Situation of Turkey's energy indicators among the EU member states

As a candidate country for EU accession, Turkey should make significant future plans about strategy of consumption and production of basic energy sources. The main goal of this study is determination of energy indicators situation for Turkey—to allow us to draw up a good energy policy for the future using the method of multiple variables data analysis. Basic energy and economic indicators, such as gross generation, installed capacity, net energy consumption per person, import, export, consumption of coal, lignite, fuel oil, natural gas and hydroelectricity are used in the analysis. Energy indicators used in the analysis are taken from the EUROSTAT and Turkish Statistical Institute (TURKSTAT). Results of analysis show that Turkey's most important goal for the future is to produce proper energy policies.     

Mathematical modelling of a solid particle motion in a re‐circulatory fluidised bed unit

Two fundamental properties of the particles are their velocity and consequent displacement versus time history during the granulation process. Knowledge of the particle velocity might supply much information about the sub‐processes. In this paper, an analytical model of a solid particle motion in an internal re‐circulatory fluidised bed unit is developed and validated against experimentally obtained data. The model predictions show good correspondence with the experimental results for the spherical particles. For the case of non‐spherical granules, the agreement between the model and the experiments is not equally convincing but still adequate.     

APPLICATION OF OPTIMAL CONTROL THEORY IN PIPE INSULATION

Optimum insulation thickness of a pipe subjected to convective heat transfer that minimizes the heat loss is studied using the control theory approach and steepest descent method. As a constraint to the problem, the amount of insulation material is assumed to be fixed. A circular pipe through which fluid is transported from one end to the other is considered. Variations of the bulk temperature of the fluid as well as the temperatures of the outer surface of the insulation are evaluated. It is shown that obtaining an optimal thickness variation of insulation that minimizes the heat losses to the ambient using control theory can be done in a systematic manner. The method can be extended easily to more complex and nonlinear problems.     

A hybrid multi-fidelity approach to the optimal design of warm forming processes using a knowledge-based artificial neural network

In this paper, a hybrid multi-fidelity optimization approach based on a knowledge-based artificial neural network (KBNN) was used to determine the optimal heating strategy in warm forming processes. First, a less costly, but less accurate isothermal finite element analysis (FEA), which neglected the complex heat transfer between the part and tooling elements, was performed to obtain overall knowledge about the effect of temperature on forming performance. Then, a small number of more accurate and expensive (i.e., longer computational time) non-isothermal FEA results were utilized in an artificial neural network (ANN), along with the prior knowledge from the isothermal FEA, to improve the accuracy in defining the non-linear relationship between the design variables (i.e., regional temperatures on the tooling) and the response (i.e., part depth value before failure). The accuracy of the non-isothermal FEA was validated by comparing its prediction results to the experimental findings. This approach was demonstrated for forming a rectangular cup, where it offered a rapid and accurate recommendation of the optimal temperature distribution on the tooling elements for improved formability. The individual and interaction effects of the regional temperatures on formability were also evaluated in detail by constructing the response surfaces near the optimal design point using the multi-fidelity system developed. Finally, a comparison of the temperature and thickness strain distributions on the formed parts was made under various operating conditions, to acquire detailed information on the deformation characteristics of the material.     

Investigation of correlations between shear wave velocities and CPT data: a case study at Eskisehir in Turkey

Seismic waves result from fault movement during earthquakes. Depending on the features of the physical environment through which they pass, there are variations in the velocity and amplitude of body waves, which occur underground, and surface waves, which occur on the Earth’s surface. The ratio of shear wave velocity (V _s) to near-surface velocity is a parameter used widely in land use planning to predict the potential for amplified seismic shaking, especially in urban areas. The main objective of this study was to estimate V _s by using cone resistance (q _c) and lateral friction (f _s) for a study area at Eskisehir Graben, to help mitigate geotechnical earthquake engineering problems in civil engineering and land use planning. In geotechnical shallow soil research, certain geophysical methods are used for measuring V _s —a major form of seismic energy propagation—at the near surface. In this study, cone penetrometer data collected from seismic cone penetration tests (SCPT) includes q _c, f _s, and downhole V _s. S-type seismic energy waveforms, which are produced on the surface, were measured at different depths using an S-type geophone in the city center of Eskisehir via SCPT. With SCPT, q _c, friction ratios (R _f), and V _s values were measured at 42 different test points. R _f properties are associated with soil thickness, and these were compared with dynamic soil properties (V _s) using a standard statistical method; we calculated correlations amongst V _s, q _c, and R _f measured from cone penetration tests.     

