Performance prediction of assembly based on dynamic alignment

被引：1

作者：

Wan Fei ^{[1
]}

Li Guo-xi ^{[1
]}

Rao Zhihua ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China

来源：

FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE III, PTS 1 AND 2 | 2013年 / 271-272卷

关键词：

dynamic alignment; parameters mapping; computational experiment; process optimization;

D O I：

10.4028/www.scientific.net/AMM.271-272.657

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To change the status of time-consuming and over-reliance on technicians in mechanical system alignment process, performance prediction based on dynamic alignment was proposed. The mapping relationship between alignment process parameters and machine dynamic characteristics was established. A large number of computational experiments are implemented by adjusting the value of process parameters in order to learn and anticipate experimental data and also find out the rules of process parameters on machine dynamic characteristics. The method can optimize the alignment process, guide technician alignment, modify the theory mapping, and improve the alignment efficiency.

引用

页码：657 / 662

页数：6

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