Fixture layout optimisation based on a non-domination sorting social radiation algorithm for auto-body parts

2015 ◽  
Vol 53 (11) ◽  
pp. 3475-3490 ◽  
Author(s):  
Yanfeng Xing ◽  
Min Hu ◽  
He Zeng ◽  
Yansong Wang
Keyword(s):  
Body Parts ◽  
Fixture Layout ◽  
Auto Body

Numerical Simulation and Experimental Method for Auto-Panel Forming Defects Analysis

2008 ◽  
Vol 575-578 ◽  
pp. 169-173
Author(s):  
Hui Yu Xiang ◽  
Chong Jie Leng ◽  
Yue Xian Zhong
Keyword(s):  
Numerical Method ◽  
Experimental Method ◽  
Strain Distribution ◽  
Grid Method ◽  
Practical Case ◽  
Body Parts ◽  
Forming Process ◽  
Auto Body ◽  
As Stress ◽  
Forming Defects

This paper investigated the forming defects causation and related resolving measures by combining numerical method with experimental technique. A practical case of one auto-body panel stamped parts with forming defects was studied in detail. A new approach determining the causation of forming defects and finding out resolving ways was proposed. Firstly, uses numerical method to analyze the characteristics of the whole forming process by dividing the forming process into virtual steps, so as to obtain the forming feature such as stress & strain distribution during the stamping process. Secondly, uses experimental grid method to measure the real plastic strain distribution of the defective area thus to analyze the forming rule of this area. By synthesizing both methods and carrying out extensive analysis, it is possible to make sure the cause of the defects and put out solving scheme further. The study shows that numerical combined with experimental method is an effective way in analyzing and resolving forming defects for auto-body parts.

A new assembly variation analysis model based on the method of power balance for auto-body parts

2014 ◽  
Vol 34 (3) ◽  
pp. 296-302 ◽  
Author(s):  
Yanfeng Xing ◽  
Yansong Wang
Keyword(s):  
Sheet Metal ◽  
Power Balance ◽  
Influence Coefficient ◽  
Body Parts ◽  
Variation Analysis ◽  
Analysis Model ◽  
Content Type ◽  
Metal Parts ◽  
Sheet Metal Parts ◽  
Auto Body

Purpose – The purpose of this paper is to propose a new assembly variation analysis model to analyze assembly variation for sheet metal parts. The main focus is to analyze assembly processes based on the method of power balance. Design/methodology/approach – Starting with issues in assembly variation analysis, the review shows the critical aspects of tolerance analysis. The method of influence coefficient (MIC) cannot accurately analyze the relationship between part variations and assembly variations, as the welding point is not a point but a small area. Therefore, new sensitivity matrices are generated based on the method of power balance. Findings – Here two cases illustrate the processes of assembly variation analysis, and the results indicate that new method has higher accuracy than the MIC. Research limitations/implications – This study is limited to assembly variation analysis for sheet metal parts, which can be used in auto-body and airplane body. Originality/value – This paper provides a new assembly variation analysis based on the method of power balance.

Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm

2019 ◽  
Vol 234 (6) ◽  
pp. 1137-1145
Author(s):  
Milad Khodabandeh ◽  
Maryam Ghassabzadeh Saryazdi ◽  
Abdolreza Ohadi
Keyword(s):  
Ant Colony Algorithm ◽  
Pareto Frontier ◽  
Optimization Method ◽  
Layout Optimization ◽  
Ant Colony ◽  
Car Industry ◽  
Multi Objective ◽  
Fixture Layout ◽  
Fixture Layout Optimization ◽  
Auto Body

Fixtures are extensively used in many industries such as the car industry, to locate and constrain the sheet part during the assembly stage. Fixture layout affects on deformation of sheet parts. Therefore, fixture layout optimization is crucial to the accuracy and quality of products. In addition, the number of clamps that uses in the fixture is another important factor that must be considered in fixture design. This article presents a novel fixture layout optimization method by combining multi-objective ant colony algorithm (M-ACO) and the finite element method. The proposed method optimizes the fixture layout and the number of clamps simultaneously as a multi-objective problem. An approximation of Pareto frontier is acquired by the proposed method. The fixture layout for the side reinforcement of a car is optimized using the proposed method. The results show that the proposed approach performs effectively to optimize the auto-body fixture layout.

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