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Comparative Analysis of Mechanical Behavior of Femur Bone of Different Age and Sex Using FEA

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Advances in Mechanical Engineering and Technology

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Finite element modeling (FEM) is a computational structural engineering technique that has been utilized to analyze the relationship between loads, various stresses, and deformation induced in bone and to design patient-specific orthopedic implants. For instance, the latest advances in FE model generation enhanced graphics in computer tomography and better segmentation techniques, increased the FEM precision, and developed the patient-specific simulated anatomies and the other mechanical and physical properties that are useful for orthopedic professionals. Three-dimensional (3D) model of the femur bone is extracted from Digital Imaging and Communications in Medicine (DICOM) images using MIMICS-21 software and further post-processing and analysis is done using ANSYS 18 version. The present study gives a comparative analysis of the FEM of the femur bone and the significant physiological variations in the femoral bone. The stress generation and total deformation of the healthy femur bone have been determined based on sex, age, and bodyweights from real-time data. The findings conclude that, in the case of females, the maximum bone strength and bone wall thickness are offered in 30–40 years age group and in the case of the male 40–50 years age group.

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References

  1. Ethier CR, Simmons CA (2007) Introductory biomechanics: from cells to organisms. Cambridge University Press

    Google Scholar 

  2. Fantoni I, Lozano R, Sinha SC (2002) Non-linear control for underactuated mechanical systems. Appl Mech Rev 55(4):B67–B68

    Google Scholar 

  3. Petit MA, Beck TJ, Shults J, Zemel BS, Foster BJ, Leonard MB (2005) Proximal femur bone geometry is appropriately adapted to lean mass in overweight children and adolescents. Bone 36(3):568–576

    Article  Google Scholar 

  4. Karwowski W, Ostaszewski K, Zurada JM (1992) Applications of catastrophe theory in modeling the risk of low back injury in manual lifting tasks. Le Travail Humain 259–275

    Google Scholar 

  5. Lombardi RM (2012) Bone density as a source of error measuring body composition with the BOD POD and iDXA in female runners (Doctoral dissertation, The Ohio State University)

    Google Scholar 

  6. Trabelsi N, Yosibash Z, Wutte C, Augat P, Eberle S (2011) Patient-specific finite element analysis of the human femur—a double-blinded biomechanical validation. J Biomech 44(9):1666–1672

    Article  Google Scholar 

  7. Poelert S, Valstar E, Weinans H, Zadpoor AA (2013) Patient-specific finite element modeling of bones. Proc Inst Mech Eng [H] 227(4):464–478

    Article  Google Scholar 

  8. Engelke K, van Rietbergen B, Zysset P (2016) FEA to measure bone strength: a review. Clin Rev Bone Miner Metab 14(1):26–37

    Article  Google Scholar 

  9. Taylor CA, Hughes TJ, Zarins CK (1998) Finite element modeling of blood flow in arteries. Comput Methods Appl Mech Eng 158(1–2):155–196

    Article  MathSciNet  Google Scholar 

  10. Van den Broeck J, Vereecke E, Wirix-Speetjens R, Vander Sloten J (2014) Segmentation accuracy of long bones. Med Eng Phys 36(7):949–953

    Google Scholar 

  11. San Antonio T, Ciaccia M, Müller-Karger C, Casanova E (2012) Orientation of orthotropic material properties in a femur FE model: a method based on the principal stresses directions. Med Eng Phys  34(7):914–919

    Google Scholar 

  12. Lotz JC, Cheal EJ, Hayes WC (1995) Stress distributions within the proximal femur during gait and falls: implications for osteoporotic fracture. Osteoporos Int 5(4):252–261

    Article  Google Scholar 

  13. Pianykh OS (2009) Digital imaging and communications in medicine (DICOM): a practical introduction and survival guide. Springer Science & Business Media

    Google Scholar 

  14. Lee DC, Hoffmann PF, Kopperdahl DL, Keaveny TM (2017) Phantomless calibration of CT scans for measurement of BMD and bone strength—inter-operator reanalysis precision. Bone 103:325–333

