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  • JIN Guoguang, WEI Zhan, QIN Kaixuan, ZHANG Yangyan
    Journal of Mechanical Engineering. 2015, 51(13): 227-234. https://doi.org/10.3901/JME.2015.13.227
    High-speed cam mechanism is widely used in vehicles, textile machinery, printing machinery etc. The research of dynamic analysis is the basis and key point to improve the mechanical properties. Discretization of the flexible elements of cam mechanism is carried out by means of finite-element method. Furthermore, the dynamic model of the rigid-flexible coupled cam mechanism is proposed based on modal synthesis technique and Kane’s equations. The dynamic equation obtained is more general for flexible beam type, and very convenient for solving by computer because it is a modal-coordinates dynamic equation. The system dynamic performance is studied by analyzing the system modal and solving the dynamic equation. The simulation of dynamics model which has different orders is carried on, which can not only ensure accuracy of calculation but also save computational resources. Research results have important guiding significance for determining whether the dynamic analysis of high-speed cam systems in practical application is required, and furthermore, research results can provide strong guide for dynamic modeling and modal characteristics research of similar mechanism.
  • LIU Xinjun,XIE Fugui,WANG Jinsong
    Journal of Mechanical Engineering. 2015, 51(13): 2-12. https://doi.org/10.3901/JME.2015.13.002
    For the past two years, robots comeback with a high profile and present huge market prospects; advanced manufacturing equipment especially high-end CNC machine tool is still in urgent demand. However, their development is still not going well due to that basic components and CNC systems rely on imported goods, manufacturing techniques of key functional units are missing, reliability and performance of lead rails and lead screws are not good enough. In particular, swing tool heads and high-performance reducers, which greatly determine the functionality and performance of machine tools and robots, are important barriers for machine tools and robots in China to catch up with the world’s advanced level. Mechanism is a basic discipline of equipment structural design, and mechanism innovation is fundamental to the equipment innovation. Then, mechanism is naturally charged with the responsibility of innovation. Incorporating with the structure, functionality and application of machine tools and robots, the opportunities encountered by mechanism in the current stage of China have been analyzed and discussed. Hopefully, this work can provide references for the effective integration of academic research and industrial demand for advanced manufacturing equipment.
  • LU Chao, YANG Xuejuan, DAI Xiang, CHANG Junjie
    Journal of Mechanical Engineering. 2015, 51(6): 79-86. https://doi.org/10.3901/JME.2015.06.079
    Acoustical guided waves modal analysis in rail is the basis of long distance guided wave inspection and rail vibration and noises control. In particular the various propagating guided waves in the rail are identified in terms of their propagation wavenumber coefficients and their corresponding deformed shapes. The semi-analytical finite element method is used to formulate the governing equation for guided waves propagating in elastic waveguides of arbitrary cross-section on the basis of the virtual work principle, wavenumber dispersion curves and deformed shapes are extracted by solving governing equation, which provide the basis for selecting mode and frequency during application. The propagating guided waves wavenumber dispersion curves and deformed shaped under 0-8 kHz frequency range for CHN60 type free rail are obtained using semi-analytical finite element method, and the characteristics of the eight based guided waves mode in rail are discussed. Instrumented hammer experimental study and modal analysis using sever vibration accelerometers mounted on rail are carried out to verify the vertically vibrating mode and horizontally vibrating mode guided waves wavenumber dispersion coefficient. Modeling and experimental investigations of lateral and vertical excitation in railhead shows that good agreement between numerical calculation and experiment.
  • NI Ziqiang,WANG Tianmiao,LIU Da
    Journal of Mechanical Engineering. 2015, 51(13): 45-52. https://doi.org/10.3901/JME.2015.13.045
    Robotics in medical have made giant strides in past several decades with its widely use in various aspects. According to it’s function and usage, medical robots are classified into 7 types: neurosurgery robot, orthopedics robot, laparoscopic robot, vascular interventional robot, prosthetics and exoskeleton robot, assistive and rehabilitation robot and capsule robot. The functions, specifications, advantages and disadvantages of present typical commercially available medical robotics are surveyed. The current research foci, key technology and future trends of medical robotics are also discussed.
  • LI Wei, YUAN Xinan, CHEN Guoming, GE Jiuhao, JIANG Yongsheng, JIA Tingliang
    Journal of Mechanical Engineering. 2015, 51(12): 8-15. https://doi.org/10.3901/JME.2015.12.008
    Drill pipe is a critical and vulnerable component in oil & gas industry. A novel feed-through alternating current field measurement (ACFM) is proposed to achieve in-service detection for axial cracks on the surface of drill pipe. The finite element model is built by ANSYS software for analyzing the induced electromagnetic field distribution and disturbance caused by the axial crack on the external surface of drill pipe. Signal features of the crack are extracted through quantitatively analyzing the relationship between the size of crack and disturbance field. On the basis of theory and FEM simulation, the feed-through ACFM system is set up and proved by the axial crack of drill pipe detection experiments. The results show that, the signal features of Bx and Bz from the feed-through ACFM system show the depth and length information of the axial crack respectively on pipe string, and the lift-off effect can meet the demands of in-service detection for drill pipe. Furthermore, the feed-through ACFM system with sensors array can detect all the axial cracks in-service with a single pass scanning.
