Long Ye

Parametric description and classification method of laser spots in annular-array multi-beam coaxial wire-fed laser additive manufacturing

Guoda Chen, Jinlong Li, Fengyi Liu, Yang Li et autres

Mechanism of Electrode Wettability Effects in Liquid-Mask Electrochemical Micromachining

Qingyun Xie, Congpei Yao, Long Ye, Xiaolei Chen

A synergistic framework combining explainable AI and multiphysical simulation for uncovering process–structure relationships in mask electrolyte jet machining

Ming Wu, Zequan Yao, Long Ye, Jia Ge et autres

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A critical review of laser wire directed energy deposition: Toward large-scale metal additive manufacturing

Ruslan Melentiev, Long Ye, A. Wagih, Guoda Chen et autres

The future of additive manufacturing (AM) is evolving beyond small-scale prototyping toward the production of large-scale, high-performance, and high-value metal components. Laser wire directed energy deposition (LW-DED) has emerged as a promising AM technology in this scenario, offering meter-scale builds, kilogram-per-hour productivity, …

Design and Validation of a Compact Focusing Mechanism for Space Optical Cameras with MTF-Based Defocus Analysis

Dou Zhang, Xiangxin Guo, Rongjia Zhang, Xicheng Zhang et autres

A compact encoder-based focusing mechanism is proposed to compensate for axial focal-plane displacement in a space optical camera. The mechanism converts the rotation of a stepper motor into linear motion of the CCD focal plane assembly through a worm gear pair, a …

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Vision-based wire stick-out measurement method in wire-fed laser additive manufacturing

Guoda Chen, Dingxu Zhou, Yang Gao, Fangda Xu et autres

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Proposal and evaluation of a novel contactless surface characteristic method for quantifying wire laser additive manufacturing

Hao Xue, Long Ye, Yipeng Wang, Fangda Xu et autres

Wire Laser Additive Manufacturing (WLAM) is an emerging additive manufacturing technique, offering significant advantages such as high efficiency and design flexibility for the rapid fabrication of complex metallic components. However, the absence of a standardized, non-contact surface characterization method limits its industrial …

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Interpretable semi-supervised 3D deep anomaly detection for surface defect localization in wire-laser directed energy deposition using point clouds

Zhiyuan Wang, Yang Gao, Long Ye, Cheng Guo et autres

Wire-laser directed energy deposition (WL-DED) enables the fabrication of large-scale metallic components but frequently suffers from process-induced surface defects that hinder part quality and increase post-processing costs. Automated inspection is challenging because defects are diverse and rare, making large labelled datasets impractical. …

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Point cloud data for

Long Ye

This repository contains all point cloud data we have used to train and test the semi-supervised models, namely convolutional autoencoder and variational autoencoder, for automatic detection of surface defects in laser directed energy deposition. Each point cloud data file corresponds to a …

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Point cloud data for

Long Ye

This repository contains all point cloud data we have used to train and test the semi-supervised models, namely convolutional autoencoder and variational autoencoder, for automatic detection of surface defects in laser directed energy deposition. Each point cloud data file corresponds to a …

gb (code pays fourni par la source)

A Wire Laser DED aware process planning framework with topology optimisation enabled by dual-gate simulation

Nan Yu, Jinpeng Lyu, Long Ye, Ruslan Melentiev et autres

This paper presents a wire laser directed energy deposition (WL-DED) aware process planning framework integrating topology optimisation with manufacturability constraints via a dual-gate simulation. The design gate verifies structural performance, while the process gate evaluates thermo-mechanical printability. Human-in-the-loop geometric reconstruction embeds WL-DED …

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Proposal of a novel deep learning-driven framework for quantitative investigation of parameter-process-quality relationships in wire laser directed energy deposition

Yichang Zhou, Yang Gao, Hongyun Zhao, Zhaosheng Li et autres

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