Skip to main content
SpringerLink
Log in

Multiresponse Optimization for Laser-Assisted Machining of Fused Silica Using Response Surface Methodology

  • Original Paper
  • Published:
Silicon Aims and scope Submit manuscript

Abstract

Fused silica is difficult to machine using conventional machining methods mainly owing to its high brittleness and strength. Laser-assisted machining (LAM) provides desirable process for machining of fused silica. It was necessary to find the optimal machining condition during the LAM process. In this study, the regression models of the surface roughness and cutting force have been developed using Response Surface Methodology (RSM). Multiresponse optimization and composite desirability method were used to determine the optimum machining parameters. The experimental confirmed that the percentage errors of the regression models were within the permissible limits. It was also found that the high value of pulse duty ratio of laser corresponding to a better machining performance in the LAM of fused silica.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Hawleyfedder RA, Stolz CJ, Menapace JA, Borden MR, Yu J, Runkel MJ, Feit MD (2004) NIF optical materials and fabrication technologies: an overview, proceedings of SPIE - the. Int Soc Opt Eng 5341:102–105

    Google Scholar 

  2. Zhou C, Zhang Q, He C, Li Y (2014) Function of liquid and tool wear in ultrasonic bound-abrasive polishing of fused silica with different polishing tools. Optik 125:4064–4068

    Article  CAS  Google Scholar 

  3. Ding H, Shin YC (2013) Improvement of machinability of Waspaloy via laser-assisted machining. Int J Adv Manuf Technol 64:475–486

    Article  Google Scholar 

  4. Rozzi JC, Pfefferkorn FE, Shin YC, Incropera FP (2000) Experimental evaluation of the laser assisted machining of silicon nitride ceramics. J Manuf Sci E T ASME 122:666–670

    Article  Google Scholar 

  5. Lei S, Shin YC, Incropera FP (2001) Experimental investigation of thermo-mechanical characteristics in laser-assisted machining of silicon nitride ceramics. J Manuf Sci E T ASME 123:639–646

    Article  Google Scholar 

  6. Rebro PA, Shin YC, Incropera FP (2004) Design of operating conditions for crackfree laser-assisted machining of mullite. Int J Mach Tools Manuf 44:677–694

    Article  Google Scholar 

  7. Pfefferkorn FE, Shin YC, Tian Y, Incropera FP (2004) Laser-assisted machining of magnesia-partially-stabilized zirconia. J Manuf Sci Eng 126:42–51

    Article  Google Scholar 

  8. Kim J, Lee S, Suh J (2011) Characteristics of laser assisted machining for silicon nitride ceramic according to machining parameters. J Mech Sci Technol 25:995–1001

    Article  Google Scholar 

  9. Roostaei H, Movahhedy MR (2016) Analysis of heat transfer in laser assisted machining of slip cast fused silica ceramics. Procedia CIRP 46:571–574

    Article  Google Scholar 

  10. Anderson M, Patwa R, Shin YC (2006) Laser-assisted machining of Inconel 718 with an economic analysis. Int J Mach Tool Manu 46:1879–1891

    Article  Google Scholar 

  11. Zhao F, Bernstein WZ, Naik G, Cheng GJ (2010) Environmental assessment of laser assisted manufacturing: case studies on laser shock peening and laser assisted turning. J Clean Prod 18:1311–1319

    Article  CAS  Google Scholar 

  12. Anderson MC, Shin YC (2006) Laser-assisted machining of an austenitic stainless steel: P550. Proc Inst Mech Eng B J Eng Manuf 220:2055–2067

    Article  CAS  Google Scholar 

  13. Wang Y, Yang LJ, Wang NJ (2002) An investigation of laser-assisted machining of Al2O3 particle reinforced aluminum matrix composite. J Mater Process Technol 129:268–272

    Article  CAS  Google Scholar 

  14. Bejjani R, Shi B, Attia H, Balazinski M (2011) Laser assisted turning of titanium metal matrix composite. CIRP Ann Manuf Technol 60:61–64

    Article  Google Scholar 

  15. Przestacki D (2014) Conventional and laser assisted machining of composite A359/20SiCp. Procedia CIRP 14:229–233

    Article  Google Scholar 

  16. Makadia AJ, Nanavati JI (2013) Optimisation of machining parameters for turning operations based on response surface methodology. Measurement 46:1521–1529

    Article  Google Scholar 

  17. Chang C, Kuo C (2007) Evaluation of surface roughness in laser-assisted machining of aluminum oxide ceramics with Taguchi method. Int J Mach Tools Manuf 47:141–147

    Article  Google Scholar 

  18. Kong X, Yang L, Zhang H, Chi G, Wang Y (2016) Optimization of surface roughness in laser-assisted machining of metal matrix composites using Taguchi method. Int J Adv Manuf Technol 85(1–14):365–379

