Parametric Optimization of Fused Deposition Modeling Process in Rapid Prototyping Technology


  • Mr. Vishal N. Patel Department of Mechanical Engineering (CAD/CAM), LJIET, Ahmedabad
  • Mr. Kamlesh P. Kadia Department of Mechanical Engineering (CAD/CAM), LJIET, Ahmedabad


Fused deposition modelling, CAD, Anova.


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



How to Cite

Mr. Vishal N. Patel, & Mr. Kamlesh P. Kadia. (2015). Parametric Optimization of Fused Deposition Modeling Process in Rapid Prototyping Technology. International Journal of Advance Engineering and Research Development (IJAERD), 2(5), 165–172. Retrieved from