Designing an Ultrasonic-Assisted Machining System by Using a Network Mapping Fusion–Convolutional Neuro-Fuzzy Network Model-Reference-Cited by-同舟云学术

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Designing an Ultrasonic-Assisted Machining System by Using a Network Mapping Fusion–Convolutional Neuro-Fuzzy Network Model

Published:2024-07 Issue:7 Volume:20 Page:9286-9297
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Lin Cheng-Jian¹^ORCID,Jhang Jyun-Yu²^ORCID,Lin Xue-Qian¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taichung, Taiwan

2. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

Funder

National Science and Technology Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10582275/10499963.pdf?arnumber=10499963

Reference26 articles.

1. Aluminium Alloys for Aerospace Applications

2. Development of Packaging Technology for High Temperature Resistant SiC Module of Automobile Application

3. Experimental investigations of machining characteristics and removal mechanisms of advanced ceramics in high speed deep grinding

4. Design And Experimental Investigation On Vibration System Of Ultrasonic Vibration-Assisted Elid Internal Grinding Zta Ceramics

5. Modeling detrimental effects of high surface roughness on the fatigue behavior of additively manufactured Ti-6Al-4V alloys

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