Orthogonal Experimental Design and Fuzzy Grey Relational Analysis for emitter efficiency of the micro-cylindrical combustor with a step

Zuo, Wei; Jiaqiang, E; Li, Xueling; Deng, Yuewen; Zhu, Huangqiu

doi:10.1016/j.applthermaleng.2016.04.148

Cited by 136 publications

(31 citation statements)

References 46 publications

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“…2.3.2 GRA This work aims to enhance the calcination temperature in the shaft calciner while maximizing the quality of CPC. GRA is an effective approach and uses the grey relational grade (GRG) to measure the correlation degree between the reference and comparison matrixes (Zuo et al, 2016). This method is used to evaluate the influence of the abovementioned calcination parameters on the temperature distribution in the shaft calciner.…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…Step 1: Normalization of the original data series. Factors and variables typically have different physical meanings and data dimensions (Zuo et al, 2016). To reduce the identification analysis error, the original data must be nondimensionalized before calculation.…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…Orthogonal design-based grey relational analysis (GRA) (Kadier et al, 2015;Zuo et al, 2016) is an efficient evaluation and optimization method that is widely used in many fields, such as engineering technology (Kuo et al, 2008;Wang et al, 2015), and buildings (Lee and Lin, 2011). Zuo et al (2016) studied the influence of factors on the emission efficiency of micro combustors using orthogonal design and fuzzy grey correlation analysis and found H 2 /air equivalence ratio to be the most important factor. Shinde and Pawar (2017) presented a multi-objective optimization method that uses orthogonal design-based GRA to improve journal bearing performance and found an optimal set of surface texturing parameters.…”

Section: Introductionmentioning

confidence: 99%

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Orthogonal Design-Based Grey Relational Analysis for Influence of Factors on Calcination Temperature in Shaft Calciner

Huang

et al. 2019

J. Chem. Eng. Japan / JCEJ

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Calcination temperature is the key factor a ecting the quality of calcined petroleum coke and dominated by calcination parameters in a shaft calciner. In this study, a method for evaluating the e ects of various factors on the temperature distribution in shaft calciners is proposed. A two-dimensional transient mathematical model was developed to describe the complex gas-solid coupled mass and heat transfer problems that occur during petroleum coke calcination in shaft calciners. In this model, a three-parallel-distributed activation energy model (DAEM)-reaction model was used to describe the pyrolysis kinetics of petroleum coke, and a dichotomy method was used to guarantee constant temperature in the ue of Layer 2 (T 2) to meet the operational control requirements in actual production. Then, a statistical method called orthogonal design-based grey relational analysis was used to quantize the in uence degree of salient factors (discharge rate per pot [DRPP], moisture content [MC], volatile content [VC], and volatile distribution ratio [VDR] in the ue of Layer 1) on the temperature distribution in the shaft calciner. An analysis of variance of the grey relational degree showed that VC was the most in uential factor, followed by DRPP and MC; VDR was the least in uential factor behind calcination temperature. Therefore, VC is the key factor a ecting the calcination temperature and must be strictly controlled during production.

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Section: Evaluation Methodsmentioning

confidence: 99%

Section: Evaluation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Orthogonal Design-Based Grey Relational Analysis for Influence of Factors on Calcination Temperature in Shaft Calciner

Huang

et al. 2019

J. Chem. Eng. Japan / JCEJ

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“…The column temperature was maintained at 30 ∘ C. The standard curve was used to determine the purity of the CDCA by HPLC [13][14][15]. [16]. Orthogonal experimental design is a popular method to deal with the test, including multiple factors and levels.…”

Section: Apparatus and Detection Fts135-ftir Spectrometermentioning

confidence: 99%

Study on the Factors Influencing the Extraction of Chenodeoxycholic Acid from Duck Bile Paste by Calcium Salt Method

Feng

Zhang

2018

Journal of Applied Chemistry

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New extraction technology of chenodeoxycholic acid from duck bile paste by calcium salt was investigated. The optimum conditions of extraction were determined by orthogonal experimental design. The results indicated that influencing factors on the extraction efficiency of chenodeoxycholic acid were as follows: hydrogen peroxide, methyl alcohol, glacial acetic acid, and calcium chloride. The optimum extracting conditions of chenodeoxycholic acid were 1000 mL amount of methyl alcohol, 50 mL amount of hydrogen peroxide, 500 mL amount of 20% calcium chloride, and 600 mL amount of 60% glacial acetic acid for a quantity of duck paste. The yield of chenodeoxycholic acid was 30%.

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“…It has been widely applied into impact factor analysis [30], scheme decision-making [31], and comprehensive assessments [32]. In this work, the improved grey relational analysis is adopted to analyze the orthogonal experimental results.…”

Section: Grey Relational Analysismentioning

confidence: 99%

CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

Cen

Song

Huang

et al. 2017

Mathematical Problems in Engineering

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In this work, a series of vented explosions in a typical compressor compartment are simulated using FLACS code to analyze the explosion venting characteristics. The effects of relevant parameters on the pressure peaks (i.e., overpressure and negative pressure) are also numerically investigated, including vent area ratio of the compressor compartment, vent activation pressure, mass per unit area of vent panels, and volume blockage ratio of obstacles. In addition, the orthogonal experiment design and improved grey relational analysis are implemented to evaluate the impact degree of these relevant parameters. The results show that the pressure peaks decrease with the increase of vent area ratio. There is an approximately linearly increasing relationship between the pressure peaks and the vent activation pressure. The pressure peaks increase with the mass per unit area of vent panels. The pressure peaks increase with the volume blockage ratio of obstacles. Based on the grey relational grade values, the effects of these relevant parameters on the overpressure peak are ranked as follows: volume blockage ratio of obstacles > vent activation pressure > vent area ratio > mass per unit area of vent panels. These achievements provide effective guidance for the venting safety design of gas compressor compartments.

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Orthogonal Experimental Design and Fuzzy Grey Relational Analysis for emitter efficiency of the micro-cylindrical combustor with a step

Cited by 136 publications

References 46 publications

Orthogonal Design-Based Grey Relational Analysis for Influence of Factors on Calcination Temperature in Shaft Calciner

Orthogonal Design-Based Grey Relational Analysis for Influence of Factors on Calcination Temperature in Shaft Calciner

Study on the Factors Influencing the Extraction of Chenodeoxycholic Acid from Duck Bile Paste by Calcium Salt Method

CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

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