Journal of Brilliant Engineering (BEN)

Raziye KILIÇ Şeyma EMEÇ Burak ERKAYMAN

When choosing a housing, the region in which it is located is as important as the quality of the housing. Depending on a number of factors such as the socio-cultural structure of that region, the services offered, and the opportunities in the surrounding area, the choice of housing location may change. In this context, the aim is to investigate which district is the most suitable when buying a house by evaluating customers' preferences for housing location in Erzurum province. In the case study, 3 alternative regions (Palandoken, Yakutiye ve Aziziye) and 6 criteria (transportation accessibility, housing price, population density, noise and air pollution, infrastructure safety, social and cultural activity areas) were defined and the criteria weights were calculated using the Fuzzy Full Consistency Method (F-FUCOM). Then, the Fuzzy Measurement Alternatives and Ranking According to Compromise Solution (F- MARCOS) method was used to evaluate the alternatives. The results of the research have shown that the most important criterion is the price of the house, while the least important criterion is noise and air pollution for customers to buy a house. In addition, the results have shown that Yakutiye district is the best alternative for choosing housing districts in Erzurum province. The other alternatives are Palandoken and Aziziye respectively.

https://doi.org/10.36937/ben.2022.4727

Serdar ARAL

Cornelian cherry is an important resource for human health and nutrition. Cornelian cherry is very rich in contains many mineral substances such as vitamin C. For this reason, it is important that cornelian cherry can be dried and used later. This was studied investigated the rehydration capacity and the kinetics of dried cornelian cherry fruit under certain conditions. Drying was carried out in a thin layer using a convective dryer. The drying conditions were determined as the different temperatures of air (50, 60, and 70°C) and the constant velocity of air of 1 m/s. The rehydration experiments of dried cornelian cherry were actualized in a hot water bath with a water circulator. The experiments were made with rehydration water temperatures of 25, 50, and 75°C. The rehydration characterization of dried cornelian cherry was evaluated in terms of rehydration curves, rehydration rate curves, final moisture content, and rehydration coefficient (COR). Fick’s 2nd law was employed to determine the coefficients of effective diffusivity of the rehydration process. The kinetics models of Peleg, the Weibull, the first-order, and the exponential were used to determine the kinetics of rehydration. The model of Weibull was determined to be the most suitable model for investigating the kinetics of rehydration of cornelian cherry samples. The Model fit was evaluated by considering statistical parameters such as R2, χ2, RMSE, and P%. In addition, the energy of activation of rehydration was figured with the rate constants of the most suitable models.

https://doi.org/10.36937/ben.2022.4741

Bilgehan Polatoğlu Serdar ARAL

Drying is the process of removing water or other liquids from materials. However, drying is commonly used to remove water from food by thermal methods. Drying technology is a combination of transport phenomena and material science. Knowing the mass and heat transfer properties and the energy for the drying process is very important in terms of controlling and improving the process. In the present study, the effects of experimental parameters such as the temperature and velocity of air on mass and heat transfer coefficients, consumption and efficiency of energy in the dehydration of cornelian cherry were investigated. The cornelian cherry fruit was dried in a single layer in a dryer as convective at three different values (50, 60 and 70°C) of air temperatures and three different values (0.4, 0.7 and 1.0 m/s) of air velocities. The effective diffusivity values of moisture (Deff), coefficient of mass transfer (k), and Bi number were calculated using Dincer and Dost analytical approach. The heat capacity, thermal diffusivity and thermal conductivity are calculated as a function of moisture content. The convective heat and mass transfer coefficients were determined using engineering correlations and the Chilton-Colburn analogy. The consumption and efficiency of energy, thermal efficiency, and the efficiency of drying were analyzed for all experimental conditions.

https://doi.org/10.36937/ben.2022.4742

Saad Issa Sarsam

The tensile strength of asphalt concrete is essential to control the rutting behavior of the pavement. In the present work, asphalt concrete mixtures were compacted at optimum binder content to a target density using roller compaction. Extra mixtures with 0.5 % binder content above and below the optimum were also prepared. Core specimens were extruded from the compacted slab samples for testing. The tensile strength of asphalt concrete was assessed using the indirect tensile strength test and the semi-circular bending test. It was detected that the tensile strength as obtained by SCB is five and half fold and five-fold higher than that obtained by ITS when the specimens are tested at (20 and 0) °C respectively. The SCB tensile strength increase by 72.1 % when the specimens are tested at 0°C as compared with the testing at 20°C. However, it was observed that the tensile strength obtained from the Semi-Circular Bend test (SCB) increases as the binder content increase when compared with that obtained from Indirect tensile strength test (ITS). The slope of the SCB – Binder content at both testing temperature relationship increases while the intercept declines as the binder content increase. This can refer to the sensitivity of the SCB test to the binder and temperature variation. The ITS declines when the testing temperature changes from (0 to 20 and 40) ° C by (48.3, and 80.1) %, (48.5, and 78.1) %, and (48.3, and 81.3) % for mixtures with (4.4, 4.9, and 5.4) % binder respectively.

https://doi.org/10.36937/ben.2022.4707

Oluwaseun Augustine ONI Adebayo Babatunde

Proper knowledge of the rocks and properties of rock will allow proper selection of the bit and speed of rotation of the drill for fast penetration and reduce the cost of drilling. Since the rock fragmentation process requires the drilling of small diameter holes for the placement of explosive material, this makes the evaluation of rock properties' effect on this operation important. This study focus on evaluating the effect of rock properties and drill parameters on drill bit penetration rate, specific energy, and index of rotational energy. Two case studies mine in southwest Nigeria were considered for this study. Rock properties, penetration rate, and index rotation energy of the drill quarry machines were determined. The obtained parameters for different drilling operations were used to develop datasets for different observations. The uniaxial compressive strength, point load, and hardness values of the case study granite have an average value of 90.56-121.43 MPa, 6.8-8.54 MPa, and 45.648.01 respectively. Prediction models were developed for the prediction of the drill penetration rate, specific energy, and index of rotation energy as a function of the rock properties. The developed regression models show a very high correlation having R2 value close to unity. Hence the proposed regression models can reasonably predict drill penetration rate, specific energy, and index of rotation energy for practical purposes.

https://doi.org/10.36937/ben.2022.4713