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In the study presented in this paper, the deterioration in the performance of an industrial gas turbine during the operation design point was simulated by using the thermodynamic principle and a multi feedforward artificial neural networks (MFANN) system. Initially the thermodynamic model was constructed using the components performance map technique, that entailed calculating the operating point which was compliant with the performance map for each component. The various design operation points were generated by changing the engine component’s efficiency or outer environmental conditions and simulating the engine’s performance for each case. The MFANN model was constructed by using these operation points for the training and testing stage. In this way, the two MFANN models were established. The aim of the first model was to calculate the engine’s performance while the second model was used to detect the deterioration of the components of the engine This paper presents a robust fault diagnosis system for gas turbine degradation detection with the aim of improving energy efficiency.
Adel Alblawi. Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks. Energy Reports 2020, 6, 1083 -1096.
AMA StyleAdel Alblawi. Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks. Energy Reports. 2020; 6 ():1083-1096.
Chicago/Turabian StyleAdel Alblawi. 2020. "Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks." Energy Reports 6, no. : 1083-1096.
Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21°. Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10−4. After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year.
Adel Alblawi; M.H. Elkholy; M. Talaat. ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance. Sustainability 2019, 11, 6802 .
AMA StyleAdel Alblawi, M.H. Elkholy, M. Talaat. ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance. Sustainability. 2019; 11 (23):6802.
Chicago/Turabian StyleAdel Alblawi; M.H. Elkholy; M. Talaat. 2019. "ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance." Sustainability 11, no. 23: 6802.
Mortality rate increases globally among which one third is due to diseased blood vessels. Due to late diagnoses of the disease in vessels (severe stenoses), qualitative and rapid assessment becomes difficult. Earlier assessment of stenoses can lead to formulation of effective treatment protocol. It is often found that proliferation of secondary stenoses at downstream of a stenosed vessel depends on the degree of severity of primary stenoses. Numerical investigation of flow dynamics of blood in such condition helps in prediction of distributed field of secondarystenoses. This investigation also requires consideration of rigorous boundary conditions at inlet and outlet of defined flow domain. Patient-specific geometry of aortic arch with stenoses in descending aorta was considered for numerical estimation of biofluid dynamics. Boundary conditionsat inlet and outlet were extracted from time-resolved pulsed Doppler Ultrasound imaging at appropriate sections of the vessel. Womersley inlet flux was considered. Flow parameters like wall shear stress, oscillatory shear index, etc. were evaluated at upper and lower aortic arch of the vessel at different combinations of boundary conditions at inlet and four outlets respectively. Effect of outlet boundary conditions were acknowledged for the progression of secondary stenoses. Severity of primary stenoses was found influencing the progression of secondary stenoses. It was found that the outlets Left Subclavian Artery and Left Common Carotid Artery greatly influence the flow dynamic structure within the stenosed aortic arch. Simultaneously, lower wall of aortic-arch had shown more affinity for secondary stenoses progression. Aortic arch is a vital anatomical region of circulatory system which is vulnerable to progression of secondary stenoses in presence of primary stenoses in ascending or descending aorta. It also drives the author to speculate the influence of anurysm in descending aorta on this landmark of aortic arch.
Arindam Bit; Adel Alblawi; Himadri Chattopadhyay; Qurratul Ain Quais; Ali Cemal Benim; Mohammad Rahimi-Gorji; Hoang-Thinh Do. Three dimensional numerical analysis of hemodynamic of stenosed artery considering realistic outlet boundary conditions. Computer Methods and Programs in Biomedicine 2019, 185, 105163 .
AMA StyleArindam Bit, Adel Alblawi, Himadri Chattopadhyay, Qurratul Ain Quais, Ali Cemal Benim, Mohammad Rahimi-Gorji, Hoang-Thinh Do. Three dimensional numerical analysis of hemodynamic of stenosed artery considering realistic outlet boundary conditions. Computer Methods and Programs in Biomedicine. 2019; 185 ():105163.
Chicago/Turabian StyleArindam Bit; Adel Alblawi; Himadri Chattopadhyay; Qurratul Ain Quais; Ali Cemal Benim; Mohammad Rahimi-Gorji; Hoang-Thinh Do. 2019. "Three dimensional numerical analysis of hemodynamic of stenosed artery considering realistic outlet boundary conditions." Computer Methods and Programs in Biomedicine 185, no. : 105163.
