Browsing by Subject "Analysis of variance (ANOVA)"
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Item Optimization of counter flow Ranque-Hilsch vortex tube performance using Taguchi method(2009) Pinar A.M.; Uluer O.; Kirmaci V.This study discusses the application of Taguchi method in assessing maximum temperature gradient for the Ranque-Hilsch counter flow vortex tube performance. The experiments were planned based on Taguchi's L27 orthogonal array with each trial performed under different conditions of inlet pressure, nozzle number and fluid type. Signal-to-noise ratio (S/N) analysis, analysis of variance (ANOVA) and regression analysis were carried out in order to determine the effects of process parameters and optimal factor settings. Finally, confirmation tests verified that Taguchi method achieved optimization of counter flow Ranque-Hilsch vortex tube performance with sufficient accuracy. © 2009 Elsevier Ltd and IIR.Item Statistical investigation of hydraulic driven circular interpolation motions(2012) Pinar A.M.; Gullu A.; Taskin S.In this study, a twin-axis gantry has been structured to examine hydraulic driven positioning skills of the curvilinear motions based on ISO 230-4 standard entitled 'Circular tests for numerically controlled machine tools'. The system is controlled by a path and position control module of a PLC device. As a result of the experiments conducted based on the full factorial design, the effects of piston diameter, feed rate, radius and their two-way interactions on the circularity error are determined through analysis of variance. Accordingly, minimum circularity error is obtained with the piston diameter of 63 mm, inertia load of 12. 5 kg, radius of 5 mm and feed rate of 50 mm/min as 0. 345 mm. Circularity error increases with the increase of inertia load, radius and feed rate, and declines with the increase of piston diameter. Lastly, piston diameter has the greatest effect on the circularity error change and followed by radius, feed rate, piston diameter-radius, radius-feed rate, piston diameter-feed-rate, inertia load, piston diameter-inertia load, and inertia load-radius factors and interactions. © 2012 Indian Academy of Sciences.Item A comparison of cooling methods in the pocket milling of AA5083-H36 alloy via Taguchi method(Springer-Verlag London Ltd, 2016) Pinar A.M.; Filiz S.; Ünlü B.S.In this study, classical and vortex tube cooling methods are compared in the pocket machining of AA5083-H36 alloy with uncoated cemented carbide cutting tool. The effects of cutting speed, feed rate, axial/radial depth of cut and nose radius and their two-way interactions on the surface roughness, and the optimization of surface roughness are investigated via Taguchi method. The experiments conducted based on Taguchi’s L16 orthogonal array (OA) are assessed with analysis of variance (ANOVA) and signal to noise (S/N) ratio. As a result, in both cooling methods, it is obtained that roughness correlates negatively with cutting speed and radial depth of cut and positively with feed rate and axial depth of cut. While in the cooling with vortex tube, lower average Ra values are observed in the experiments with the nose radius of 0.8 mm, in the classical cooling almost no change is obtained. Lastly, optimum roughnesses for the classical and vortex tube cooling are obtained as 0.164 and 0.188 μm, respectively. © 2015, Springer-Verlag London.Item Mobile devices use in analyzing the engineering students attitude towards programming by using a fuzzy logic technique(John Wiley and Sons Inc, 2021) Ozdemir A.; Balbal K.F.; Senel B.C.The aim of this study is to use mobile devices in the determination of engineering students' attitudes towards programming by using a fuzzy logic technique. First of all, a mobile game that is played by engineering students is developed to make learning programming more enjoyable. After that, the proposed fuzzy logic-based attitude determination system which runs on mobile devices comes into play. Student answers and gives points between 1 and 5 to the survey questions which are presented by the developed mobile application. These points are first evaluated in the fuzzification step by using membership functions and then the fuzzied input is given to the rule base step. To get crisp output value, fuzzied output is defuzzified at the last step of the fuzzy logic-based system. Hence the attitude of the student towards programming is inferenced. The developed system is carried out with 100 first-grade students of the software engineering department. Frequency, mean, standard deviation, normality, t test, and analysis of variance (ANOVA) analyses are performed with the obtained data. Results show that the proposed fuzzy logic-based system performs much better than the classical approach. As a result of Article Reliability Analysis of the Attitude Scale Towards Mobile Learning, the scale is found highly reliable. A significant difference is found in favor of fuzzy logic-based attitude score among classical logic-based attitude scores as a result of the paired-samples t test. The results of t test and ANOVA tests according to gender, mother, and father education levels are found not statistically significant. © 2020 Wiley Periodicals, Inc.Item Determination of optimum manganese amount by response surface methodology with alcohol–gasoline fuel blend in an SI engine(Springer Science and Business Media Deutschland GmbH, 2022) Ustun S.In this study, the response surface methodology (RSM) was used to optimize the addition of different amounts of manganese to a spark-ignition (SI) engine operating with alcohol–gasoline fuel blend. The content of the fuel blend used was set to 7.5% fusel oil, 7.5% ethanol and 85% gasoline. By adding 4, 8, 12 and 16 ppm manganese to this fuel mixture, tests were carried out at different engine speeds (2500, 2750, 3000 and 3250 rpm). An analysis of variance (ANOVA)-supported RSM model was created to determine the optimum engine speed/manganese amount and responses according to optimum engine conditions. According to the optimization results obtained from RSM, the optimum manganese amount and engine speed were found as 3 ppm and 2650 rpm, respectively. In addition, the responses according to optimum engine conditions are 26.237 Nm, 8.262 kW, 385.749 g/kWh, 666.924 °C, 7.079%, 34.3115 ppm, 7.921% and 140.428 ppm for torque, power, brake specific fuel consumption (BSFC), exhaust gas temperature (EGT), carbon monoxide (CO), hydrocarbon (HC), carbon dioxide (CO2) and nitrogen oxide(NOx), respectively. Moreover, according to the validation tests for the reliability of the optimization results, the error rates were below 10%. Based on these results, it can be said that RSM can successfully determine the amount of manganese to be added to the SI engine operating with dual alcohol/gasoline blends. © 2021, Islamic Azad University (IAU).