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Investigation of Micromachining on CNC

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Emerging Trends in Science, Engineering and Technology

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

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Abstract

This paper presents a method for material removal in micron level with high accuracy and surface finish using a CNC machine. In this work, commercially available pure aluminum 19,000 rods are micro-machined with TNMG 1,60,404 (TiN) Inserts, as cutting tool. The Al19000 rod is electroplated with Nickel for plating thickness of 21.5 μm. While machining the actual material removed is the difference between the depth of cut given and the electroplating thickness. Since the electroplating thickness is less than 100 μm and minimum possible depth of cut given is 100 μm, the actual work-piece metal removal is in the order of microns. Thus micromachining is achieved using CNC turning machine. The experiments were conducted with various combinations of cutting speed, feed, and depth of cut. Performance responses such as Surface Roughness (SR) and Metal Removal (MR) for different conditions were measured and reported. Optimum machining conditions were identified. The machined surface was viewed using Scanning Electron Microscope (SEM) and SEM image were correlated with micro scratches, worn surface, dirty layer formed for different cutting condition.

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References

  1. Taguchi N (1993) Current status in, and future trends of ultraprecision machining and ultrafine materials processing. Ann CIRP 32(2):573–582

    Article  Google Scholar 

  2. Madou M (1997) Fundamentals of micro fabrication. CRC Press, Ohio

    Google Scholar 

  3. Corbett J, McKeon PA, Peggs GN, Whatmore R (2000) Nanotechnology, international developments and emerging products. Ann CIRP 49(3):473–478

    Google Scholar 

  4. McGeough JA (2002) Micromachining of engineering materials. Dekker, NY

    Google Scholar 

  5. Gowri S, Ranjith Kumar P, Vijayaraj R, Balan ASS (2007) Micromachining: technology for the future. Int J Mater Struct Integrity 1(2/3):161–179

    Article  Google Scholar 

  6. Ranjith Kumar P, Balan ASS, Gowri S (2010) Monitoring and prediction of tool wear in micro turning of copper. Int J Precision Technol, 1: 3/4

    Google Scholar 

  7. Rahman MA, Rahman M, Senthil Kumar A, Lim HS, Asad ABMA (2006) Development of micro pin fabrication process using tool based micromachining. Int J Adv Manuf Technol 27:939–944

    Article  Google Scholar 

  8. Frazier AB, Allen MG (1997) Uses of electroplated aluminum for the development of microstructures and micromachining processes, J Micro Electromechanical Syst, 6: 2

    Google Scholar 

  9. Choudhury IA, EI-Baradie MA (1997) Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J Mater Process Technol 67(1–3):55–61

    Article  Google Scholar 

  10. Pawade RS, Suhas S, Joshi (2011) Multi-objective optimization of surface roughness and cutting forces in high-speed turning of inconel 718 using Taguchi grey relational analysis (TGRA), Int J Adv Manuf Technol 56:47–62

    Google Scholar 

  11. Oezel T, Karpat Y (2005) Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks int. J Mach Tools Manuf 45(4–5):467–479

    Article  Google Scholar 

  12. Bharathi Raja S, Baskar S (2011) Particle swarm optimization technique for determining optimal machining parameters of different work piece materials in turning operation’. Int J Adv Manuf Technol 54:445–463

    Article  Google Scholar 

  13. Cakir MC, Gurarda A (1998) Optimization and graphical representation of machining conditions in multi-pass turning operations. Comput Integr Manuf Syst 11:157–170

    Article  Google Scholar 

  14. Meng Q, Arsecularratne JA, Mathew P (2000) Calculation of optimum cutting conditions for turning operations using a machining theory. Int J Mach Tools Manuf 40:1709–1733

    Article  Google Scholar 

  15. Singh D, Rao PV (2007) A surface roughness prediction model for hard turning process. Int J Adv Manuf Technol 32:1115–1124

    Article  Google Scholar 

  16. Ross P (1988) Taguchi techniques for quality engineering-loss function, orthogonal experiments parameter and tolerance design. McGraw Hill, NY, pp 10–50

    Google Scholar 

  17. Taguchi G, Konishi S (1987) Taguchi methods, orthogonal arrays and linear graphs, tools for quality engineering. Am Supplier Inst,  pp 35–38

    Google Scholar 

  18. Taguchi G (1993) Taguchi on robust technology development methods. ASME, New York, pp 1–40

    Google Scholar 

  19. Yang W, Tarng Y (1998) Design optimization of cutting parameters for turning operations based on the Taguchi method. J Mater Process Technol 84:122–129

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Production Engineering, JJ College of Engineering and Technology, Tiruchirappalli, Tamilnadu, India

    D. Rajkumar

  2. Department of Mechanical Engineering, MAM School of Engineering, Sriganur, Tamilnadu, India

    P. Ranjithkumar

  3. Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, India

    C. Sathiyanarayanan

Authors
  1. D. Rajkumar
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  2. P. Ranjithkumar
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  3. C. Sathiyanarayanan
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Corresponding author

Correspondence to D. Rajkumar .

Editor information

Editors and Affiliations

  1. J.J. College of Engg and Technology, Ammapettai, Poolangulathupatti – Post, Tiruchirappalli, 620009, India

    S Sathiyamoorthy

  2. , Dept of Electronics & Communication Engg, J.J. College of Engg and Technology, Ammapettai, Tiruchirappalli, 620009, India

    B. Elizabeth Caroline

  3. , Dept. of Computer Applications, J.J. College of Engg and Technology, Ammapettai, Tiruchirappalli, 620009, India

    J Gnana Jayanthi

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© 2012 Springer India

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Rajkumar, D., Ranjithkumar, P., Sathiyanarayanan, C. (2012). Investigation of Micromachining on CNC. In: Sathiyamoorthy, S., Caroline, B., Jayanthi, J. (eds) Emerging Trends in Science, Engineering and Technology. Lecture Notes in Mechanical Engineering. Springer, India. https://doi.org/10.1007/978-81-322-1007-8_22

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  • DOI: https://doi.org/10.1007/978-81-322-1007-8_22

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1006-1

  • Online ISBN: 978-81-322-1007-8

  • eBook Packages: EngineeringEngineering (R0)

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