Optimizing the wiring sequence based on a Constraint Satisfaction Problem for robot-based manufacturing of solderless wrapped connections

Hefner F, Schmidbauer S, Franke J (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Procedia CIRP Curran

Publisher: Elsevier B.V.

Book Volume: 112

Pages Range: 203-208

Conference Proceedings Title: Procedia CIRP

Event location: Naples IT

DOI: 10.1016/j.procir.2022.09.073

Abstract

The manufacturing of solderless wrapped connections in traceable and reproducible high quality requires an automated manufacturing process. However, one key challenge for robot-based wiring is the definition of wiring sequence, as the proximity of the array-oriented wrapposts exacerbates tool accessibility. In this research, we optimize the wiring sequence by treating it as a constraint satisfaction problem, whereby a solution is indispensable, even if the constraints are not fulfilled. Experiments on a pilot plant for robot-based manufacturing of wrapped connections show that the percentage of automatically wired connections can be significantly increased with the developed approach.

Authors with CRIS profile

Florian Hefner Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Simon Schmidbauer Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Hefner, F., Schmidbauer, S., & Franke, J. (2022). Optimizing the wiring sequence based on a Constraint Satisfaction Problem for robot-based manufacturing of solderless wrapped connections. In Roberto Teti, Doriana D'Addona (Eds.), Procedia CIRP (pp. 203-208). Naples, IT: Elsevier B.V..

MLA:

Hefner, Florian, Simon Schmidbauer, and Jörg Franke. "Optimizing the wiring sequence based on a Constraint Satisfaction Problem for robot-based manufacturing of solderless wrapped connections." Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021, Naples Ed. Roberto Teti, Doriana D'Addona, Elsevier B.V., 2022. 203-208.

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