Soft computing for sustainable drilling of AISI 316L stainless steel under formulated neem oil minimum quantity lubrication condition

C.P. Natesh; Y.M. Shashidhara; H.J. Amarendra; Raviraj Shetty; Rajesh Nayak; S. V. UdayKumar Shetty; Madhukara Nayak; Adithya Hegde

doi:10.1080/23311916.2023.2261231

Cogent Engineering (Dec 2023)

Soft computing for sustainable drilling of AISI 316L stainless steel under formulated neem oil minimum quantity lubrication condition

C.P. Natesh,
Y.M. Shashidhara,
H.J. Amarendra,
Raviraj Shetty,
Rajesh Nayak,
S. V. UdayKumar Shetty,
Madhukara Nayak,
Adithya Hegde

Affiliations

C.P. Natesh: Department of Automobile Engineering, Malnad College of Engineering, Hassan, India
Y.M. Shashidhara: Department of Automobile Engineering, Malnad College of Engineering, Hassan, India
H.J. Amarendra: Department of Mechanical Engineering, Malnad College of Engineering, Hassan, India
Raviraj Shetty: Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Rajesh Nayak: Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
S. V. UdayKumar Shetty: Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Madhukara Nayak: Mechanical Engineering Department, Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal, India
Adithya Hegde: Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

DOI: https://doi.org/10.1080/23311916.2023.2261231
Journal volume & issue: Vol. 10, no. 2

Abstract

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AbstractThis paper discusses about process input optimization to obtain desired output characteristics such as Surface Roughness (microns), Thrust Force (N) and Torque (N-m) during drilling of AISI 316 L Stainless Steel under minimum quantity formulated neem oil lubrication condition based on Taguchi Design of Experiments (TDOE), Response Surface Methodology (RSM) and Desirability Functional Analysis (DFA) by varying flow rate (ml.min−1), stand-off distance (mm), flow pressure (Bar) and nozzle exit diameter (mm). Formulated Neem Oil possesses natural lubricating properties that reduce friction and heat generation, thus prolonging the tool life and improving surface finish. Additionally, it is biodegradable and environmentally friendly, making it a sustainable choice for machining operations. From the experimental investigation using TDOE, it was observed that there was considerable improvement in thrust force, surface roughness and torque with modified neem oil as a lubricant. Further, plot for main effects and Analysis of Variance (ANOVA) are successfully used to identify the optimum process input parameters and their percentage of contribution (P%) on output parameters. RSM is successfully used to generate a second order mathematical model which can be effectively used to analyze the process parameters. Further, from Desirability Functional Analysis (DFA), minimum surface roughness (0.34 microns), thrust force (1292.37 N) and torque (14.71 N-m) value were predicted. Finally, Back Propagation Artificial Neural Network (BPANN) analysis has been adopted to predict the surface roughness, thrust force and torque with a minimal error of 1.46%, 0.017% & 0.17%, respectively. The adoption of Neem oil formulations has been successful in improving machining characteristics. Its versatility across an array of machining processes and materials, in tandem with the global momentum toward greener manufacturing paradigms, positions it as a promising lubricant for various machining practices.

Published in Cogent Engineering

ISSN: 2331-1916 (Online)
Publisher: Taylor & Francis Group
Country of publisher: United Kingdom
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: https://www.tandfonline.com/journals/oaen

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