Forming characteristics of austenitic stainless steel sheet alloys under warm hydroforming conditions

Stainless steel sheet alloys have been increasingly used in heating, ventilating, and air conditioning; appliance; sanitary and medical devices; as well as several structural and transportation applications, due to their high strength-to-weight ratio, corrosion resistance, biomedical compatibility, and esthetic appearance. Among various stainless steel alloys, austenitic stainless steels are the most commonly used type. Due to the forming limitations into complex shapes at room temperature conditions and stress-corrosion cracking issues, forming at elevated temperature has been considered as an enabling technique. Formability of stainless steels is affected by strain rate and temperature due to martensitic transformation of meta-stable austenite microstructure. In this study, deformation characteristics of three common austenitic stainless steels (AISI 201, 301, and 304) were investigated using closed-die hydroforming under different process conditions. Specifically, effects of pressure, temperature, and die/part geometry on the material forming characteristics quantified using cavity filling ratio and thinning distribution were investigated. Results suggested that, in terms of cavity filling, pressure and material grade are significant factors while temperature is not in the case of axisymmetric part. For the non-axisymmetric case, all parameters were found to be significant. In addition, finite element (FE) modeling was performed to simulate several forming cases that were experimentally conducted in this study. The FE model was simulated based on material flow curves obtained from previous studies under similar conditions (strain rate and temperature) by the authors. FEA results were shown to be in good agreement with experimental findings, particularly for cavity filling and part profile predictions. Hence, the FE model and the material models can be used for further predictions of complex and different parts with confidence.     

The formation of status asymmetric ties: a perspective of positive externality and empirical test

Previous studies have investigated the circumstances that motivate firms to form status asymmetric ties. However, these studies have mainly focused on firm attributes or environmental factors. Deviating from prior works, we propose that firms can take advantage of alliance portfolios to trade resources with potential partners’ status. Specifically, a firm that can access high-quality portfolio technological resources can better realize exchanges with partners’ status. The degree of positive externality depends on the relationships of focal firms with existing partners and their capabilities to utilize external knowledge resources. Data of alliances formed in the computer industry in the USA reveal that a focal firm is more likely to ally with a high-status partner if it can access high-quality portfolio technological resources. Such positive externality of portfolio technological resources is stronger when the focal firm has more repeated ties with its existing partners and when they utilize more external knowledge resources.     

Investigation of the behavior of hydrogen‐bonded phenolic compounds and their determination by using poly(vinylferrocenium)–polyaniline composite film

The hydrogen bonding between phenolic compounds (phenol (Ph), catechol (Ct), resorcinol (Rs), and hydroquinone (Hq)) is investigated at pH 4. The oxidation behaviors of total phenolic compounds (TotPh) are different from their individual behaviors due to the existence of intermolecular hydrogen‐bonded oligomeric clusters. Theoretical calculations and voltammetric and spectroscopic evidences support the intermolecular hydrogen bonding. The interaction of the phenolic compounds with polyaniline (PANI) and poly(vinylferrocenium) (PVF⁺) films are also investigated electrochemically and spectroscopically. The phenolic molecules are immobilized in both polymers due to the construction of hydrogen bonds by PANI and the complexation with PVF⁺. In addition, Ct and Hq are catalytically oxidized by PANI. Determinations of Ct and TotPh are performed on PVF⁺–PANI composite ‐ coated Pt electrode using amperometric I–t method. Composite coating exhibits significant electrochemical activity toward Ct and TotPh, with high sensitivity and a wide linearity range. The steady‐state currents versus concentration of Ct and TotPh are found to be linear in the range of 1.35 × 10^?3?50.0 mM and 4.10 × 10^?4?560 mM for two linear regions, respectively. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016 , 133, 43596.     

Parametric analysis of warm forming of aluminum blanks with FEA and DOE

1 Introduction Warm forming of lightmass materials has been investigated as an alternative manufacturing process to achieve higher formability compared with forming at room temperature due to a substantial increase in material ductility[1?8]. SHEHATA et a…