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The digitization of manufacturing processes has led to an increase in the availability of process data, which has enabled the use of data-driven models to predict the outcomes of these manufacturing processes. Data-driven models are instantaneous in simulate and can provide real-time predictions but lack any governing physics within their framework. When process data deviates from original conditions, the predictions from these models may not agree with physical boundaries. In such cases, thedoi:10.3390/pr9050737 doaj:cf82c714bcdc408ebd5b092e11c7debe fatcat:nt2bn7o4gnhhnpjuso7k6hemoe