Deep learning to directly predict compensation values of thermally induced volumetric errors

HIGHLIGHTS

• who: Huy Vu Ngoc et al. from the Montru00e9al, QC H C , Canada have published the article: Deep Learning to Directly Predict Compensation Values of Thermally Induced Volumetric Errors, in the Journal: Machines 2023, 496 of /2023/
• what: The heat This study has several limitations that should be taken into account. In this study, an approach using SLSTM/SGRU for directly predicting thermally induced volumetric errors without the use of a kinematic model with geometric error parameters was proposed.
• future: Future work can focus on exploring the heat sources associated with the activities . . .
  

   

  

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