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2019
DOI: 10.1504/ijcmsse.2019.102292
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Comparison of RSM and ANN model in the prediction of the tensile shear failure load of spot welded AISI 304/316 L dissimilar sheets

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Cited by 14 publications
(7 citation statements)
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“…At present, the industries are aiming to minimize the cost together weight with a compromise between of high performance and safety. The welding process was achieved by an enormous electric current flow through touching the sheet metals to heat up and compose a molten nugget [3][4][5] . Regularly, the steel body of the vehicle usually contains about 5,000 spot welds to join sheets of various thickness, and the spot welds quality dramatically influence the reliability and safety of an automotive structure 6,7 .…”
Section: Introductionmentioning
confidence: 99%
“…At present, the industries are aiming to minimize the cost together weight with a compromise between of high performance and safety. The welding process was achieved by an enormous electric current flow through touching the sheet metals to heat up and compose a molten nugget [3][4][5] . Regularly, the steel body of the vehicle usually contains about 5,000 spot welds to join sheets of various thickness, and the spot welds quality dramatically influence the reliability and safety of an automotive structure 6,7 .…”
Section: Introductionmentioning
confidence: 99%
“…For establishing a relation between the explanatory variables and target variables, both machine learning models such as artificial neural networks and low-order polynomials have been used by the research community to create or fit a response surface to the available data. Data have been usually collected by some kind of design-of-experiments methods such as factorial, central composite, or Taguchi's designs [67].…”
Section: Process Optimization-open Loop Methodsmentioning
confidence: 99%
“…Design expert software is used for experimental design of RSM based on central composite design as well as statistical analysis [18]. In the present work, peening pressure and peening distance from specimen to nozzle are the two factors considered for analysis.…”
Section: Design Matrixmentioning
confidence: 99%