A NOVEL APPROACH FOR CUSTOMIZED PROSTHETIC SOCKET DESIGN

2016 ◽  
Vol 28 (03) ◽  
pp. 1650022 ◽  
Author(s):  
Chitresh Nayak ◽  
Amit Singh ◽  
Himanshu Chaudhary ◽  
Abhishek Tripathi

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.

2008 ◽  
Vol 392-394 ◽  
pp. 891-897
Author(s):  
G.Q. Shang ◽  
C.H. Sun ◽  
X.F. Chen ◽  
J.H. Du

Fused deposition modeling (FDM) has been widely applied in complex parts manufacturing and rapid tooling and so on. The precision of prototype was affected by many factors during FDM, so it is difficult to depict the process using a precise mathematical model. A novel approach for establishing a BP neural network model to predict FDM prototype precision was proposed in this paper. Firstly, based on analyzing effect of each factor on prototyping precision, some key parameters were confirmed to be feature parameters of BP neural networks. Then, the dimensional numbers of input layer and middle hidden layer were confirmed according to practical conditions, and therefore the model structure was fixed. Finally, the structure was trained by a great lot of experimental data, a model of BP neural network to predict precision of FDM prototype was constituted. The results show that the error can be controlled within 10%, which possesses excellent capability of predicting precision.


2021 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Nanang Ali Sutisna ◽  
Rakha Amrillah Fattah

The method of producing items through synchronously depositing material level by level, based on 3D digital models, is named Additive Manufacturing (AM) or 3D-printing. Amongs many AM methods, the Fused Deposition Modeling (FDM) technique along with PLA (Polylactic acid) material is commonly used in additive manufacturing. Until now, the mechanical properties of the AM components could not be calculated or estimated until they've been assembled and checked. In this work, a novel approach is suggested as to how the extrusion process affects the mechanical properties of the printed component to obtain how the parts can be manufactured or printed to achieve improved mechanical properties. This methodology is based on an experimental procedure in which the combination of parameters to achieve an optimal from a manufacturing experiment and its value can be determined, the results obtained show the effect of the extrusion process affects the mechanical properties.


Author(s):  
Aya Abdalla ◽  
Bhavik Anil Patel

Three-dimensional (3D) printing has recently emerged as a novel approach in the development of electrochemical sensors. This approach to fabrication has provided a tremendous opportunity to make complex geometries of electrodes at high precision. The most widely used approach for fabrication is fused deposition modeling; however, other approaches facilitate making smaller geometries or expanding the range of materials that can be printed. The generation of complete analytical devices, such as electrochemical flow cells, provides an example of the array of analytical tools that can be developed. This review highlights the fabrication, design, preparation, and applications of 3D printed electrochemical sensors. Such developments have begun to highlight the vast potential that 3D printed electrochemical sensors can have compared to other strategies in sensor development. Expected final online publication date for the Annual Review of Analytical Chemistry, Volume 14 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2016 ◽  
Vol 105 ◽  
pp. 152-159 ◽  
Author(s):  
Jianlei Wang ◽  
Hongmei Xie ◽  
Zixiang Weng ◽  
T. Senthil ◽  
Lixin Wu

2021 ◽  
Vol 11 (18) ◽  
pp. 8760
Author(s):  
Michael Wüthrich ◽  
Maurus Gubser ◽  
Wilfried J. Elspass ◽  
Christian Jaeger

Fused deposition modeling (FDM) 3D printers commonly need support material to print overhangs. A previously developed 4-axis printing process based on an orthogonal kinematic, an additional rotational axis around the z-axis and a 45° tilted nozzle can print overhangs up to 100° without support material. With this approach, the layers are in a conical shape and no longer parallel to the printing plane; therefore, a new slicer strategy is necessary to generate the paths. This paper describes a slicing algorithm compatible with this 4-axis printing kinematics. The presented slicing strategy is a combination of a geometrical transformation with a conventional slicing software and has three basic steps: Transformation of the geometry in the .STL file, path generation with a conventional slicer and back transformation of the G-code. A comparison of conventionally manufactured parts and parts produced with the new process shows the feasibility and initial results in terms of surface quality and dimensional accuracy.


2012 ◽  
Vol 576 ◽  
pp. 633-636 ◽  
Author(s):  
Yusof Way ◽  
Muhammad Ridhuan Kamarudin ◽  
Noor Iliana Mohd Salimi

The important of Reverse Engineering (RE) and Rapid Prototyping (RP) process in the automotive sector has made the knowledge of its operation vital to engineers and designers. The purpose of this research is to apply and implement the RE and RP process and also integrate advance quality tools in the development of automotive components. The advance quality tools that been implemented are Quality Function Deployment (QFD) and Failure Mode Effect Analysis (FMEA). To produce the final products, a machine that works under Fused Deposition Modeling (FDM) principle is used. A manual window crank as the automotive component has been selected as the product for this paper and application. Before continuing the fabrication of product, the design improvement of the target product to a better product level is done through the QFD and FMEA as the advance quality tools. The analysis from QFD and FMEA tool is then translated into the design and product development.


2008 ◽  
Vol 594 ◽  
pp. 273-280 ◽  
Author(s):  
L.H. Hsu ◽  
G.F. Huang ◽  
C.T. Lu ◽  
C.W. Lai ◽  
Y.M. Chen ◽  
...  

This study aims to employ the technology of rapid prototyping for the development of a process that is to assist a prosthetist for easily designing and manufacturing a prosthetic socket for specific transtibial amputee. Currently, the production of prosthetic socket still depends on prosthetists’ skills and expertise. To improve its tedious process, quality uncertainty, and lack of experienced prosthetists, the benefits of using rapid prototyping (RP) technology together with computer-aided systems will be expecting goals. This article demonstrated the feasibility of producing RP sockets using a fused deposition modeling (FDM) machine, and a prototype system that allows a prosthetist to easily design prosthetic sockets has been developed. This proposed computer-aided engineering process, which is plaster-free method, is expected to replace the manual process of conventional approach of fabricating prosthetic sockets. Furthermore, since thin-layer RP socket is easily broken, coating a resin layer on RP socket to enforce its strength is underway.


Author(s):  
Michael A. Luzuriaga ◽  
Danielle R. Berry ◽  
John C. Reagan ◽  
Ronald A. Smaldone ◽  
Jeremiah J. Gassensmith

Biodegradable polymer microneedle (MN) arrays are an emerging class of transdermal drug delivery devices that promise a painless and sanitary alternative to syringes; however, prototyping bespoke needle architectures is expensive and requires production of new master templates. Here, we present a new microfabrication technique for MNs using fused deposition modeling (FDM) 3D printing using polylactic acid, an FDA approved, renewable, biodegradable, thermoplastic material. We show how this natural degradability can be exploited to overcome a key challenge of FDM 3D printing, in particular the low resolution of these printers. We improved the feature size of the printed parts significantly by developing a post fabrication chemical etching protocol, which allowed us to access tip sizes as small as 1 μm. With 3D modeling software, various MN shapes were designed and printed rapidly with custom needle density, length, and shape. Scanning electron microscopy confirmed that our method resulted in needle tip sizes in the range of 1 – 55 µm, which could successfully penetrate and break off into porcine skin. We have also shown that these MNs have comparable mechanical strengths to currently fabricated MNs and we further demonstrated how the swellability of PLA can be exploited to load small molecule drugs and how its degradability in skin can release those small molecules over time.


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