Chinese Journal of Mechanical Engineering >

2021 , Vol. 34 >Issue 1: 17 - 17

DOI: https://doi.org/10.1186/s10033-021-00539-6

Original Article

Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information

  • Zhaojun Yang ,
  • Jinyan Guo ,
  • Hailong Tian ,
  • Chuanhai Chen ,
  • Yongfu Zhu ,
  • Jia Liu
Expand
  • 1. China Key Laboratory of CNC Equipment Reliability, Ministry of Education, Changchun 130025, China;
    2. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China;
    3. College of Materials Science and Engineering, Jilin University, Changchun 130025, China;
    4. School of Electrical and Mechanical Engineering, Changchun University of Science and Technology, Changchun 130025, China

Received date: 2020-01-13

  Revised date: 2020-12-16

  Online published: 2021-08-09

Supported by

Supported by National Natural Science Foundation of China (Grant Nos. 51675227, 51975249), Jilin Province Science and Technology Development Funds (Grant Nos. 20180201007GX, 20190302017GX), Technology Development and Research of Jilin Province (Grant No. 2019C037-01), Changchun Science and Technology Planning Project (Grant No. 19SS011), and National Science and technology Major Project (Grant No. 2014ZX04015031)

Fold

Abstract

Heavy-duty machine tools are composed of many subsystems with different functions, and their reliability is governed by the reliabilities of these subsystems. It is important to rank the weaknesses of subsystems and identify the weakest subsystem to optimize products and improve their reliabilities. However, traditional ranking methods based on failure mode effect and critical analysis (FMECA) does not consider the complex maintenance of products. Herein, a weakness ranking method for the subsystems of heavy-duty machine tools is proposed based on generalized FMECA information. In this method, eight reliability indexes, including maintainability and maintenance cost, are considered in the generalized FMECA information. Subsequently, the cognition best worst method is used to calculate the weight of each screened index, and the weaknesses of the subsystems are ranked using a technique for order preference by similarity to an ideal solution. Finally, based on the failure data collected from certain domestic heavy-duty horizontal lathes, the weakness ranking result of the subsystems is obtained to verify the effectiveness of the proposed method. An improved weakness ranking method that can comprehensively analyze and identify weak subsystems is proposed herein for designing and improving the reliability of complex electromechanical products.

Key words： Complex electromechanical products; Weakness ranking method; Failure mode effect and critical analysis (FMECA); Cognition best worst method (CBWM); Technique for order preference by similarity to an ideal solution (TOPSIS)

Cite this article

Zhaojun Yang , Jinyan Guo , Hailong Tian , Chuanhai Chen , Yongfu Zhu , Jia Liu . Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information[J]. Chinese Journal of Mechanical Engineering, 2021 , 34(1) : 17 -17 . DOI: 10.1186/s10033-021-00539-6

