Prediction of Wall Thickness Parameters in TPMS Models Based on CNN-SVM and MLR

Read full text
Authors: Qian Zhang, Lei Fu, Renzhou Chen, Xu Zhan
Cited by: 0
References: 14

Abstract

Triply periodic minimal surface (TPMS) structures are widely utilized in engineering and biomedical fields owing to their superior mechanical and functional properties. However, limited by the current additive manufacturing (... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Machine Learning in Materials Science Cellular and Composite Structures Neural Networks and Applications

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN