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Absolute Motion Analysis- General Plane Motion01:24

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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Relative Motion Analysis using Rotating Axes01:25

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

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Relative Motion Analysis - Acceleration01:10

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Virtual articulation using sequential mandibular intraoral scans and computational functional rotation reference determination-Proof-of-concept.

Journal of prosthodontics : official journal of the American College of Prosthodontists·2026
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Comparison of tooth fracture load between different conventional and CAD-CAM denture base materials.

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Implementing 3D-printed indexing devices and contemporary scanning techniques for complete-arch implant-supported rehabilitations: A clinical case report.

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Related Experiment Video

Updated: Jan 11, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Scanner-agnostic dynamic jaw motion generation from virtual static excursive records using open-source Python-based

Mohamed Sherif Omar1, Chao-Chieh Yang2, Dean Morton3

  • 1Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.

Journal of Prosthodontics : Official Journal of the American College of Prosthodontists
|November 14, 2025
PubMed
Summary
This summary is machine-generated.

A new digital workflow uses artificial intelligence (AI) to create dynamic jaw motion from static dental scans. This cost-effective, scanner-agnostic technique integrates patient-specific jaw movement into digital dentistry.

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Area of Science:

  • Digital Dentistry
  • Biomechanical Engineering
  • Artificial Intelligence in Healthcare

Background:

  • Current digital prosthodontic workflows often rely on static interocclusal records.
  • Generating dynamic mandibular motion data is crucial for accurate digital restorations.
  • Existing methods can be costly and vendor-specific.

Purpose of the Study:

  • To develop a scanner-agnostic digital workflow for generating dynamic mandibular motion.
  • To utilize artificial intelligence (AI) for interpolating intermediate jaw positions.
  • To create a cost-effective, non-vendor-specific solution for integrating jaw motion into digital workflows.

Main Methods:

  • A custom AI algorithm and user interface were developed using Python.
  • Static virtual interocclusal records (maximum intercuspation, protrusion, lateral excursions) were captured using an intraoral scanner.
  • Quantified point tracking and interpolation were employed to generate a motion path file compatible with CAD software.

Main Results:

  • The technique successfully generated dynamic mandibular motion from static virtual records.
  • The AI algorithm effectively interpolated intermediate jaw positions.
  • The workflow is scanner-agnostic and compatible with existing dental CAD software.

Conclusions:

  • This AI-powered digital workflow provides a cost-effective and adaptable solution for dynamic jaw motion analysis.
  • It enables the integration of individualized mandibular motion into digital prosthodontic workflows.
  • The use of open-source tools and AI reduces vendor dependency and enhances accessibility.