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Javvadi Eswara Manikanta, B. Naga Raju, Chitrada Prasad, Naveen Kumar Gurajala, N Malleswararao Battina
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- Research Scholar, Professor, Assistant Professor, Assistant Professor, Assistant Professor, Trans-Disciplinary Research Hub, Department of Mechanical Engineering, Department of Physics, Aditya College of Engineering, Department of Mechanical Engineering, CMR College of Engineering and Technology, Department of Mechanical Engineering, Shri Vishnu Engineering College for Women, Andhra Pradesh, Andhra Pradesh, Andhra Pradesh, Hyderabad, Andhra Pradesh, India, India, India, India, India
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Abstract
nThe machining industry’s evolving environmental consciousness has prompted a growing demand for
cutting fluids devoid of chlorine and sulphur, thus fostering sustainable machining practices. This
surge in demand is driven by mounting apprehensions over environmental contamination and worker
safety. As the industry transitions to modern cutting fluids, it becomes imperative to comprehend their
effectiveness and the optimal machine parameters required for their deployment in the turning
process. In our current study, we employ the Taguchi technique in conjunction with Grey Relational
Analysis (GRA) to assess the efficacy of parameter optimization and its impact on the turning of SS
304 steel, utilizing non-toxic, biodegradable vegetable-based cutting fluids. Our investigation delves
into the influence of various process variables, including cooling conditions (CC), cutting speed (Vc),
feed rate (f), and depth of cut (a), on critical response parameters like Cutting Force (CF) and
Surface Roughness (SR). This is accomplished through rigorous Analysis of Variance (ANOVA) to
identify the parameters of significant influence. The study reveals that employing the Minimum
Quantity Lubrication (MQL) method at a cutting speed of 1000 revolutions per minute, a feed rate of
90 mm/minute, and a 0.3 depth of cut leads to substantial enhancements in machining performance.
The microstructure of the optimized sample is investigated through the use of a Scanning Electron
Microscope. Optimally, MQL machining at Vc 1000 rpm, f 90 mm/min, and a 0.3 mm minimized CF.
Additionally, the type of cutting coolant (CC), a, Vc, and f contributed 77.77%, 6.54%, 4.606%, and
2.328%, respectively, to CF reduction.
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Keywords: Eco friendly cutting fluids, Turning, Minimum Quantity Lubrication (MQL), Surface roughness, cutting force, Optimization.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Polymer and Composites(jopc)]
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| Volume | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | |
| Received | October 30, 2023 |
| Accepted | January 5, 2024 |
| Published |
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