ISSN:2687-5195
Journal of Brilliant Engineering (BEN)
ARTICLES Volume 2 - Issue 1 - January 2021
Husam Ali Jafar
Ahmad Saleh
In this work the thermodynamic model of Chen and Sun which describes the adsorption of protein on a hydrophobic gel in hydrophobic interaction chromatography process is modified by substitution activity instead of protein and salt concentration in liquid phase. The model is based on two-state equilibrium of protein in solution and adsorbed phase. Also, the effect of salt concentration and type of hydrophobic gel on the amount of protein adsorption is investigated. Finally, the accuracy of model is evaluated by measuring average absolute deviation (AAD) for adsorption isotherm in different salt concentration. The results show that the modified model had high accuracy for prediction the adsorption isotherm in different type of adsorbed and salt concentration.
https://doi.org/10.36937/ben.2021.001.001
Ismaeil Rabbani
Najib Rahman
Maryam Asadi
Reyhaneh Rafiei
This paper portrays the hypothesis and execution of Bayesian systems basic getting the hang of utilizing unthinkable pursuit calculation. Bayesian systems give an extremely broad but powerful graphical language for calculating joint likelihood disseminations. Finding the ideal structure of Bayesian systems from information has been demonstrated to be NP-hard. In this paper, unthinkable hunt has been created to give progressively proficient structure. We actualized auxiliary learning in Bayesian systems with regards to information characterization. With the end goal of correlation, we considered order task and applied general Bayesian systems alongside this classifier to certain databases. Our trial results show that the Tabu pursuit can locate the great structure with the less time multifaceted nature. The reenactment results affirmed that utilizing Tabu hunt so as to discover Bayesian systems structure improves the grouping exactness.
https://doi.org/10.36937/ben.2021.001.002
YAŞAR SERT
Samet Yavuz
Mahmutcan Karslı
Tevfik Küçükömeroğlu
In this study, the main goal is to determine the effects of the variable anodic oxidation process parameters on the hardness and wear properties of the AA7075-T6 alloy, which is widely used in the gun industry, automotive, aircraft, and space industry. Samples obtained using the process parameters designed by the Taguchi method were subjected to various experiments and the findings obtained from these experiments were compared with S/N graphs determined using ANOVA analysis. As a result of these findings, it was determined that different coating thickness, hardness and wear resistance were obtained by varying the anodic oxidation process parameters. The highest oxide layer thickness obtained was determined as 70.63 µm. In addition, the oxide layer formed by the anodic oxidation process has significantly increased the hardness and wear resistance of the AA 7075-T6 alloy. Also, as a result of the experiments and ANOVA analysis, it was determined that the oxide layer obtained with the parameters of 22V constant voltage, 1.3A/dm2 current density, 2°C temperature, 140 minutes of processing time will have the superior wear performance.
https://doi.org/10.36937/ben.2021.001.003
Banafsheh Alizadeh Arashloo
Hasan Efeoglu
Nanostructures as a starting point to solve the scaling problems of the CMOS technologies, have been concerned the attention of numerous researchers. By strong demanding for nonvolatile memory technology, resistive memories based on metal oxide has been common due to several advantages, such as low-power consumption, good scalability and fast switching speed. Even though high-temperature fabrication process has a large area limitation by their material characteristics. Metal oxide thin films are respectable candidate to fabricate at nano scale solid state electronic device. Metal/Metal-Oxide/Metal structure is employed to several devices such as Non-volatile able memories, RRAMs, resistance switching based devices and memristor. The foundation of the primary TiO2 based memristor served a number of consequence for understanding the conduction mechanisms during the formation of hysteresis loop. Also the current-voltage characteristics (hysteretic loop) which is formed by mobile anions or oxygen vacancies motion in the set and reset process, is clarified the resistive switching behavior by swapping the resistance of TiO2 thin film. Here, the effect of Cu doping into TiO2 based memristor by focused on the hysteresis loop characteristics is considered. Similarities of hysteresis loop form in Cu doped devices are explored. Hysteresis loop is symmetric for structures having pure TiO2; however, asymmetric character appears after Cu doping. After the formation process hysteresis loop of the Cu doped devices shown higher conductance path on (I-V) characteristic than the initial forming process loop in positive cycle loop as the un-doped TiO2. Also, in spite of un-doped TiO2, this (I-V) hysteresis loop character shown lower path conductance than primary forming process in the negative cycle loop. Surface roughness of 30nm thick TiO2 is increased from 0.3nm to 0.77nm as Cu doping increased from %10 to %30. Unfortunately, XRD results cleared that there is no exchange in crystallinity but optical band gap decreased as Cu doping increased.
https://doi.org/10.36937/ben.2021.001.004
Nasir Alawad
Afaf Jebar
This paper propose an optimal tuning method for fractional PI controller. The method consist of minimizing Integral Absolute Error (IAE) performance index criterion. An example of application (distillation column) plant is presented to evaluate the proposed method. A comparison with classical PI controller and optimal PI shows that the system under fractional state is robust in terms of transient specifications, maximum overshot, settling and rise times.MATLAB simulation toolbox is used to show the effective of the proposed method.
https://doi.org/10.36937/ben.2021.001.005

