{"title":"Determination of the Quality of the Machined Surface Using Fuzzy Logic","authors":"Dejan Taniki\u0107, Jelena \u0110okovi\u0107, Sa\u0161a Kalinovi\u0107, Miodrag Mani\u0107, Sa\u0161a Ran\u0111elovi\u0107","volume":141,"journal":"International Journal of Mechanical and Mechatronics Engineering","pagesStart":897,"pagesEnd":902,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10009506","abstract":"
This paper deals with measuring and modelling of the quality of the machined surface of the metal machining process. The average surface roughness (Ra<\/sub><\/em>) which represents the quality of the machined part was measured during the dry turning of the AISI 4140 steel. A large number of factors with the unknown relations among them influences this parameter, and that is why mathematical modelling is extremely complicated. Different values of cutting speed, feed rate, depth of cut (cutting regime) and workpiece hardness causes different surface roughness values. Modelling with soft computing techniques may be very useful in such cases. This paper presents the usage of the fuzzy logic-based system for determining metal machining process parameter in order to find the proper values of cutting regimes.<\/p>\r\n","references":"[1]\tD. Taniki\u0107, V. Marinkovi\u0107, M. Mani\u0107, G. Deved\u017ei\u0107 and S. Ran\u0111elovi\u0107, \u201cApplication of response surface methodology and fuzzy logic based system for determining metal cutting temperature,\u201d Bull. Pol. Ac.: Tech., vol. 64, no. 2, pp. 435\u2013445, 2016.\r\n[2]\tM. A. Sofuoglu and S. Orak, \u201cPrediction of stable cutting depths in turning operation using soft computing methods,\u201d Appl. Soft Comput., vol. 38, pp. 907\u2013921, 2016.\r\n[3]\tM. S. Sukumar, P. V. Ramaiah and A. Nagarjuna, \u201cOptimization and Prediction of Parameters in Face Milling of Al-6061 Using Taguchi and ANN Approach,\u201d Procedia Eng., vol. 97, pp. 365\u2013371, 2014.\r\n[4]\tM. Radovanovi\u0107, Tehnologija ma\u0161inogradnje, obrada materijala rezanjem, Univerzitet u Ni\u0161u, Ma\u0161inski fakultet, Ni\u0161, Serbia, 2002. (in Serbian).\r\n[5]\tFuzzy Logic Toolbox User\u2019s Guide, COPYRIGHT 1995\u20131999 by The MathWorks, Inc.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 141, 2018"}