Process Parameters Optimization Of FDMProcess And Application Of Taguchi Approach And ANN – The Review
نویسندگان
چکیده
Rapid prototyping (RP) refers to a class of technology that can automatically construct the physical models from computer aided design (CAD) data. Fused deposition modeling is one of the RP process that produced prototype from plastic material by lying track of semi molten plastic filament on to a platform in a layer wise manner from bottom to top. The quality of FDM made parts are highly depends upon various process parameters of FDM process.Hence optimization of FDM process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of FDM process and application of Taguchi approach and Artificial neural network (ANN).
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