Abstract
In any industrial assembly process there are a number of sources of variation. Variation in the manufacturing process leads to component variation which, together with fixture variation and variation stemming from the joining process, propagates to the final product. In order to analyse and diminish the effect of variation it is important to identify and be able to simulate the phenomena contributing to final variation. In this paper the focus is variation in welding distortion arising from non-nominal components that are joined. In the welding process it has been shown that variation in components and in fixtures influences the size and distribution of weld-induced distortion. Hence, in order to accurately simulate geometric variation of an assembly joined by weld joints, variation simulation and welding simulation need to be performed in combination. Previous research that focused on the combination of variation simulation and welding simulation has not considered components that are clamped. Instead the components were treated as rigid bodies at non-nominal positions prior to welding. In many industrial applications, clamps are used when assemblies are welded, and it is therefore important to quantify the influence that clamping has on welding of non-nominal components. In this paper we simulate the combination of variation in components and fixtures with welding, considering that the components are clamped prior to welding. Although clamps will force the components closer to their nominal positions along the weld joint, clamps introduce a stress field in the structure which together with the welding process may cause additional distortion. Two case studies are performed and analysed: a T-weld joint and a butt-weld joint. The results show that welding distortion depends on fixture error also in the presence of clamps.
Acknowledgement
This work is part of the ProViking project Variation Simulation for Light Weight Assemblies, financed by Swedish Foundation for Strategic Research carried out as a component of the Wingquist Laboratory VINN Excellence Centre research program and Chalmers Production Area of Advance. The support is greatly acknowledged.
Authors and Affiliations
- S. Lorin, Department of Product and Production Development, Chalmers university of technology.
- C. Cromvik, Fraunhofer-Chalmers Centre for Industrial Mathematics.
- F. Edelvik, Fraunhofer-Chalmers Centre for Industrial Mathematics.
- R. Söderberg, Department of Product and Production Development, Chalmers university of technology.