Skip to main content

A Novel Soft-Computing Technique in Hydroxyapatite Coating Selection for Orthopedic Prosthesis

  • Conference paper
  • First Online:
Computational Intelligence for Engineering and Management Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 984))

  • 350 Accesses

Abstract

In the recent era of advanced technology, the use of bio-coatings in prosthetic application has extensively been increasing. The selection of bio-coatings depends upon a number of qualitative and quantitative characteristics. Therefore, the right selection of bio-coating in particular application requires suitable mathematical and scientific basis. This study explores a new fuzzy-based mathematical algorithm for analysis and evaluation of performance characteristics of bio-coatings for proper decision makings. The proposed method is illustrated with a suitable example on evaluation and selection of bio-coating for orthopedic prosthesis under fuzzy multi-criteria decision-making environment. In this technique, diverse important criteria are considered and their importance weights are estimated applying experience and opinion of the experts involved in the decision-making process. Based on the criteria, alternative bio-coatings are screened and respective performance ratings are evaluated for further processing. Subjective importance is assigned to each expert based on respective experience and capability. Thereafter, performance ratings of alternative bio-coating, weights of criteria, and importance weights of experts are integrated with soft-computing tool in logical manner. The result and analysis of the problem under consider reveal that the proposed technique is completely capable of evaluating and selecting the best bio-coating in prosthetic application. The comparison of the result obtained by the proposed method with those found by conventional decision-making techniques for the solution of the problem validates the proposed problem as a useful technique in the field.

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
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. Rahim AAA, Musa SN, Ramesh S, Lim MK (2021) Development of a fuzzy-TOPSIS multi-criteria decision-making model for material selection with the integration of safety, health and environment risk assessment. Int J Mater Des Appl 235(7):1532–1550

    Google Scholar 

  2. Mehmood Z, Haneef I, Udrea F (2020) Material selection for optimum design of MEMS pressure sensors. Microsyst Technol 26:2751–2766

    Article  Google Scholar 

  3. Setti D, Verona MN, Medeiros BB, Restelli A (2019) Materials selection using a 2-tuple linguistic multi-criteria method. Mater Res 22. https://doi.org/10.1590/1980-5373-MR-2018-0846

  4. Yadav S, Pathak VK, Gangwar S (2019) A novel hybrid TOPSIS-PSI approach for material selection in marine application. Sådhanå 44(58):1–12

    Google Scholar 

  5. Datta S, Mahfouf M, Chattopadhyay PP, Sultana N (2016) Imprecise knowledge based design and development of titanium alloys for prosthetic applications. J Mech Behav Biomed Mater 53:350–365

    Article  Google Scholar 

  6. Kweh SWK, Khor KA, Cheang P (2000) Plasma-sprayed hydroxyapatite (HA) coatings with flame-spheroidized feedstock: microstructure and mechanical properties. Biomaterials 21:1223–1234

    Article  Google Scholar 

  7. Dey A, Mukhopadhyay K (2010) Anisotropy in nano-hardness of microplasma sprayed hydroxyapatite coating. Adv Appl Ceram 109:346–354

    Article  Google Scholar 

  8. Gross C, Berndt C (2002) Biomedical application of apatites. Rev Mineral Geochem 48:631–672

    Article  Google Scholar 

  9. Mancini CE, Berndt CC, Sun L, Kucuk A (2001) Porosity determinations in thermally sprayed hydroxyapatite coatings. J Mater Sci 36:3891–3896

    Google Scholar 

  10. Katti S (2004) Biomaterials in total joint replacement. Colloids Surf B 39:133–142

    Article  Google Scholar 

  11. Pawlowski L (1995) The science and engineering of thermal spray coatings. Wiley, Chichester

    Google Scholar 

  12. Huang J, Jayasinghe SN, Best SM, Edirisinghe MJ, Brooks RA, Bonfield W (2004) Electrospraying of a nano-hydroxyapatite suspension. J Mater Sci 39:1029–1032

    Article  Google Scholar 

  13. Cheng GJ, Pirzada D, Cai M, Mohanty P, Bandyopadhyay A (2005) Bioceramic coating of hydroxyapatite on titanium substrate with Nd-YAG laser. Mater Sci Eng C 25:541–547

    Article  Google Scholar 

  14. Mohammadi A, Moayyed AZ, Mesgar ASM (2007) Adhesive and cohesive properties by indentation method of plasma-sprayed hydroxyapatite coatings. Appl Surf Sci 253:4960–4965

    Article  Google Scholar 

  15. Dey A, Mukhopadhyay AK, Gangadharan S, Sinha MK, Basu D (2009) Characterization of microplasma sprayed hydroxyapatite coating. J Therm Spray Technol 18:578–592

    Article  Google Scholar 

  16. Dey A, Mukhopadhyay AK (2011) Fracture toughness of microplasma sprayed hydroxyapatite coating by nanoindentation. Int J Appl Ceram Technol 8:572–590

    Article  Google Scholar 

  17. Cheng K, Zhang S, Weng W, Khor KA, Miao S, Wang Y (2008) The adhesion strength and residual stress of colloidal-sol gel derived [beta]-tricalcium-phosphate/fluoridated-hydroxyapatite biphasic coatings. Thin Solid Films 516:3251–3255

    Article  Google Scholar 

  18. Arias MB, Mayor J, Pou Y, Leng B, Leon M (2003) Perez-Amora, micro-and nano-testing of calcium phosphate coatings produced by pulsed laser deposition. Biomaterials 24:3403–3408

    Article  Google Scholar 

  19. Nieh G, Jankowsk AF, Koike J (2001) Processing and characterization of hydroxyapatite coatings on titanium produced by magnetron sputtering. J Mater Res 16:3238–3245

    Article  Google Scholar 

  20. Guo X, Gough J, Xiao P (2007) Electrophoretic deposition of hydroxyapatite coating on Fecralloy and analysis of human osteoblastic cellular response. J Biomed Mater Res Part A 80:24–33

    Google Scholar 

  21. Gross A, Samandari SS (2007) Nano-mechanical properties of hydroxyapatite coatings with a focus on the single solidified droplet. J Aust Ceram Soc 43:98–101

    Google Scholar 

  22. Chakraborty J, Sinha MK, Basu D (2007) Biomolecular template induced biomimetic coating of hydroxyapatite on an SS316L substrate. J Am Ceram Soc 90:1258–1312

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bipradas Bairagi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bairagi, B., Banerjee, K. (2023). A Novel Soft-Computing Technique in Hydroxyapatite Coating Selection for Orthopedic Prosthesis. In: Chatterjee, P., Pamucar, D., Yazdani, M., Panchal, D. (eds) Computational Intelligence for Engineering and Management Applications. Lecture Notes in Electrical Engineering, vol 984. Springer, Singapore. https://doi.org/10.1007/978-981-19-8493-8_2

Download citation

Publish with us

Policies and ethics