The use of Taguchi, ANOVA, and GRA methods to optimize CFD analyses of ventilation performance in buildings

Yüce, Bahadır Erman; Nielsen, Peter; Wargocki, Paweł

doi:10.1016/j.buildenv.2022.109587

Cited by 42 publications

(19 citation statements)

References 40 publications

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“…Taguchi method uses signal/noise ratios (S/N) to obtain the importance order of parameters, contribution ratios, and best-and worst-case scenarios [22]. Yuce et al [23] discussed the solution steps and advantages of the Taguchi method in detail. Details on the methodology can be accessed from the related study.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…Delta values are calculated by the difference between the maximum and minimum S/N ratios for each parameter. The parameter with the largest delta value represents the most effective parameter [23].…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…ANOVA is a commonly employed statistical method that helps understand the impact of each variable on the experimental outcome. The procedure for ANOVA includes the following steps [23]:…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

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Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model

Yüce

2023

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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The coronavirus pandemic has caused many deaths and affected societies with social and economic problems as a consequence of its effect. Many different measures were taken to stop or reduce the spread of the virus like wearing a face mask and reorganizing school activities, transportation, and meetings. As an alternative to these measures, ventilation is a critical engineering solution that can help reduce the infection risk in the indoor environment. In this study, the effects of ventilation parameters (volume, ACH) and breathing rates on the Wells-Riley method-based infection risk probability were investigated by the Taguchi method. The orthogonal array was used to create the experimental design. Then, each parameter was analyzed according to the performance criterion (infection risk probability) using signal-to-noise (S/N) ratios and the order of importance of the parameters was calculated. Consequently, these data were used to identify worst-case and best-case scenarios to minimize the risk of infection in the indoor environment.

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Section: Taguchi Methodsmentioning

confidence: 99%

Section: Taguchi Methodsmentioning

confidence: 99%

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Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model

Yüce

2023

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

Self Cite

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“…However, the abrasive slurry has been shown to improve surface roughness overall by about 11%. 10,11 Delamination during post-assembly can be decreased by reducing die and mould thickness. The copper thickness has no effect on the energy release rate.…”

Section: Introductionmentioning

confidence: 99%

Effects of machining parameters on H13 die steel using CNC drilling machine

KB,

et al. 2023

Composites and Advanced Materials

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In order to enhance the fitness of the product and in order to improve productivity in turning operations, greater amount of challenges have been faced. In this paper, we have made a comparative analysis of HSS and carbide coated HSS drills while machining with H13 steel plates. For the drilling operation, process parameters were analysed using the Taguchi design of experiments. The response performance characteristics of surface roughness of H13 die steel plates for the drilling settings, cutting speed (rpm), and feed rate (mm/min) is optimized. The design of the experiment was conducted using the Taguchi technique for the L18 orthogonal array, and an analysis of variance was observed. The effect of drilling settings on the quality of drilled holes is examined; variation in surface roughness for various levels of speed and feed and the different combinations of these levels will form an L18 orthogonal array design of experiment by Taguchi analysis. A total of 36 cutting tests were performed with two different drill bits; here three different cutting speeds of 300, 600, and 900 rpm were taken with a feed rate of 0.02, 0.04, and 0.06 mm/rev combinations. The response of SN ratio for surface roughness of HSS and carbide tool has been found out for different levels of speed and feed. From this Taguchi analysis, it is identified that the optimal parameter. As a result, the factors are analysed, and optimized parameters have been concluded for H13 material using HSS, and carbide tools were examined both statistically and experimentally. The carbide coated drill bit gives 60% better surface roughness value based on experimental data obtained. The surface roughness value based on experimentation for HSS tool was found to be 34.16% and carbide coated drill bit was 23.40%.

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“…These tools are especially useful in large production batches or in large productions over time where the large amount of data make it possible to study and control the process variables practically in real time. Several research studies mention that ANOVA has proved to be a very useful statistical tool to identify the factors of the most important variable in industrial processes [39,40]. Agboola et al [41] tested samples of medium C steel to experimental quenching by modifying the liquid medium, the soaking time and the austenitizing temperature.…”

Section: Introductionmentioning

confidence: 99%

Study of Cooling Medium Variables during Quenching in SAE 4340 Steel Using Statistical and Modeling Tools

Puga-Patlán,

Lopez-Garcia,

Medina-Juárez

et al. 2023

Metals

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Although quenching is one of the most widely used heat treatments in the metal-mechanical industry to improve the mechanical properties of steels, it is also responsible for the generation of residual stress, distortion, and fractures in the treated parts. The high-temperature gradients present during quenching and martensitic transformation are the main failure mechanisms. Cooling is the critical quenching stage where several variables that need to be controlled are involved in reducing these problems. The objective of this research was to evaluate the main variables in the quenching process in SAE 4340 steels, which promote distortion, residual stress accumulation, and fracture failures. A 2ᴷ factorial experiment was designed, samples with C-ring geometry susceptible to changes in quenching variables were used, and the variables studied were the agitation and temperature of the quenching medium. Experimental measurements, statistical tools and modeling were used to evaluate and predict the distortion generated in quenched samples. Such tools include Minitab 21® software and its statistics utilities. Furthermore, a finite element method model was carried out using STFC Deform®. The results suggest that there are optimal conditions in the quenching process to minimize distortion and residual stresses and to improve mechanical properties of quenched parts; therefore, the methods used in this work could be useful to detect and control the appearance of defects in an industrial environment.

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The use of Taguchi, ANOVA, and GRA methods to optimize CFD analyses of ventilation performance in buildings

Cited by 42 publications

References 40 publications

Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model

Application of the Taguchi and ANOVA Methods to Optimize Ventilation Parameters for Infection Risk Based on the Wells-Riley Model

Effects of machining parameters on H13 die steel using CNC drilling machine

Study of Cooling Medium Variables during Quenching in SAE 4340 Steel Using Statistical and Modeling Tools

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