Developing a supervised machine‐learning model capable of distinguishing fiber orientation of polymer composite samples nondestructively tested using active ultrasonics-Reference-Cited by-同舟云学术

Developing a supervised machine‐learning model capable of distinguishing fiber orientation of polymer composite samples nondestructively tested using active ultrasonics

Published:2022-07-25 Issue:1 Volume:5 Page:
ISSN:2637-403X
Container-title:Journal of Advanced Manufacturing and Processing
language:en
Short-container-title:J Adv Manuf & Process

Author:

Bedrosian Austin D.¹^ORCID,Thompson Michael R.¹^ORCID,Hrymak Andrew²,Lanza Gisela³

Affiliation:

1. Department of Chemical Engineering, CAPPA‐D/MMRI McMaster University Hamilton Ontario Canada

2. Department of Chemical and Biochemical Engineering University of Western Ontario London Ontario Canada

3. Institute of Production Science (wbk) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/amp2.10138

Reference70 articles.

1. Smart manufacturing: Past research, present findings, and future directions

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