Open Access
J. Udaya Prakash,
S. Jebarose Juliyana,
C. Sarala Rubi,
S. Ananth,
S. Jayavelu,
N. Kumaran,
- Professor, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
- Assistant Professor, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
- Associate Professor, Department of Physics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
- Professor, Department of Mechanical Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India
- Professor, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, Tamil Nadu, India
- Associate Professor, Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, Tamil Nadu, India
Abstract
This research seeks to assess the effect of process variables such as feed rate (FR), spindle speed (SS), drill material (DM) and reinforcement (R%) on surface roughness (SR) when drilling LM6/B4C/Fly ash hybrid composites. The stir casting process was used to fabricate the LM6/B4C/Flyash hybrid composites utilizing LM6 aluminum alloy as the matrix material and B4C/Fly ash as strengthening materials. Experiments were carried out using an L18 orthogonal array (OA) in a Vertical Machining Centre (VMC). SR was determined with a SR Tester. The results reveal that the developed model can exactly estimate the SR in drilling of LM6/B4C/Fly ash hybrid composite materials. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R % on Surface Roughness (SR) when drilling AMCs. The results of the Response table (RT), Response graphs (RG), and Analysis of Variance (ANOVA) determines the best configuration and the effect of parameter values on SR. Feed rate and Spindle Speed (57.98% and 26.21%) has a particularly significant impact on SR. The investigational findings suggest that utilizing this strategy improves the performance parameters that are needed in the process of drilling.
Keywords: Hybrid Composites, Surface Roughness, Drilling, Optimization, Taguchi technique, ANOVA.
[This article belongs to Special Issue under section in Journal of Polymer and Composites (jopc)]
J. Udaya Prakash, S. Jebarose Juliyana, C. Sarala Rubi, S. Ananth, S. Jayavelu, N. Kumaran. Effect of Drilling Process Parameters on Surface Roughness of LM6/B4C/Fly Ash Hybrid Composites. Journal of Polymer and Composites. 2024; 13(01):898-906.
J. Udaya Prakash, S. Jebarose Juliyana, C. Sarala Rubi, S. Ananth, S. Jayavelu, N. Kumaran. Effect of Drilling Process Parameters on Surface Roughness of LM6/B4C/Fly Ash Hybrid Composites. Journal of Polymer and Composites. 2024; 13(01):898-906. Available from: https://journals.stmjournals.com/jopc/article=2024/view=188668
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Journal of Polymer & Composites
| Volume | 13 |
| Special Issue | 01 |
| Received | 02/08/2024 |
| Accepted | 26/10/2024 |
| Published | 10/12/2024 |
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