Optimizing parameters of warp fatigue life tester by response surface methodology

The aim of this article was to provide an effective measurement method of the warp dynamic load capacity based on a warp fatigue life tester for sized yarns. Five parameters which affected the fatigue life of warp, respectively, namely, load frequency, warp speed, pre-tension weight, heald frame stroke, and static tension of the warp fatigue life tester, were studied. First, the influences of the five parameters on warp fatigue life were analyzed through single-factor experiments, and then, the Box–Behnken design based on the response surface methodology was adopted to optimize warp fatigue life tester parameters. The results showed that the optimum parameter conditions of the warp fatigue life tester for warp fatigue life were as follows: when heald frame stroke at 77.16 mm, load frequency of 205.49 times/min, and static tension as 6.96 cN, the optimal warp fatigue life was 1394.05 times. The theoretical and experimental values were in reasonable agreement, and the relative error was less than 1%. Verification and repeated trial results showed that the optimal parameters had good reproducibility, and the warp fatigue life tester with the optimal parameters provided an effective and reliable evaluation to the warp frictional, stretching, and buckling effects.

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Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

Revista de Chimie ◽

10.37358/rc.17.2.5447 ◽

2017 ◽

Vol 68 (2) ◽

pp. 331-336

Author(s):

Gabriela Isopencu ◽

Mirela Marfa ◽

Iuliana Jipa ◽

Marta Stroescu ◽

Anicuta Stoica Guzun ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Nigella Sativa ◽

Polynomial Equation ◽

Herbaceous Plant ◽

Box Behnken Design ◽

Pareto Analysis ◽

Black Cumin ◽

Mediterranean Countries ◽

Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

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Optimization studies on Biosorption of Copper (II) by Crab Shell Using Response Surface Methodology(RSM)

Chemical Product and Process Modeling ◽

10.2202/1934-2659.1357 ◽

2010 ◽

Vol 5 (1) ◽

Author(s):

Sudesh S ◽

Meenakshi M ◽

Sheeja R.Y ◽

Thanapalan Murugesan

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Crab Shell ◽

Box Behnken Design ◽

Initial Ph ◽

Predicted Values ◽

Experimental Values ◽

The Individual ◽

Maximum Removal ◽

Good Agreement

In the present work, crab shell was used as the biosorbent to remove copper from aqueous solution. Batch experiments were performed at different initial copper concentration of copper solutions (1-40 g/l), initial pH (2-9), temperature (20-400°C), and biosorbent dosages (2-10 g/l). The maximum removal of copper using crab shell occurred at a pH of 3 and at a temperature of 400°C using an optimum biosorbent dosage of 5 g/l. A mathematical model was proposed to identify the effects of the individual interactions of these variables on the biosorption of copper. The results have been modeled using response surface methodology using a Box-Behnken design. The response surface method was developed using three levels (-1, 0, +1) with the above mentioned four factors. The second order quadratic regression model fitted the experimental data with Prob > F to be < 0.0001. The experimental values were found to be in good agreement with the predicted values, with a satisfactory correlation coefficient of R2 = 0.9999.

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Application of Response Surface Methodology Based on a Box-Behnken Design to Determine Optimal Parameters to Produce Brined Cabbage Used in Kimchi

Foods ◽

10.3390/foods10081935 ◽

2021 ◽

Vol 10 (8) ◽

pp. 1935

Author(s):

Hyeyeon Song ◽

Eun-woo Moon ◽

Ji-Hyoung Ha

Keyword(s):

