Integration of Artificial Neural Network and Taguchi Method for Prediction and Minimisation of Thick-Walled Polypropylene Gear Shrinkage
The main aim of this research is to optimize the injection molding process parameters in order to mitigate the shrinkage of polypropylene (PP) spur gears. The methodology used integrated experimental approaches with artificial neural networks (ANN), and Taguchi methods to determine the optimal combi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Semnan University
2025-08-01
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| Series: | Mechanics of Advanced Composite Structures |
| Subjects: | |
| Online Access: | https://macs.semnan.ac.ir/article_8935_86230cc0bbf71c40b3c46f0f075349b2.pdf |
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