A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete

Şimşek, Barış; İç, Yusuf Tansel; Şimşek, Emir H.

doi:10.1016/j.chemolab.2013.03.012

Cited by 111 publications

(51 citation statements)

References 38 publications

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“…The value of the loss function is further transformed into a signal-to-noise (S/N) ratio η using Eq'n (1) for each experiment [13][14][15][16]. In Eq'n.…”

Section: Taguchi Methodsmentioning

confidence: 99%

An Optimization Study for the Surface Quality of the Honing Process

Yurdakul¹,

İç²,

Gunes³

2018

dtetr

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In this study, it is aimed to experimentally optimize the interior honing process, which is applied to improve surface roughness of the internal cylinder surfaces of the hydraulic cylinders in a privately owned company. The hydraulic cylinders produced in the company are used in heavy construction machineries. In the application, the optimal values of the critical honing parameters are determined by applying two different experimental design approaches namely, Taguchi and response surface methodologies separately and compared. For interior honing process, linear speed of the honing head, tangential speed of the cylinders and abrasive grain size are considered as critical parameters in the minimization of the surface roughness in the study. Experimental results are provided to illustrate the effectiveness of the application.

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“…The value of the loss function is further transformed into a signal-to-noise (S/N) ratio η using Eq'n (1) for each experiment [13][14][15][16]. In Eq'n.…”

Section: Taguchi Methodsmentioning

confidence: 99%

An Optimization Study for the Surface Quality of the Honing Process

Yurdakul¹,

İç²,

Gunes³

2018

dtetr

View full text Add to dashboard Cite

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“…The average responses by factor levels can be designated by utilizing the additive property [18], [23]. Their associated factor effect plots are given in Figure 4 [18]. Since the effect values are smaller-the-better, normalization methods caused the final parameter design of A 2 B 2 C 3 D 2 which is given in Table 5.…”

Section: Topsis Based Taguchi Designmentioning

confidence: 99%

“…The positive ideal solution (S i + ), and negative ideal solutions (S i -) and C i * (i=1….9), are the surrogate responses for the multi-response minimization problem [18]. The average responses by factor levels can be designated by utilizing the additive property [18], [23].…”

Section: Topsis Based Taguchi Designmentioning

confidence: 99%

“…Signal to noise ratios (S/N) were calculated for the smaller the better type responses and given in columns 2-4. Let n ij be the S/N for the response j of experiment i and let y ijk be the experiment result for the response j of experimenti, in the k th replication; n is the total number of replications [18], [21]. The calculation of the S/N ratio can then be determined as [22];…”

Section: Topsis Based Taguchi Designmentioning

confidence: 99%

“…The details of this methodology were expressed in Şimşek et al [18]. PID controller algorithm which is dominant type in feedback controller finds wide application coverage in industry [19].…”

Section: Topsis Based Taguchi Design and Pid Controller Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

PID Control Performance Improvement for a Liquid Level System using Parameter Design

Şimşek¹,

Ultav²,

Küçük³

et al. 2016

International Journal of Applied Mathematics, Electronics and Computers

Self Cite

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Abstract:In this study, it is aimed to reduce the variability of parameters in the liquid level system controlled by PID controller for a laboratory scale device. An integrated methodology consisting of experimental design and feedback PID (proportional-integralderivative) controller was proposed to optimize and control the deviation from the average value in the offset value, variability in the offset value and the time to reach the set value in this liquid level system. The optimal valve opening levels that minimizes the average of the offset value (µ), variance (s 2 ) and the first time to reach the set value (t) were determined as 40%, 5%, 50% and 80%, respectively, using TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution)-based Taguchi method by Minitab®. A quite successful control was established in the verification test which performed with specified levels of optimal valve opening. Recovery rates in the control performance before and after optimizing the parameter were calculated as 9.53% in the deviation from the average value in the offset values, 29.37% in the variability in the offset value and 11.27% in the time to reach the set value. MATLAB/Simulink was used to simulate the liquid level system.

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Assessment of Vaccination Strategies Using Fuzzy Multi-criteria Decision Making

Lopez

Gunasekaran

2015

Advances in Intelligent Systems and Computing

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A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete

Cited by 111 publications

References 38 publications

An Optimization Study for the Surface Quality of the Honing Process

An Optimization Study for the Surface Quality of the Honing Process

PID Control Performance Improvement for a Liquid Level System using Parameter Design

Assessment of Vaccination Strategies Using Fuzzy Multi-criteria Decision Making

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