  • YU Jingjun,HAO Guangbo,CHEN Guimin,BI Shusheng
    Journal of Mechanical Engineering. 2015, 51(13): 53-68. https://doi.org/10.3901/JME.2015.13.053
    Since the concept of compliant mechanisms (CMs) is firstly proposed in late 1980s, it develops rapidly and has become an important branch of modern mechanism community. In the past less than 30 years, dozens of design methodologies and theories for CMs have emerged, which lays a solid foundation on their successful use. With the increasing insight for flexures and CMs, more and more applications of CMs can be found in various fields. After summarizing and comparing the current design methods for flexure-based compliant mechanisms five years ago, the state-of-arts of CMs have been overviewed from the point of application in this paper. Most existing CMs are resorted to three categories, i.e. precision engineering, bionic robotics, and smart structures if considering the difference of their functions and application background. The successful uses, study focuses and even application prospects in each category of CMs are introduced case by case. Afterward, four new types of CMs with great potential applications, i.e. cellular CMs, contact aid CMs, lamina emergent mechanisms, and static balance CMs are illustrated in brief. We hope more scholars all over the world start to study these amazing CMs and industrial personnel pay more attention on the usage of CMs as well after getting the overview of CMs.
  • ZENG Ming, YANG Yu, ZHENG Jinde, CHENG Junsheng
    Journal of Mechanical Engineering. 2015, 51(3): 95-103. https://doi.org/10.3901/JME.2015.03.095
    In order to extract machinery fault characteristics that are submerged in strong background noise, a general singular value decomposition (SVD) based subspace noise reduction algorithm is applied to signal processing, i.e., μ-SVD based denoising method. It can be proved that the traditional SVD based denoising method is a special case of the μ-SVD based one where μ=0. μ-SVD based denoising method contains a filter factor that plays a role in restraining information contributions of the noise-domain singular values to the denoised signal. μ-SVD based denoising method involves five parameters, including delay time, embedding dimension, noise reduction order, noise power and Lagrange multiplier. The selection methods for these parameters are discussed. In particular, the effects of noise reduction order and Lagrange multiplier on denoising performance are also studied. The experimental results of simulation signal with local fault and vibration signal with early crack fault in gear demonstrate that the μ-SVD based denoising method is superior to the traditional one in denoising performance, and can more effectively extract the gear fault characteristics at the presence of strong background noise.
  • DIAO Ruipeng,MENG Qingfeng,FAN Hong
    Journal of Mechanical Engineering. 2015, 51(4): 1-7. https://doi.org/10.3901/JME.2015.04.001
    The major parameter estimation error source for discrete Fourier transform are spectrum leakage and picket fence effect. A weighted two points vector interpolation algorithm based on Rife-Vincent window for improving the estimation accuracy of parameters for the multi-frequency damped signals is presented, where the signals are weighted by M-order cosine window family before the discrete Fourier transform and the equations with nuknown of frequency deviation and decay factor is established by the ration of two adjacent spectral lines near the real frequency position. The frequencies, amplitudes and phases are calculated by the frequency deviation solved from the above equation. The cosine window family with the characteristic of maximum sidelobe decay can essentially remove the spectral leakage and two point vector interpolation will cope with the problem of the picket fence. To combine the merits of the above two method can effectively increase the accuracy. The simulation and test results show that the proposed algorithm has a higher estimate accuracy and steady estimates. The higher computational efficiency and lower memory demand are suggested especially for poor computing resource situations. It also can be used as an optional method for the features extraction of the multi-frequency damped signals.
  • HONG Huangjie,WANG Hongyan,LI Jianyang,RUI Qiang,ZHANG Fang
    Journal of Mechanical Engineering. 2015, 51(4): 148-154. https://doi.org/10.3901/JME.2015.04.148
    Based on thermodynamics theory and finite element method, a finite element model of equipment and its airbag cushion system is established and verified experimentally. The simulation results are obtained under the same conditions of the airdrop test and the simulation results agree very well with the experimental results, which indicate the established model is valid for further research. Because nonlinear model of airbags cushion system is very complicated, the calculation takes tens of hours of CPU time. As a result, the large-scale calculation is impossible. In order to overcome this problem, surrogate models are employed instead of the complex finite element model based on extended latin hypercube method and radial basis function. Initial velocity, initial heeling angle, initial pitch angle, lateral velocity and gradient are variables, while maximum acceleration, maximum heeling angle, maximum pitch angle and maximum airbag pressure are responses. Considering the influence of landing condition, Monte Carlo method and surrogate model are used to calculate landing success probability of airdropping equipment under multi-condition. The landing success probability calculated is 95.84%. Acceleration is the primary contributor to cushion performance, while pressure inside airbag is secondary contributor.
  • WU Zijun,HUANG Zhengdong,ZUO Bingquan,LIU Qinghua,YIN Xiaoliang
    Journal of Mechanical Engineering. 2015, 51(5): 114-129. https://doi.org/10.3901/JME.2015.05.114
    Isogeometric analysis (IGA) is a novel numerical method for solving equations of physical fields, which is motivated by improving the integration between numerical simulations of physical phenomena and the computer-aided design tools, and provides a new way to associate product design with analysis and optimization via a common mathematical platform. The method of geometric modeling and its mathematical description are introduced in detail based on the computational framework of IGA. Taking NURBS as an example, the parametric representation in an analysis model and the mesh refinement method are analyzed, and the discretization methods, boundary conditions and quadrature in the parametric domain of IGA are discussed as well by comparing them with those in the standard finite element analysis. Applications of IGA in thermal analysis, fluid-structure interaction, contact problems and structural optimization are summarized and a simple example of 2D problem is provided.
