Optimal design of fixture layouts for compliant sheet metal assemblies
Artikel i vetenskaplig tidskrift, 2020

A preeminent factor in the geometrical quality of a compliant sheet metal assembly is the fixture layout that is utilized to perform the assembly procedure. Despite the presence of a great number of studies about the optimization of assembly fixture layouts, there is not a comprehensive algorithm to optimize all design parameters of fixture layouts for compliant sheet metal assemblies. These parameters are the location and type of hole and slot in each part, the slot orientation, and the number and location of additional clamps. This paper presents a novel optimization method that optimizes all these parameters simultaneously to maximize the geometrical quality of the assemblies. To attain this goal, compliant variation simulations of the assemblies are utilized along with evolutionary optimization algorithms. The assembly springback and contacts between parts are considered in the simulations. After determining the optimal design parameters, the optimal positions of locators are fine-tuned in another stage of optimization. Besides, a top-down design procedure is proposed for applying this method to multi-station compliant assemblies. The presented method is applied to two industrial sample cases from the automotive industry. The results evidence a significant improvement of geometrical quality by utilizing the determined fixture layout from the presented method compared with the original fixture layouts of the sample cases.

Compliant variation simulations

Sheet metal assemblies

Fixture layout optimization

Författare

Abolfazl Rezaei Aderiani

Chalmers, Industri- och materialvetenskap, Produktutveckling

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Lars Lindkvist

Chalmers, Industri- och materialvetenskap, Produktutveckling

Björn Lindau

Chalmers, Industri- och materialvetenskap, Produktutveckling

International Journal of Advanced Manufacturing Technology

0268-3768 (ISSN) 1433-3015 (eISSN)

Vol. 110 2181-2201

Smart Assembly 4.0

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

Ämneskategorier

Maskinteknik

Produktionsteknik, arbetsvetenskap och ergonomi

Bearbetnings-, yt- och fogningsteknik

DOI

10.1007/s00170-020-05954-y

Mer information

Senast uppdaterat

2020-09-24