This final year paper report is about the design and analysis of jigs and fixtures for manufacturing process. For this project, it is focus on the perspective of the job handling to produce the part. Currently, they implement the manual handling to assembly each component. Improvement that is trying to do is by replace the manual handling for the process by designing the semi auto jig for this process. The objectives of this project are to investigate the collected data and analyse the design of jig and fixture to ease work handling. The methodology of research procedures covered on this project consists of collect data, brainstorming and interprets data, design concept, and documentation. The design of jig and fixtures is using Unigraphics NX7.5 software. The data that can be studied include the analysis of Finite Element Analysis (FEA) using CATIA software, the analysis of design ergonomic, the time study analysis and cost analysis. At the end of this project, this research will be able to give understanding about jig and fixture, design by using Unigraphics NX7.5 software and finally able to do the analysis for the selected part of product by using FEA and other relevant analysis
Fused Deposition Modelling (FDM) is a process for developing Rapid Prototype (RP) objects according to numerically defined cross sectional geometry by depositing fused layers of material. This RP may used straight to the application. Therefore, this research has been done to optimize the best parameter towards better roughness on the surface. Plus, this research is to explore the influence of layer height, outline speed and extruder temperature with the surface roughness. A specimen has been proposed to fulfil the objective of the research. In order to build the specimen, it has been drawn by CAD. The, it was transfer to Standard Triangulation Language, (STL) file. The STL will read and the FDM will deposits the material from the bottom curve and build up the model to the top curve. In order to reduce experimental runs, Taguchi Method based on central composite design is adopted. L9 was used to run the specimen. Thus, there is nine experiment that will run. Specimens are prepared to improve surface roughness of the 3D printing. The specimen was measured by Mitutoyo CS3000 525-780EI. Relations among responses and process parameters are determined and their validity is proved using analysis of variance (ANOVA). Response surface are analysed to establish main factor effects and their interaction on responses. The specimen is proposed in flat and curve surface. For the result, it is stated that layer height was the main parameter that effects of the surface roughness, compare to the outline speed and extruder temperature.
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