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Modeling of temperature in orthopaedic drilling using fuzzy logic

  • Indian Institute of Technology Patna
    ,
  • Department of Mechanical Engineering
Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Related Event

Title

2012 3rd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2012

Event type

Conference

Date

11/14/2012 - 11/15/2012

Location

MacauChina

Abstract

Bone drilling is a common procedure to produce hole for screw insertion to fixate the fracture devices and implants during orthopaedic surgery. A major problem which is encountered during such a procedure is the increase in temperature of the bone due to the plastic deformation of chips and the friction between the bone and drill. This increase in temperature can result in thermal osteonecrosis which may delay healing or reduce the stability and strength of the fixation. In the present work, prediction of temperature in drilling of polymethylmethacrylate (PMMA) (as a substitute for bone) is carried out using fuzzy logic. The effectiveness of the fuzzy model is compared with the experimental results. Good agreement is observed between the predictive model values and experimental values which indicates that that the developed model can be effectively used to determine the temperature in the bone drilling.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English (US)

Pages from-to (Number of pages)

Pages 1313-1318 (6 pages)

Publication milestones

  • Published - 2013

Publication status

Published - 2013

Volume

249-250

Publication series

  • Publication series name: Applied Mechanics and Materials
    ISSN (Print): 1660-9336
    ISSN (Electronic): 1662-7482
    Volume: 249-250
9783037855577

Publication IDs

  • Scopus: 84872921453
  • ORCID: /0000-0003-3668-104X/work/67683971

Host publication title

Applied Mechanics and Mechanical Engineering III

Publication metrics

Metrics

Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
1.49
SciVal
Author count
2
SciVal
citations
3
SciVal
Paper percentile
46

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Citation count
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