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Process Simulation and Automatic Path Planning of Adhesive Joining
Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Sweden.
Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Sweden.
Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Sweden.
Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Sweden.
Visa övriga samt affilieringar
2016 (Engelska)Ingår i: Procedia CIRP, Elsevier B.V. , 2016, s. 298-303Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Adhesive joining is frequently used in the automotive industry. In the pursuit of reducing weight, adhesive joining is important due to the possibility of joining different types of materials. The process is often automatised in order to reduce cycle time. In this paper we aim to present a novel framework that includes detailed process simulation and automatic generation of collision free robot paths and in this way improve the quality of the joint and reduce both cycle time and processing time. To verify the simulations, the properties of the adhesive bead have been compared to experiments with good agreement. © 2016 The Authors.

Ort, förlag, år, upplaga, sidor
Elsevier B.V. , 2016. s. 298-303
Nyckelord [en]
automatic path planning, computational fluid dynamics, immersed boundary method, process simulation, rheology, VOF, volume of fluid, Automotive industry, Joining, Turbulent flow, Adhesive joining, Automatic Generation, Collision-free, Immersed boundary methods, Process simulations, Processing time, Robot path, Volume of fluids, Motion planning
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Naturvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-42191DOI: 10.1016/j.procir.2016.02.113Scopus ID: 2-s2.0-84994159019OAI: oai:DiVA.org:ri-42191DiVA, id: diva2:1384151
Konferens
6th CIRP Conference on Assembly Technologies and Systems, CATS 2016, 16 May 2016 through 18 May 2016
Anmärkning

Funding details: VINNOVA; Funding text 1: This work was supported in part by the Swedish Governmental Agency for Innovation Systems, VINNOVA, through the FFI Sustainable Production Technology program, and in part by the Sustainable Production Initiative and the Production Area of Advance at Chalmers. The test geometries and experimental data were provided by Volvo Car Corporation and Swerea IVF respectively. The support is gratefully acknowledged.

Tillgänglig från: 2020-01-09 Skapad: 2020-01-09 Senast uppdaterad: 2020-12-01Bibliografiskt granskad

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