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Heat-Affected Zone Investigation During the Laser Beam Drilling of Hybrid Composite Using Statistical Approach

  • Akshay Jain
  • Bhagat Singh
  • Yogesh ShrivastavaEmail author
Research Article - Mechanical Engineering

Abstract

In the present work, basalt–glass hybrid composite has been fabricated and machined using laser beam drilling, to predict a safe machining zone pertaining to high drill quality with minimum heat-affected zone and maximum hole circularity. The prediction of the zone has been done by mathematical modeling using response surface methodology. The obtained zone has also been validated by performing more experiments. Moreover, the dependency of hole circularity and heat-affected zone on input parameters has also been discussed. From the results, it is evident that the obtained zone is capable of minimizing the heat-affected zone with acceptable hole circularity. Moreover, the behavior of input parameters is non-monotonic in nature.

Keywords

Hybrid composite Heat-affected zone Precise drilling Basalt–glass composite 

Notes

Acknowledgements

The authors are very grateful to Dr. B. N. Upadhayay, SOF, Solid State Division at the RRCAT (Raja Ramanna Centre for Advanced Technology), Indore (M.P), for providing the experimental support for this work.

References

  1. 1.
    Petrucci, R.; Nisini, E.; Ghelli, D.; Santulli, C.; Puglia, D.; Sarasini, F., et al.: Mechanical and impact characterisation of hybrid composite laminates based on flax, hemp, basalt and glass fibers produced by vacuum infusion. In: ECCM15, 15th European Conference on Composite Materials (2012)Google Scholar
  2. 2.
    Karataş, M.A.; Gökkaya, H.: A review on machinability of carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) composite materials. Def. Technol. 14, 318–326 (2018)CrossRefGoogle Scholar
  3. 3.
    Tsao, C.C.; Hocheng, H.: Taguchi analysis of delamination associated with various drill bits in drilling of composite material. Int. J. Mach. Tools Manuf. 44, 1085–1090 (2004)CrossRefGoogle Scholar
  4. 4.
    Hocheng, H.; Tsao, C.C.: Comprehensive analysis of delamination in drilling of composite materials with various drill bits. J. Mater. Process. Technol. 140, 335–339 (2003)CrossRefGoogle Scholar
  5. 5.
    Davim, J.P.; Rubio, J.C.; Abrao, A.M.: A novel approach based on digital image analysis to evaluate the delamination factor after drilling composite laminates. Compos. Sci. Technol. 67, 1939–1945 (2007)CrossRefGoogle Scholar
  6. 6.
    Gaugel, S.; Sripathy, P.; Haeger, A.; Meinhard, D.; Bernthaler, T.; Lissek, F.; et al.: A comparative study on tool wear and laminate damage in drilling of carbon-fiber reinforced polymers (CFRP). Compos. Struct. 155, 173–183 (2016)CrossRefGoogle Scholar
  7. 7.
    Abrate, S.: Machining of composite materials. In: Composites Engineering Handbook (A 98-11526 01-24), New York, Marcel Dekker, Inc. (Materials Engineering., vol. 11, pp. 777–810, 1997.Google Scholar
  8. 8.
    Faisal, N.; Zindani, D.; Kumar, K.; Bhowmik, S.: Laser micromachining of engineering materials: a review. In: Kumar, K., Zindani, D., Kumari, N., Davim, J.P. (eds.) Micro and Nano Machining of Engineering Materials: Recent Developments, pp. 121–136. Springer, Cham (2019)CrossRefGoogle Scholar
  9. 9.
    Solati, A.; Hamedi, M.; Safarabadi, M.: Combined GA-ANN approach for prediction of HAZ and bearing strength in laser drilling of GFRP composite. Opt. Laser Technol. 113, 104–115 (2019)CrossRefGoogle Scholar
  10. 10.