  • LIU Yanjie,WU Mingyue,WANG Gang,CAI Hegao
    Journal of Mechanical Engineering. 2015, 51(1): 1-9. https://doi.org/10.3901/JME.2015.01.001
    A method for structural optimization design of wafer handling robot is presented. The static deformation of the end effector is employed as the constraint of the method. The nature frequencies of the rigid links flexible joints system are selected as the optimization objectives, and the thicknesses of the arms are determined as the optimization parameters. The dynamic model of the rigid links and flexible joints is established, and the modal analysis is carried out to determine the orders of the modal which will influence the trajectory precision. The masses of the second arm and the third arm are selected as the optimization parameters by the sensitive analysis of the nature frequencies. The deflection model of the arm is established with the variables of the thicknesses of the arm. The relationships between the thicknesses and the deformation of the end effector are analysed, and the structures of the arms are optimized based on the analysis. The comparison between the performance before optimization and the performance after optimization are carried out, and the result shows that the nature frequencies and the frequency of the vertical vibration are significantly enhanced and the deflection of the end effector is obviously reduced.
  • LI Zhibo, HUANG Qiangxian, SHI Kedi, HAN Bin, YU Huijuan
    Journal of Mechanical Engineering. 2015, 51(2): 1-6. https://doi.org/10.3901/JME.2015.02.001
    Recently, micro-nano coordinating measuring machine(CMM) has become a research focus in the field of three-dimensional(3D) micro-nano measurement. Due to the difficulty of the development of a 3D nano probe, a novel 3D resonant trigger probe has been proposed. This probe can reach nanometer/sub-nanometer resolution in three-dimensions, and its operation principle is different from the present contact probes and optical non-contact probes. The 3D nano resonant trigger probe is constructed by a piece of piezo-electrical PVDF film, two piezo-actuators, an integrated fiber micro-stem and micro-ball tip. The PVDF film vibrates at its resonant frequency and acts as a sensor. Using the piezoelectric property of PVDF film and the high sensitivity of its resonant parameters to the micro-force, the probe can give 3D trigger signal. The probe contacts the sample in traditional tapping-mode in z direction and friction-mode in both x and y directions. Experimental results show that the trigger resolution of 3D resonant trigger positioning system constructed by the above probe, 3D nano positioning unit, the feedback control module and the signal processing circuit could reach sub-nanometer resolution, which is 0.12 nm in x direction and 0.10 nm in y direction, while 0.12 nm in z direction. The 3D repeatability error is 26 nm, 36 nm and 10 nm respectively. The results demonstrate the validity of the new type of 3D nano resonant trigger probe and positioning system.
  • SHAN Tongxin, WANG Zhenpo, HONG Jichao, QU Changhui, ZHANG Jinghan, ZHOU Yangjie, HOU Yankai
    Journal of Mechanical Engineering. 2022, 58(14): 252-275. https://doi.org/10.3901/JME.2022.14.252
    Thermal runaway is the ultimate form of battery fault and failure, and it is also a major industry pain point that restricts the large-scale promotion and application of electric vehicles. A comprehensive overview of the different mechanical abuse forms of power batteries and characteristics, mechanisms and prevention technologies of thermal runaway caused by mechanical abuse is given, pointing out the limitations of current research. By summarizing typical vehicle accidents and mechanical prevention technologies, a research idea of reproducing historical operating conditions by real-world vehicle operating data is proposed, and a five-level evolutionary risk assessment model for thermal runaway of power battery of "fault-smoke-leak-fire-explosion" is put forward. This model uses the judgment and identification of critical thresholds of thermal runaway characteristic parameters to predict and give the early warning of mechanical abuse and thermal runaway. Then corresponding measures will be taken to suppress the triggering and spread of thermal runaway based on accident characteristics, which has important guiding significance and promotion application value for new energy vehicle power battery system and vehicle safety design.
  • YAN Yan, LIU Yi, ZHU Junzhen, MIAO Ling, CHEN Xiaotian, ZHOU Yu, LU Yanping, GAO Bin, TIAN Guiyun
    Journal of Mechanical Engineering. 2021, 57(18): 75-85. https://doi.org/10.3901/JME.2021.18.075
    The long-term pressure and impact load brought by the interaction between wheels and tracks would cause Rolling Contact Fatigue (RCF) cracks on the rail surface and sub-surface. RCF cracks usually propagate along the surface of the rail and the direction perpendicular to the rolling surface of the rail. Conventional Non-destructive Testing (NDT) methods are difficult to quantify the three-dimensional shape and size of cracks. To overcome this challenge, a novel RCF crack quantification method is proposed, which utilizes skewness feature extracted from the RCF crack area's thermal videos. To validate the proposed method, multiple specimens with real RCF cracks have been prepared, and the location, direction, and depth of individual RCF cracks have been obtained through industrial Computer Tomography (CT) scanning for comparison. According to experimental results, the crack angle on the rail surface represented by the skewness is linearly related to the results obtained by CT, and the correlation coefficient is about 0.97. The correlation coefficient between the spatial propagation angle of cracks inside the rail calculated by the skewness and that in the CT is approximately 0.85. The correlation coefficient between the closed crack length value of the rail represented by the skewness and the results of CT is about 0.94. The skewness value has an approximately linear relationship with the corresponding crack depth, and the correlation coefficient reaches 0.98. The above results show that the proposed method can effectively realize the quantitative evaluation of RCF cracks. It also indicates that ECPT has broad application prospects in early diagnosis, quantitative evaluation, visualization, and in-situ inspection of RCF cracks.