Response Surface Methodology ◽

Regression Analysis ◽

Response Surface ◽

Water Loss ◽

Titratable Acidity ◽

Solid Content ◽

Soluble Solid Content ◽

Statistical Regression ◽

Optimal Parameters ◽

Box Behnken Design

The factors of brine time, concentration, and temperature, affect the high-quality production of brined cabbage used in Kimchi. Although changes in Kimchi cabbage quality depending on brine time and concentration have been reported, changes in brine temperature have not been explored. Here, we optimized the brine process considering specific conditions of temperature (15–25 °C), concentration (10–14%), and osmosis duration (14–18 h) affecting the characteristics such as pH, titratable acidity, soluble solid content, glucose, fructose, and lactic acid bacteria and mass transport (salt gain, water loss, and weight reduction). The optimal parameters were determined using multivariate statistical analysis using the Box–Behnken design combined with response surface methodology. For each response as qualitative characteristics, second order polynomial models were developed using multiple regression analysis. Analysis of variance was performed to check the adequacy and accuracy of the fitted models. The brine temperature and concentration affected salt gain and water loss; the optimal brining temperature, concentration, and time were 19.17 °C, 10.53%, and 15.38 h, respectively. Statistical regression analysis indicated that standardized brined cabbage can be produced efficiently using a brining tank at controllable temperature.

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Loteprednol Etabonate Nanoparticles: Optimization via Box-Behnken Design Response Surface Methodology and Physicochemical Characterization

Current Drug Delivery ◽

10.2174/1567201813666160801125235 ◽

2017 ◽

Vol 14 (5) ◽

Cited By ~ 3

Author(s):

Abhishek K. Sah ◽

Preeti K. Suresh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Physicochemical Characterization ◽

Loteprednol Etabonate ◽

Box Behnken Design

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Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

Biotechnology Research International ◽

10.1155/2016/4769542 ◽

2016 ◽

Vol 2016 ◽

pp. 1-13 ◽

Cited By ~ 5

Author(s):

Praveen Kumar Siddalingappa Virupakshappa ◽

Manjunatha Bukkambudhi Krishnaswamy ◽

Gaurav Mishra ◽

Mohammed Ameenuddin Mehkri

Keyword(s):

Response Surface Methodology ◽

Crude Oil ◽

Response Surface ◽

Oxygen Demand ◽

Inoculum Size ◽

Coefficient Of Determination ◽

Oil Removal ◽

Box Behnken Design ◽

Stenotrophomonas Rhizophila ◽

Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and % removal of crude oil.

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Studies of kerf width and surface roughness using the response surface methodology in AA 4032–TiC composites

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1177/09544089211041418 ◽

2021 ◽

pp. 095440892110414

Author(s):

TS Senthilkumar ◽

R Muralikannan ◽

T Ramkumar ◽

S Senthil Kumar

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Metal Matrix ◽

Electrical Discharge ◽

Electrical Discharge Machining ◽

Kerf Width ◽

Wire Electrical Discharge Machining ◽

Box Behnken Design ◽

Pulse On Time

A substantially developed machining process, namely wire electrical discharge machining (WEDM), is used to machine complex shapes with high accuracy. This existent work investigates the optimization of the process parameters of wire electrical discharge machining, such as pulse on time ( Ton), peak current ( I), and gap voltage ( V), to analyze the output performance, such as kerf width and surface roughness, of AA 4032–TiC metal matrix composite using response surface methodology. The metal matrix composite was developed by handling the stir casting system. Response surface methodology is implemented through the Box–Behnken design to reduce experiments and design a mathematical model for the responses. The Box–Behnken design was conducted at a confident level of 99.5%, and a mathematical model was established for the responses, especially kerf width and surface roughness. Analysis of variance table was demarcated to check the cogency of the established model and determine the significant process. Surface roughness attains a maximum value at a high peak current value because high thermal energy was released, leading to poor surface finish. A validation test was directed between the predicted value and the actual value; however, the deviation is insignificant. Moreover, a confirmation test was handled for predicted and experimental values, and a minimal error was 2.3% and 2.12% for kerf width and surface roughness, respectively. Furthermore, the size of the crater, globules, microvoids, and microcracks were increased by amplifying the pulse on time.

