design of experiment (doe): taguchi method and full factorial design in surface roughness
TRANSCRIPT
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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
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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
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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
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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.
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OBJECTIVETo compare mean error in Taguchi method and DOE experimental design processes in surface roughness.
To find optimizing accuracy of surface roughness.
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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”
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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”
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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”
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METHODOLOGYDOE
Planning experime
nt
Design experime
nt
Conducting
experiment
Analyzing result
Confirming results
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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
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EXPERIMENT DESIGN
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DOE TABLE
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TAGUCHI
Planning
experiment
Select factor and level
Experimental
design
Conduct experim
entAnalysis Confirm
result
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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
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EXPERIMENTAL DESIGN
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TAGUCHI TABLE
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MACHINE•MARSURF XR20
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DOE RESULT
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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
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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
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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
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TAGUCHI METHOD RESULT
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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
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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
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COMPARISON ERROR
• The DOE result of error show that value 0.0293
• The DOE is more accuracy than Taguchi
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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
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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
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COMPARISON IN GENERALLY
Characteristics
DOE Taguchi
Procedure Easy Difficult
Complexity Low High
Cost Low High
Flexibility High Low
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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.
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THANK YOU