Taguchi metho ppt

8/17/2019 Taguchi metho ppt

1/17

Design of Experiments

using Taguchi Approach

SAURABH VERMA

Sinhgad Institues of Technology, lonavala

Guided by

!of" M" A" Mohite


2/17

The word "design" in "design of experiments"implies a formal layout of the experiments that

contains information about how many tests are

to be carried out and the combination of factors

included in the study.

For improvement, our goal is to move the

performance of a population of parts to the

target and minimize the variability around it


3/17

DOE can be highly effective when you wish to:

Optimize product and process designs, study the effects of

multiple factors on the performance.Study influence of individual factors on the performance

and determine which factor has more influence, which ones

have less.

!#OSO!$ OF T!% T&'()! *%T!O+

. -uality should be designed into a product, not inspected

into it.

. -uality is best achieved by minimizing the deviation

from a target


4/17

The experimental design proposed by Taguchi involves using

orthogonal arrays to organize the parameters affecting the

process and the levels at which they should be varies. The a!!ays a!e selected by the number of

parameters #va!iables$ and the number oflevels #states$"

The Taguchi method is best used when there is anintermediate number of variables (3 to 5!" few interactions

between variables, and when only a few variables contribute

significantly.

Taguchi%s &a!a'ete! design is an i'&o!tant toolfo! !obust design" T(o 'a)o! tools used in !obustdesign a!e*

signal to noise !atio

o!thogonal a!!ays


5/17


6/17

Order Of Running Experiments The!e a!e t(o co''on (ays of !unning e+&e!i'ents"

Su&&ose an e+&e!i'ent uses an -. a!!ay and each t!ial is

!e&eated / ti'es" Ho( a!e the /+.012 e+&e!i'ents ca!!iedout3

Randomization* 4$ Re&lication

1$ Re&etition

Quality / Performance Characteristics5uality 6ha!acte!istic #56$ gene!ally !efe!s to the 'easu!ed

!esults of the e+&e!i'ent

56 also !efe!s to the natu!e of the &e!fo!'ance ob)ectivessuch as 7la!ge! is bette!7#B$, 7s'alle! is bette!7#SB$ o!7no'inal is the best7#8B$


7/17

O#T$O%O&A' A##A)

9 o!thogonal a!!ay

:o! 8 !e&lications

/nowing the number of parameters and the number of levels, the

proper orthogonal array can be selected.


8/17

Data Analysis

n the Taguchi method the results of the experiments are analyzed to achieve

the following ob0ectives123 to establish the best or optimal condition for the product or process,

23 to establish the contribution of individual factors, and

243 to estimate the response under optimal conditions

Methodologies in ca!!ying out the co'&lete o!thogonal a!!ayanalysis*

. &5O6&

. S75 ratio


9/17

)*& ratio

The average S75 value is calculated for each factor and level

8o'inal is best

S'alle! isbette!

a!ge! is

bette!


10/17

#ange an+ ran, of parameters

The range 8 28 9 high S5 : low S53of the S5 for each parameter is

calculated and entered into the table. The larger the 8 value for a parameter,

the larger the effect the variable has on the process


11/17

A+vantages

Taguchi method is that, it emphasizes a mean performancecharacteristic value close to the target value rather than a value

within certain specification limits, thus improving the product

;uality.

Taguchi


12/17

Disa+vantages

orthogonal arrays do not test all variable combinations,this method should not be used where all relationships

between all variables are needed.

The Taguchi method have difficulty in accounting for

interactions between parameters.Taguchi methods deal with designing ;uality in rather

than correcting for poor ;uality, they are applied most

effectively at early stages of process development.

&fter design variables are specified, use of experimental

design may be less cost effective.


13/17

O-T./.0AT.O& O1 1'A&2 EA# 4).&%

0.#O&.A TO4%$E&ED A'4/.&A (0TA!

4TT.&% TOO'

;b)ectivee!fo!'ance cha!acte!istics- lo(e! s'alle! is bette!?

@esign &a!a'ete!s-


14/17

Experimental results

A8;VAanalysis

Main eects &lot fo!S8 !atios


15/17

-re+iction for optimi6e+ value of flan, wear

5 eff 9 4.>?@ ) 9 A B.BB?C?

B.D? Em Sopt B.@@ Em


16/17

O&'4).O&

&n advantage of the Taguchi method is that it emphasizes a mean performance

characteristic value close to the target value rather than a value within certain

specification limits, thus improving the product ;uality.

Taguchi

variables, each with 4 states, would re;uire D?D 24 >3 experiments to test all

variables. !owever using Taguchi experiments arenecessary, or less than B.4G of the original number of experiments.

Hy applying this techni;ue one can significantly reduce the time re;uired for

experimental investigation, as it is effective in investigating the effects of multiple

factors on performance as well as to study the influence of individual factors to

determine which factor has more influence, which less.


17/17

#E1E#E&E)

IJ Stephanie Fraley, *i=e Oom, Hen Terrien, Kohn Lalews=i, M+esign ofexperiments via taguchi methods1 orthogonal arraysN, *ay BBD

IJ 8an0it /. 8oy, M+esign of %xperiments using Taguchi &pproachN, 5ute= ::

44

I4J /hurrum S Hhutta, MTaguchi &pproach To +esign Of %xperimentsN,

+epartment of nformation Systems, 5icholls State (niversity, Thibodaux, : @:?.

IJ 5ilrudra *andal , H. +oloi , H. *ondal , 8eeta +as , MOptimization of flan=

wear using Lirconia Toughened &lumina 2LT&3 cutting tool1 Taguchi method and

8egression analysisN, *easurement, *arch B, : C:??.

I?J /o:Ta )hiang, MOptimization of the design parameters of arallel:lain Fin

heat sin= module cooling phenomenon based on the Taguchi methodN, nternationalcommunications in !eat and mass transfer, Kune BB?, : C4:B.

IDJ K.&. 'hani, .&. )houdhury, !.!. !assan, M&pplication of Taguchi method in

the optimization of end milling parametersN, Kournal of *aterials rocessing

Technology, BB, :>:C

Taguchi metho ppt

Documents

Transcript of Taguchi metho ppt