Skip to main content
SpringerLink
Log in

Nd:YAG Laser Cutting of Ni-Based Superalloy Thin Sheet: Experimental Modeling and Process Optimization

  • Conference paper
  • First Online:
Application of Lasers in Manufacturing

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Abstract

Nickel-based superalloys are extensively used in modern manufacturing industries like aerospace and missile industries due to their exceptional mechanical properties at elevated temperatures. Nickel-based superalloy sheets in general and Inconel 718 sheet, in particular, are used for casing of jet engines, aeroengine turbine blades, and pump bodies and parts. Among various advanced sheet cutting processes (ASCPs), laser beam cutting (LBC) is the most suitable process for cutting of Inconel 718 thin sheet. In this chapter, experimental modeling and optimization of Nd:YAG laser cutting of Inconel 718 thin sheet have been carried out. In these studies, top kerf width (TKW), bottom kerf width (BKW), and top kerf deviation (TKD) are considered as cut quality characteristics. The laser cutting parameters considered are oxygen pressure (OP), pulse width (PW), pulse frequency (PF), and cutting speed (CS) for the study. The experimental models have been developed by using the artificial neural network (ANN) technique. Finally, the process has been optimized using genetic algorithm (GA) and grey relational analysis (GRA).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bezerra, M., Santelli, R., Oliveira, E., Villar, L., Escaleira, L.: Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 76, 965–977 (2008)

    Article  Google Scholar 

  • Caydas, U., Hascalik, A.: Use of grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristic. Opt. Laser Technol. 40 (7), 987–94 (2008)

    Google Scholar 

  • Chiang, K.T., Chang, F.P.: Optimization of the WEDM process of particle reinforced material with multiple performance characteristics using grey relational analysis. J. Mater. Process. Technol. 180, 96–101 (2006)

    Article  Google Scholar 

  • Chryssolouris, G.: Laser Machining Theory and Practice (Mechanical Engineering Series). Springer, New York (1991)

    Google Scholar 

  • Ciurana, J., Arias, G., Ozel, T.: Neural network modelling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISIH 13 steel. Mater. Manuf. Process 24, 358–368 (2009)

    Article  Google Scholar 

  • Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithm. Wiley, Chichester (2002)

    Google Scholar 

  • Deng, J.L.: Introduction to grey system. Journal of Grey System 1(1), 1–24 (1989)

    MathSciNet  MATH  Google Scholar 

  • Dhara, S.K., Kaur, A.S., Mitra, S.: An artificial neural network approach on parametric optimization of laser micromachining of die-steel. International Journal of Advanced Manufacturing and Technology 39, 39–46 (2008)

    Article  Google Scholar 

  • Dhupal, D., Doloi, B., Bhattacharyya, B.: Modelling and optimization on Nd:YAG laser turned micro-grooving of cylindrical ceramic material. Opt. Lasers Eng. 47, 917–925 (2009)

    Article  Google Scholar 

  • Dubey, A.K., Yadava, V.: Multi-objective optimization of Nd-YAG laser cutting of nickel-based superalloy sheet using orthogonal array with principal component analysis. Opt. Laser Eng. 46, 124–132 (2008a)

    Article  Google Scholar 

  • Dubey, A.K., Yadava, V.: Multi-objective optimization of laser beam cutting process. Opt. Laser Technol. 40, 562–570 (2008b)

    Google Scholar 

  • Ghany, K.A., Newishy, M.: Cutting of 1.2 mm thick austenitic stainless steel sheet using pulsed and CW Nd: YAG laser. J. Mater. Process Technol. 168, 438–447 (2005)

    Article  Google Scholar 

  • Ghoreishi, M., Nakhjavani, O.B.: Optimization of effective factors in geometrical specifications of laser percussion drilled holes. J. Mater. Process. Technol. 196, 303–310 (2008)

    Article  Google Scholar 

  • Goldberg, D.E.: Genetic Algorithm in Search, Optimization and Machine Learning., Wisley, New York (2006)

    Google Scholar 

  • Hassoun, M. H.: Fundamental of Artificial Neural Networks. New Delhi (1998)

    Google Scholar 

  • Haykin, S.: Neural Network a Comprehensive Foundation. MacMillan Publishing Company (1994)

    Google Scholar 

  • Holland, J.H., Goldberg, D.: Genetic Algorithms in Search Optimization and Machine Learning. Wisley, New York (1989)

    Google Scholar 

  • Ion, J.C.: Laser Processing on Engineering Materials (Principles, Procedure and Industrial Application). Elsevier Butterworth-Heinemann, Burlington (2005)

    Google Scholar 

  • Kalpakjian, S., Schmid, S.R.: Manufacturing engineering and technology, Addison Wesley Private Limited, Delhi (2000)

    Google Scholar 

  • Kumar, S., Dubey, A.K., Pandey, A.K.: Computer-aided genetic algorithm based multi-objective optimization of laser trepan drilling. Int. J. Precise Eng. Manuf. 14, 1119–1125 (2013)

