Accurate estimation of tensile strength of 3d printed parts using machine learning algorithms

HIGHLIGHTS

• who: Murugan Jayasudha and collaborators from the DrSagunthala RandD Institute of Science and Technology, Chennai, India University of Ostrava, Listopadu, Ostrava, Czech Republic have published the paper: Accurate Estimation of Tensile Strength of 3D Printed Parts Using Machine Learning Algorithms, in the : Processes 2022, 10, 1158. of /2022/
• what: This study compares the effectiveness of the following five predictive models (i.e. machine learning algorithms) used to estimate the tensile strength of 3D printed objects: linear regression random forest regression AdaBoost regression gradient boosting regression and_(5) XGBoost regression. A description of each model and . . .
  

   

  

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