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Multi-objective Optimization of CNC Drilling Parameters on Machining of HcHcr Steel Using Taguchi’s Technique and Grey Relational Analysis

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Advances in Thermal Engineering, Manufacturing, and Production Management (ICTEMA 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

In this present research paper, multi-objective optimization of CNC Drilling parameters on machining of HcHcr steel using Taguchi’s and GRA and work considered four input parameters (point angles, spindle speeds, feed rates, drills diameter) and two output parameters (surface roughness, delamination). Initially, experimentation is carried out using Taguchi’s (L27) orthogonal array, and multi-objective optimization is done with Taguchi’s based grey relational analysis. HSS twist drills are used for machining. Additionally, comparative analysis is carried out between single objective and multi-objective optimization technique and the result shows optimum combinations of drilling parameters using Taguchi’s method are 136° point angle (A3); 2700 RPM spindle speed (B3); 80 mm/min feed rate (C1) and 10 mm drill diameter (D2), i.e., A3B3C1D2 for surface roughness and 136° point angle (A3); 2700 RPM spindle speed (B3);80 mm/min feed rate (C1) and 10 mm drill diameter (D3), i.e., A3B3C1D3 for delamination. Furthermore, ANOVA analysis carried out to determine significant CNC drilling parameters and results shows spindle speeds (42.296%) is most significant process parameter used for surface roughness (SR) followed by feed rates (28.930%), drill diameters and point angles; spindle speed (64.4247%) is most significant parameter for delamination subsequently feed rates (19.832%) drill diameters and point angles and spindle speed (60.095%) is most significant for multi-objective optimization subsequently feed rates (26.94%) drills diameter and point angles.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Bengal College of Engineering and Technology, Durgapur, 713212, West Bengal, India

    Sandeep Kumar

  2. Department of Mechanical Engineering, National Institute of Technology, Raipur, Chhattisghar, 492010, India

    Jagadish

  3. Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, 735102, India

    Amitava Ray

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  1. Sandeep Kumar
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  2. Jagadish
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  3. Amitava Ray
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Editor information

Editors and Affiliations

  1. Department of Production Engineering and Management, Jadavpur University, Kolkata, West Bengal, India

    Sadhan Kumar Ghosh

  2. Department of Thermal Engineering, Jadavpur University, Kolkata, West Bengal, India

    Koushik Ghosh

  3. Kalyani Government Engineering College, Kalyani, West Bengal, India

    Santanu Das

  4. Department of Production Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Pranab Kumar Dan

  5. Department of Thermal Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

    Arijit Kundu

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Kumar, S., Jagadish, Ray, A. (2021). Multi-objective Optimization of CNC Drilling Parameters on Machining of HcHcr Steel Using Taguchi’s Technique and Grey Relational Analysis. In: Ghosh, S.K., Ghosh, K., Das, S., Dan, P.K., Kundu, A. (eds) Advances in Thermal Engineering, Manufacturing, and Production Management. ICTEMA 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-2347-9_31

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  • DOI: https://doi.org/10.1007/978-981-16-2347-9_31

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  • Online ISBN: 978-981-16-2347-9

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