Integration of Artificial Neural Network and Taguchi Method for Prediction and Minimisation of Thick-Walled Polypropylene Gear Shrinkage

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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Bibliographic Details
Main Authors: Bikram Singh Solanki, Devi Singh Rawat, Harpreet Singh, Tanuja Sheorey
Format: Article
Language:English
Published: Semnan University 2025-08-01
Series:Mechanics of Advanced Composite Structures
Subjects:
injection moulding
polypropylene gear
shrinkage
artificial neural network
optimisation
Online Access:https://macs.semnan.ac.ir/article_8935_86230cc0bbf71c40b3c46f0f075349b2.pdf
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