  • DING Wenjun,SONG Baowei,MAO Zhaoyong,ZHAO Xiaozhe
    Journal of Mechanical Engineering. 2015, 51(2): 141-147. https://doi.org/10.3901/JME.2015.02.141
    To achieve long operation time for the detection device on the detecting unmanned underwater vehicle (UUV) in shallow water, a wave energy conversion system is proposed. This can harvest wave energy and convert to electrical energy near water surface. The principle structure and the design parameters of the permanent generator are described in detail. The mathematical model of the system is established according to Lagrange Equation. The influence on the power performance is investigated over a range of sea state by solving the simplified equation of motion using the Runge-Kutta method. Research results show that the proposed wave energy conversion system is reasonable and feasible, which can satisfy the energy demand of the detection device under general sea state. And the results also show that the parameters of the amplitude, the period and the coupling motion of roll have a high impact, the impaction of coupling motion of heave can be negligible. The research results will provide a theoretical basis for the engineering test of the wave energy conversion system.
  • CAI Shibo, TAO Zhicheng, WAN Weiwei, YU Haoyong, BAO Guanjun
    Journal of Mechanical Engineering. 2021, 57(15): 1-14. https://doi.org/10.3901/JME.2021.15.001
    A multi-fingered dexterous hand is a highly flexible and complex end-effector for robots. Since it can imitate various dexterous grasping and complex manipulation abilities of human hand, multi-fingered dexterous hand has been continuously studied and developed for more than half a century and has attracted extensive attention and received wide expectation from the public. In this paper, the research and development of humanoid multi-fingered dexterous hands are reviewed and analyzed. The complexity of multi-fingered dexterous hand is analyzed from aspects of bionic structures, actuation systems, transmission, sensing, composite/smart materials, and modeling and control. The complexity of multi-fingered dexterous hand is discussed from an applicational viewpoint in three levels:Partial function repetition, agile manipulation imitation, and function enhancement of human ability. Simplified realization of the complex application based on multi-fingered dexterous hand is also discussed. The dialectical relationship between the complexity of multi-fingered dexterous hand and the simplicity of application is illustrated. Finally, the trend and challenges of the multi-fingered dexterous hand research are analyzed concerning bionics, flexible sensing technology, manipulation planning, control strategy, and reducing cost.
  • SHE Chengqi, ZHANG Zhaosheng, LIU Peng, SUN Fengchun
    Journal of Mechanical Engineering. 2019, 55(20): 3-16. https://doi.org/10.3901/JME.2019.20.003
    New energy vehicle(NEV) has been widely used around the world in response to the fossil energy crisis and environmental pollution problems. NEV will generate massive real-world data during its daily operating which is contributed by high electrification and intelligent networking. Applying these multi-source heterogeneous data for a security warning and technical analysis will play a key role in promoting the development of NEV industry in China. The current situation of data-driven analysis technology in the NEV field is reviewed. Firstly, the basic theory of big data analysis techniques are introduced and the development of big data technology is depicted. The structure and function of the National Monitoring and Management Platform for New Energy Vehicles are introduced, and the particular process of big data analysis on NEV is emphasized. The previous data-driven research and methods in power battery, NEV daily operation and charging behavior are proposed for discussion respectively. Some representative research results and applications are displayed at the same time. Finally, the issues and prospects of the data-driven method on NEV application field are summarized and forecasted.
  • Article
    YUAN Julong;ZHANG Feihu;DAI Yifan;KANG Renke;YANG Hui;LÜBinghai
    . 2010, 46(15): 161-177.
    Ultra-precision machining is essential method for obtaining the highest quality in terms of form accuracy, surface finish Ultra-precision machining is essential method for obtaining the highest quality in terms of form accuracy, surface finish and surface integrity. As the higher requirements of quality and diversifications for products are put forward, it is essential to improve the precision and efficiency of ultra-precision machining. Ultra-precision machining has become a complicated systems engineering, which involves more and more last research fruits. The conception, application fields, present research status, development tendency, and the key issues of future researches on scientific and technological f of ultra-precision machining are introduced in this paper. Some advanced and typical ultra-precision machine tools, ultra-precision cutting, grinding, and polishing are reviewed and compared in terms of machining accuracy, quality and efficiency. The main problems and miss distance from the advanced technologies of China in ultra-precision machining field are analyzed. In the same time, the probable further trend of ultra-precision machining is forecasted, and the developing countermeasure and strategy of fundamental research, technologies and industry in China are given.
  • PEI Hong, HU Changhua, SI Xiaosheng, ZHANG Jianxun, PANG Zhenan, ZHANG Peng
    Journal of Mechanical Engineering. 2019, 55(8): 1-13. https://doi.org/10.3901/JME.2019.08.001
    With the development of science and technology as well as the advancement of production technology, contemporary equipment is increasingly developing towards large-scale, complex, automated and intelligent direction. In order to ensure the safety and reliability of equipment, the remaining useful life (RUL) prediction technology has received widespread attention and been widely used. Traditional statistical data-driven methods are obviously influenced by the choice of models. Machine learning has powerful data processing ability, and does not need exact physical models and prior knowledge of experts. Therefore, machine learning has a broad application prospect in the field of RUL prediction. In view of this, the RUL prediction methods based on machine learning are analyzed and expounded in detail. According to the depth of machine learning model structure, it is divided into shallow machine learning methods and deep learning methods. At the same time, the development branches and research status of each method are sorted out, and the corresponding advantages and disadvantages are summarized. Finally, the future research directions of RUL prediction methods based on machine learning are discussed.