    Article  Google Scholar 

  • Kuo, Y., Yang, T., Huang, G.W.: The use of grey relational analysis in solving multiple attribute decision making problems. Comput. Ind. Eng. 55, 80–93 (2008)

    Article  Google Scholar 

  • Lin, J.L., Lin, C.L.: The use of orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple quality characteristics. Int. J. Mach. Tools Manuf. 42(2), 237–244 (2002)

    Article  Google Scholar 

  • Luttervelt, C.A.V., Childs, T.H.C., Jawahir, I.S., Klocke, F., Venuvinod, P.K.: Present situation and future trends in modelling of machining operations. Ann. CIRP 47(2), 587–626 (1998)

    Article  Google Scholar 

  • Mishra, S., Yadava, V.: Prediction of hole characteristics and hole productivity during pulsed Nd-YAG laser beam percussion drilling. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 227(4), 494–507 (2013a)

    Article  Google Scholar 

  • Mishra, S., Yadava, V.: Modelling and optimization of laser beam percussion drilling of thin aluminium sheet. Opt. Laser Technol. 48, 461–474 (2013b)

    Article  Google Scholar 

  • Nakhjavani, O.B., Ghoreishi, M.: Multi criteria optimization of laser percussion drilling process using artificial neural network model combined with genetic algorithm. Mater. Manuf. Process. 21, 11–18 (2006)

    Article  Google Scholar 

  • Pan, L.K., Wang, C.C., Wei, S., Sher, H.F.: Optimizing multiple quality characteristics via Taguchi method-based Grey analysis. J. Mater. Process. Technol. 182, 107–116 (2007)

    Article  Google Scholar 

  • Pandey, A.K., Dubey, A.K.: Modelling and optimization of kerf taper and surface roughness in laser cutting of titanium alloy sheet. J. Mech. Sci. Technol. 27, 2115–2124 (2013)

    Article  Google Scholar 

  • Phadke, M.S.: Quality Engineering Using Robust Design. Prentice-Hall, Englewood Cliffs, New Jersey (1989)

    Google Scholar 

  • Rajasekaran, S., Pai, G.A.V.: Neural Network, Fuzzy Logic and Genetic Algorithm. New Delhi (2003)

    Google Scholar 

  • Rao, R., Yadava, V.: Multi-objective optimization of Nd-YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement. Opt. Laser Technol. 41(8), 922–930 (2009)

    Article  Google Scholar 

  • Rao, R.V.: Advanced Modelling and Optimization of Manufacturing Processes: International Research and Development. Springer, London (2011)

    Book  Google Scholar 

  • Rao, S.S.: Engineering Optimization: Theory and Practice. New Age International Publishers, New Delhi (2001)

    Google Scholar 

  • Sharma, A., Yadava, V.: Modelling and optimization of cut quality characteristics for pulsed Nd-YAG laser curved profile cutting of Ni-based superalloy thin sheet. Lasers Eng. 31, 351–382 (2015)

    Google Scholar 

  • Sharma, A., Yadava, V.: Optimization of cut quality characteristics during Nd-YAG laser straight cutting of Ni-based superalloy thin sheet using grey relational analysis with entropy measurement. Mater. Manuf. Process. 26, 1–8 (2011)

    Article  Google Scholar 

  • Sharma, A., Yadava, V.: Experimental analysis of Nd-YAG laser cutting of sheet materials-A review. Opt. Laser Technol. 98, 264–280 (2018)

    Article  Google Scholar 

  • Steen, W.M.: Laser Material Processing. Springer, New York (1991)

    Book  Google Scholar 

  • Thawari, G., Sarin Sundar, J.K., Sundararajan, G., Joshi, S.V.: Influence of process parameters during pulsed Nd-YAG laser cutting of nickel-base super alloys. J. Mater. Process Technol. 170, 229–239 (2005)

    Article  Google Scholar 

  • Yousef, B.F., Knopf, G.K., Bordatchev, E.V., Nikumb, S.K.: Neural network modelling and analysis of the material removal process during laser machining. Int. J. Adv. Manuf. Technol. 22, 41–53 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Jaypee University of Engineering and Technology, A-B Road, Raghogarh, Guna, 473226, Madhya Pradesh, India

    P. Joshi, A. Sharma & Y. K. Modi

  2. Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Allahabad, 211004, Uttar Pradesh, India

    V. Yadava

Authors
  1. P. Joshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. Yadava
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Y. K. Modi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Sharma .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Uday Shanker Dixit

  2. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Shrikrishna N. Joshi

  3. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Joshi, P., Sharma, A., Yadava, V., Modi, Y.K. (2019). Nd:YAG Laser Cutting of Ni-Based Superalloy Thin Sheet: Experimental Modeling and Process Optimization. In: Dixit, U., Joshi, S., Davim, J. (eds) Application of Lasers in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0556-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0556-6_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0555-9

  • Online ISBN: 978-981-13-0556-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation