Prediction and Optimization of Surface Roughness by Desirability Analysis

Ullah, S M Tawfiq; Khan, Ragib Ishraq; Rahman, Md. Mahfujur

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dc.contributor.author	Ullah, S M Tawfiq
dc.contributor.author	Khan, Ragib Ishraq
dc.contributor.author	Rahman, Md. Mahfujur
dc.date.accessioned	2021-10-14T04:58:07Z
dc.date.available	2021-10-14T04:58:07Z
dc.date.issued	2012-11-15
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Sahoo(2007), “Use Of Desirability Function Approach For Optimization Of Multiple Performance Characteristics Of The Surface Roughness Parameters In Cnc Turning”, International Conference on Mechanical Engineering 2007 ICME07-AM-16. [23] Enrique Del Castillo, Douglas C. Montgomery and Daniel R. McCarville, “Modified desirability functions for multiple response optimization”. 109 [24] Anayet U. Patwari, M.N. Mahmood, M.D. Arif(2012), “Improvement of Machinability of Mild Steel during turning operation by Magnetic Cutting”, International Journal on Advanced Science Engineering Information Technology, Vol. 2 No. 3 [25] Patwari, A. U., Arif, M. D. and Mahmood, M.N.(2012), “An innovative application of Digital Image Processing to Analyze Tool wear in Turning Operation”, Submitted to INRIT 2012, Thailand. [26] Anayet U. Patwari, Arif M.D., Chowdhury N.A., and Chowdhury Md. S. I., “3-D contour generation and determination of surface roughness and determination of surface roughness of shaped and horizontally milled plates using digital image processing,” International Journal of Engineering, Annals of Faculty of Engineering, Hunedoara, Romania. [27] Arif M.D., Patwari A.U., Chowdhury N.A.(2010), “Surface roughness characterization using digital image processing technique.” Proceedings of the 13th Annual Paper Meet, Mechanical Engineering Department, Institute of Engineers, Bangladesh. [28] NIST Engineering Statistics handbook: Section 5.7. A Glossary of DOE Terminology. [27] Wikipedia [28] A Thesis by Nuran Bradley,” The Response Surface Methodology”, [29] Matlab 2008 working manual	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/1199
dc.description	Supervised by Dr. Md. Anayet Ullah Patwari, Associate Professor, Department Of Mechanical and Chemical Engineering (MCE) Islamic University Of Technology (IUT) Board Bazar, Gazipur-1704, Bangladesh.	en_US
dc.description.abstract	This project deals with the prediction and optimization of surface roughness by desirability approach. There are some machining parameters that have significant effects on the surface of a metal and cause surface roughness. Now a days, it is a big concern to reduce the surface roughness for various machining operation by changing the value of machining parameters like feed rate, cutting speed etc. Here, in this project there were observations of rough surface at different feed and cutting speed. However, a CNC drilling machine can have different operation along with drilling. Obviously, there is roughness in the machined surface of a drilled hole. In this project there an effort has been made to develop a mathematical model of a CNC drilling machine for reducing surface roughness as much as possible. For getting the optimum values of machining parameters, “Desirability approach” and “ANOVA” were applied. Also there was an application of image processing to evaluate the circularity as it varies widely with the change of machining parameters. However, there is a successful prediction of surface roughness and the optimum cutting condition is found out. And this investigation to reduce roughness by producing a mathematical model for a CNC drilling machine is proved to be very much accurate by experimental validation which might be reference for further investigation on surface roughness for another operating conditions .	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Mechanical and Production Engineering (MPE),Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh	en_US
dc.title	Prediction and Optimization of Surface Roughness by Desirability Analysis	en_US
dc.type	Thesis	en_US