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Filtering by: Creator Liao, Shuheng Keyword Additive Manufacturing Keyword Machine Learning Keyword Physics-based Model Subject Mechanical engineering

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1. Toward a Digital Twin of Metal Additive Manufacturing: Process Optimization and Control Enabled by Physics-based and Data-driven Models

Description:: In recent decades, metal additive manufacturing has seen rapid advancements, offering promising applications across various industries. However, addressing existing challenges in metal AM, such as process stability, defect avoidance, and quality control, is essential for fully exploiting its potential in fabricating parts with a desired geometry, as well as tailored...
Keyword:: Physics-based Model, Digital Twin, Data-driven Model, Machine Learning, and Additive Manufacturing
Subject:: Mechanical engineering
Creator:: Liao, Shuheng
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16572 and etdadmin_upload_985942

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1. Toward a Digital Twin of Metal Additive Manufacturing: Process Optimization and Control Enabled by Physics-based and Data-driven Models