Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

<p dir="ltr">This study examines the use of injection moulding to evaluate mechanical properties in plastic products, such as shear and residual stresses. Key process variables like melt temperature, mould temperature, hold pressure duration, and pure hold duration are meticulously c...

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Bibliographic Details
Main Author: Mohammad Reza Chalak Qazani (13893261) (author)
Other Authors: Mehdi Moayyedian (14880358) (author), Parisa Jourabchi Amirkhizi (19324981) (author), Mohsen Hedayati-Dezfooli (10852116) (author), Ahmed Abdalmonem (21398084) (author), Ahmad Alsmadi (21398087) (author), Furqan Alam (21398090) (author)
Published: 2024
Subjects:
Engineering
Control engineering, mechatronics and robotics
Manufacturing engineering
Materials engineering
Information and computing sciences
Machine learning
Mathematical sciences
Numerical and computational mathematics
Injection moulding
Shear/residual stress
Type-2 fuzzy neural network
Multi-objective optimisation
Genetic algorithm
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