Labyrinth Seal Design Optimization Based on Quadratic Regression Orthogonal Experiment

Cao, Lihong; Si, Hu; Li, Pan; Li, Yong

doi:10.4236/epe.2017.94b025

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…QROD is developed from classic orthogonal design, which is designed for linear or non-linear regression analysis with a small experimental cost. The design allows the interaction terms to be detected in the regression analysis and proved to be efficient in previous study [38][39][40]. In QROD, to protect the orthogonality of experiment design, levels of factors were calculated by a specially designed algorithm, as shown in Eq.…”

Section: Methods For the Experimental Designmentioning

confidence: 99%

Interactions and comprehensive effect of indoor environmental quality factors on occupant satisfaction

Tang

Ding

Singer

2020

Building and Environment

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In this study, eight subjects were exposed in a simulated office to 31 combinations of indoor environmental conditions, assigned by orthogonal design and uniform design. Conditions comprised variations of Predicted Mean Vote (PMV), illuminance, sound pressure and CO2 concentration (independent of a consistent ventilation rate) as indicators of thermal, lighting, acoustic and indoor air quality. Participant satisfaction with each of the four factors and with overall environmental conditions were measured with a questionnaire. Multiple interactions were detected with a partial correlation analysis and regression analysis.Results showed an adjusted effect of illuminance on perceived acoustic environment, a significant effect of the thermal environment on indoor air quality satisfaction, and a slight effect of sound pressure on indoor air quality satisfaction. Linear and geometric mean regression models were investigated for predicting overall satisfaction from the factor satisfaction scores. For the linear model, it was determined that multicollinearity among factor satisfaction levels may result in non-significant and biased estimated coefficients. The geometric mean regression model provides better prediction accuracy than the linear regression model with fewer coefficients, and accounts for the finding that the lowest satisfaction level with any environmental factor appears to drive overall satisfaction.

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Section: Methods For the Experimental Designmentioning

confidence: 99%

Interactions and comprehensive effect of indoor environmental quality factors on occupant satisfaction

Tang

Ding

Singer

2020

Building and Environment

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“…4. After significance test on regression coefficients and regression formulas, the equations that relate the four working parameters to NOx for the two operating conditions were formulated as follows [23,24].…”

Section: Mpfi With 10% Egr Flow Rate For Pilot Injection At -54atdc A...mentioning

confidence: 99%

Controlling Nox in Modified High Pressure Split Injection Single Cylinder Diesel Engine with EGR-A Mathematical Approach

Balaji,

Yeditha,

Premkumar

et al. 2023

IJHT

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A single cylinder low powered diesel engine of 3.5kW was modified to run on Common rail direct injection high pressure split injection system. This modified engine was tested to run on the neat diesel with ultra-cooled exhaust gas recirculation. The adjustable working parameters i.e., injection pressures 200bar, 230bar, 250bar, 300bar and 350bar, retarded injection -11°, split injection -54° and -11°. After Top dead center position, Exhaust gas recirculation flow rates 5% & 10% respectively are tested on this engine under two typical operating conditions of ¼ full load of 0.875kW and ¾ full load of 2.625kW respectively. Single factor and multifactor orthogonal quadratic regression analysis has been carried to determine the effect of these 4 working parameters on engine emissions NOx. The mathematical equations characterizing the relationship between these 4 operating variables are formed. The equation of the NOx and noise was from the orthogonal regressive test under 1/4 Full load and ¾ Full load conditions was set as the objective function and the ranges of these 4 working variables are given as the constraint condition. Models of non-linear programming were then formulated and solved by using statistical analytical software. Test results showed that 10% Single Injection generates NOx of 194.87 parts per million while 10% Multiple fuel injection generates 199 while the minimum NOx that can be produced is 134.27.

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“…Quadratic orthogonal regression design is an experimental design method of a multivariate statistical analysis based on response surface methodology (RSM). It has been fully verified to have a high superiority in the research of quantitative relationships among multiple variables, and applied widely in agrotechny, engineering, biology, and many other fields, to obtain an optimum technology parameter 14 – 16 .…”

Section: Introductionmentioning

confidence: 99%

Optimization of brewing conditions for Tieguanyin oolong tea by quadratic orthogonal regression design

et al. 2022

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Tieguanyin is one of the most consumed oolong teas because of its distinctive flavor. The brewing process is crucial for the flavor performance of traditional teas, thus the effects of brewing conditions, including water/tea ratio (R), brewing temperature (T), and time (S) on the sensory traits, chemical composition, and antioxidant activity of Tieguanyin tea infusion were investigated using quadratic orthogonal regression design. Results showed that R affected all the quality variables most, its reduction could lead to the promotion of tea infusion concentration, antioxidant activity, and taste intensity, which was favored by the tea consumers drinking tea almost daily (DTD) but unacceptable for those drinking tea hardly (DTH). Based on the optimization of brewing conditions in response surface methodology (RSM), we recommended several brewing schemes for diverse consume goals: R = 34 mL/g, T = 80 °C, S = 80 s for DTH; R = 39 mL/g, T = 100 °C, S = 127 s for DTO (the consumers drinking tea occasionally); R = 20 mL/g, T = 100 °C, S = 100 s for DTD; R = 26 mL/g, T = 100 °C and S = 127 s for the common consumers seeking for flavor and health benefits. These results would be helpful for tea consumers with multiple demands.

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Labyrinth Seal Design Optimization Based on Quadratic Regression Orthogonal Experiment

Cited by 5 publications

References 12 publications

Interactions and comprehensive effect of indoor environmental quality factors on occupant satisfaction

Interactions and comprehensive effect of indoor environmental quality factors on occupant satisfaction

Controlling Nox in Modified High Pressure Split Injection Single Cylinder Diesel Engine with EGR-A Mathematical Approach

Optimization of brewing conditions for Tieguanyin oolong tea by quadratic orthogonal regression design

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