Image-based Artificial Intelligence-driven modelling for blank shape optimisation in sheet metal forming

Image-based Artificial Intelligence-driven modelling for blank shape optimisation in sheet metal forming

Design for manufacturing is essential to fully exploit the potential of emerging materials and processing technologies. However, traditional trial-and-error optimisation often exhibits inferior performance in manufacturability-driven problems, particularly when handling complex shapes. Surrogate mod...

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Bibliographic Details
Main Authors: Haosu Zhou, Haoran Li, Yingxue Zhao, Peter R.N. Childs, Nan Li
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Materials & Design
Subjects:
Design for manufacturing
Sheet metal forming
Artificial Intelligence
Convolutional neural network (CNN)
Image-based surrogate model and shape generator
Non-parametric shape optimisation
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525007221
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