A Machine Learning Method for Predicting Part Weight, Dimensions, and Residual Stress during Injection Molding
Author:
Affiliation:
1. National Kaohsiung University of Science and Technology,Dept. of Mechatronics Engineering,Kaohsiung,Taiwan
2. National Taiwan Normal University,Dept. of Mechatronics Engineering,Taipei,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9997567/9997506/09997777.pdf?arnumber=9997777
Reference11 articles.
1. Quality Classification of Injection-Molded Components by Using Quality Indices, Grading, and Machine Learning
2. Quality Prediction for Injection Molding by Using a Multilayer Perceptron Neural Network
3. Determination of process parameters based on cavity pressure characteristics to enhance quality uniformity in injection molding
4. A machine learning approach to quality monitoring of injection molding process using regression models
5. Neural network feature and architecture optimization for injection molding surface defect prediction of model polypropylene
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