Skip to main content

Modelling and Optimization of Laser Additive Manufacturing Process of Ti Alloy Composite

  • Chapter
  • First Online:
Optimization of Manufacturing Processes

Abstract

Laser metal deposition process is one of the important processes of additive manufacturing technology which is used for the production of end-use parts as well as repair of worn-out high valued engineered parts. The functional performance of laser metal deposition process is greatly dependent on its process parameters; therefore, considering the type of job and nature of material, they need to be adequately optimized before a job can be successfully carried out and with the desired properties. The processing parameters that govern the laser metal deposition process include: the laser power, the scanning speed, the powder flow rate and the gas flow rate. A lot of interactions exist among these processing parameters that make the careful optimization of the processing parameters an important task. In this chapter, modelling of laser metal deposition process of metal alloys and composites is presented. The chapter consist of an in depth review of literature on this subject in the introduction (Sect. 1). Optimization of process parameters for laser metal deposition of titanium alloy is presented in Sect. 2. A case study on statistical modelling of titanium alloy composite and process parameters optimization is presented in Sect. 3. The chapter ends with the summary in Sect. 4.

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

Access this chapter

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

  1. Mahamood RM, Akinlabi ET, Owolabi MG (2017) Laser metal deposition process for product remanufacturing. In: Gupta K (ed) Advanced manufacturing technologies. Springer, Switzerland, pp 267–291

    Chapter  Google Scholar 

  2. Mahamood MR, Akinlabi ET (2017) Functionally graded materials. Springer Science Publisher, Switzerland

    Book  Google Scholar 

  3. Mahamood RM, Akinlabi ET (2015) Effect of processing parameters on wear resistance property of laser material deposited titanium-alloy composite. J Optoelectron Adv Mater (JOAM) 17(9–10):1348–1360

    Google Scholar 

  4. Mahamood RM, Akinlabi ET (2015) Laser metal deposition of functionally graded Ti6Al4V/TiC. Mater Des 84:402–410

    Article  Google Scholar 

  5. Mahamood RM, Akinlabi ET, Shukla M, Pityana S (2014) Revolutionary additive manufacturing: an overview. Lasers Eng 27:161–178

    Google Scholar 

  6. Francois MM, Sun A, King WE, Henson NJ, Tourret D, Bronkhorst CA, Carlson NN, Newman CK, Haut T, Bakosi J, Gibbs JW, Livescu V, Vander Wiel SA, Clarke AJ, Schraad MW, Blacker T, Lim H, Rodgers T, Owen S, Abdeljawad F, Madison J, Anderson AT, Fattebert J-L, Ferencz RM, Hodge NE, Khairallah SA, Walton O (2017) Modeling of additive manufacturing processes for metals: challenges and opportunities. Curr Opin Solid State Mater Sci 21:198–206

    Article  Google Scholar 

  7. Criales LE, Arısoy YM, Özel1 T (2016) Sensitivity analysis of material and process parameters in finite element modeling of selective laser melting of Inconel 625. Int J Adv Manuf Technol 86:2653–2666

    Article  Google Scholar 

  8. Yadroitsev I, Thivillon L, Betrand P, Smurov I (2007) Strategy of manufacturing components with designed internal structure by selective laser melting of metallic powder. Appl Surf Sci 254:980–983

    Article  Google Scholar 

  9. Verma A, Rai R (2017) Sustainability-induced dual-level optimization of additive manufacturing process. Int J Adv Manuf Technol 88:1945–1959

    Article  Google Scholar 

  10. Acharya R, Das S (2015) Additive manufacturing of IN100 superalloy through scanning laser epitaxy for turbine engine hot-section component repair: process development, modeling, microstructural characterization, and process control. Metall Mater Trans A 46a:3864–3875

    Article  Google Scholar 

  11. Bikas H, Stavropoulos P, Chryssolouris G (2016) Additive manufacturing methods and modelling approaches: a critical review. Int J Adv Manuf Technol 83:389–405

    Article  Google Scholar 

  12. Stender ME, Beghini LL, Sugar JD, Veilleux MG, Subia SR, Smith TR, San Marchi CW, Brown AA, Dagel DJ (2018) A thermal-mechanical finite element workflow for directed energy deposition additive manufacturing process modelling. Addit Manuf. https://doi.org/10.1016/j.addma.2018.04.012

    Article  Google Scholar 

  13. Tapia G, Elwany AH, Sang H (2016) Prediction of porosity in metal-based additive manufacturing using spatial Gaussian process models. Addit Manuf 12:282–290

    Article  Google Scholar 

  14. Lee J, Prabhu V (2016) Simulation modeling for optimal control of additive manufacturing processes. Addit Manuf 12:197–203

    Article  Google Scholar 

  15. Foteinopoulos P, Papacharalampopoulos A, Stavropoulos P (2018) On thermal modeling of additive manufacturing processes. CIRP J Manuf Sci Technol 20:66–83

    Article  Google Scholar 

  16. Conti P, Cianetti F, Pilerci P (2018) Parametric finite element model of SLM additive manufacturing process. Procedia Struct Integrity 8:410–421

    Article  Google Scholar 

  17. Baturynskaa I, Semeniutaa O, Martinsena K (2018) Optimization of process parameters for powder bed fusion additive manufacturing by combination of machine learning and finite element method: a conceptual framework. Procedia CIRP 67:227–232

    Article  Google Scholar 

  18. Xiao Z, Yang Y, Xiao R, Bai Y, Song C, Wang Di (2018) Evaluation of topology-optimized lattice structures manufactured via selective laser melting. Mater Des 143:27–37

    Article  Google Scholar 

  19. Bonada J, Muguruza A, Fernández-Francos X, Ramis X (2018) Optimisation procedure for additive manufacturing processes basedon mask image projection to improve Z accuracy and resolution. J Manuf Processes 31:689–702

    Article  Google Scholar 

  20. Zinovieva O, Zinoviev A, Ploshikhin V (2018) Three-dimensional modeling of the microstructure evolution during metal additive manufacturing. Comput Mater Sci 141:207–220

    Article  Google Scholar 

  21. Thompson MK, Stolf A, Mischkot M (2016) Process chain modeling and selection in an additive manufacturing context. CIRP J Manuf Sci Technol 12:25–34

    Article  Google Scholar 

  22. Mahamood MR (2018) Laser metal deposition process of metals, alloys, and composite materials. Springer, Switzerland

    Book  Google Scholar 

  23. Mahamood RM, Akinlabi ET, Shukla M, Pityana S (27 July 2016) Process for the manufacture of a titanium composite using additive manufacturing. Application no. 2016/04998. Patent J 49(7) (Part 2, 2):78

    Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the Rental Pool Programme of National Laser Centre, Council of Scientific and Industrial Research (CSIR-NLC), Pretoria, South Africa.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rasheedat M. Mahamood .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mahamood, R.M., Akinlabi, E.T. (2020). Modelling and Optimization of Laser Additive Manufacturing Process of Ti Alloy Composite. In: Gupta, K., Gupta, M. (eds) Optimization of Manufacturing Processes. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-19638-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-19638-7_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19637-0

  • Online ISBN: 978-3-030-19638-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics