Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
---|---|---|
Article Number | 01271 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/e3sconf/202343001271 | |
Published online | 06 October 2023 |
Effect of High Speed Machining on Surface Roughness Characteristics Ra, Rq, RZ
a PhD Scholar, School of Mechanical Engineering, Lovely Professional University, Jalandhar - 144411, Punjab, India
b Assistant Professor, Mechanical Engineering Department, Institute of Technology and Management, Gorakhpur - 273209, U.P., India
c Associate Professor, School of Mechanical Engineering, Lovely Professional University, Jalandhar - 144411, Punjab, India
d Professor, School of Mechanical Engineering, Lovely Professional University, Jalandhar - 144411, Punjab, India
* Corresponding author: sanchitkhare@yahoo.com
Today’s machining industries experience a variety of challenges, but achieving high quality in terms of dimensional accuracy, surface quality, and production rate is their key concern. An effort has been made in the current study to investigate the impact of HSM process parameters on different Surface Roughness characteristics Ra, Rq, and Rz. The trials were conducted on Ti-6Al-4V, a material that finds extensive use in the automotive, aerospace, and biomedical industries. Depth of cut, feed rate, cutting speed, and step over were taken into account as HSM inputs for the experiment. Similar to this, the output characteristics Surface roughness parameters Ra, Rq, and Rz were used. The trials were carried out using Taguchi’s standard L9 Orthogonal Array, and the optimization of multi responses was carried out using Grey analysis. The most significant influences on the parameters of surface roughness were found to be cutting speed and depth of cut. A confirmation experiment was performed using the ideal set of parameters to validate the study, and the results were found to be in good agreement with those of the experiment. According to the findings, the HSM method produced a superior surface quality.
Key words: Speed / Milling / GRA / Roughness / Taguchi
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.