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Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball Bearings

Journal of Tribology ◽

10.1115/1.4002520 ◽

2010 ◽

Vol 132 (4) ◽

Cited By ~ 7

Author(s):

M. S. Patil ◽

Jose Mathew ◽

P. K. Rajendrakumar ◽

Sumit Karade

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Interaction Effect ◽

Damage Identification ◽

Experimental Studies ◽

Design Procedure ◽

Defect Size ◽

Ball Bearings ◽

Box Behnken Design ◽

Outer Race

The presence of defect in the bearing (outer race, inner race, or ball) results in increased vibrations. Time domain indices such as rms, crest factor, and kurtosis are some of the important parameters used to monitor the condition of the bearing. Radial load and operating speed also have an important role in bearing vibrations. The interaction between the defect size, load, and speed helps to study their effect on vibrations more effectively. Response surface methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and the outputs of a physical system. But so far, the literature related to its application in bearing damage identification is scarce. The proposed study uses RSM to study the influence of defect size, load, and speed on the bearing vibrations. Kurtosis is used as response factor. Experiments are planned using Box Behnken design procedure. Experiments are performed using 6305 ball bearings and the results have been presented. MINITAB statistical software is used for analysis. It is seen from the analysis of the experimental results that the defect size, interaction effect of defect size and load, and interaction effect of defect size and speed are significant. Response surface method using Box Behnken design and analysis of variance has proved to be a successful technique to assess the significant factors related to bearing vibrations.

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Optimization of phenolics and antioxidants extraction from Centaurium erythraea using response surface methodology

Research Journal of Pharmacy and Technology ◽

10.52711/0974-360x.2021.01116 ◽

2021 ◽

pp. 6455-6462

Author(s):

Wissam Zam ◽

Ali Ali ◽

Dimah Saleem ◽

Sahar Alali

Keyword(s):

Antioxidant Activity ◽

Response Surface Methodology ◽

Response Surface ◽

Volume Fraction ◽

Quadratic Model ◽

Natural Food ◽

Solvent Ratio ◽

Research Attention ◽

Experimental Values ◽

Centaurium Erythraea

In recent years, Centaurium erythraea extracts have attracted much research attention in the context of prevention or treatment of many diseases due to its bioactive compounds content and antioxidant activity. The antioxidants of C. erythraea are very effective as they possess excellent antioxidant activity. Thus, it can be used as a safe and natural food preservative. The aim of this study is to make extracts more effective by optimizing the extraction conditions of the phenolics and antioxidants from C. erythraea using response surface methodology (RSM) based on a central composite design (CCD). Two process variables (Methanol volume fraction and solid - solvent ratio) were evaluated at five levels (13 experimental designs). Multiple regression analyses were performed to obtain quadratic polynomial equations using RSM; each response was fitted by a quadratic model. The adequacy of the models was proven using the analysis of variance (ANOVA). The significant effects of the factors and their interactions on the extraction efficiency were investigated at 95% confidence interval. RSM indicated that the optimal extraction conditions were 71% methanol volume fraction and 2.2:10 solid:solvent ratio. Predicted values thus obtained were close to the experimental values indicating suitability of the model.

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Optimization of ultrasonic-assisted extraction of inulin from Jerusalem artichoke

E3S Web of Conferences ◽

10.1051/e3sconf/20197802007 ◽

2019 ◽

Vol 78 ◽

pp. 02007

Author(s):

Lina Yang ◽

Hongyun Zhang ◽

Jinghang Huang ◽

Yafan Zhao ◽

Danshi Zhu ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Jerusalem Artichoke ◽

Hot Water ◽

Ultrasonic Power ◽

Hot Water Extraction ◽

Box Behnken Design ◽

Assisted Extraction ◽

Ultrasonic Assisted ◽

Ultrasonic Assisted Extraction

An efficient ultrasonic-assisted extraction of inulin from Jerusalem artichoke was investigated by Response Surface Methodology (RSM). The results showed that the yield of ultrasonic-assisted extraction was 62.07 ± 0.39% over the microwave (40.85 ± 0.28%) and hot water extraction (27.42 ± 0.42%). The Box-Behnken Design (BBD) was used to optimize the effects of three parameters (temperature-X1, ultrasonic power-X2 and time-X3) on inulin yield. Analysis of variance showed that the contributions of X1, X3, X12, X13, X22 were significant. The optimal yield of inulin was 82.93 ± 1.03% at 82 °, 120 W and 18 min.

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