| dc.contributor.author |
Sangwan, Kuldip Singh |
|
| dc.contributor.author |
Garg, Girish Kant |
|
| dc.date.accessioned |
2023-08-28T09:06:31Z |
|
| dc.date.available |
2023-08-28T09:06:31Z |
|
| dc.date.issued |
2013-02 |
|
| dc.identifier.uri |
https://www.scientific.net/AMM.307.170 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11706 |
|
| dc.description.abstract |
This paper focuses on the development of a predictive model using the measured forces acting on the cutting tool during turning operation of AISI 1045 Steel using a Tungsten Carbide cutting tool insert. On the basis of the experimental results, second order mathematical model is developed in terms of machining parameters by using the Response Surface Methodology (RSM). The results are analyzed statistically and graphically. It has been observed that the predicted values using RSM also follow the same trend as given by the measured values. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Trans Tech Publications Ltd |
en_US |
| dc.subject |
Mechanical Engineering |
en_US |
| dc.subject |
Cutting forces |
en_US |
| dc.subject |
Metal Cutting Modeling |
en_US |
| dc.subject |
Response Surface Methodology (RSM) |
en_US |
| dc.title |
Predictive Modeling of Turning Operations Using Response Surface Methodology |
en_US |
| dc.type |
Article |
en_US |