Northwestern University

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Filtering by: Keyword Digital Twin Keyword Machine Learning

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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