  • Journal of Mechanical Engineering. 2018, 54(24): 233-245.
  • SUN Zhenyu, WANG Zhenpo, LIU Peng, ZHANG Zhaosheng, CHEN Yong, QU Changhui
    Journal of Mechanical Engineering. 2021, 57(14): 87-104. https://doi.org/10.3901/JME.2021.14.087
    To achieve significant fuel consumption and carbon emission reductions, new energy vehicles have become a transport development trend throughout the world. However, new energy vehicle safety issues are increasingly prominent with the increase of new energy vehicle, which seriously threatens the life and property of drivers, and restricts the development of new energy vehicles industry. According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery system has become a hot spot in the field of safety protection. In order to fill the gap in the latest Chinese review, the faults of power battery system are classified into internal faults and external faults based on the difference of fault location, and the failure mechanisms of over-charge, over-discharge, external short circuit, internal short circuit, sensor fault, connector fault and cooling system fault are described. From the perspectives of internal faults and external faults, the research status and latest progress of three types of fault diagnosis methods are summarized including knowledge-based, model-based and data driven for lithium-ion power batteries. The main problems in the current research and future development on power battery fault diagnosis technology are discussed. In this way, accurate diagnosis and early prevention of power battery system faults can be realized, the life and property safety of drivers can be guaranteed, and the safety and the further development of the new energy vehicle can be promoted.
  • LI Yan, LIU Hongwei, LI Mengdie, YUAN Ping
    Journal of Mechanical Engineering. 2017, 53(15): 1-20. https://doi.org/10.3901/JME.2017.15.001
    Design and innovation are the dominant themes of current times. Innovation is not the equivalent of technological invention, and it focuses on creating value by design, during the whole process of delivering technologies to users. Design thinking is the thought pattern to implement this process, and it is a way of innovation with considerable influence, high efficiency, and wild applicability. Design thinking can be broadly extended and integrated to every level as well as every field of the society. Therefore, any person or group can create new ideas efficiently by design thinking, and then make these ideas tangible as well as effective. Currently, the domestic and international scholars have carried out intensive research on design thinking and its related dimensions. This article systematically reviews the advances of research from the connotation of design thinking, implementation process of design thinking, methods and tools for design thinking, and research methods for design thinking. Finally, some existing issues and suggestions for further research are also summarized.
  • TAO Yong, LIU Haitao, WANG Tianmiao, HAN Dongming, ZHAO Gang
    Journal of Mechanical Engineering. 2022, 58(18): 56-74. https://doi.org/10.3901/JME.2022.18.056
    With the rapid development of service robots, the robots are used in various fields involving economic and social development, such as medical rehabilitation, education and entertainment, domestic services, emergency and disaster relief, public services and commercial applications. Countries around the world attach great importance to the development of service robots and give them key support as a strategic emerging industry, and service robots are great strategic importance. Firstly, the industrial chain of service robots and relevant international organizations are introduced. The development strategies and plans of service robots proposed by developed countries such as the United States, the European Union, Japan and South Korea are expounded. The driving forces and characteristics of the rapid development of service robots are proposed. The leading service robot research institutions and related companies at home and abroad are presented. The development scale of foreign and domestic service robot industry are proposed. Then, based on the introduction of the development status of service robots at home and abroad, it focuses on the status and progress of medical and health robots, home service robots, public service robots, high-end bionic robots, automated warehousing and logistics robots and special robots. The core technologies such as environment perception and motion control of robots, core components, human-computer interaction, and operating systems are proposed. The cross-integration development of service robots and cutting-edge technologies such as AI, big data, and cloud computing are introduced. Finally, some suggestions of the service robot industry development are proposed. Based on the introduction of the progress and cutting-edge trends of service robot technology, it can provide relevant references and suggestions for the development of service robot technology and industrial development.
  • Article
    Hou Liang;Tang Renzhong;Xu Yanshen
    . 2004, 40(1): 56-61.
    As an important approach to realize MC and AM, modular product design can produce more variety of products with limited resources by combination of different modules. Such method is viewed as a goal of good design practice in current engineering. However, it is not received sufficient attention in the literature, and most solutions are proposed at an abstract level. The literature on modular product design focusing on definitions, methodologies, key technologies and its application is reviewed. Finally, some focused research issues on modular product design are formulated.
  • FANG Fang, ZHENG Hui, WANG Yu, QIU Lei
    Journal of Mechanical Engineering. 2021, 57(16): 269-292. https://doi.org/10.3901/JME.2021.16.269
    With the flourishing development of mechanical equipment, such as aerospace vehicle, high-speed train, nuclear power plant and wind turbine, the mechanical Structural Health Monitoring (SHM) which could ensure the high performance and reliability of mechanical structures has been universally emphasized. By SHM, the mechanical structure can be monitored online during the service process of structure. In addition, the scheduled maintenance can be replaced by the as-needed maintenance. As a result, the structural maintenance cost can be reduced while the safety and reliability of the mechanical structure can be ensured. A review of the critical aspects of the mechanical SHM is presented. First, the development status of mechanical SHM in aerospace, energy and chemical industry, wind turbine and high-speed railway is illustrated. Then, concerns regarding of the advanced sensing technology, SHM systems and SHM methods commonly used in mechanical SHM are presented and reviewed. Finally, the crucial points for further exploring methods and technologies of the mechanical SHM are summarized.
