Surface roughness prediction of machined components using gray level co-occurrence matrix and Bagging Tree-Reference-Cited by-同舟云学术

Surface roughness prediction of machined components using gray level co-occurrence matrix and Bagging Tree

Published:2020 Issue:2 Volume:48 Page:468-475
ISSN:1451-2092
Container-title:FME Transactions
language:en
Short-container-title:FME Transactions

Author:

Patel Dhiren,Thakker Harshit,Kiran M.B.,Vakharia Vinay

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2020/1451-20922002468P.pdf

Reference28 articles.

1. Bas G, Stoev L, Durakbasa NM (2015) Assessment of the Production Quality in Machining by Integrating a System of High Precision Measurement. In: Procedia Eng. Elsevier B.V., pp 1616-1624;

2. Grzesik W (1996) A revised model for predicting surface roughness in turning. Wear 194:143-148. doi: 10.1016/0043-1648(95)06825-2;

3. Lin SC, Chang MF (1998) A study on the effects of vibrations on the surface finish using a surface topography simulation model for turning. Int J Mach Tools Manuf 38:763-782. doi: 10.1016/S0890-6955(97)00073-4;

4. Kyun D, Ko TJ, Kim HS (2001) Optimization of feedrate in a face milling operation using a surface roughness model. Int J Mach Tools Manuf 41:451-462. doi: 10.1016/S0890-6955(00)00039-0;

5. Chen CCA, Liu WC, Duffie NA (1998) A surface topography model for automated surface finishing. Int J Mach tools Manuf 38:543-550. doi: 10.1016/S0890-6955(97)00100-4;

Cited by 18 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. Spiking ViT: spiking neural networks with transformer—attention for steel surface defect classification;Journal of Electronic Imaging;2024-05-02

2. Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition;Journal of Natural Fibers;2024-02-11

3. Non-invasive and non-contact automatic jaundice detection of infants based on random forest;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-08-20

4. Efficient infrared image processing and machine learning algorithm for breast cancer screening;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-06-26

5. Steel surface defect classification approach using an All-optical Neuron-based SNN with attention mechanism;International Journal of Intelligent Computing and Cybernetics;2023-06-15