Combining selective assembly and individualized locator adjustments techniques in a smart assembly line
Artikel i vetenskaplig tidskrift, 2020

The availability of automated production lines and production data has opened a new opportunity for improving the geometrical quality of assemblies by using a digital twin in the concept of a smart assembly line. In this concept, a digital twin is generated from scanned data of incoming parts for each assembly. The assembly process is then simulated for the digital twin using variation simulation tools. Subsequently, the optimal production parameters are found by utilizing optimization algorithms along with the simulations so that the geometrical qualities of assemblies are maximum. Two effective production parameters that can be optimized in this concept are the combination of parts and adjustments of locators. The techniques to implement optimize these parameters in the production are referred to as selective assembly and individualized locator adjustments, respectively. This paper evaluates the results of optimizing each parameter separately and both parameters together. To attain this goal, the results of applying the optimal parameters on three industrial cases are determined and compared. The results evidence that the potential of individualized locator adjustment in improving geometrical quality is considerably greater than selective assembly.

Digital Twin

Selective Assembly

Locator adjustments

Smart Assembly

Författare

Abolfazl Rezaei Aderiani

Chalmers, Industri- och materialvetenskap, Produktutveckling

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Procedia CIRP

22128271 (ISSN)

Vol. 97 429-434

Smart Assembly 4.0

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

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Bearbetnings-, yt- och fogningsteknik

Övrig annan teknik

Styrkeområden

Produktion

DOI

10.1016/j.procir.2020.05.263

Mer information

Senast uppdaterat

2021-02-17