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  Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts
 
 
Title: Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts
Author: Kanchi, Sai Prasad
Sundari, S.
Rao, Ch. V. S. Parameswara
Raju, S.
Appeared in: Journal of materials engineering and performance
Paging: Volume 34 () nr. 7 pages 6274-6283
Year: 2024-05-28
Contents:
Publisher: Springer US, New York
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 77 found articles
 
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