Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A three-dimensional micropillar electrode array-based microfluidic sensor for sensitive and stable voltammetric detection of phosphate.

The Analyst·2025
Same author

Microfluidic-based wound healing assays for investigating the effects of matrix viscoelasticity on tumor cell migration.

The Analyst·2025
Same author

Development of a Linear Acoustic Array for Aero-Acoustic Quantification of Camber-Bladed Vertical Axis Wind Turbine.

Sensors (Basel, Switzerland)·2020
Same author

Investigation of Heat Transfer and Pressure Drop in Microchannel Heat Sink Using Al<sub>2</sub>O<sub>3</sub> and ZrO<sub>2</sub> Nanofluids.

Nanomaterials (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jul 20, 2025

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.4K

Structural optimization of orthopedic hip implant using parametric and non-parametric optimization techniques.

Muhammad Abdullah1, Aamir Mubashar2, Emad Uddin2

  • 1Post Graduate Student at the School of Mechanical & Manufacturing Engineering, (SMME), National University of Science and Technology (NUST), Islamabad, Pakistan.

Biomedical Physics & Engineering Express
|August 3, 2023
PubMed
Summary

This study optimized hip implant weight, reducing mass by 34.9% using non-parametric topology optimization and 22% with parametric methods. These techniques address implant stiffness and stress shielding, crucial for bone health.

Keywords:
central composite designdesign of experimentsfinite element analysisorthopedic hip implantstructural optimisationtopology optimisation

More Related Videos

Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs
08:40

Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs

Published on: April 19, 2024

2.3K
Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

869

Related Experiment Videos

Last Updated: Jul 20, 2025

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.4K
Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs
08:40

Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs

Published on: April 19, 2024

2.3K
Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

869

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Mechanical Engineering

Background:

  • Orthopaedic hip implants, often solid metal structures, exhibit higher stiffness than bone.
  • This stiffness mismatch leads to stress shielding, a phenomenon causing bone weakening and osteoporosis.
  • Reducing implant mass is essential to mitigate stress shielding and improve long-term patient outcomes.

Purpose of the Study:

  • To investigate mass reduction strategies for orthopaedic hip implants.
  • To compare the effectiveness of parametric and non-parametric optimization techniques for hip implant design.
  • To reduce implant stiffness and prevent stress shielding.

Main Methods:

  • Application of non-parametric topology optimization techniques.
  • Utilizing parametric optimization based on Central Composite Design (DoE).
  • Employing hole diameters as parameters in structural optimization.

Main Results:

  • Non-parametric topology optimization achieved a significant 34.9% mass reduction.
  • Parametric optimization using DoE resulted in a 22% mass reduction.
  • Both methods demonstrated potential for reducing hip implant mass and associated stiffness.

Conclusions:

  • Topology optimization offers a substantial approach to reducing hip implant weight.
  • Parametric optimization, while effective, yielded a lower mass reduction compared to non-parametric methods.
  • Optimized hip implant designs can help alleviate stress shielding and preserve bone density.