Prediction of weld-line width and sink-mark depth of plastic injection moulded parts using neural networks-Reference-Cited by-同舟云学术

Prediction of weld-line width and sink-mark depth of plastic injection moulded parts using neural networks

Published:2023-03 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Paturi Uma Maheshwera Reddy,Kolluru Sai Krishna Prashanth,Kalvakolanu S.D.S. Abhiram

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

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1. Novel Life Prediction Method of PMMA for Cultural Relics Protection Based on the BP Neural Network;ACS Omega;2023-12-08

2. Weld‐lines and its strength evaluation in injection molded parts: A review;Polymer Engineering & Science;2023-08-31

3. Weight Optimization of Plastic Injection Moulded Electrical Wire Casing Thermoplastic using Hybrid RSM-Tunicate Swarm Algorithm;E3S Web of Conferences;2023