Authors :
Suresh Raju Alase; A. S. Bharule
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/tc722nbj
Scribd :
https://tinyurl.com/ky6c69kh
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR372
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Material extrusion is one of the most
commonly used additive manufacturing techniques
which utilizes thermoplastics as the building material.
The quality and performance of parts produced via
material extrusion depends highly on the process
parameters selected. This paper reviews the work done
by various researchers on optimizing key process
parameters like extrusion temperature, layer thickness,
infill percentage, infill pattern etc. in material extrusion
3D printing using thermoplastics like PLA, ABS and
nylon. The effects of these parameters on properties like
surface roughness, dimensional accuracy, mechanical
strength are discussed. Statistical tools like Taguchi
method and response surface methodology that have
been applied for parameter optimization are also
reviewed. The review highlights the need for further
process optimization studies considering part design,
build orientation and post processing to unleash the full
potential of material extrusion 3D printing..
Keywords :
Additive Manufacturing, Material Extrusion, Process Parameters, Thermoplastics, Optimization.
Material extrusion is one of the most
commonly used additive manufacturing techniques
which utilizes thermoplastics as the building material.
The quality and performance of parts produced via
material extrusion depends highly on the process
parameters selected. This paper reviews the work done
by various researchers on optimizing key process
parameters like extrusion temperature, layer thickness,
infill percentage, infill pattern etc. in material extrusion
3D printing using thermoplastics like PLA, ABS and
nylon. The effects of these parameters on properties like
surface roughness, dimensional accuracy, mechanical
strength are discussed. Statistical tools like Taguchi
method and response surface methodology that have
been applied for parameter optimization are also
reviewed. The review highlights the need for further
process optimization studies considering part design,
build orientation and post processing to unleash the full
potential of material extrusion 3D printing..
Keywords :
Additive Manufacturing, Material Extrusion, Process Parameters, Thermoplastics, Optimization.