    Google Scholar 

  15. Gargiulo P (2011) 3D modeling and monitoring of denervated muscle under Functional Electrical Stimulation treatment and associated bone structural change. Eur J Transl Myol-Basic Appl Myol 21:31–94

    Google Scholar 

  16. Walter DJ, Sirinterlikci A (2017) Utilization of freeware and low cost tools in a rapid prototy** and reverse engineering course. In: ASEE Annual Conference Exposition. Columbus, USA

    Google Scholar 

  17. Hsu CE, Shih CM, Wang CC, Huang KC (2013) Lateral femoral wall thickness: a reliable predictor of post-operative lateral wall fracture in intertrochanteric fractures. Bone Joint J 95(8):1134–1138

    Article  Google Scholar 

  18. Chen X, Liu Y (2018) Finite element modeling and simulation with ANSYS Workbench. CRC press

    Google Scholar 

  19. Yassine RA, Elham MK, Mustapha S, Hamade RF (2017) A detailed methodology for FEM analysis of long bones from CT using Mimics. In: ASME 2017 international mechanical engineering congress and exposition. American Society of Mechanical Engineers Digital Collection

    Google Scholar 

  20. Stolarski T, Nakasone Y, Yoshimoto S (2018) Engineering analysis with ANSYS software. Butterworth-Heinemann

    Google Scholar 

  21. da Silva GA, Beck AT, Sigmund O (2019) Stress-constrained topology optimization considering uniform manufacturing uncertainties. Comput Methods Appl Mech Eng 344:512–537

    Article  MathSciNet  Google Scholar 

  22. Madenci E, Guven I (2015) The finite element method and applications in engineering using ANSYS®. Springer

    Google Scholar 

  23. Saibene F, Minetti AE (2003) Biomechanical and physiological aspects of legged locomotion in humans. Eur J Appl Physiol 88(4):297–316

    Article  Google Scholar 

  24. McKibbin B (1978) The biology of fracture healing in long bones. J Bone Joint Surg Br 60(2):150–162

    Google Scholar 

  25. Keyak JH, Sigurdsson S, Karlsdottir G, Oskarsdottir D, Sigmarsdottir A, Zhao S, Kornak J, Harris TB, Sigurdsson G, Jonsson BY, Siggeirsdottir K (2011) Male–female differences in the association between incident hip fracture and proximal femoral strength: a finite element analysis study. Bone 48(6):1239–1245

    Article  Google Scholar 

  26. Doblaré M, Garcıa JM, Gómez MJ (2004) Modeling bone tissue fracture and healing: a review. Eng Fract Mech 71(13–14):1809–1840

    Article  Google Scholar 

  27. Mccreadie BR, Goldstein SA (2000) Biomechanics of fracture: is bone mineral density sufficient to assess risk? J Bone Miner Res 15(12):2305–2308

    Article  Google Scholar 

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Authors and Affiliations

  1. Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India

    Dinesh Yadav & Ramesh Kumar Garg

Authors
  1. Dinesh Yadav
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  2. Ramesh Kumar Garg
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Correspondence to Ramesh Kumar Garg .

Editor information

Editors and Affiliations

  1. Department of Design, Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

    Ranganath M. Singari

  2. Department of Mechanical Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Pavan Kumar Kankar

  3. Physico-Mechanical Metrology, CSIR - National Physical Laboratory, New Delhi, India

    Girija Moona

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Yadav, D., Garg, R.K. (2022). Comparative Analysis of Mechanical Behavior of Femur Bone of Different Age and Sex Using FEA. In: Singari, R.M., Kankar, P.K., Moona, G. (eds) Advances in Mechanical Engineering and Technology. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9613-8_3

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  • DOI: https://doi.org/10.1007/978-981-16-9613-8_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9612-1

  • Online ISBN: 978-981-16-9613-8

  • eBook Packages: EngineeringEngineering (R0)

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