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Surface Roughness Prediction Based on Cutting Parameters for Turning Operation- Review
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gamit, Ashish P. Patel, Bhavesh Chaudhari, Mehul |
| Copyright Year | 2017 |
| Abstract | Due to the widespread use of highly automated machine tools in the industry, manufacturing requires reliable models and methods for the prediction of output performance of machining processes. The prediction of optimal machining conditions for good surface finish and dimensional accuracy plays a very important role in process planning. The present research deals with the study of different types of surface roughness prediction models used in turning. In machining operation, the quality of surface finish is an important requirement for almost all turned work pieces. The goal of modern machining industries is mainly focused on achieving high quality, in term of part/component accuracy, surface finish, high production rate and increase the product life with lesser environmental impact. The surface roughness obtained depends on the cutting tool, the cutting conditions, the machine characteristics, the surrounding vibrations and the work piece material. In this way to get the best results of surface roughness, it is important to control the process parameter in any manufacturing procedure. From the Optimization techniques and surface roughness models it is found that the greatest influence on the surface roughness is exhibited by the feed rate, followed by depth of cut and cutting speed. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ijsre.in/Vol-1/Issue-9/4.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
