| Issue |
EPJ Web Conf.
Volume 345, 2026
4th International Conference & Exposition on Materials, Manufacturing and Modelling Techniques (ICE3MT2025)
|
|
|---|---|---|
| Article Number | 01069 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202634501069 | |
| Published online | 07 January 2026 | |
https://doi.org/10.1051/epjconf/202634501069
Impact of process parameters on noise emission and microhardness during dry turning of squeeze cast Al 7075 alloy: A case study
School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar-24, Odisha, India
* Corresponding author: aklala72@gmail.com
Published online: 7 January 2026
The objective of the research is to investigate the machinability characteristics of squeeze cast Al 7085 through carbide insert using Taguchi design of experiment and obtain the parametric optimization of responses such as noise emission and vickers micro-hardness. Squeeze cast sample surface generates micro-hardness of 139.3-149.6 HV whereas emissions of noise during dry turning are in the range of 68.1dB-77.1dB respectively. Impact of process parameters on noise emission are increasing in trend with 52.94%, 32.33% and 14.69% contribution at 95% confidence level. The contribution of cutting speed and depth of cut on micro-hardness of specimen are significant with 69.39% and 29.39% respectively. Prediction models through multiple linear regressions are found to be fitted well as coefficient of regression approaches one. During desirability multi-response optimization approach, the optimal parameters are found to be vc: 127.255 m/min, f: 0.05 mm/rev and ap: 0.1 mm with minimum values of micro- hardness and noise emission are 141.752 HV and 71.5405dB respectively. The outcome of the research has shown improvements in terms of good machinability and may be adopted in industries for green and sustainable manufacturing process.
© The Authors, published by EDP Sciences, 2026
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.
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