Glass-box modeling for quality assessment of resistance spot welding joints in industrial applications
نویسندگان
چکیده
Abstract Resistance spot welding (RSW) is one of the most relevant industrial processes in different sectors. Key issues RSW are process control and ex-ante ex-post evaluation quality level joints. Multiple-input–single-output methods commonly used to create predictive models from parameters. However, until now, choice a particular model has typically involved tradeoff between accuracy interpretability. In this work, such dichotomy overcome by using explainable boosting machine algorithm, which obtains levels both classification prediction welded joint tensile shear load bearing capacity statistically as good or even better than best algorithms literature, while maintaining high These characteristics allow (i) simple diagnosis overall behavior process, and, for each individual prediction, (ii) attribution variables—and/or their potential interactions—of result obtained. distinctive have important implications optimization processes, establishing reference modeling.
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ژورنال
عنوان ژورنال: The International Journal of Advanced Manufacturing Technology
سال: 2022
ISSN: ['1433-3015', '0268-3768']
DOI: https://doi.org/10.1007/s00170-022-10444-4