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A Computational Framework for Simulating Patient-Specific TMJ Biomechanics Using a Combined Multibody Dynamics and

Farhad Ahmadi1, Shuchun Sun1,2, Jichao Zhao1

  • 1Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.

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|March 2, 2026
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Summary
This summary is machine-generated.

This study introduces a computational framework to assess temporomandibular joint (TMJ) biomechanics, offering patient-specific insights into joint forces and stresses to aid in diagnosing TMJ disorders.

Keywords:
Computer simulationOrthognathic surgeryPatient-specific modelingTemporomandibular joint

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Area of Science:

  • Biomechanics
  • Computational modeling
  • Orthodontics

Background:

  • Temporomandibular joint (TMJ) disorders are linked to joint contact forces and stresses.
  • Direct measurement of these biomechanical parameters is currently impractical.
  • A computational approach is needed for patient-specific TMJ analysis.

Purpose of the Study:

  • To develop and present a computational framework for evaluating TMJ biomechanical parameters.
  • To integrate functional assessment with patient-specific modeling.
  • To provide a practical method for assessing TMJ health.

Main Methods:

  • Acquisition of patient-specific functional and morphological data.
  • Development of combined multibody dynamics and finite-element (MBD-FE) models.
  • Simulation of patient-specific biting tasks, demonstrated in a pre-/post-orthognathic surgery scenario.

Main Results:

  • Surgery led to functional improvements (increased bite force, altered muscle usage) and morphological adaptations.
  • Simulations revealed contralateral joint forces exceeding ipsilateral forces during unilateral biting.
  • Predicted areas of high disc stress correlated with reduced joint gap and poor congruency, demonstrating morphology-function interactions.

Conclusions:

  • The developed framework unifies individualized functional inputs and subject-specific geometries.
  • It offers a practical basis for patient-tailored assessment of biomechanical parameters.
  • This approach supports clinical decision-making in TMJ care.