Prediction of Surface Roughness in Magneto Rheological Abrasive Flow Finishing Process by Artificial Neural Networks and Regression Analysis

Publisher： Trans Tech Publications

E-ISSN： 1662-7482|2015|766|1076-1084

ISSN： 1660-9336

Source： Applied Mechanics and Materials, Vol.2015, Iss.766, 2015-07, pp. : 1076-1084

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

SURFACE ROUGHNESS PREDICTION USING HYBRID NEURAL NETWORKS

By Jesuthanam C. P. Kumanan S. Asokan P.

Machining Science and Technology, Vol. 11, Iss. 2, 2007-04 ,pp. : 271-286

Taylor & Francis Ltd

Access to resources Recommend Favorite

Experimental and Prediction of Abrasive Wear Behavior of Sintered Cu-SiC Composites Containing Graphite by Using Artificial Neural Networks

By Senthil Kumar P. Manisekar K. Narayanasamy R.

Tribology Transactions, Vol. 57, Iss. 3, 2014-05 ,pp. : 455-471

Taylor & Francis Ltd

Access to resources Recommend Favorite

MAGNETIC FIELD ANALYSIS AND ROUGHNESS PREDICTION IN MAGNETORHEOLOGICAL ABRASIVE HONING (MRAH)

By Sadiq A. Shunmugam M. S.

Machining Science and Technology, Vol. 13, Iss. 2, 2009-04 ,pp. : 246-268

Taylor & Francis Ltd

Access to resources Recommend Favorite

Rheological Properties and Their Correlation with Surface Finish Quality in MR Fluid-Based Finishing Process

By Sidpara Ajay Jain V. K.

Machining Science and Technology, Vol. 18, Iss. 3, 2014-07 ,pp. : 367-385

Taylor & Francis Ltd

Access to resources Recommend Favorite

MULTI-OBJECTIVE OPTIMIZATION OF ABRASIVE FLOW MACHINING PROCESSES USING POLYNOMIAL NEURAL NETWORKS AND GENETIC ALGORITHMS

By Ali-Tavoli M. Nariman-Zadeh N. Khakhali A. Mehran M.

Machining Science and Technology, Vol. 10, Iss. 4, 2006-10 ,pp. : 491-510

Taylor & Francis Ltd

Access to resources Recommend Favorite