International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

Volume2,September 2017,

Topic : Effect of Process Parameters on Mrr and Surface Roughness in Turning Process of En8

Authors:Bhiksha Gugulothu || A. Raveendra, M.Uma mahesh

Abstract:Good surface quality and better material removal rate are desired for the proper functioning of the produced parts. It was seen that the desired surface roughness and material removal rate were not obtained consistently in turning of EN 8 steel applications (Camshaft). These higher values of surface roughness results in rework and increases cost hence the main objective is optimization of surface roughness and material removal rate a general optimization of surface roughness and material removal rate are deemed to be necessary for the most of manufacturing industry The surface quality and material removal rate are influenced by cutting speed, feed rate and depth of cut and many other parameters. In this study the effect of the machining parameters like spindle speed, feed and depth of cut on material removal rate and surface roughness are investigated, also optimum process parameters are studied. An L9 orthogonal array (mixed level design), analysis of variance (ANOVA) and the signal to noise (S/N) ratio are used in this study. Mixed levels of machining parameters are used and experiments are done on conventional lathe machine. EN8 or 080M40 is unalloyed medium carbon steel material is used it is suitable for manufacture of shafts, studs, keys, general purpose axles etc. The most significant parameters for material removal rate are depth of cut, speed and least significant factor for MRR is Feed, For surface roughness speed, depth of cut the most significant parameters and least significant factor for surface roughness is feed.

Keywords: Reliability Analysis; Rackwitz-Fiessler Algorithm; Reliability Index; Probability of failure

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DOI: 01.1617/vol4/iss9/pid28054


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Editor-in-Chief
Meinhard Taher Schobeiri
Professor,
Texas A & M University, USA.

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IMPACT FACTOR: 3.8

ISSN(Online): 2456-1290

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERMCE
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