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Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms

by Gurumukh Das, Padam Das
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 8
Year of Publication: 2015
Authors: Gurumukh Das, Padam Das
10.5120/21559-4592

Gurumukh Das, Padam Das . Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms. International Journal of Computer Applications. 121, 8 ( July 2015), 11-17. DOI=10.5120/21559-4592

@article{ 10.5120/21559-4592,
author = { Gurumukh Das, Padam Das },
title = { Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 8 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number8/21559-4592/ },
doi = { 10.5120/21559-4592 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:54.193550+05:30
%A Gurumukh Das
%A Padam Das
%T Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 8
%P 11-17
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Advanced manufacturing systems often caters to rapidly changing product specification determination by the continuously increasing productivity, flexibility and quality demands. The estimation of cutting forces is mandatory to select tools and accessories for machining. Complex interrelationships exist between process parameters and these forces. In the present work, the applicability and relative effectiveness of artificial neural network based model has been investigated for rapid estimation of cutting forces. The results obtained are found to correlate well with the actual experimental readings of cutting forces. Experiments were conducted at different process parameters of cutting in Drilling operation. The proposed work has wide application in selection of tools and online tool wear monitoring.

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Index Terms

Computer Science
Information Sciences

Keywords

Drilling Cutting forces Cutting process parameters Artificial neural networks (ANNs).

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