Evaluating evolutionary algorithms on spot welding sequence optimization with respect to geometrical variation
Paper i proceeding, 2018

Spot welding is the prevalent joining process in the automotive industry. The spot welding sequence has a notable effect on the geometrical variation of the final assembly. Finding the optimal weld sequence for geometrical quality is a fast growing and NP-complete problem. Using exhaustive search for this purpose can be a time-consuming task. In this paper, genetic, particle swarm and ant colony optimization algorithms are applied to three industrial reference cases. The performance of these algorithms for finding the optimal sequence with respect to geometrical variation is compared considering the number of function evaluations.

Joining

Geometrical variation

Tolerancing

Författare

Roham Sadeghi Tabar

Chalmers, Industri- och materialvetenskap, Produktutveckling

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Procedia CIRP

2212-8271 (ISSN)

Vol. 75 421-426

15th CIRP Conference on Computer Aided Tolerancing – CIRP CAT 2018
Milan, Italy,

Smart Assembly 4.0

Stiftelsen för Strategisk forskning (SSF), 2016-05-01 -- 2021-06-30.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Reglerteknik

Datavetenskap (datalogi)

Styrkeområden

Produktion

DOI

10.1016/j.procir.2018.04.061

Mer information

Senast uppdaterat

2019-10-15