The Key Process Factors in Prestressed Laser Peen Forming and the Design of Parameters Through an Artificial Neural Network

The Key Process Factors in Prestressed Laser Peen Forming and the Design of Parameters Through an Artificial Neural Network

This research investigated the influences of some key factors in the prestressed laser peen forming (PLPF) process, namely, the plate thickness, the coverage ratio, and the prestress, on the deformation of 2024-T351 rectangular plates through experiments and numerical simulations. In the experiments...

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Bibliographic Details
Main Authors: Jiayang Lyu, Yongjun Wang, Zhiwei Wang, Junbiao Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Metals
Subjects:
prestressed laser peen forming
finite element analysis
plastic forming
thin-walled structure
artificial neural network
Online Access:https://www.mdpi.com/2075-4701/15/4/445
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