Predicting the optimal input parameters for the desired print quality using machine learning

HIGHLIGHTS

• who: Rajalakshmi Ratnavel and colleagues from the School of Computer Science Engineering, Vellore Institute of Technology, Chennai, India have published the Article: Predicting the Optimal Input Parameters for the Desired Print Quality Using Machine Learning, in the Journal: Micromachines 2022, 13, x FOR PEER REVIEW of /2022/
• what: This paper proposes a study using machine learning to identify the optimal process parameters such as infill structure and density material (ABS PLA Nylon PVA and PETG) wall and layer thickness count and temperature.
• how: This paper presents a novel machine-learning algorithm that predicts . . .
  

   

  

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