2023
DOI: 10.2207/qjjws.41.18
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FEM analysis of cross tension test (CTS) that allows slips between jig and test piece

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“…Naturally, correlations get better and better, the narrower the sheet thickness and material range e.g., Rajarajan et al [33] predicted very accurately the STS, CTS, HV nugget values of RSWed DP800 steel sheets. Good estimations can be made with numerical [34][35][36][37][38] and finite element (FEM) simulations [39][40][41][42][43], machine learning [44], and artificial neural networks [45][46][47][48]. These methods can be a very useful and accurate tools to optimize and predict weld properties (STS and CTS as well), but they are primarily applicable to a specific narrow application area, not to a wide range of material strength classes and combinations.…”
Section: Other Possibilities Of Strength Predictionmentioning
confidence: 99%
“…Naturally, correlations get better and better, the narrower the sheet thickness and material range e.g., Rajarajan et al [33] predicted very accurately the STS, CTS, HV nugget values of RSWed DP800 steel sheets. Good estimations can be made with numerical [34][35][36][37][38] and finite element (FEM) simulations [39][40][41][42][43], machine learning [44], and artificial neural networks [45][46][47][48]. These methods can be a very useful and accurate tools to optimize and predict weld properties (STS and CTS as well), but they are primarily applicable to a specific narrow application area, not to a wide range of material strength classes and combinations.…”
Section: Other Possibilities Of Strength Predictionmentioning
confidence: 99%