Surface roughness prediction as a classification problem using support vector machine
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Surface roughness prediction as a classification problem using support vector machine
Authors
Keywords
Classification, Feature selection, Milling, Support vector machine (SVM), Surface roughness, Vibrations, Wavelets
Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 92, Issue 1-4, Pages 803-815
Publisher
Springer Nature
Online
2017-03-04
DOI
10.1007/s00170-017-0165-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- High speed grinding of particulate reinforced titanium matrix composites using a monolayer brazed cubic boron nitride wheel
- (2016) Xinxin Xi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Modeling and Predicting Surface Roughness in Hard Turning Using a Bayesian Inference-Based HMM-SVM Model
- (2015) Kang He et al. IEEE Transactions on Automation Science and Engineering
- Experimental study of the combined influence of the tool geometry parameters on the cutting forces and tool vibrations
- (2015) Sadredine Abainia et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prediction of Surface Roughness for AISI 304 Steel with Solid Carbide Tools in End Milling Process Using Regression and ANN Models
- (2014) S. Kalidass et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Prediction of surface roughness in end face milling based on Gaussian process regression and cause analysis considering tool vibration
- (2014) Guojun Zhang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Prediction of surface roughness of end milling operation using genetic algorithm
- (2014) G. Mahesh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Surface roughness prediction in end milling process using intelligent systems
- (2013) Abdel Badie Sharkawy et al. International Journal of Machine Learning and Cybernetics
- Experimental investigation of tool vibration and surface roughness in the precision end-milling process using the singular spectrum analysis
- (2012) Chih-Cherng Chen et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Machined surface generation using wavelet filtering
- (2011) Jae-Yong Yang et al. Journal of Mechanical Science and Technology
- Surface roughness prediction in machining using soft computing
- (2009) B. Samanta INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Zigzag machining surface roughness modelling using evolutionary approach
- (2009) Cevdet Göloğlu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Automated intelligent manufacturing system for surface finish control in CNC milling using support vector machines
- (2008) R. Ramesh et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Optimal cutting condition determination for desired surface roughness in end milling
- (2008) Chakguy Prakasvudhisarn et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- In-process surface roughness prediction system using cutting vibrations in turning
- (2008) D. R. Salgado et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search