Future of Ultrasonic Transducers: How Machine Learning Is Driving Innovation-Reference-Cited by-同舟云学术

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Future of Ultrasonic Transducers: How Machine Learning Is Driving Innovation

Published:2023-12-04 Issue:49 Volume:62 Page:21222-21236
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gandomzadeh Danial¹,Rohani Abbas²^ORCID,Abbaspour-Fard Mohammad Hossein³^ORCID

Affiliation:

1. Ph.D Researcher, Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad 989177948974, Iran

2. Associate Professor of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad 989177948974, Iran

3. Professor of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad 989177948974, Iran

Funder

Ferdowsi University of Mashhad

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c03109

Reference51 articles.

1. An amplitude prediction model for a giant magnetostrictive ultrasonic transducer

2. A vibration amplitude model for the giant magnetostrictive ultrasonic processing system

3. Design and numerical simulation of novel giant magnetostrictive ultrasonic transducer

4. Effect of Terfenol-D rod structure on vibration performance of giant magnetostrictive ultrasonic transducer

5. Investigation ofΔEEffect on Vibrational Behavior of Giant Magnetostrictive Transducers

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