Integrating Taguchi and Response Surface Methodology for Process Parameter Optimization of Extrusion Process
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Date
2019-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
The research focus on identifying possible product quality problems that adversely affect rate of
rework or recyclability by selecting case in EPI. By performing cause and effect analysis to
strengthen and diagnose causes corresponding to the identified, prioritized quality problems.
Taguchi and Response Surface Methodology design of experiment is systematically approached
from the existing EPI extrusion machine set- points to identify the possible response output values
approaching.
Taguchi is used to screen the variables that have significant effects (were: Feed speed, vacuum
pressure, Take-off speed, screw speed and die-temperature) and L27(3
) orthogonal array by using
Minitab and know Response factor: Thickness and Width variation. RSM design experiment for
process parameter optimization the selected response factor from Taguchi design experiment
selected independent experimental factors: Feed drum, vacuum chamber, rotational screw speed
and barrel temperature. The dependent response parameters: Feed speed, vacuum pressure, Takeoff
speed,
screw
speed
and
die-temperature.
After
this,
Analysis
of
Variance(ANOVA)
used
to
integrate
Taguchi and
Response
Surface
Methodology
design
experiments.
7
Accordingly, in this research, to set possible parameter combinations and to reduce variation
around thickness and width pipe and control the factor with the biggest impact on the Signal to
noise ratio is Screw speed. And for mean both show that the factor with the greatest effect on the
mean is Feed speed. Finally, the desired target thickness and width of pipe that means optimum
parameter level for minimum value of thickness and width variation of the pipe is Feed speed-1,
vacuum pressure-1, Take-off speed-1, screw speed-1, temperature one-2, temperature two-3 and
temperature three-3 (A1, B1, C1, D1, E2, F3, G3). The S/N ratio optimum parameter level for
minimum value of thickness and width variation of the pipe is Feed speed-1, vacuum pressure-2,
Take-off speed-1, screw speed-1, temperature one-3, temperature two-1 and temperature three-2
(A1, B2, C1, D1, E3, F1, G2).
Description
Keywords
Taguchi Method, Response Surface Methodology, Process Parameter Optimization, ANOVA