To address the issues of inadequate therapeutic effects, side effects, poor fit, and aesthetic deficiencies associated with traditional external fixation for fractures, a personalized and rapid customization and optimization design method for rehabilitation fixators is proposed, based on reverse engineering and 3D printing technologies. Taking the wrist rehabilitation fixator as an example, a handheld scanner is used to scan the hand model, and the collected triangular mesh data is processed. The model reconstruction is completed using Geomagic Studio software to establish a CAD model. On this foundation, forward design work is carried out using nTopology additive manufacturing software in conjunction with Solidworks software. Concurrently, based on clinical symptom analysis and requirement inference, a lightweight design for the fixator is achieved. This approach proposes a convenient and effective method for the design and optimization of personalized rehabilitation fixators.

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Design of Personalized and Lightweight Rehabilitation Fixators Based on nTopology

  • Yaohua Feng,
  • Xuerong Yang,
  • Siyuan Cheng,
  • Zhengyang Chen,
  • Bojian Fang,
  • Zhixi Chen

摘要

To address the issues of inadequate therapeutic effects, side effects, poor fit, and aesthetic deficiencies associated with traditional external fixation for fractures, a personalized and rapid customization and optimization design method for rehabilitation fixators is proposed, based on reverse engineering and 3D printing technologies. Taking the wrist rehabilitation fixator as an example, a handheld scanner is used to scan the hand model, and the collected triangular mesh data is processed. The model reconstruction is completed using Geomagic Studio software to establish a CAD model. On this foundation, forward design work is carried out using nTopology additive manufacturing software in conjunction with Solidworks software. Concurrently, based on clinical symptom analysis and requirement inference, a lightweight design for the fixator is achieved. This approach proposes a convenient and effective method for the design and optimization of personalized rehabilitation fixators.