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Experimental measurements and numerical simulations of distortions of overlap laser-welded thin sheet steel beam structures
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. KTH, Centres, XPRES, Excellence in production research.ORCID iD: 0000-0002-9849-1754
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.).
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. KTH, Centres, XPRES, Excellence in production research. (Swerea KIMAB, Stockholm, Sweden)ORCID iD: 0000-0002-6061-662X
2017 (English)In: Welding in the World, ISSN 0043-2288, E-ISSN 1878-6669, Vol. 61, no 5, p. 927-934Article in journal (Refereed) Published
Abstract [en]

Distortions of mild steel structures caused by laser welding were analyzed. One thousand-millimeter U-beam structures were welded as overlap joints with different process parameters and thickness configurations. Final vertical and transverse distortions after cooling were measured along the U-beam. Significant factors, which affect distortions, were identified. Heat input per unit length, weld length, and sheet thickness showed a significant effect on welding distortions. Furthermore, the welding distortions were modeled using FE simulations. A simplified and computationally efficient simulation method was used. It describes the effect of shrinkage of the weld zone during cooling. The simulations show reasonable computation times and good agreement with experiments.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2017. Vol. 61, no 5, p. 927-934
Keywords [en]
Laser beam welding, Distortions, FE simulation, Volume shrinkage method, Mild steel
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-215469DOI: 10.1007/s40194-017-0496-zISI: 000411060800006Scopus ID: 2-s2.0-85027870009OAI: oai:DiVA.org:kth-215469DiVA, id: diva2:1149841
Note

QC 20171017

Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2017-11-13Bibliographically approved
In thesis
1. Digital process planning of joining by numerical models in the automotive industry
Open this publication in new window or tab >>Digital process planning of joining by numerical models in the automotive industry
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The automotive industry is striving towards reduction of greenhouse gas emission by reducing product weight and improving fuel efficiency of their products. The introduction of lightweight materials have imposed greater pressure not only on the product development but also on manufacturing systems. One integral aspect of manufacturing systems, which is meeting these challenges is joining technology. In order to achieve successful joining of new automotive products, joining process planning must be equally successful.This research aims at improving process planning of joining by introducing digital tools into the process planning work method. The digital tools are designed to reduce lead times and increase accuracy of the process planning to realize more advanced, complex and environmentally friendly product solutions in the vehicles of the future.The research has two main focuses. Firstly, the joining process planning structure and organization have been analysed. The analysis has identified specific instances where digital tools can be introduced to improve the process planning and make it more efficient. Digital tools, such as numerical models for prediction and databases for re-use of knowledge, have been suggested for the process planning. An assessment of the impact of the introduction of these tools in an industrial test case has been performed to show the possible reduction in lead times.Secondly, geometrical distortions due to laser beam welding have been investigated, both by experimental trials and numerical modelling. The influences of design and process parameters on the distribution and magnitude of geometrical distortions have been established. Numerical models of different modelling detail and complexity have been developed and evaluated in order to find modelling approaches with reduced computation times aimed at industrial implementation. The predictive accuracy and computational efficiency of the numerical models have been assessed and evaluated with regard to industrial implementation.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. p. 79
Series
TRITA-IIP, ISSN 1650-1888 ; 2017:9
National Category
Engineering and Technology
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-217360 (URN)978-91-7729-536-5 (ISBN)
Public defence
2017-12-15, M311, Brinellvägen 68 KTH-Campus, Stockholm, 10:00 (English)
Supervisors
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-10 Last updated: 2017-11-28Bibliographically approved

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Andersson, OscarMelander, Arne

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Production EngineeringXPRES, Excellence in production researchSolid Mechanics (Dept.)
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Metallurgy and Metallic Materials

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