Identification of plastic properties of metallic structures by artificial neural networks based on plane strain small punch test

Mohammad Ehsan Hassani () and Wenke Pan ()
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Mohammad Ehsan Hassani: Petro State Co
Wenke Pan: Siemens Industrial Turbomachinery Ltd

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 3, No 13, 646-654

Abstract: Abstract In order to assess the strength of aged and in service components, small punch test (SPT) has emerged. However, it has two disadvantages, firstly using of the hemispherical punch which is difficult to manufacture in most conventional workshops and secondly the known difficulties in obtaining the flat disk samples. This paper discusses a novel approach, the plane strain small punch test to identify the plastic properties of metallic structures. To do so, a new apparatus was designed and manufactured to perform a series of plane strain SPT in room temperature. An artificial neural network was established and trained by the corresponding load displacement responses obtained from the simulations to predict the plastic properties of Stainless Steel 304L.

Keywords: Plane strain SPT; Stainless steel; Artificial neural network; Plastic properties (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-017-0617-5

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