The manufacturing of limb prosthesis socket that is comfortable for the amputee depends greatly on prosthetic practitioner’s knowledge of socket biomechanics and skill. It involves multistage manual corrections depending upon the clinical condition of the patient’s residual limb which may be affected by shrinkage or possible damage of plaster of paris (PoP) mold. The current work describes a novel process simplified through digitization, it integrates conventional PoP processes, reverse engineering (RE), and additive manufacturing (AM) technologies to design and develop a socket. The stereolithography (STL) file generated from the scan data was modeled on a fused deposition modeling (FDM) based AM. Its fitment was assessed with the help of INSPECTPLUS and GEOMAGIC reverse engineering tools. This approach takes the guess work out of prosthetic practitioner’s job, ensures better fitment, and shortens the total fabrication time leading to improved patient satisfaction. The proposed method is a part of the ongoing research and it will offer maximum comfort on demand to the patients through digitization.
This paper presents a modified particle swarm optimization (MPSO) algorithm for the evaluation of geometric characteristics defining form and function of planar surfaces. The geometric features of planar surfaces are decomposed into four components; namely straightness, flatness, perpendicularity, and parallelism. A non-linear minimum zone objective function is formulated mathematically for each planar surface geometric characteristic. Finally, the result of the proposed method is compared with previous work on the same problem and with other nature inspired algorithms. The results demonstrate that the proposed MPSO algorithm is more efficient and accurate in comparison to other algorithms and is well suited for effective and accurate evaluation of planar surface characteristics.
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