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Modelling and analysis of tool wear and surface roughness in hard turning of AISI D2 steel using response surface methodology
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mir, Mariam Wani, M. F. |
| Copyright Year | 2018 |
| Abstract | Article history: Received January 15 2017 Received in Revised Format April 1 2017 Accepted April 27 2017 Available online April 28 2017 The present work deals with some machinability studies on tool wear and surface roughness, in finish hard turning of AISI D2 steel using PCBN, Mixed ceramic and coated carbide inserts. The machining experiments are conducted based on the response surface methodology (RSM). Combined effects of three cutting parameters viz., cutting speed, cutting time and tool hardness on the two performance outputs (i.e. VB and Ra), are explored employing the analysis of variance (ANOVA).The relationship(s) between input variables and the response parameters are determined using a quadratic regression model. The results show that the tool wear was influenced principally by the cutting time and in the second level by the cutting tool hardness. On the other hand, cutting time was the dominant factor affecting workpiece surface roughness followed by cutting speed. Finally, the multiple response optimizations of tool wear and surface roughness were carried out using the desirability function approach (DFA). © 2018 Growing Science Ltd. All rights reserved |
| Starting Page | 63 |
| Ending Page | 74 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.5267/j.ijiec.2017.4.004 |
| Volume Number | 9 |
| Alternate Webpage(s) | http://www.m.growingscience.com/ijiec/Vol9/IJIEC_2017_15.pdf |
| Alternate Webpage(s) | https://doi.org/10.5267/j.ijiec.2017.4.004 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
