Optimisation of Robotised Sealing Stations in Paint Shops by Process Simulation and Automatic Path Planning
Artikel i vetenskaplig tidskrift, 2014

Application of sealing materials is done in order to prevent water leakage into cavities of the car body, and to reduce noise. The complexity of the sealing spray process is characterised by multi-phase and free surface flows, multi-scale phenomena, and large moving geometries, which poses great challenges for mathematical modelling and simulation. The aim of this paper is to present a novel framework that includes detailed process simulation and automatic generation of collision free robot paths. To verify the simulations, the resulting width, thickness and shape of applied material on test plates as a function of time and spraying distance have been compared to experiments. The agreement is in general very good. The efficient implementation makes it possible to simulate application of one meter of sealing material in less than an hour on a standard computer, and it is therefore feasible to include such detailed simulations in the production preparation process and off-line programming of the sealing robots.

off-line programming

OLP

VOF

CFD

process simulation

immersed boundary methods

automatic path planning

computational fluid dynamics

optimisation

sealing spray

volume of fluids

Författare

Andreas Mark

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Robert Bohlin

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Daniel Segerdahl

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Fredrik Edelvik

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Johan Carlson

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

International Journal of Manufacturing Research

1750-0591 (ISSN) 1750-0605 (eISSN)

Vol. 9 1 4-26

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Beräkningsmatematik

Geometri

Strömningsmekanik och akustik

Styrkeområden

Produktion

DOI

10.1504/IJMR.2014.059597

Mer information

Senast uppdaterat

2021-10-18