    Herzog, D.; Jaeschke, P.; Meier, O.; Haferkamp, H.: Investigations on the thermal effect caused by laser cutting with respect to static strength of CFRP. Int. J. Mach. Tools Manuf. 48, 1464–1473 (2008)CrossRefGoogle Scholar
  11. 11.
    Li, Z.L.; Zheng, H.Y.; Lim, G.C.; Chu, P.L.; Li, L.: Study on UV laser machining quality of carbon fibre reinforced composites. Compos. Part A: Appl. Sci. Manuf. 41, 1403–1408 (2010)CrossRefGoogle Scholar
  12. 12.
    Hejjaji, A.; Singh, D.; Kubher, S.; Kalyanasundaram, D.; Gururaja, S.: Machining damage in FRPs: Laser versus conventional drilling. Compos. Part A: Appl. Sci. Manuf. 82, 42–52 (2016)CrossRefGoogle Scholar
  13. 13.
    Lau, W.S.; Lee, W.; Pang, S.: Pulsed Nd: YAG laser cutting of carbon fibre composite materials. CIRP Ann. Manuf. Technol. 39, 179–182 (1990)CrossRefGoogle Scholar
  14. 14.
    Mathew, J.; Goswami, G.; Ramakrishnan, N.; Naik, N.: Parametric studies on pulsed Nd: YAG laser cutting of carbon fibre reinforced plastic composites. J. Mater. Process. Technol. 89, 198–203 (1999)CrossRefGoogle Scholar
  15. 15.
    Robinson, T.J.: Box–Behnken designs. In: Encyclopedia of Statistics in Quality and Reliability (2007)Google Scholar
  16. 16.
    Ferreira, S.C.; Bruns, R.; Ferreira, H.; Matos, G.; David, J.; Brandao, G.; et al.: Box–Behnken design: an alternative for the optimization of analytical methods. Anal. Chim. Acta 597, 179–186 (2007)CrossRefGoogle Scholar
  17. 17.
    Narayanasamy, P.; Selvakumar, N.: Effect of hybridizing and optimization of TiC on the tribological behavior of Mg–MoS2 composites. J. Tribol. 139, 051301 (2017)CrossRefGoogle Scholar
  18. 18.
    Ramkumar, T.; Narayanasamy, P.; Selvakumar, M.; Balasundar, P.: Effect of B4C reinforcement on the dry sliding wear behaviour of Ti-6Al-4V/B4C sintered composites using response surface methodology. Arch. Metall. Mater. 63, 1179–1200 (2018)Google Scholar
  19. 19.
    Shrivastava, P.K.; Singh, B.; Shrivastava, Y.; Pandey, A.K.: Prediction of geometric quality characteristics during laser cutting of Inconel-718 sheet using statistical approach. J. Braz. Soc. Mech. Sci. Eng. 41, 216 (2019)CrossRefGoogle Scholar
  20. 20.
    Shrivastava, Y.; Singh, B.: Assessment of stable cutting zone in CNC turning based on empirical mode decomposition and genetic algorithm approach. Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci. 232, 3573–3594 (2017)CrossRefGoogle Scholar
  21. 21.
    Shrivastava, Y.; Singh, B.: Estimation of stable cutting zone in turning based on empirical mode decomposition and statistical approach. J. Braz. Soc. Mech. Sci. Eng. 40, 77 (2018)CrossRefGoogle Scholar
  22. 22.
    Box, G.E.; Draper, N.R.: Empirical Model-Building and Response Surfaces. Wiley, London (1987)zbMATHGoogle Scholar
  23. 23.
    Myers, R.H.; Montgomery, D.C.; Anderson-Cook, C.M.: Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics). Wiley, New York (2009)zbMATHGoogle Scholar
  24. 24.
    Singh, B.; Nanda, B.: Slip damping mechanism in welded structures using response surface methodology. Exp. Mech. 52, 771–791 (2012)CrossRefGoogle Scholar
  25. 25.
    Singh, B.; Nanda, B.K.: Investigation into the effect of surface roughness on the damping of tack-welded structures using the response surface methodology approach. J. Vib. Control 19, 547–559 (2013)CrossRefGoogle Scholar

Copyright information

© King Fahd University of Petroleum & Minerals 2019

Authors and Affiliations

  1. 1.Mechanical Engineering DepartmentJaypee University of Engineering and TechnologyGunaIndia

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