Comprehensive molten pool condition-process relations modeling using CNN for wire-feed laser additive manufacturing

Author:

Jamnikar Noopur,Liu Sen,Brice Craig,Zhang Xiaoli

Funder

Office of Naval Research

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference63 articles.

1. An overview of direct laser deposition for additive manufacturing; part I: transport phenomena, modeling and diagnostics;Thompson;Addit Manuf,2015

2. Wire-feed additive manufacturing of metal components: technologies, developments and future interests;Ding;Int J Adv Manuf Technol,2015

3. Investigation on the process window with liner energy density for single-layer parts fabricated by wire and arc additive manufacturing;Sun;J Manuf Process,2020

4. An overview of direct laser deposition for additive manufacturing; part II: mechanical behavior, process parameter optimization and control;Shamsaei;Addit Manuf,2015

5. A review of the wire arc additive manufacturing of metals: properties, defects and quality improvement;Wu;J Manuf Process,2018

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1. Monitoring process stability in robotic wire-laser directed energy deposition based on multi-modal deep learning;Journal of Manufacturing Processes;2024-10

2. Cost Modelling for Powder Bed Fusion and Directed Energy Deposition Additive Manufacturing;Journal of Manufacturing and Materials Processing;2024-07-04

3. Process monitoring by deep neural networks in directed energy deposition: CNN-based detection, segmentation, and statistical analysis of melt pools;Robotics and Computer-Integrated Manufacturing;2024-06

4. Investigation of ultra-high-frequency induction-assisted laser wire deposition;Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023);2024-04-01

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