Optimization of wire-EDM process parameters for Ni–Ti-Hf shape memory alloy through particle swarm optimization and CNN-based SEM-image classification

Optimization of wire-EDM process parameters for Ni–Ti-Hf shape memory alloy through particle swarm optimization and CNN-based SEM-image classification

Shape memory alloys (SMAs) have the unique ability to regain their shape under specified conditions, making them extremely useful for a wide range of applications. However, non-traditional machining techniques could be more effective for high-temperature SMAs as they provide better shape recovery pr...

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Bibliographic Details
Main Authors: Rahul V. M, Balaji V, Narendranath S
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Results in Engineering
Subjects:
Convolutional neural network
Wire electric discharge machining
Scanning electron microscopic image
Shape memory alloy
Particle swarm optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023002682

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http://www.sciencedirect.com/science/article/pii/S2590123023002682

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