Open AccessReducing circularity error by optimizing the Operating parameters in Fused deposition modeling using Genetic Algorithm
Author(s) -
G. Naresh,
Vengatesan Subramanian,
M. Palanivendhan,
K Devanathan,
Thanesh Prasath,
Dhinesh,
V Logesh
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/993/1/012151
Subject(s) - extrusion , deposition (geology) , fused deposition modeling , raster graphics , orientation (vector space) , process (computing) , 3d printing , ultimate tensile strength , genetic algorithm , computer science , mechanical engineering , component (thermodynamics) , die (integrated circuit) , algorithm , materials science , process engineering , engineering drawing , mathematics , mathematical optimization , composite material , engineering , geometry , paleontology , sediment , biology , thermodynamics , physics , artificial intelligence , operating system
The Additive manufacturing of materials is growing rapidly in the area of research and development. Since it neglects the cost to make molds, jigs or fixtures for newly developed component which may be tested later. This work focuses on building parts using Fused Deposition Modelling (FDM) by producing optimum strength of materials. The property of the manufactured parts varies with change in process parameters. This limits the strength of the component manufactured using FDM which rely on controllable variables like raster width, bead width, contours, air gap, part orientation, rate of deposition, extrusion speed and printing speed. Deciding the optimum combination of all these parameters are difficult while making a product. This project focuses on an investigation on find an optimum level of part orientation, layer thickness and air gap for maximizing tensile strength and reducing the circularity error on manufactured part.