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Toplam kayıt 39, listelenen: 1-10
Deep neural network approach to estimation of power production for an organic Rankine cycle system
(Springer, 2020)
In this study, the possibility of using Stepwise multilinear regression and deep learning models to estimate the behaviour of the organic Rankine cycle (ORC) has been investigated. It was found that a number of parameters ...
Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks
(Springer, 2020)
Oil leakage between the slipper and swash plate of an axial piston pump has a significant effect on the efficiency of the pump. Therefore, it is extremely important that any leakage can be predicted. This study investigates ...
Bandwidth Improvement in Bow-Tie Microstrip Antennas: The Effect of Substrate Type and Design Dimensions
(Mdpi, 2020)
In this work, the impact of substrate type and design dimensions on bow-tie microstrip antenna performance and bandwidth improvement is presented both numerically and experimentally at 4-8 GHz. The finite integration ...
An investigation on optimum grinding system and conditions for steel plant ARP by-product α-Fe2O3 for pigment industry
(Elsevier, 2020)
After some other processes, α-Fe2O3 red powder particles -by-product of regeneration of spent pickling liquor in ARP in iron and steel industry- should be ground up to pigment grade to convert it to a value added product, ...
Analysis of model helical piles subjected to axial compression
(Union of Croatian Civil Engineers and Technicians, 2020)
An investigation into axial compression capacity of single helical piles placed in dry sand through laboratory model tests and numerical analyses is presented. The compressive bearing capacities were compared with existing ...
Mutual Coupling Reduction of Cross-Dipole Antenna for Base Stations by Using a Neural Network Approach
(Mdpi, 2020)
In this manuscript, a resonator layer is presented for the purpose of reducing the mutual coupling effect between each antenna element of a cross dipole antenna. In design processes, an artificial neural network approach ...
The Detection of Chemical Materials with a Metamaterial-Based Sensor Incorporating Oval Wing Resonators
(MDPI, 2020)
The detection of branded and unbranded chemical materials is essential for the quality control assessment. In this work, a metamaterial inspired sensor is designed and fabricated, which incorporates oval-shaped wing ...
A theoretical performance investigation of irreversible internal combustion engine named as Dual-Miller Cycle
(Yildiz Technical Univ, 2020)
Internal combustion engines (ICEs) have harmful effects on the environment in terms of emissions. According to present emission regulations, reducing NOx emissions came into prominence. One of the techniques of reducing ...
Electricity production by wet type top-pressure recovery turbine in blast furnaces
(Pamukkale Üniversitesi, 2020)
Today, the iron and steel industry is critical to energy consumption. The high energy demand of the iron and steel production process brings along high costs. This leads to the need to reduce energy demand and develop ...
An Investigation of Punching the MWCNTs Doped Composite Plates by Using Different Cutting Profiles
(University of Osijek, 2021)
In this study, glass fiber reinforced composite layers which are with and without additives of 0.1 wt.% multi walled carbon nanotubes (MWCNTs) of epoxy were manufactured by vacuum infusion method. Unlike the conventional ...