Doymaz, Fuat
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Doymaz, F.
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03.02. Department of Chemical Engineering
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2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
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4QUALITY EDUCATION
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5GENDER EQUALITY
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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4
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Scholarly Output Search Results
Now showing 1 - 4 of 4
Master Thesis Control, Optimization and Monitoring of Portland Cement (pc 42.5) Quality at the Ball Mill(Izmir Institute of Technology, 2006) Avşar, Hakan; Doymaz, Fuat; Doymaz, FuatIn this study, artificial neural networks (ANN) and fuzzy logic models were developed to model relationship among cement mill operational parameters. The response variable was weight percentage of product residue on 32-micrometer sieve (or fineness), while the input parameters were revolution percent, falofon percentage, and the elevator amperage (amps), which exhibits elevator charge to the separator. The process data collected from a local plant, Cimenta Cement Factory, in 2004, were used in model construction and testing. First, ANN (Artificial Neural Network) model was constructed. A feed forward network type with one input layer including 3 input parameters, two hidden layer, and one output layer including residue percentage on 32 micrometer sieve as an output parameter was constructed. After testing the model, it was detected that the model.s ability to predict the residue on 32-micrometer sieve (fineness) was successful (Correlation coefficient is 0.92). By detailed analysis of values of parameters of ANN model.s contour plots, Mamdani type fuzzy rule set in the fuzzy model on MatLAB was created. There were three parameters and three levels, and then there were third power of three (27) rules. In this study, we constructed mix of Z type, S type and gaussian type membership functions of the input parameters and response. By help of fuzzy toolbox of MatLAB, the residue percentage on 32-micrometer sieve (fineness) was predicted. Finally, It was found that the model had a correlation coefficient of 0.76. The utility of the ANN and fuzzy models created in this study was in the potential ability of the process engineers to control processing parameters to accomplish the desired cement fineness levels. In the second part of the study, a quantitative procedure for monitoring and evaluating cement milling process performance was described. Some control charts such as CUSUM (Cumulative Sum) and EWMA (Exponentially Weighted Moving Average) charts were used to monitor the cement fineness by using historical data. As a result, it is found that CUSUM and EWMA control charts can be easily used in the cement milling process monitoring in order to detect small shifts in 32-micrometer fineness, percentage by weight, in shorter sampling time interval.Master Thesis Development of Univariate Control Charts for Non-Normal Data(Izmir Institute of Technology, 2006) Çiflikli, Cihan; Doymaz, FuatIn this study, a new control chart methodology was developed to address statistical process monitoring issue associated with non-normally distributed process variables. The new method (NM) was compared aginst the classical Shewhart control chart (OM) using synthetic datasets from normal and non-normal distributions as well as over an industrial example. The NM involved taking the difference between the specified probability density estimate and non-parametric density estimate of the variable of interest to calculate an error value. Both OM and NM were found to work well for normally distributed data when process is in-control and out-of control situation. Both methods could be returned back to normal operation upon feeding in control data. In case of non-normally distributed data, the OM failed significantly to detect small shifts in mean and standard deviation, however the NM maintained its performance to detect such changes. In the application to an industrial case (data were obtained from a local cement manufacturer about a 90 micrometer sieve fraction of the final milled cement product), the NM methodology outperformed the OM by recognizing the change in the mean and variance of the measured parameter. The data were tested for its distribution and were found to be non-normally distributed. Violations beyond the control limits in the new developed technique were easily observed. The NM was found to successfully operate without the necessity to apply run rules.Master Thesis Modeling of Collection of Non-Spherical Particle Assemblies by Liquid Droplets Under Potential Flow Conditions(Izmir Institute of Technology, 2006) Selvi, İlker; Doymaz, FuatA model, which explains the collection of non-spherical particle assemblies by liquid droplets, was constructed. The system was investigated under potential flow conditions. It was possible to generate the streamlines around the particles and droplets via potential flow theory. Therefore, the complexity coming from eddies and vorticity was eliminated. Non-spherical particles and agglomerated particles were modeled using equivalent diameter assumption due to the boundary layer, rotation, and oscillation behaviors of the particles. Collection probability was calculated as a function of three different collection mechanisms: collision, adhesion, and engulfment. The interaction forces between particles and droplets were divided into two groups as external and internal forces. The gravitational force and the drag force due to the uniform flow rate caused collection mechanisms. Van der Waals and Electrostatic interactions were investigated in order to explain adhesion and wetting mechanisms. Through simulations, we have found that particle and droplet diameters were the most influencing parameters on the collision mechanism. The engulfment possibility could be increased by adding surfactant to the liquid solution. The results of this model showed similarities with the other models in the literature, as well as with that of the experimental studies.Master Thesis Investigating the Role of Zoledronic Acid on Interleukin-6 Cytokine Expression in Prostate Cancer Cell Lines(Izmir Institute of Technology, 2006) Abbasi Asbagh, Layka; Doymaz, FuatProstate cancer (CaP) is a common disease in aged men. Androgen deprivation therapy is the first line treatment for advanced disease. Following this therapy, within few months CaP cells become androgen independent in a few mounths. The mechanism responsible for development of androgen-independent cancer is not known. Evidences suggest that growth factors and cytokines including Interleukin.6 (IL-6) cast a main role in this mechanism. IL.6 is an important cytokine on CaP progression. Bisphosphonates inhibit the proliferation and induce the apoptosis of certain prostate cancer cell lines, in vitro. However, their mechanism of action is not clearly understood. One possible mechanism might be the IL-6 mediated pathway. This relation between zoledronic acid (ZA) and IL-6 hasn.t been studied.The objective of this study is to evaluate the cytotoxic and apoptotic effect of ZA on hormone independent CaP cell line (PC-3) and to understand the relation of underlying mechanism of ZA-mediated cytotoxicity and IL-6 expression. PC-3 cells were treated with different concentrations of ZA. Drug-mediated cytotoxicity and apoptosis were determined. IL-6 levels were measured from the supernatants of PC-3 cells at 24, 48, 72 hrs.Maximum cytotoxicity was achieved at 90 and 100 .M of ZA. ZA produced the classical DNA ladders on gel synonymous of apoptosis. The decrease in IL-6 secretion was found to be statistically significant compared to controls. The decreasing effect of ZA on IL-6 expression might suggest a new mechanism of action of ZA's antitumor activity. This outcome may offer a novel therapy that utilizes IL-6 antagonists along with ZA in CaP patients.