A Novel Rule-Based Method For Individualized Spot Welding Sequence Optimization With Respect to Geometrical Quality

[+] Author and Article Information
Roham Sadeghi Tabar

Chalmers University of Technology SE-41296 Gothenburg, 41296 Sweden rohams@chalmers.se

Kristina Wärmefjord

Product and Production Development Göteborg, SE-41296 Sweden kristina.warmefjord@chalmers.se

Rikard Söderberg

Product and Production Development PU Göteborg, Vastra gotaland SE 41296 Sweden rikard.soderberg@chalmers.se

Lars Lindkvist

Dept. of Product and Production Development horsalsvagen 7 Göteborg, Vastra gotaland SE-41296 Sweden lali@chalmers.se

1Corresponding author.

Manuscript received March 26, 2019; final manuscript received June 26, 2019; published online xx xx, xxxx. Assoc. Editor: Wayne Cai.

ASME doi:10.1115/1.4044254 History: Received March 26, 2019; Accepted June 27, 2019


Spot welding is the predominant joining process for sheet metal assemblies. The assemblies, during this process, are mainly bent and deformed. These deformations along with single part variations are the main sources of aesthetic and functional geometrical problems in an assembly. The sequence of welding has a considerable effect on the geometrical variation of the final assembly. Finding the optimal weld sequence for geometrical quality can be categorized as a Hamiltonian graph search problem which is of combinatorial non-deterministic polynomial acceptable problems. Exhaustive search to find the optimum, using the FEM simulations in computer-aided tolerancing tools, is a time-consuming and thereby infeasible task. Applying the genetic algorithm to this problem can considerably reduce the search time but finding the global optimum is not guaranteed and still, a large number of sequences need to be evaluated. The effectiveness of these type of algorithms is dependent on the quality of the initial solutions. Previous studies have attempted to solve this problem by random initiation of the population in the genetic algorithm. In this paper, a rule-based approach for initiating the genetic algorithm for spot-weld sequencing is introduced. The optimization approach is applied to three automotive sheet metal assemblies for evaluation. The results show that the proposed method improves the computation time and effectiveness of the genetic algorithm.

Copyright © 2019 by ASME
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