Prediction Modeling of Surface Roughness Using Capacitive Sensing Technique in Machining Process-Reference-Cited by-同舟云学术

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Prediction Modeling of Surface Roughness Using Capacitive Sensing Technique in Machining Process

Published:2019-11-01 Issue:21 Volume:19 Page:9997-10002
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Mathiyazhagan R.^ORCID,Sampathkumar S.,Muthuramalingam T.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8859534/08756226.pdf?arnumber=8756226

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electromagnetic wave scattering simulation from precision grinding SiC surface under the influence of suspended micro-particles;Nondestructive Testing and Evaluation;2024-08-16

2. Enhancing the Impact Resilience of Subzero Composite Laminates by Novel Recycled Milled Hybrid Fillers;Applied Composite Materials;2024-07-13

3. Development of Weighted Ensemble Deep Learning Network for Surface Roughness Prediction and Flank Wear Measurement;Journal of Materials Engineering and Performance;2024-07-10

4. Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography;Annals of Operations Research;2023-07-24

5. Reconstruction of Shapes using Machine Vision System Based on Focus Measurement: A Quantitative Analysis of Texture Influence Using 3D Printed Objects;MAPAN;2023-06-16

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