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Paper Details

📄 IJAERD-OJS-0790

Parametric Optimization of Fused Deposition Modeling Process in Rapid Prototyping Technology

Author(s):Mr. Vishal N. Patel, Mr. Kamlesh P. Kadia
Institution:Department of Mechanical Engineering (CAD/CAM), LJIET, Ahmedabad
Published In:Vol. 2, Issue 5 — May 2015
Page No.:165-172
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Fused Deposition Modelling (FDM) is a rapid prototyping system that produces physical models directlyfrom the computer aided design (CAD) drawings. These models can be used to e valuate the assembly and thefunctionality of the design, also producing a manufacturing tools, and end -use parts. Parts built with production-gradethermoplastics that match the traditional machined parts, and according to the real-world conditions. FDM can produceinstantly functional parts that used mainly in medical and automotive applications, with the use of reverse engineeringtechniques such as engineering scanning or digitizing systems. Knowledge of the quality characteristics of FDMfabricated parts is crucial. Quality significantly depends on process variable parameters. Optimizing the processparameters of FDM can make the system more precise and repeatable and such advancement can lead to use of FDM inrapid manufacturing applications rather than only producing prototypes. The part building is influenced by variantprocessing conditions.Thus, FDM process variable parameters are required to be collectively optimized rather than individually. In order tounderstand this issue, this study presents results of the experimental work on the effect of the main FDM process variableparameters of layer thickness (A), air gap (B), raster width (C), contour width (D), and raster orientation (E) on themechanical properties viz. tensile, flexural, impact strength and hardness of part fabricated using fused depositionmodelling (FDM) technology. Previous studies have investigated the quality characteristics but limited knowledge isavailable on FDM newly improved materials. Thus, the new ABS- M30 material was used in this experimental work tobuild parts. To conduct this study, a full factorial experiment was used to obtain the test runs. A number of analyticalmethods Analysis of Variance (ANOVA), used to determine the influence of the variable FDM process para metersettings. Results show that these process parameters have significant effect on the quality of finished products.

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🕮 How to Cite

Mr. Vishal N. Patel, Mr. Kamlesh P. Kadia, “Parametric Optimization of Fused Deposition Modeling Process in Rapid Prototyping Technology”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 165-172, May 2015.

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