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  Published Paper Details:

  Paper Title

PREDICITION OF MATERIAL REMOVAL RATE USING GENETIC ALGORITHM

  Authors

  B.Krishna Murthy,  P.Surendra,  M.V.Kiran

  Keywords

Genetic Algorithm, Material Removal Rate

  Abstract


Due to the advancement of technology, the demand of the hour is increasing. Metal machining is one of the important aspects. During machining, several process parameters such as cutting speed, feed rate and depth of cut affecting the material removal rate, machining performance and its productivity. The majority of work performed by the engineers is to find out the optimal level of parameter to obtain the desired quality and maximize the performance of machining. There are several techniques available to determine the optimum values of these parameters. We are using Genetic algorithm for the prediction of material removal rate (MRR). From this genetic algorithm, we are selecting optimum result relating to process parameters.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802422

  Paper ID - 182850

  Page Number(s) - 650-655

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  B.Krishna Murthy,  P.Surendra,  M.V.Kiran,   "PREDICITION OF MATERIAL REMOVAL RATE USING GENETIC ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.650-655, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802422.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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