Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes 2018
DOI: 10.5772/intechopen.69501
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Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes

Abstract: Design of experiment is the method, which is used at a very large scale to study the experimentations of industrial processes. It is a statically approach where we develop the mathematical models through experimental trial runs to predict the possible output on the basis of the given input data or parameters. The aim of this chapter is to stimulate the engineering community to apply Taguchi technique to experimentation, the design of experiments, and to tackle quality problems in industrial chemical processes … Show more

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Cited by 53 publications
(26 citation statements)
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“…The experimental design approach can be defined as the techniques devoted for directing the experiments choice to be executed in an efficacious way [ 17 ]. Taguchi method has broadly established its way as a method for the design of experiments.…”
Section: Methodsmentioning
confidence: 99%
“…The experimental design approach can be defined as the techniques devoted for directing the experiments choice to be executed in an efficacious way [ 17 ]. Taguchi method has broadly established its way as a method for the design of experiments.…”
Section: Methodsmentioning
confidence: 99%
“…The objective of the experiment is to find the most influencing parameter on the responses. The most important purpose is to set these parameters in such a way that optimal desirable response can be achieved, and the effect of the uncontrollable parameter can be minimized [44]. DOE provides various advantages such as (a) analyses a large amount of data with lesser resources (b) estimates the influence of each parameter on the responses more precisely, and (c) explains the interaction effect of process parameters on responses.…”
Section: Overview Of Awj Machining Of Frpsmentioning
confidence: 99%
“…To evaluate the results of the Taguchi experiments, first the signal‐to‐noise (S/N) ratios have to be determined based on the nominal‐the‐best criteria, 40 as shown in Equation (): 0.75emnormalS/Ni0.25em=10log()μi2σi2 where i is the experiment number 1 to 9: S/N i is the signal‐to‐noise ratio, μ i is the mean isotope ratio (R), and σ i is the standard deviation of the isotope ratio of the i th experiment. The S/N values were further evaluated to determine the mean of S/N per parameter per level.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, methods are needed for the simultaneous optimization of various parameters to determine their best combination. In the engineering sciences, the Taguchi design of experiments method is widely applied to optimize the performance of processes or the quality of a product with reduced costs 38–40 . With the orthogonal array of the Taguchi method, multiple parameters and multiple levels are run independently at the same time and evaluated subsequently, thereby reducing the number of experiments needed to aim at a certain target 38,41 …”
Section: Introductionmentioning
confidence: 99%