Available online at www.sciencedirect.com ScienceDirect Materials Today: Proceedings 4 (2017) 982–990 www.materialstoday.com/proceedings 2214-7853©2017 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of Conference Committee Members of 5th International Conference of Materials Processing and Characterization (ICMPC 2016). 5th International Conference of Materials Processing and Characterization (ICMPC 2016) Intelligence model based machining process classification and performance estimation Umamaheswara Raju. R. S. a , V. Ramachandra Raju b , R. Ramesh a * a Department of Mechanical Engineering, MVGRCE, Vizianagaram, AP, India. b Department of Mechanical Engineering, JNTU Kakinada, EG District, AP, India. Abstract Designing a component for manufacturing poses several challenges in addressing the tolerances for geometry, dimensional and surface texture. Interfacing CAD/CAM and machining system will address the geometry and dimensional problems, surface texture controls yet to be developed in machining. A real time monitoring system needs to be developed that is capable of online monitoring and control the surface textures. In this work, as such technology is developed for monitoring and controlling the surface texture. Images of the workpiece machined surfaces are taken and further processed in image processing for image feature extraction. Classification of the machining process is done from image features.After classification, features are sent to the specific SVM machining model for estimation of the machining performance namely surface roughness. The model estimation accuracy is very high at 97 %. This system can be implemented for real-time monitoring and control of surface roughness. ©2017 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of Conference Committee Members of 5th International Conference of Materials Processing and Characterization (ICMPC 2016). Keywords:Machining processes, SVM Classifier, SVM Model, Surface roughness; * Corresponding author. Dr. R. Ramesh Tel.: +91 9963651264; fax: +91 08922241732. E-mail address:dr.r.ramesh@mvgrce.edu.in