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Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes

Description:

Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high customizations at an affordable cost even for low-volume productions. Two prominent flexible manufacturing processes...

Keyword:

Neural Network, Reinforcement Learning, Manufacturing, Additive Manufacturing, and Artificial Intelligence

Subject:

Computational physics, Mechanical engineering, and Computer science

Creator:

Mozaffar, Mojtaba

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

10/07/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15685 and etdadmin_upload_839531
Interphase Modeling and Data Analytical Approaches for Polymer Nanocomposites Design

Description:

Polymer nanocomposites are a class of advanced materials comprised of soft polymer matrix and nano-filler inclusions. While it has been found qualitatively that enhancements of material properties could be achieved by dispersing inorganic nano-particles into organic polymer matrix, the intrinsic governing principles of such composite has not been thoroughly studied...

Keyword:

Interphase, Data Mining, Design Optimization, Finite Element Analysis, Deep Learning, and Microstructure Characterization and Reconstruction

Subject:

Mechanical engineering, Computer science, and Engineering

Creator:

Li, Xiaolin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2018-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14436 and etdadmin_upload_625304

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