References

[1] D Zappala, N Sarma, S Djurovic, et al. Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults. Renewable Energy, 2019, 131: 14-24.
[2] Y Kaneko, H Kanki, R Kawashita. Steam turbine rotor design and rotor dynamics analysis. Advances in Steam Turbines for Modern Power Plants, Woodhead Publishing, 2017: 127-151.
[3] S P Chen, Z Z Wang, H Yu, et al. Research on automatic compensation technology for eccentricity of grinding wheel. International Journal of Precision Engineering and Manufacturing, 2018, 19(8): 1201-1209.
[4] M Rezaee, R Fathi. A new design for automatic ball balancer to improve its performance. Mechanism and Machine Theory, 2015, 94: 165-176.
[5] W Zhang, M P Jia, L Zhu, et al. Comprehensive overview on computational intelligence techniques for machinery condition monitoring and fault diagnosis. Chinese Journal of Mechanical Engineering, 2017, 30(4): 782-795.
[6] A V Shchurova. Modeling of the turbine rotor journal restoration on horizontal balancing machines. Procedia Engineering, 2016, 150: 854-859.
[7] G F Bin, Y Huang, S P Guo, et al. Investigation of induced unbalance magnitude on dynamic characteristics of high-speed turbocharger with floating ring bearings. Chinese Journal of Mechanical Engineering, 2018, 31: 88, https://doi.org/10.1186/s10033-018-0287-5.
[8] L F Zhang, J Zha, C Zou, et al. A new method for field dynamic balancing of rigid motorized spindles based on real-time position data of CNC machine tools. The International Journal of Advanced Manufacturing Technology, 2019, 102(5): 1181-1191.
[9] D J Rodrigues, A R Champneys, M I Friswell, et al. Experimental investigation of a single-plane automatic balancing mechanism for a rigid rotor. Journal of Sound and Vibration, 2011, 330(3): 385-403.
[10] M F Zaeh, R Kleinwort, P Fagerer, et al. Automatic tuning of active vibration control systems using inertial actuators. CIRP Annals-Manufacturing Technology, 2017, 66: 365-368.
[11] K Zhang, C Y Zhang, L X Zhang, et al. Characteristic analysis and experiment of electromagnetic slip ring type on-line dynamic balancing system. Journal of Vibration, Measurement & Diagnosis, 2018, 38(1): 34-38.
[12] D Jung, H DeSmidt. A new hybrid observer based rotor imbalance vibration control via passive auto balancer and active bearing actuation. Journal of Sound and Vibration, 2018, 415: 1-24.
[13] B B Muhammad, M Wan, Y Liu, et al. Active damping of milling vibration using operational amplifier circuit. Chinese Journal of Mechanical Engineering, 2018, 31: 90, https://doi.org/10.1186/s10033-018-0291-9.
[14] X Pan, H Q Wu, J J Gao, et al. New liquid transfer active balancing system using compressed air for grinding machine. Journal of Vibration and Acoustics-Transactions of the ASME, 2015, 137(1): 011002.
[15] B Hredzak, G X Guo. New electromechanical balancing device for active imbalance compensation. Journal of Sound and Vibration, 2006, 294(4): 737-751.
[16] M A Langthjem, T Nakamurab. Highly nonlinear liquid surface waves in the dynamics of the fluid balancer. ScienceDirect, 2016, 19(4): 110-117.
[17] L U Soto, M L Parra, F C Jimenez. Improved design of a bladed hydraulic balance ring. Journal of Sound and Vibration, 2014, 333(3): 669-682.
[18] X N Zhang, X Liu, H Zhao. New active online balancing method for grinding wheel using liquid injection and free dripping. Journal of Vibration and Acoustics-Transactions of the ASME, 2018, 140: 031001.
[19] H Gao, L X Xu. Real-time feed-forward force compensation for active magnetic bearings system based on H infinity controller. Chinese Journal of Mechanical Engineering, 2011, 24(1): 58-66.
[20] W M Wang, J J Gao, L Q Huang, et al. Experimental investigation on vibration control of rotor-bearing system with active magnetic exciter. Chinese Journal of Mechanical Engineering, 2011, 24(6): 1013-1021.
[21] S L Ma, S Y Pei, L Wang, et al. A novel active online electromagnetic balancing method—Principle and structure analysis. Journal of Vibration and Acoustics, Transactions of the ASME, 2012, 134(3): 034503.
[22] H Gao, L X Xu, Y L Zhu. Unbalance vibratory displacement compensation for active magnetic bearings. Chinese Journal of Mechanical Engineering, 2013, 26(1): 95-103.
[23] J S Kim, S H Lee. The stability of active balancing control using influence coefficients for a variable rotor system. The International Journal of Advanced Manufacturing Technology, 2003, 22(7): 562-567.
[24] J D Moon, B S Kim, S H Lee. Development of the active balancing device for high-speed spindle system using influence coefficients. International Journal of Machine Tools & Manufacture, 2006, 46(9): 978-987.
[25] H W Fan, M Q Jing, R C Wang, et al. New electromagnetic ring balancer for active imbalance compensation of rotating machinery. Journal of Sound and Vibration, 2014, 333(17): 3837-3858.
[26] Y Li, W M Wang, S X Li, et al. Vertical cantilever rotor machines vibration self-recovery regulation system with continuously dripping liquid-injection automatic balance device. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(3): 303-306. (in Chinese)
[27] Y Zhang, X S Mei, Z B Hu, et al. Design and performance analysis of hydrojet-typed balancing device for high-speed machine tool spindle. Journal of Xi'an Jiaotong University, 2013, 47(3): 13-17, 23. (in Chinese)
[28] O Enginoglu, H Ozturk. Proposal for a new mass distribution control system and its simulation for vibration reduction on rotating machinery. Journal of Sound and Vibration, 2016, 385: 1-15.
[29] X X Yu, K M Mao, S Lei, et al. A new adaptive proportional-integral control strategy for rotor active balancing systems during acceleration. Mechanism and Machine Theory, 2019, 136: 105-121.
[30] X Pan, X T He, K Z Wei, et al. Performance analysis and experimental research of electromagnetic-ring active balancing actuator for hollow rotors of machine tool spindles. Applied Sciences-Basel, 2019, 9(4): 692.
Options
Outlines

/

〈 〉

　 Copyright © Chinese Journal of Mechanical Engineering, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd,.