Scaffold-free tissue engineering can be considered as a rapidly developing technique in the field of tissue engineering. In the areas of regenerative medicine and wound healing, there is a demand of techniques where no scaffolds are used for the development of desired tissue. These techniques will overcome the problems of rejection and tissue failure which are common with scaffolds. Main breakthrough of scaffold free tissue engineering was after invention of 3-D printers which made it possible to print complex tissues which were not possible by conventional methods. Mathematical modeling is a prediction technique is used in tissue engineering for simulation of the model to be constructed. Coming to scaffold-free technique, mathematical modeling is necessary for the processing of the model that has to be bio-printed so as to avoid and changes in the final construct. Tissue construct is developed by use of non-destructive imaging techniques i.e. computed tomography (CT) and magnetic resonance imaging (MRI).In this review, we discussed about various mathematical models and the models which are widely used in bioprinting techniques such as Cellular Potts Model (CPM) and Cellular Particle Dynamic (CPD) model. Later, developed of 3-D tissue construct using micro CT scan images was explained. Finally, we discussed about scaffold free techniques such as 3-D bioprinting and cell sheet technology. In this manuscript, we proposed a cell sheet based bioprinting technique where mesenchymal stem cells (MSCs) on the surface of thermoresponsive polymer were subjected to mechanosensing either by introducing acoustic energies or stress created by polymeric strain energy function. Mechanosensing stimulus will trigger the intracellular signal transduction pathway leading to differentiation of the MSCs into desired cells.
Adel Alblawi; Achalla Sri Ranjani; Humaira Yasmin; Sharda Gupta; Arindam Bit; Mohammad Rahimi-Gorji. Scaffold-free: A developing technique in field of tissue engineering. Computer Methods and Programs in Biomedicine 2019, 185, 105148 .
AMA StyleAdel Alblawi, Achalla Sri Ranjani, Humaira Yasmin, Sharda Gupta, Arindam Bit, Mohammad Rahimi-Gorji. Scaffold-free: A developing technique in field of tissue engineering. Computer Methods and Programs in Biomedicine. 2019; 185 ():105148.
Chicago/Turabian StyleAdel Alblawi; Achalla Sri Ranjani; Humaira Yasmin; Sharda Gupta; Arindam Bit; Mohammad Rahimi-Gorji. 2019. "Scaffold-free: A developing technique in field of tissue engineering." Computer Methods and Programs in Biomedicine 185, no. : 105148.
We considered the steady flow of Buongiorno’s model over a permeable exponentially stretching channel. The mathematical model was constructed with the assumptions on curved channels. After applying the boundary layer approximation on the Navier–Stocks equation, we produced nonlinear partial differential equations. These equations were converted into a system of non-dimensional ordinary differential equations through an appropriate similarity transformation. The dimensionless forms of the coupled ordinary differential equations were elucidated numerically through boundary value problem fourth order method. This method gains fast convergence as compared to other method such as the shooting method and the Numerical Solution of Differential Equations Mathematica method. The influence of the governing parameters which are involved in ordinary differential equations are highlighted through graphs while R e s 1 / 2 C f , R e s 1 / 2 N u s , and R e s − 1 / 2 S h s are highlighted through the tables. Our interest of study was to analyze the heat transfer rate of nanofluids. Surprisingly, for momentum boundary layer thickness, thermal boundary layer thickness and solutal boundary layer thickness became larger when λ > 0 , as compared to the case when λ < 0 .
Adel Alblawi; Muhammad Yousaf Malik; Sohail Nadeem; Nadeem Abbas. Buongiorno’s Nanofluid Model over a Curved Exponentially Stretching Surface. Processes 2019, 7, 665 .
AMA StyleAdel Alblawi, Muhammad Yousaf Malik, Sohail Nadeem, Nadeem Abbas. Buongiorno’s Nanofluid Model over a Curved Exponentially Stretching Surface. Processes. 2019; 7 (10):665.
Chicago/Turabian StyleAdel Alblawi; Muhammad Yousaf Malik; Sohail Nadeem; Nadeem Abbas. 2019. "Buongiorno’s Nanofluid Model over a Curved Exponentially Stretching Surface." Processes 7, no. 10: 665.