  • SONG Xueguan, LAI Xiaonan, HE Xiwang, YANG Liangliang, SUN Wei, GUO Dongming
    Journal of Mechanical Engineering. 2022, 58(10): 298-325. https://doi.org/10.3901/JME.2022.10.298
    Accurate prediction and reliable analysis of morphology and performance of major equipment is one of the key technologies to realize its intelligence and independent innovation. As a link connecting the physical world and the digital world, digital twin can realize true mirror of the whole life for material design of physical entity, structure design, manufacturing, and operation and maintenance management in digital space. Facing the geometric morphology and mechanical performance of major equipment, and analyzing the difficulties in establishing its digital twin, a solution of “computation -measurement combination” based on measurement data and mechanism model is proposed. Considering the timeliness and accuracy requirements of the twin model, a shape-performance integration digital twin(SPI-DT) framework for major equipment is built. Additionally, six specific problems faced by building the digital twin of major equipment are discussed in detail, including “unrealizable calculation”, “inaccurate calculation”, “delayed calculation”, “unmeasurable data”, “incomplete measurement” and “inaccurate measurement”, and the relevant solutions and key technologies are given. The feasibility and validity of the proposed framework and key technologies are described by combining typical case, which provides a theoretical and methodical reference for the further application of digital twin in major equipment. Finally, the future development trend and further challenges of digital twin of major equipment are discussed.
  • LEI Yaguo,JIA Feng,ZHOU Xin,LIN Jing
    Journal of Mechanical Engineering. 2015, 51(21): 49-56. https://doi.org/10.3901/JME.2015.21.049

    Mechanical equipment in modern industries becomes more automatic, precise and efficient. To fully inspect its health conditions,condition monitoring systems are used to collect real-time data from the equipment, and massive data are acquired after the long-time operation, which promotes machinery health monitoring to enter the age of big data. Mechanical big data has the properties of large-volume, diversity and high-velocity. Effectively mining characteristics from such data and accurately identifying the machinery health conditions with advanced theories become new issues in machinery health monitoring. To harness the properties of mechanical big data and the advantages of deep learning theory, a health monitoring and fault diagnosis method for machinery is proposed. In the proposed method, deep neural networks with deep architectures are established to adaptively mine available fault characteristics and automatically identify machinery health conditions. Correspondingly, the proposed method overcomes two deficiencies of the traditional intelligent diagnosis methods: (1) the features are manually extracted relying on much prior knowledge about signal processing techniques and diagnostic expertise; (2) the used models have shallow architectures, limiting their capability in fault diagnosis issues. The proposed method is validated using datasets of multi-stage gear transmission systems, which contain massive data involving different health conditions under various operating conditions. The results show that the proposed method is able to not only adaptively mine available fault characteristics from the data, but also obtain higher identification accuracy than the existing methods.

  • WANG Guobiao,CHEN Diansheng,CHEN Kewei,ZHANG Ziqiang
    Journal of Mechanical Engineering. 2015, 51(13): 27-44. https://doi.org/10.3901/JME.2015.13.027
    Bionic robots are good performance mechanical and electrical systems which imitate biological structures and motion characteristics of organisms according to the principles of bionics. They have shown their potential use in the dangerous conditions to human beings, such as anti-terrorism, space exploration and rescue. The bionic robots can be divided into three types according to their work conditions, such as the land bionic robots, the air bionic robots, and the underwater bionic robots. The developments of the bionic robots have experienced three stages, such as original exploration, imitation of the biological prototypes’ appearances and motions, mechanical and electrical systems with partial biological properties. The research status at home and abroad of these three types robots is discussed. And several problems of the researches are found after analysis, such as the lack of the biological motion mechanism researches, the traditional construction, material, driving and controlling mode, and the low efficiency of the power, leading to the difference between robots and creatures. These problems make the bionic robots similar in shape to the creatures but very different in essence. So the bionic robots now days are absence of effective applications. The development trend is pointed out that the bionic robots are developing towards lifelike system, including moving toward the rigid-flexible mechanism, integration of the bionics construction, material and driver, neuron fine control, and the efficient power transformation.
  • WANG Kangkang, WANG Xiaowei, WEN Jianfeng, ZHANG Xiancheng, GONG Jianming, TU Shantung
    Journal of Mechanical Engineering. 2021, 57(16): 132-152. https://doi.org/10.3901/JME.2021.16.132
    Creep rupture is one of the major failure modes for high temperature components, which often occurs without obvious sign and thus often brings disastrous consequences. Clarifying micro-physical mechanisms of creep failure and building appropriate creep life models are the key elements to perform the high temperature structural integrity assessment, creep life design, operation and maintenance. Starting with the physical mechanism of creep failure at micro scale, the aim is to seek for a foothold in the lifetime prediction method. Meanwhile, the mechanisms of creep cavity nucleation and growth, the mechanical models describing creep damage behaviours, the basic theory and the key technology needed for creep lifetime prediction of components and their weldments are reviewed as well. Finally, the method of lifetime prediction based on digital twins is forecasted.
