Application of Response Surface Methodology and Machine Learning Approaches to Predict Porosity and Compression Strength of Selective Laser-Sintered Polyamide-12 Scaffold Parts
Journal of Materials Engineering and Performance（2024）
Key words
compression strength,machine learning,porosity,response surface methodology,selective laser sintering,thermoplastic polymer
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined