机械工程学报 >

2016 , Vol. 52 >Issue 11: 161 - 169

DOI: https://doi.org/10.3901/JME.2016.11.161

数字化设计与制造

柔性材料加工变形影响因素提取层次分析方法

  • 邓耀华 ,
  • 陈嘉源 ,
  • 刘夏丽 ,
  • 张巧芬 ,
  • 陈思成 ,
  • 吴黎明
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  • 广东工业大学机电工程学院 广州 510006
邓耀华,男,1978年出生,博士,副教授,硕士研究生导师,美国密西根大学“吴贤铭”制造研究中心博士后高级研究员。主要研究方向为机械加工过程检测与控制、智能制造。E-mail：dengyaohua@gdut.edu.cn;陈嘉源(通信作者),男,1991年出生,硕士研究生。主要研究方向为数据挖掘、人工智能。E-mail：chenjiayuan2014@163.com;刘夏丽,女,1992年出生,硕士研究生。主要研究方向为模式识别、智能控制。E-mail：lxlnzb@126.com

网络出版日期: 2016-06-05

基金资助

国家自然科学基金(51205069)、广东省科技计划(2014A010104012,2015B090901009)、2014年广东省联合培养研究生示范基地-佛山市南海区瀚天科技城研究生联合培养基地和佛山市科技创新团队(2015IT100102)资助项目

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Study of Deformation Factors Extracting on Flexible Material Machining by Analytical Hierarchy Process

  • DENG Yaohua ,
  • CHEN Jiayuan ,
  • LIU Xiali ,
  • ZHANG Qiaofen ,
  • CHEN Sicheng ,
  • WU Liming
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  • School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006

Online published: 2016-06-05

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摘要

加工变形影响因素约简是柔性材料加工变形补偿控制预测建模的首要问题,但是由于柔性材料的特性及加工特点,造成加工过程变形影响因素既多又相互重叠、关联。考虑到信息决策领域的层次分析方法具有仅利用较少的定量信息就能计算出各个因素对系统的影响程度大小的优点,将层次分析法用于柔性材料加工变形影响因素的提取,构建由加工变形影响因素重要度、加工属性、各个加工变形影响因素分别作为目标层、准则层、指标层的加工变形影响因素提取层次分析模型;推导了加工变形影响因素提取属性P对目标层的影响程度矢量Wp的计算公式,并以Wp作为提取的评价指标,制订提取算法计算流程,开展提取模型的效果试验。试验表明,由层次分析法提取得到的重要度最高影响因素,与Pawlak方法、信息熵方法提取的影响因素一致,经层次分析方法提取的模型预测误差,比Pawlak方法、信息熵方法的分别小了13.76%、9.43%,证明了层次分析法能更有效性和方便获得精简、准确度高的加工变形影响因素集。

关键词： 柔性材料加工; 变形影响因素提取; 层次分析法; 影响程度矢量

本文引用格式

邓耀华 , 陈嘉源 , 刘夏丽 , 张巧芬 , 陈思成 , 吴黎明 . 柔性材料加工变形影响因素提取层次分析方法[J]. 机械工程学报, 2016 , 52(11) : 161 -169 . DOI: 10.3901/JME.2016.11.161

Abstract

Deformation factors reduction is the priority problem for the compensation control predictive modeling of flexible material machining, however, for the reasons of self-properties and machining characteristics of flexible material, it causes deformation factor increasing, and those factors are interrelated and overlapped simultaneously. Considering analytic hierarchy process which belongs to information decision field, has the advantage of calculating impact of various factors in decision system by using limited quantitative information. The analytic hierarchy process is introduced and to be used in the study of deformation factors extracting of flexible material machining, according to it, the machining deformation factors extraction model is constructed, the model includes target layer, criterion layer and index layer which correspond to deformation factor significance, machining properties and deformation factors. Computational formula between extraction attribute P of machining deformation factors is deduced, and take influence degree vector Wp as evaluating indicator to establish calculation programmer of extraction algorithm, finally, experiments are carried. Experimental tests show that the factor set extracted by analytic hierarchy process is similar to theses method of Pawlak and information entropy. The prediction error by hierarchical analysis process is 13.76% and 9.43%s decreased comparing to Pawlak and information entropy, which proved that the analytic hierarchy process can effectively and expediently extract the machining deformation factors set.

Key words： flexible materials processing; deformation factors extract; analytic hierarchy process; compensation prediction

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