  • YU Jingjun, XIE Yan, PEI Xu
    Journal of Mechanical Engineering. 2018, 54(13): 1-14. https://doi.org/10.3901/JME.2018.13.001
    Since the concept of metamaterials is firstly proposed in the early 21st century, it has gradually developed into an important branch of new material technology. In recent years, dozens of metamaterials with diverse functions have emerged in endlessly in various fields. A comprehensive overview of metamaterials involved in acoustics, optics, thermology, mechanics and electromagnetics is stated. Focusing on metamaterials with negative Poisson's ratio, a research progress about the design of negative Poisson's ratio unit cells (including re-entrant structure, rotating polygons, chiral structure, etc.) is systematically reviewed in the perspective of their deformation mechanism. The thermal and acoustic metamaterials based on negative Poisson's ratio unit cells are detailed investigated from functional principles to basic properties. Prospects to the upcoming challenges and development trends of negative Poisson's ratio metamaterials are made.
  • Journal of Mechanical Engineering. 2019, 55(24): 269-280.
  • DING Lianghong
    Journal of Mechanical Engineering. 2015, 51(7): 1-23. https://doi.org/10.3901/JME.2015.07.001
    The core technology of the BigDog quadruped robot is analyzed. Adapting to the rough terrain is the main design clues of the BigDog. Improving horizontal and vertical degrees of freedom linkage ability is the main innovation of structure design. Not good motion characteristics, such as robot’s center of gravity ups and downs and self disturbance are the main reasons for being difficult to control. The components and advantage of the hydraulic power system are analyzed. Solving the driver problem of legged vehicles is the fundamental goal of the hydraulic system development. Supporting leg slipping or not, pitch and roll angle of the body too large or not are the main parameters as monitoring robot’s movement condition. IMU and joint encoder can detect the state parameters of the body and limbs. Terrain of foot placement can be restored by pressure sensor. Three-in-one can build a virtual model. By the virtual model, robot’s center of gravity and other key control process parameters can be calculated. At the same time, locomotion control system can do action drill roughly and accurate planning of kinematics or dynamics. The deviation of planning and prototype model is taken as the feedback for closed-loop control. LS3 constructs the navigation system of three-dimensional laser scanner and binocular vision as the main. LS3 can stride across rocky terrain by visual terrain reconstruction. Software system can integrate all the basic functions as an organic whole. Autonomy and intelligence of robot are discussed. BigDog/LS3 and Curiosity Mars Rover are compared and analyzed. BigDog has three big problems currently: instantaneously unable to increase hydraulic value significantly, all kinds of damage in mechanical transmission, bionic design not thoroughness. For the inadequacies of BigDog, several improvements are analyzed on the LS3. Petman, Cheetah and Wildcat robot are briefly analyzed. Atlas biped robot has crash protection function and can recovery equilibrium status quickly after external force hitting by virtual model.
  • HAO Daxian, WANG Wei, WANG Qilong, YUN Chao
    Journal of Mechanical Engineering. 2019, 55(3): 1-17. https://doi.org/10.3901/JME.2019.03.001
    With increasing applications of composites in many industries, especially in the aerospace field, the low cost, high efficiency and automation of composite material processing has been becoming urgently needed. Robotic or roboticized equipments have unique advantages in processing composite material, providing high automation levels, low the production cost, good versatility for fabricating complex parts. The current research status of robotic composite material processing methods is introduced and discusses the development trend of robot in composite material processing.
  • ZHU Xiaoqing, WANG Zhenpo, WANG Hsin, WANG Cong
    Journal of Mechanical Engineering. 2020, 56(14): 91-118. https://doi.org/10.3901/JME.2020.14.091
    Lithium-ion battery is considered to be the most promising type of traction battery of electric vehicles (EVs) for its high energy density, long cycle life and no memory effect. With the continuous improvement of energy density of lithium-ion batteries and the reduction of manufacturing costs, the safety accidents characterized by thermal runaway have occurred frequently, which seriously threatens the safety of passengers' lives and property. Therefore, the issue of lithium-ion battery thermal runaway has become a research focus in the field of EVs. Meanwhile, the development of related fields also needs the guidance of such review articles. From a safety point of view, a comprehensive overview of current state of thermal runaway within lithium-ion batteries used in EVs is summarized, as well as the latest research results. Moreover, the trigger and failure mechanisms of thermal runaway are clarified, and the methods to improve the safety of lithium-ion power battery system are summarized comprehensively, with the aim of promoting the development of safety management methods and strategies for advanced lithium-ion battery systems and improving the safety of traction battery systems. The gap of the lack of Chinese review papers is filled in this field.
  • Article
    QIU Zurong;SHI Zhaoyao;LI Yan
    . 2010, 46(14): 1-11.
    The connotation and composition of measuring science in mechanical manufacture are introduced. It is pointed out that measuring technology is an indispensable part of mechanical science and advanced manufacture, just like eyes to human. The applications and innovation demands of mechanical manufacturing direct the main research content and development of this field. Along with the change of international economic pattern and the rapid economic and technological development trend of our country in recent years, the development degree of measuring and testing technology is to become the basis and key to the sustainable development of our country’s manufacturing industry in the future. Based on the development of the measuring and testing technology in global mechanical manufacture in recent years, the development trend and the research hotspots of measuring technology in this field. The suggestions on the key projects and research programs in this field are put forward.
