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Personalized Upper Limb Assistive Device Socket for Phocomelia Patient Using Topology Optimization Techniques

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Phocomelia is a congenital limb defect affecting the upper or lower limbs of newborns, significantly impacting their daily lives. Adaptive devices, such as prosthetic limbs, are crucial for helping individuals with phocomelia, yet designing and customizing these devices presents a complex challenge, as traditional prosthetic devices often do not cater to the specific needs of each patient due to their generic design. This study employs topology optimization and finite element analysis (FEA) to enhance the design and mechanical performance of these adaptive devices. The study focuses on improving design through material selection and topology optimization, analyzing mechanical behavior using FEA, and identifying potential improvements in strength and durability. Three materials—acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), and polyethylene terephthalate glycol (PETG)—are evaluated with weight reductions ranging from 10% to 50%. Computational software is used for modeling and analysis based on an existing model from Universiti Teknologi MARA (UiTM), incorporating applied forces and fixed points. Results indicate the stiffness-to-weight ratio for each material and mass reduction scenario, alongside stress, strain, and displacement analyses. This study aims to advance adaptive device design by enhancing functionality and affordability, ultimately improving the quality of life for phocomelia patients.
Title: Personalized Upper Limb Assistive Device Socket for Phocomelia Patient Using Topology Optimization Techniques
Description:
Phocomelia is a congenital limb defect affecting the upper or lower limbs of newborns, significantly impacting their daily lives.
Adaptive devices, such as prosthetic limbs, are crucial for helping individuals with phocomelia, yet designing and customizing these devices presents a complex challenge, as traditional prosthetic devices often do not cater to the specific needs of each patient due to their generic design.
This study employs topology optimization and finite element analysis (FEA) to enhance the design and mechanical performance of these adaptive devices.
The study focuses on improving design through material selection and topology optimization, analyzing mechanical behavior using FEA, and identifying potential improvements in strength and durability.
Three materials—acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), and polyethylene terephthalate glycol (PETG)—are evaluated with weight reductions ranging from 10% to 50%.
Computational software is used for modeling and analysis based on an existing model from Universiti Teknologi MARA (UiTM), incorporating applied forces and fixed points.
Results indicate the stiffness-to-weight ratio for each material and mass reduction scenario, alongside stress, strain, and displacement analyses.
This study aims to advance adaptive device design by enhancing functionality and affordability, ultimately improving the quality of life for phocomelia patients.

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