Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://doi.org/10.2...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.26524/royal...
Book
License: CC BY NC SA
Data sources: UnpayWall
https://doi.org/10.26524/royal...
Book . 2022 . Peer-reviewed
Data sources: Crossref
addClaim

MILLING PROCESS PARAMETERS AND TAGUCHI METHOD

Authors: Mohit Balkrishna Diwan; Sonal Chandubhai Yogi;

MILLING PROCESS PARAMETERS AND TAGUCHI METHOD

Abstract

To safeguard the quality of the products machined at the least costs along with the greatest amount of efficiency during machining, the selection of the ideal parameters is very necessary. Usually the working of an experienced operator is very necessary for the selection of an ideal cutting condition for the metal. But it is very difficult for a qualified operator to prevail ideal cutting conditions for each time. Due to the unorganized nature of the processes during machining the engineers are looking for methods which are more efficient for attaining optimization.The main aim in the design process is to bring the production cost to the least amount or to bring the profit to the maximum height. The goal of the research is to construct a flavorful algorithm for the optimization by making use of the suggestions given by the environment and using these solutions for solving the problems of optimization that really exists in the process of the manufacturing. The designs having one or more than one solutions are provided by the users for the optimum algorithms and there is a repeated check on all the possible solutions of the new designs that exist for provision of the real optimum result. For the roughness of the surface, a mathematical model is evolved by making the use of the response surface analysis.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid