The Method Used for Process Precision Prediction of Micro-assembly Based on Principle of Maximum Entropy

被引:0
|
作者
Zhang, Xiaofeng [1 ]
Zhang, Zhijing [1 ]
Sun, Yuan [1 ]
Ye, Xin [1 ]
Ye, Zhipeng [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
关键词
Micro-assembly; Submicron; Precision Prediction; Principle of Maximum Entropy;
D O I
10.4028/www.scientific.net/AMR.591-593.409
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper briefly introduces the principle of sub-micro precision micro-assembly system based on the micro force detection. The linear mapping of micro force-micro displacement can be obtained, which is in agreement with the experimental data. And the probability distribution density function of the fitted mapping coefficients can be derived by the principle of maximum entropy. Furthermore, the uncertainly of k is accessed. Hence, the reliability of micro force-micro displacement mapping in the assembly process is demonstrated. The experiment result shows that the assembly precision can be accurately predicted by the fitted micro force-micro displacement mapping.
引用
收藏
页码:409 / 413
页数:5
相关论文
共 50 条
  • [21] Automated micro-assembly of hydrogel modules based on Defocus feature
    Chen, Shaoqi
    Huang, Qiang
    Shi, Qing
    Wang, Huaping
    Sun, Tao
    Liu, Xiaoming
    Fukuda, Toshio
    2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 1229 - 1234
  • [22] A Novel Method for Predicting Network Traffic Based on Maximum Entropy Principle
    Wang, Jingyu
    Zhao, Yang
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2016, 9 (01): : 97 - 106
  • [23] Composition Vector Method Based on Maximum Entropy Principle for Sequence Comparison
    Chan, Raymond H.
    Chan, Tony H.
    Yeung, Hau Man
    Wang, Roger Wei
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2012, 9 (01) : 79 - 87
  • [24] Design and development of a vision-based micro-assembly system
    Jayaram, Kaushik
    Joshi, Suhas S.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2016, 230 (06) : 1164 - 1168
  • [25] Modeling of rotary friction welding process based on maximum entropy production principle
    Nan, Xujing
    Xiong, Jiangtao
    Jin, Feng
    Li, Xun
    Liao, Zhongxiang
    Zhang, Fusheng
    Li, Jinglong
    JOURNAL OF MANUFACTURING PROCESSES, 2019, 37 : 21 - 27
  • [26] A Comprehensive Micro-assembly Process Oriented Methodology Supporting the Realisation of Evolvable Micro Production Systems
    Hofmann, Andreas
    PROCEEDINGS OF THE 6TH CIRP-SPONSORED INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY, 2010, 66 : 823 - 839
  • [27] Digital twin synchronization method and system implementation for micro-assembly unit
    Huang J.
    Shi J.
    Yi Y.
    Xu H.
    Yan Y.
    Liu J.
    Liu X.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (02): : 412 - 422
  • [28] A maximum-entropy-based method for alarm flood prediction
    Xu, Yizhou
    Wang, Jiandong
    JOURNAL OF PROCESS CONTROL, 2021, 107 : 58 - 69
  • [29] UNCERTAINTY ANALYSIS METHOD BASED ON A COMBINATION OF THE MAXIMUM ENTROPY PRINCIPLE AND THE POINT ESTIMATION METHOD
    Zhang, Xiao-Ling
    Huang, Hong-Zhong
    Wang, Zhong-Lai
    Xiao, Ning-Cong
    Li, Yan-Feng
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2012, 14 (02): : 114 - 119
  • [30] A clustering algorithm based on maximum entropy principle
    Zhao, Yang
    Liu, Fangai
    2ND ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2017), 2017, 887