  • LEI Yaguo, JIA Feng, KONG Detong, LIN Jing, XING Saibo
    Journal of Mechanical Engineering. 2018, 54(5): 94-104. https://doi.org/10.3901/JME.2018.05.094
    Faults are a potential killer of large-scale mechanical equipment, such as wind power equipment, aircraft engines and high-end CNC machine. And fault diagnosis plays an irreplaceable role in ensuring the health operation of such equipment. Since the amount of the equipment diagnosed is great and the number of the sensors for the equipment is large, massive data are acquired by the high sampling frequency after the long-time operation of equipment. Such massive data promote fault diagnosis to enter the era of big data. And machinery intelligent fault diagnosis is a promising tool to deal with mechanical big data. In the big data era, new opportunities have been brought to intelligent fault diagnosis. For instance, data-centric academic thinking will become mainstream, it makes fault diagnosis in the system level possible, and a comprehensive analysis of faults becomes a trend. Meanwhile, new challenges have also been brought:the data are big but fragmentary, the fault feature extraction relies on much prior knowledge and diagnostics expertise, and the generalization ability of the shallow diagnosis model is weak. The characteristics of big data in intelligent fault diagnosis are discussed, and the inland and overseas research advances are reviewed from the three steps of intelligent fault diagnosis. The existing key problems of the current research in the era of big data are pointed out, and the approaches and research directions to these problems are discussed in the end.
  • LIU Wei, LI Neng, ZHOU Biao, ZHANG Guodong, LIANG Jiayu, ZHENG Tao, XIONG Huaping
    Journal of Mechanical Engineering. 2019, 55(20): 128-151,159. https://doi.org/10.3901/JME.2019.20.128
    With the characteristics of point by point melting and layer by layer manufacturing, additive manufacturing (AM), on one hand, can fabricate the three-dimensional complex structure parts rapidly; on the other hand, it can realize the high performance of materials. Based on the technological advantages and important application prospects of AM technology, the recent efforts and advances in AM on complex structures including:lattice structures, large thin-walled structures, complex surface structures, integrated structures; and materials including:iron-based alloys, titanium-based alloys, nickel-based alloys, aluminum-based alloys, intermetallic compounds, functionally gradient materials, ceramics are presented and reviewed. The development trend of AM on structure design, special materials system, new materials, repairing and remanufacturing, data base and standards are also forecasted.
  • LIU Jianhua, SUN Qingchao, CHENG Hui, LIU Xiaokang, DING Xiaoyu, LIU Shaoli, XIONG Hui
    Journal of Mechanical Engineering. 2018, 54(11): 2-28. https://doi.org/10.3901/JME.2018.11.002
    With the rapid development of precision and ultra-precision machining technology at home and abroad, precision and consistency of machined parts have been improved prominently. Hence, the assembly process is playing a more and more important role in assuring the performance of assembled products, and the related research is gaining widespread attention. However, domestic research on the products assembly technology is relatively lagging and lacks a comprehensive research system. Based on the state-of-the-art of the products assembly technology, its classification and connotation is elaborated, and a comprehensive research framework of the products assembly technology is established. Based thereon, the basic research contents of the framework are discussed, including design for assembly, assembly process design and simulation, assembly process equipment, assembly measurement, assembly workshop management, etc. Finally, the developing trends of the products assembly technology, i.e., integration, precision, micro-nano, intelligence, are pointed out.
  • SHI Yusheng, WU Hongzhi, YAN Chunze, YANG Xiao, CHEN Daobing, ZHANG Ce, SU Bin, SONG Bo, LI Zhongwei, PANG Shengyong, WEN Shifeng, LIANG Bo, ZHAO Qingliang, HE Jiankang, ZHANG Shuquan, WEN Yintang
    Journal of Mechanical Engineering. 2020, 56(15): 1-25. https://doi.org/10.3901/JME.2020.15.001
    4D printing technology has aroused widespread attention in the academic and industrial communities since its conceptualization in 2013. It is an additive manufacturing technology for fabricating intelligent components and a revolutionary manufacturing technology based on the high degree of cross-integration of the disciplines including materials, mechanical engineering, dynamics, information, etc. This review paper clarifies the concept and connotation of 4D printing and introduces the application prospects of 4D printing in aerospace, automotive, biomedical and software robots. The state of the art of intelligent component design, simulation, materials, manufacturing processes & equipment, and functional evaluation of intelligent components in 4D printing are also describe. Some existing problems are pointed out, and the research thoughts on 4D printing are put forward. Finally, we propose the development direction and research focus of 4D printing in the future.
  • WANG Zhenpo, WANG Qiushi, LIU Peng, ZHANG Zhaosheng
    Journal of Mechanical Engineering. 2023, 59(2): 151-168. https://doi.org/10.3901/JME.2023.02.151
    State of health estimation of power batteries is one of the key algorithms of the battery management systems, which is of great significance for improving power battery energy utilization efficiency, reducing thermal runaway risk, as well as power battery maintenance and residual value evaluation. Comparative analysis has been done on experimental-based, model-based and data-driven methods, and data-driven methods are elaborated from three aspects:dataset construction, health indicators extraction, model establishment. The big data collection methods and data preprocessing methods are summarized. The health indicators extraction methods are compared by their pros and cons and applicable scenarios. The basic principles of different health state estimation models are discussed. The conclusion that model fusion is the direction of future technology development is proposed. Finally, facing the future application scenarios of big data in electric vehicles, the current issue and prospective are depicted.