On characterisation of local stress-strain properties in friction stir welded aluminium AA 5083 sheets using micro-tensile specimen testing and instrumented indentation technique

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

卷:527

Article

Rao, D.¹  Heerens, J.¹  Pinheiro, G. Alves¹  dos Santos, J. F.¹  Huber, N.¹ 

[1] GKSS Res Ctr GmbH, Inst Mat Res, D-21502 Geesthacht, Germany

关键词: Stress-strain properties;    Weld joints;    Hardness;    Artificial neural network;    Residual stress;   

DOI  :  10.1016/j.msea.2010.04.047

来源: Elsevier

【 摘 要 】

Stress-strain property variations in welded joints are frequently characterized by determining local stress-strain curves across the joint. A commonly and widely accepted method is testing of micro-tensile specimens where the specimens have to be mechanically extracted form the joint and subsequently tested and analysed similar to that of a conventional tensile tests. A recently developed procedure for the determination of local stress-strain properties is based on instrumented indentation testing where the force-depth curves are analysed via artificial neural networks in order to derive local stress-strain curves. In order to verify this new method on welded joints, this method has been applied to a friction stir weld in 3 mm thick aluminium AA 5083 sheet material. It turned out that the local stress-strain curves derived by instrumented indentation tests and neural networks are compatible with that obtained from micro-tensile testing. Further on, the article gives advises on a proper tests specimen preparation as well as on the treatment of possible residual stresses. (C) 2010 Elsevier B.V. All rights reserved.

【 授权许可】

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