Estimation of the Effect of Process Parameters on Build Time and Model Material Volume for FDM Process Optimization by Response Surface Methodology and Grey Relational Analysis

  • Chapter
  • First Online:
Advances in 3D Printing & Additive Manufacturing Technologies

Abstract

In this study, a hybrid optimization approach is proposed for build time and model material volume in Fused Deposition Modeling (FDM) process on a FDM Maxum Modeler. A combination of response surface methodology (RSM) and grey relational analysis (GRA) is proposed and applied to optimize process parameters of FDM process. The significant input parameters such as contour width, air gap, raster angle, and spatial orientation are considered, and build time and model material have been taken as responses for this study. Thirty experiments were conducted on acrylonitrile butadiene styrene (ABS) P400 for conical primitives using full factorial central composite design. The optimum process parameter conditions were obtained from grey relational grade. The results obtained provide useful information of the method to control responses and ensure minimal build time and model material volume for prototy** requirements. The assessment outcome provided a scientific reference to obtain minimal values of build time and model material volume utilized, and it was found out that these correspond to a contour width of 0.654 mm, air gap of 0.0254 mm, raster angle of 0°, and orientation of 0°.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tolio T, Ceglarek D, ElMaraghy HA, Fischer A, Hu SJ, Laperrière L, Newman ST, Váncza J (2010) SPECIES-Co-evolution of products, processes and production systems. CIRP Annals-Manuf Technol 59:672–693

    Article  Google Scholar 

  2. Stratasys (2013) Material safety data sheet

    Google Scholar 

  3. System Documentation (1998) S.I., FDM, FDM®

    Google Scholar 

  4. Stratasys, Insight Help/Glossary, Stratasys

    Google Scholar 

  5. Stratasys (2014) Stratasys data sheets: the truth about speeds. www.stratasys.com

  6. Stratasys (2014) ABS-M30 production-grade thermoplastic for Fortus 3D production systems. http://www.stratasys.com/~/media/Main/Secure/Material%20Specs%20MS/Fortus-Material-Specs/FortusABSM30MaterialSpecSheet-US-09-14-Web.pdf

  7. Stratasys (2005) FDM Maxum™ User Guide Version 1.3

    Google Scholar 

  8. Stratasys (2015) Compare FDM materials. http://www.stratasys.com/materials/fdm/compare-fdm-materials

  9. Srivastava M, Maheshwari S, Kundra TK (2014) Experimental evaluation of FDM process for support material optimization, in international conference on advances in design & manufacturing 2014 (ICAD&M’14) 2014

    Google Scholar 

  10. Lin CL, Lin JL, Ko TC (2002) Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int J Adv Manuf Technol 19:271–277

    Article  Google Scholar 

  11. Srivastava M, Maheshwari S, Kundra TK (2014) Experimental evaluation of FDM process for support material optimization. In: International conference on advances in design & manufacturing. NIT Trichy

    Google Scholar 

  12. Srivastava M, Maheshwari S, Kundra TK (2014) Experimental evaluation of FDM process for model material volume optimization for cylindrical primitives. IJSER 5(11)

    Google Scholar 

  13. Srivastava M, Saktk M, Experimental evaluation of FDM process for production cost optimization. Int J Res Mech Eng Technol 5(spl-1)

    Google Scholar 

  14. StatEase (2014) Design expert, F.I.T. package, Editor

    Google Scholar 

  15. Chang C, Tsai C, Chen L (2003) Applying grey relational analysis to the decathlon evaluation model. Int J Comput Internet Manage 11(3):54–62

    Google Scholar 

  16. Dang JL (1989) Introduction to grey system theory. J Grey Syst 1:1–24

    MathSciNet  Google Scholar 

  17. Srivastava M, Maheshwari S, Kundra TK (2015) Optimization of build time and model volume for a FDM maxum modeler using response surface methodology. Int J Technol Res Eng

    Google Scholar 

  18. Bharti PS (2012) Optimization of process parameters of electric discharge machining based on neural networks and Taguchi’s method. Guru Gobind Singh Indraprastha University, New Delhi

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manu Srivastava .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Srivastava, M., Maheshwari, S., Kundra, T.K., Rathee, S. (2017). Estimation of the Effect of Process Parameters on Build Time and Model Material Volume for FDM Process Optimization by Response Surface Methodology and Grey Relational Analysis. In: Wimpenny, D., Pandey, P., Kumar, L. (eds) Advances in 3D Printing & Additive Manufacturing Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-0812-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0812-2_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0811-5

  • Online ISBN: 978-981-10-0812-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation