A Taguchi approach for optimization of design parameters in a tube with coiled wire inserts

Gunes, Sibel; Manay, Eyüphan; Şenyiğit, Ercan; Özceyhan, Veysel

doi:10.1016/j.applthermaleng.2011.04.022

Cited by 98 publications

(29 citation statements)

References 31 publications

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“…Subsequently, an additive model is used for predicting the influence of input parameters (i.e., control factors) on the response=output parameters, [28,30] defined as y. The additive model employs the summation of individual effects for each of the input parameters and their levels, along with the resulting errors, e, for each row of experiment, and is shown in Eq.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…[28] These orthogonal arrays (OA) provide a set of well-distributed experiments, the results of which are expressed in the form of Signal-toNoise ratios (S=N), where S and N refer to the mean and standard deviation of the input parameters, respectively. [30] The S=N values are log functions of desired output which serve not only as objective functions for optimization, but also are employed in data analysis and prediction of optimum results. [31,32] As proposed by Taguchi, [27] there could be three S=N values depending upon the target characteristics of the output (viz., smaller the better, nominal the best, and larger the better), given by the following equations:…”

Section: Taguchi Methodsmentioning

confidence: 99%

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Application of the Taguchi Method in Establishing Criticality of Parameters that Influence Cracking Characteristics of Fine-Grained Soils

Uday¹,

Prathyusha

Singh

et al. 2015

Drying Technology

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Extensive studies have been conducted by earlier researchers to understand cracking characteristics of fine-grained soils. Based on these studies, several theories and models which facilitate understanding the effect of various soil-and environment-specific parameters (viz., clay content, plasticity, free swelling index, specimen dimensions, boundary conditions, temperature, and humidity) that influence cracking characteristics of such soils have been proposed. A critical synthesis of the existing literature reveals that selection of any crack sealing/arresting technique would largely depend on the most critical of these parameters. However, studies related to identification of this critical parameter(s) and its (their) influence on cracking characteristics of fine-grained soils are not available in the existing literature. Hence, efforts have been made in the present study to establish the effect of each of these parameters on the cracking characteristics of fine-grained soils and the most critical parameter(s) has/have been identified. To achieve this, the Taguchi method, which is basically a statistical method and has been widely adopted for designing experiments and optimizing and/or detecting the most influential parameter(s) from the set of parameters of any multi-variant problem, has been employed. From the present study, it has been demonstrated that temperature, humidity, and mineralogy are the most critical parameters that affect cracking behavior of fine-grained soils.

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Section: Taguchi Methodsmentioning

confidence: 99%

Section: Taguchi Methodsmentioning

confidence: 99%

Application of the Taguchi Method in Establishing Criticality of Parameters that Influence Cracking Characteristics of Fine-Grained Soils

Uday¹,

Prathyusha

Singh

et al. 2015

Drying Technology

View full text Add to dashboard Cite

show abstract

“…Gunes et al [19] applied Taguchi method to determine the optimum values of the design parameters viz. distance between the coiled wire and test tube wall to tube diameter (s/D), pitch ratio (P/D), ratio of the side length of equilateral triangle to tube diameter (a/D) and Reynolds number (Re) on the basis of heat transfer and friction characteristics in a tube with equilateral triangular cross sectioned coiled wire inserts.…”

Section: Introductionmentioning

confidence: 99%

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

Chamoli

2015

Case Studies in Thermal Engineering

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a b s t r a c tThis study presents the optimum design parameters of the rectangular channel with V down perforated baffle turbulators using a Taguchi experimental design method. The experimental investigation for the established rectangular channel involves V down perforated baffles attached to the one of the broad wall of the channel having various roughness parameters. The effects of the four design parameters such as Reynolds number, open area ratio, relative roughness height and relative roughness pitch are investigated. In the Taguchi experimental design method, Nusselt number and friction are considered as performance parameter. An L 16 (4 4 ) orthogonal array is chosen as an experimental plan for the design parameters. The analysis of Taguchi method conducted with the goal of optimization process for minimum friction factor (minimum pressure drop) and maximum Nusselt number (maximum heat transfer) for the designed V down perforated baffle roughened rectangular channel. The optimum configurations of control factors for Nusselt number and friction factor are A 2 B 2 C 1 D 4 and A 4 B 1 C 4 D 3 , respectively. Experimental results validated the suitability of the proposed approach.

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“…Taguchi's theory based on OAs is usually applied to reduce the number of experiments in order to optimise the quality of the process [14]. The main concept behind Taguchi's method is to utilise the least possible number of experiments rather than the whole full factorial technique to calculate the individual contribution of each dependent variable in the experiment reference to the impendent variables or parameters.…”

Section: Taguchi's Oasmentioning

confidence: 99%

Condition monitoring of helical gears using automated selection of features and sensors

2016

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The selection of most sensitive sensors and signal processing methods is essential process for the design of condition monitoring and intelligent fault diagnosis and prognostic systems. Normally, sensory data includes high level of noise and irrelevant or redundant information which makes the selection of the most sensitive sensor and signal processing method a difficult task. This paper introduces a new application of the Automated Sensor and Signal Processing Approach (ASPS), for the design of condition monitoring systems for developing an effective monitoring system for gearbox fault diagnosis. The approach is based on using Taguchi's orthogonal arrays, combined with automated selection of sensory characteristic features, to provide economically effective and optimal selection of sensors and signal processing methods with reduced experimental work. Multi-sensory signals such as acoustic emission, vibration, speed and torque are collected from the gearbox test rig under different health and operating conditions. Time and frequency domain signal processing methods are utilised to assess the suggested approach. The experiments investigate a single stage gearbox system with three level of damage in a helical gear to evaluate the proposed approach. Two different classification models are employed using neural networks to evaluate the methodology. The results have shown that the suggested approach can be applied to the design of condition monitoring systems of gearbox monitoring without the need for implementing pattern recognition tools during the design phase; where the pattern recognition can be implemented as part of decision making for diagnostics. The suggested system has a wide range of applications including industrial machinery as well as wind turbines for renewable energy applications.

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A Taguchi approach for optimization of design parameters in a tube with coiled wire inserts

Cited by 98 publications

References 31 publications

Application of the Taguchi Method in Establishing Criticality of Parameters that Influence Cracking Characteristics of Fine-Grained Soils

Application of the Taguchi Method in Establishing Criticality of Parameters that Influence Cracking Characteristics of Fine-Grained Soils

A Taguchi approach for optimization of flow and geometrical parameters in a rectangular channel roughened with V down perforated baffles

Condition monitoring of helical gears using automated selection of features and sensors

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