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Enhancing machining performance of Inconel 825 alloy using grey relation analysis and JAYA-TLBO optimization techniques

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Abstract

The widespread application of Inconel alloy in the automotive and aerospace industries underscores the significance of optimizing machining parameters. This optimization is crucial for enhancing the performance outcomes of the machining process, directly impacting both product quality and cost-effectiveness. In machining operations, variables such as feed rate (f), cutting speed (S), and depth of cut (t) play pivotal roles. The resulting output performance indices of particular relevance include cutting force (Rf), material removal rate (MRR), and surface roughness (Ra). ANOVA has been done to find the influential variable on the output responses and it has been noticed that the ‘t’ was the most influential variable, followed by ‘f’ with respect to the Fr, Ra, and MRR during machining of Inconel 825. This study focuses on evaluating the overall process performance during the machining of Inconel 825 alloy. To achieve this, grey relation analysis is employed to transform multiple output variables into a unified response known as the overall grey relation index (OGI). Subsequently, a nonlinear regression model is developed, which expresses the OGI as a function of the aforementioned input variables. For the optimization process, the JAYA and TLBO algorithms are utilized, employing the OGI as the fitness function. The optimized settings determined are a feed rate of 0.333 mm/rev, a cutting speed of 247 RPM, and a depth of cut of 0.4 mm, resulting in an approximate fitness function value of 0.6982 for maximizing the OGI. To validate the solution, a confirmatory test is conducted, revealing an improvement of 1.9% in the OGI.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, Gujarat, India

    Anadh Gandhi & Kumar Abhishek

  2. Department of Mechanical Engineering, GLA University, Mathura, Uttar Pradesh, India

    Soni Kumari

  3. Department of Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana, India

    M. Sunil Kumar

  4. School of Business-PGDM (BM), Xavier School of Management-XLRI Jamshedpur, Jamshedpur, Jharkhand, India

    V. Rakesh Kumar

  5. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India

    Din Bandhu

  6. Department of Applied Sciences, New Horizon College of Engineering, Bangalore, India

    V. Revathi

  7. School of Mechanical Engineering, Lovely Professional University, Phagwara, India

    Ashish Kumar

  8. Faculty of Chemical Engineering, New Uzbekistan University, Tashkent, Uzbekistan

    Sherzod Abdullaev

  9. Department of Science and Innovation, Tashkent State Pedagogical University Named After Nizami, Tashkent, Uzbekistan

    Sherzod Abdullaev

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Gandhi, A., Kumari, S., Sunil Kumar, M. et al. Enhancing machining performance of Inconel 825 alloy using grey relation analysis and JAYA-TLBO optimization techniques. Int J Interact Des Manuf (2024). https://doi.org/10.1007/s12008-024-01810-5

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