
Energy Conversion and Management X, Год журнала: 2025, Номер 26, С. 100952 - 100952
Опубликована: Март 4, 2025
Язык: Английский
Energy Conversion and Management X, Год журнала: 2025, Номер 26, С. 100952 - 100952
Опубликована: Март 4, 2025
Язык: Английский
Computers in Biology and Medicine, Год журнала: 2025, Номер 188, С. 109872 - 109872
Опубликована: Фев. 18, 2025
Язык: Английский
Процитировано
3Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114313 - 114313
Опубликована: Окт. 24, 2024
Язык: Английский
Процитировано
8Annals of Emerging Technologies in Computing, Год журнала: 2024, Номер 8(4), С. 99 - 114
Опубликована: Окт. 1, 2024
Trajectory optimal control for a robotic arm with high degree of freedom (DOF) is challenging. The design space that problem complex and the search an solution demanding. arm's trajectory based on solving inverse kinematics problem, considering additional refinements influenced by factors like total rotating angle, reachability time, minimum execution obstacle avoidance, energy consumption minimization. Due to complexity space, in this paper, genetic algorithm (GA) optimization whale (WOA) have been used achieve while maintaining time. To validate suggested techniques, case study was conducted 6 DOF KUKA KR 4 R600 robot subject its constraints. Sets consecutive points forming four different paths were inputted algorithms. goal reach all these points, order, As result we shown provides better performance than factor more 2.5 satisfying
Язык: Английский
Процитировано
5Heat Transfer, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 11, 2024
ABSTRACT Solar air heater (SAH) is a widely employed technology for harnessing solar thermal energy in numerous applications. Contemporary research optimizes designs within identical spatial constraints to maximize output. However, there recognized need conduct analytical validation stimulate the experimental setup and formulate an artificial neural network (ANN) model govern predict operation system. This investigation involved developing assessing evacuated tube (ETSAH) integrated with annulus‐filled heat storage media. Furthermore, this study introduced ANN solution performance parameters, representing noteworthy contribution. The proposed achieved its optimal mean square error of 5.4018 × 10 −6 after 11 epochs 31 training. Also, correlation findings show that architecture feed‐forward backpropagation when 5‐40‐40‐40‐2 used. In case, are five nodes input layer represent timing, temperature, radiation, airflow rate. power output ETSAH device shows strong flow rate, reaching peak at 0.05 kg/s value 2261 W dropping 368 0.006 kg/s. Correspondingly, greatest efficiency was measured rates 0.05, 0.01, kg/s, accounting 48.38%, 27.32%, 19.65%, respectively.
Язык: Английский
Процитировано
4Results in Engineering, Год журнала: 2025, Номер unknown, С. 104511 - 104511
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Energy Conversion and Management X, Год журнала: 2025, Номер 26, С. 100952 - 100952
Опубликована: Март 4, 2025
Язык: Английский
Процитировано
0