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Optimization of process parameters in CNC turning of aluminium alloy using hybrid RSM cum TLBO approach
| Content Provider | Scilit |
|---|---|
| Author | Rudrapati, R. Sahoo, P. Bandyopadhyay, A. |
| Copyright Year | 2016 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering The main aim of the present work is to analyse the significance of turning parameters on surface roughness in computer numerically controlled (CNC) turning operation while machining of aluminium alloy material. Spindle speed, feed rate and depth of cut have been considered as machining parameters. Experimental runs have been conducted as per Box-Behnken design method. After experimentation, surface roughness is measured by using stylus profile meter. Factor effects have been studied through analysis of variance. Mathematical modelling has been done by response surface methodology, to made relationships between the input parameters and output response. Finally, process optimization has been made by teaching learning based optimization (TLBO) algorithm. Predicted turning condition has been validated through confirmatory experiment. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/149/1/012039/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/149/1/012039 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 149 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2016-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Automotive Engineering Surface Roughness Optimization of Process |
| Content Type | Text |
| Resource Type | Article |
