Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - Scopus: 1Integration of Stm32 Microcontroller With Arm Cortex Architecture Into the 8-Bit Measurement Circuit Customized for Real-Time Data Acquisition on Propeller Shaft To Increase Data Speed and Accuracy(ISRES Publishing, 2023) Aldemir,O.; Tarakci,S.; Ozdemir,S.; Isik,E.Propeller shafts transmit torque and high-speed rotational movement from the engine to related equipment. Expected propeller shaft functions are calculated and designed by using an analytical and numerical approaches. The verification tests are significant in that they provide feedback to the design and development processes. Therefore, acquiring accurate data from power transmission equipment is becoming even more important. This paper focuses on the study of circuit boards customized for use in the validation tests of the propeller shafts. It should be noted that these measurement circuits were integrated on the propeller shafts. These measurement circuits were used to acquire data such as torque, temperature, etc. in real time. Especially with instantaneous signals such as torque, data loss can occur due to low microcontroller resolution. Therefore, it was aimed to develop to the microcontroller to 32-bit resolution from 8-bit resolution to increase data speed and accuracy. As the first step, an INA125P operational amplifier was installed to amplify the low voltage values gathered from the gages and the sensors. The gain value of the amplifier was calculated in order to provide the highest data resolution and sensitivity. And then, ADS1115 analog to digital converter circuit with a rate of 860 samples per second and 16-bit resolution was used to interpret the analog data. A low pass filter was installed to remove noise from the output signal. Embedded code was also locally developed for the hardware installed. The system was calibrated on a validated test rig. Real-time torque and temperature data were acquired from the propeller shaft. It is observed that compared to the previous 8-bit system, the data accuracy and integrity from the new 32-bit board has increased by a factor of 5 to 100 Hz. The collected data was found to be 99.4% compatible with the validated test rig data. © 2023 Published by ISRES.Conference Object In-Silico Identification of Natural Compounds as Pesticides Against Plutella Xylostella(ISRES Publishing, 2023) Gurbuz-Colak,N.Plutella xylostella (diamondback moth), a major invasive pest of Brassica crops, feeds on cruciferous plants and causes serious economic loss. The moth has spread worldwide owing to its short life cycle, high fecundity, and capability to migrate long distances. Chlorantraniliprole is a human-made insecticide widely used to control P. xylostella. On the other hand, resistance to chlorantraniliprole was reported in the literature. The use of natural compounds as pesticides can eliminate resistance and reduce potential harm to humans. In the present study, natural compounds were identified as potential pesticide candidates in silico. To achieve this goal, the binding potentials of over 3000 natural compounds found in the MPD3 database to the diamondback moth ryanodine receptor N-terminal domain (PDB:5y9v) were scanned using AutoDock Vina. The active sites of the target proteins were identified using PyMOL software. The first filtration was applied according to the binding energies, with a threshold of-6,0 kcal/mol. Second, the binding affinities to the N-terminal region of the human ryanodine receptor 2 (PDB:4jkq) of the candidates were checked. Candidates were then filtered according to the ADME properties based on Lipinski’s rule of five using DruLiTo software. Finally, toxicity (oral toxicity, hepatotoxicity, carcinogenicity, immunotoxicity, mutagenicity, and cytotoxicity) was evaluated using ProTox II online server. In addition, the binding energy and toxicity of chlorantraniliprole were compared. Chlorantraniliprole binds to 5y9v with a binding energy of-3,5 kcal/mol while binds to 4jkq with higher affinity (-6,8 kcal/mol). Moreover, it may cause hepatotoxicity. Dorsmanin B, chartaceone B, and 7-O-galloyltricetifavan bind to 5y9v with a binding energy of-6,1 kcal/mol,-6,0 kcal,/mol,-6,1 kcal/mol, respectively while binding to 4jkq with lower affinity (0,1 kcal/mol,-2,4kcal,/mol,-2,9 kcal/mol, respectively). In addition, these candidates did not show any toxicity. These natural compounds can be used instead of chlorantraniliprole to control Plutella xylostella. © 2023 Published by ISRES Publishing: www.isres.org.Conference Object Citation - Scopus: 2Co2 Capture by Pei-Impregnated Alumina Sorbents(ISRES Publishing, 2023) Turgut, Furkan; Kostik, Simge; Erdoğan, Barış; Çağlar, BaşarDirect air capture (DAC) or direct CO2 extraction from ambient air is a promising approach to reduce greenhouse gas emissions caused by both distributed (location independent) and point sources (location specific). Solid sorbents have been considered as more effective for DAC compared to the liquid counterpart since they have a faster kinetic and avoid volatile and heat losses due to the absence of evaporation of liquids. In this study, the alumina-supported polyethyleneimine (PEI) material was chosen as solid sorbents and their CO2 capture performance for different PEI loadings (20, 35, 50 wt%), flow rate (15, 30, 45 L/h) and adsorption temperatures (30, 40, 50, 60 °C) was investigated. Sorbents were prepared by using wetness impregnation method and their physical and chemical properties were characterized by several techniques such as N2 adsorption-desorption (surface area, pore size and volume), Scanning Electron Microscopy-SEM (surface morphology, surface chemical composition). The CO2 capture performance of sorbents were analyzed under different CO2 concentrations and the cyclic (adsorption-desorption) behavior of the sorbents were tested. The results show that alumina-supported PEI adsorbents are promising materials for CO2 capture with high CO2 adsorption capacity and stability. © 2023 Published by ISRES.
