Osmaniye Korkut Ata University

About: Osmaniye Korkut Ata University is a education organization based out in Osmaniye, Turkey. It is known for research contribution in the topics: Catalysis & Neutron. The organization has 341 authors who have published 869 publications receiving 8259 citations.

Calculations of Proton Emission Cross Sections in Deuteron Induced Reactions of Some Fusion Structural Materials

Abstract: The growing demands for energy consumption have led to the increase of the research and development activities on new energy sources. Fusion energy has the highest potential to become a very safe, clean and abundant energy source for the future. To get energy from fusion are needed for development of fusion reactor technology. Particularly, the design and development of international facilities as International Thermonuclear Experimental Reactor and International Fusion Material Irradiation Facility requires for the cross-section data of deuteron induced reactions. Moreover, the selection of fusion structural materials are an indispensable component for this technology. Therefore, the cross-section data of deuteron induced reactions on fusion structural materials are of great importance for development of fusion reactor technology. In this study, reaction model calculations of the cross sections of deuteron induced reactions on structural fusion materials such as 27 Al, 59 Co, 55 Mn, 50 Cr, 54 Cr, 64 Ni, 109 Ag, 184 W and 186 W have been carried out for incident energies up to 50 MeV. In these calculations, the pre-equilibrium and equilibrium effects for (d,p) stripping reactions have been investigated. The pre-equilibrium calculations involve the new evaluated the geometry dependent hybrid model and hybrid model. Equilibrium effects are calculated according to the Weisskopf-Ewing model. In the calcula- tions the program code ALICE/ASH was used. The cal- culated results are discussed and compared with the experimental data taken from the literature.

Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations

Abstract: Considering evapotranspiration takes a basic role in the hydrologic cycle, water resources management, and irrigation water requirements. Evapotranspiration estimation is not an easy case because of the number of direct and indirect effects. The ability of the M5 model tree (M5T); adaptive neuro-fuzzy inference system (ANFIS); support vector machines (SVM); Hargreaves-Samani, Ritchie, Turc, and Penman FAO 56 empirical equations; and multilinear regression (MLR) for modeling daily reference evapotranspiration is investigated. Daily climatic data, air temperature (T), relative humidity (RH), wind speed (U), and solar radiation (SR) from De Soto County, Florida, USA, station are used as inputs for the training of the models and calculation of equations. Mean square error (MSE), mean absolute error (MAE), and correlation coefficient statistics are computed to evaluate the performances of the created models. A total comparison is done between all results to underline how effective is soft computing techniques. Also, the impact of each meteorological parameter on evapotranspiration is investigated by using ANFIS, MLR, and SVM methods as a part of the parameter effect study. According to the error calculations and correlation coefficient, Turc empirical formula found better than other empirical equations. All data-driven techniques gave better results than empirical equations. The highest correlation coefficient is calculated for ANFIS, and the minimum errors are calculated for radial basis function SVM.

Mechanical and Thermal Properties of Particleboard Manufactured from Waste Peachnut Shell with Glass Powder

Abstract: In this study, polymeric composite particleboards were produced by using peachnut shell, an agricultural waste, as filling material and phenol–formaldehyde resin as polymeric binder. Effects of molding pressure and temperature, particle size of filling material have been investigated. Waste glass powder and Turkish tea fiber were used for improving fire resistance and tensile strength properties. The swelling properties of the particleboard which has 900 $$\upmu $$ m particle size were also investigated. The tensile strength of particleboard decreased with increasing molding pressure between 2.72 and 9.8 MPa. Additionally, it decreased with increasing particle size of filling material which changes between 150 and 900 $$\upmu $$ m. The best tensile strength and limiting oxygen index values of the particleboards were obtained as 34 MPa and 44.5, respectively, at 2.72 MPa and 120 $$^{\circ }$$ C with 150 $$\upmu $$ m particle size of filling material. This particleboard was also produced by adding 5% glass powder and 3% tea fiber as flame retardant and reinforcement material. The water absorption capacity of particleboard increased with the increase of molding pressure. It changed from 0.15 g water/g material to 0.32 g water/g material varying the pressure between 2.72 and 9.8 MPa. Particleboards which have been produced from peachnut shell and phenol–formaldehyde resin have very high temperature durability. It is seen that the water resistance of the produced polymeric composite particleboards are better than commercial boards.

Beneficial biofilm applications in food and agricultural industry

Abstract: Biofilm is defined as a community in which microorganisms adhere to a living or inanimate surface, embedded in a gelatinous layer in a self-produced matrix of extra polymeric substances, adhered to each other, to a solid surface or to an interface. Adverse environmental conditions caused biofilm formation by inducing transition of microorganisms from planktonic cell form to sessile cell form and altered metabolism of bacteria in biofilms. Bacteria in biofilm matrix produce the specific secondary metabolites and gain robustness. Although biofilms are often accepted as potentially destructive for clinical and other industrial fields, many biofilms are beneficial and there are several reports related to the positive use of these biofilms. Beneficial biofilms could be used for wide applications (antibacterial, food fermentation, biofertilizer, filtration, biofouling, prevention of corrosion, antimicrobial agents, wastewater treatment, bioremediation and microbial fuel cells) in food, agricultural, medical, environment and other fields. According to previous reports, certain strains including Bacillus spp. (B. subtilis, B. thuringiensis, B. brevis, B. licheniformis, Bacillus polymyxa, Bacillus amyloliquefaciens) Lactobacillus spp. (L. casei, L. paracasei, L. acidophilus, L. plantarum, L. reuteri) Enterococcus spp. (E. casseliflavus, E. faecalis, E. faecium), Pseudomonas spp. (P. fluorescens, P. putida and P. chlororaphis), Acetobacter aceti, some fungi and Pseudoalteromonas sp., etc. led to beneficial biofilm formation. Food and agricultural industry may mostly benefit from biofilms in terms of their biochemical, fermentative, antimicrobial and biotechnological characteristics. Microorganisms in biofilm matrix could positively affect quality characteristics of food products such as texture, biochemical composition and sensorial properties via the production of specific secondary metabolites. Additionally, biofilms have an importance in water and soil safety of agricultural land. The present chapter highlights beneficial biofilm applications in food and agriculture industry.