Design of Experiment (DOE): Taguchi Method and Full Factorial Design in Surface Roughness
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Transcript of Design of Experiment (DOE): Taguchi Method and Full Factorial Design in Surface Roughness
A COMPARATIVE STUDY OF THE TAGUCHI METHOD AND DESIGN OF EXPERIMENT (DOE) TECHNIQUE IN
SURFACE ROUGHNESSAHMAD SYAFIQ BIN CHE RAHIM
57274211022
RAFIDAH ALI
MALAYSIAN INSTITUTE OF INDUSTRIAL TECHNOLOGY
UNIVERSITI KUALA LUMPUR
ABSTRACT• The experimental study presented in this
paper aims to highlight the application of Taguchi and DOE
• It also to compare the mean error value of Taguchi and DOE experimental design processes as applied to surface roughness
INTRODUCTIONDOE and Taguchi method are methodology for
systematically applying statistics to experimentation.
• Sir R.A. Fisher
• Genichi Taguchi
• Trouble shooting• Improve• To find optimal setting• Determine the parameter that impact on
product
SURFACE ROUGHNESS• Measure of the
texture of a surface
• If deviations are large, the surface is rough
• If they are small the surface is smooth.
OBJECTIVETo compare mean error in Taguchi method and DOE experimental design processes in surface roughness.
To find optimizing accuracy of surface roughness.
LITERATURE REVIEWThomas A.J., Antony J., (2005). A Comparative Analysis of The Taguchi and Shainin DOE Techniques in an Aerospace Environment.
“Shainin DOE provides a powerful yet simpler approach that lends itself to easier implementation in an industrial environment”
LITERATURE REVIEWTanco, M., Viles E., Pozueta L., (2009). Comparing Different Approaches for Design of Experiments (DOE).
“Shainin DOE techniques provides a powerful and reliable method of experimental design that is easily implemented throughout the organization”
LITERATURE REVIEWTanco, M., Viles E., Pozueta L., (2009). Comparing Different Approaches for Design of Experiments (DOE).
“Taguchi approach provides for a powerful product/process enhancement capability where system robustness can be created through the identification of a wider range of influential variables that can affect system output”
METHODOLOGYDOE
Planning experime
nt
Design experime
nt
Conducting
experiment
Analyzing result
Confirming results
Factor 1 2 Probe 25.0 µm 50.0 µm
Cut of Length 0.08 mm 0.25 mmSampling Length
1 2
Temperature Covered Uncovered
PARAMETER
EXPERIMENT DESIGN
DOE TABLE
TAGUCHI
Planning
experiment
Select factor and level
Experimental
design
Conduct experim
entAnalysis Confirm
result
Factor 1 2 Probe 25.0 µm 50.0 µm
Cut of Length 0.08 mm 0.25 mmSampling Length
1 2
Temperature Covered Uncovered
PARAMETER
Factor 1 2Condition Morning Evening
EXPERIMENTAL DESIGN
TAGUCHI TABLE
MACHINE•MARSURF XR20
DOE RESULT
DOE NORMALITY TEST
0.100.080.060.040.020.00-0.02-0.04
99
9590
80706050403020
105
1
Result
Perc
ent
Mean 0.02936StDev 0.02490N 16AD 0.455P-Value 0.233
DOE Experiment Normallity TestNormal
P-value = 0.233 is greater than 0.05 so data is
NORMAL
DOE MAIN EFFECT
1-1
0.05
0.04
0.03
0.02
0.011-1
1-1
0.05
0.04
0.03
0.02
0.011-1
ProbeM
ean
Cut of Length
Sampling Length Temperature
DOE Experiment Main Effect
DOE ONE-WAY ANOVA Factors P-Value Conclusions
Probe0.001
High significant
Cut of length0.996
Not significant
Sampling length0.778
Low significant
Temperature0.632
Significant
TAGUCHI METHOD RESULT
TAGUCHI MAIN EFFECT
21
0.110.100.090.080.07
21
21
0.110.100.090.080.07
21
ProbeM
ean
of M
eans
Cut of Length
Sampling Length Temperature
Main Effects Plot for MeansData Means
TAGUCHI ONE-WAY ANOVA
Factors P-Value Conclusions
Probe0.030
High significant
Cut of length0.036
Significant
Sampling length0.412
Not significant
Temperature0.284
Low significant
COMPARISON ERROR
• The DOE result of error show that value 0.0293
• The DOE is more accuracy than Taguchi
COMPARISON MAIN EFFECT
21
0.110.100.090.080.07
21
21
0.110.100.090.080.07
21
Probe
Mean
of M
eans
Cut of Length
Sampling Length Temperature
Main Effects Plot for MeansData Means
TAGUCHI
1-1
0.05
0.04
0.03
0.02
0.011-1
1-1
0.05
0.04
0.03
0.02
0.011-1
Probe
Mean
Cut of Length
Sampling Length Temperature
DOE Experiment Main Effect
DOE
COMPARISON P-VALUEPARAMETER DOE TAGUCHI
Probe 0.001 0.030
Cut of Length 0.996 0.036
Sampling Length
0.778 0.412
Temperature 0.632 0.284
COMPARISON IN GENERALLY
Characteristics
DOE Taguchi
Procedure Easy Difficult
Complexity Low High
Cost Low High
Flexibility High Low
CONCLUSION
•DOE in this experiment show the smaller value of error and it more accurate than Taguchi.
• Probe is the main effect on determine the value of measurements.
THANK YOU