    Article  Google Scholar 

  19. Attia H, Tavakoli S, Vargas R, Thomson V (2010) Laser-assisted high-speed finish turning of superalloy Inconel 718 under dry conditions. CIRP Ann Manuf Technol 59:83–88

    Article  Google Scholar 

  20. Przestacki D, Szymanski P, Wojciechowski S (2016) Formation of surface layer in metal matrix composite A359/20SiCP during laser assisted turning. Compos A: Appl Sci Manuf 91:370–379

    Article  CAS  Google Scholar 

  21. Venkatesan K, Ramanujam R (2016) Statistical approach for optimization of influencing parameters in laser assisted machining (LAM) of Inconel alloy. Measurement 89:97–108

    Article  Google Scholar 

  22. Kim D, Lee C (2014) A study of cutting force and preheating-temperature prediction for laser-assisted milling of Inconel 718 and AISI 1045 steel. Int J Heat Mass Transf 71:264–274

    Article  CAS  Google Scholar 

  23. Masood SH, Armitage K, Brandt M (2011) An experimental study of laser-assisted machining of hard-to-wear white cast iron. Int J Mach Tools Manuf 51:450–456

    Article  Google Scholar 

  24. Sun S, Harris J, Brt M (2010) Parametric investigation of laser-assisted machining of commercially pure titanium. Adv Eng Mater 10:565–572

    Article  Google Scholar 

  25. Rahman Rashid RA, Sun S, Wang G, Dargusch MS (2012) An investigation of cutting forces and cutting temperatures during laser-assisted machining of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy. Int J Mach Tools Manuf 63:58–69

    Article  Google Scholar 

  26. Venkatesan K, Ramanujam R, Kuppan P (2016) Parametric modeling and optimization of laser scanning parameters during laser assisted machining of Inconel 718. Opt Laser Technol 78:10–18

    Article  CAS  Google Scholar 

  27. Kilickap E (2010) Modeling and optimization of burr height in drilling of Al-7075 using Taguchi method and response surface methodology. Int J Adv Manuf Technol 49:911–923

    Article  Google Scholar 

  28. Aggarwal A, Singh H, Kumar P, Singh M (2008) Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi's technique—a comparative analysis. J Mater Process Technol 200:373–384

    Article  CAS  Google Scholar 

  29. Venkatesan K, Ramanujam R, Kuppan P (2014) Laser assisted machining of difficult to cut materials: research opportunities and future directions - a comprehensive review. Procedia Eng 97:1626–1636

    Article  Google Scholar 

  30. Song H, Dan J, Chen X, Xiao J, Xu J (2018) Experimental investigation of machinability in laser-assisted machining of fused silica. Int J Adv Manuf Technol 97:267–278

    Article  Google Scholar 

  31. Song H, Dan J, Li J, Du J, Xiao J, Xu J (2019) Experimental study on the cutting force during laser-assisted machining of fused silica based on the Taguchi method and response surface methodology. J Manuf Process 38:9–20

    Article  Google Scholar 

  32. Box GEP, Wilson KB (1951) On the experimental attainment of optimum conditions. J R Stat Soc 13:1–45

    Google Scholar 

  33. Yildiz G, Tunali S (2008) Response surface methodology based simulation optimization of a CONWIP controlled dual resource constrained system. Int J Adv Manuf Technol 36:1051–1060

    Article  Google Scholar 

  34. Gopalakannan S, Senthilvelan T (2013) Application of response surface method on machining of Al?SiC nano-composites. Measurement 46:2705–2715

    Article  Google Scholar 

  35. Sar Kaya M, Ll AG (2014) Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL. J Clean Prod 65:604–616

    Article  Google Scholar 

  36. Lei S, Pfefferkorn F (2007) A review on thermally assisted machining: ASME 2007 International Manufacturing Science and Engineering Conference, pp. 325–336

  37. Derringer G (1980) Simultaneous optimization of several response variables. J Qual Technol 12:214–219

    Article  Google Scholar 

  38. Natarajan U, Periyanan P, Yang SH (2011) Multiple-response optimization for micro-endmilling process using response surface methodology. Int J Adv Manuf Technol 56:177–185

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (grant no. 51627807). The authors thank the Analytical and Testing Center of Huazhong University of Science and Technology. The authors also thankful to Pengfei Pan and Zuohui Yang for providing help for the measurement of surface roughness of the workpiece for research work.

Author information

Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Huawei Song, Jinqi Dan, Jing Du, Guoqi Ren, Junfeng Xiao & Jianfeng Xu

Authors
  1. Huawei Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinqi Dan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jing Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guoqi Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Junfeng Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jianfeng Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jianfeng Xu.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, H., Dan, J., Du, J. et al. Multiresponse Optimization for Laser-Assisted Machining of Fused Silica Using Response Surface Methodology. Silicon 11, 3049–3063 (2019). https://doi.org/10.1007/s12633-019-00101-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12633-019-00101-z

Keywords

Search

Navigation