Theoretically, ocean waves contain enough mechanical energy to supply the entire world’s demand and, as of late, are seen as a promising source of renewable energy. To this end, several different technologies of Wave...
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作者：
Akci, HilalGunerhan, HuseyinHepbasli, ArifEge University
Graduate School of Natural and Applied Science Mechanical Engineering Program Bornova Izmir35100 Turkey Ege University
Faculty of Engineering Department of Mechanical Engineering Bornova Izmir35100 Turkey Yasar University
Faculty of Engineering Department of Energy Systems Engineering Bornova Izmir35100 Turkey
In this study, energy, exergy and sustainability analyses are performed for a solar energy-based hydrogen production system, which is modeled with TRNSYS and engineering Equation Solver (EES) software packages. This s...
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Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-...
Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-based optimization (s-TLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations - for profit-maximizing production planning. The focus is on a single-level problem involving complex constraints, non-linear costs, budget and raw material limitations. The paper presents two solution strategies: a penalty-based and a correction-based approach. Analyzing 300 unique instances of the problem reveals that s-TLBO implemented with correction-based approach consistently outperforms the other methods in devising optimal production plans for two Saudi Arabian petrochemical industries with 24 products, 54 processes, and three raw materials for plant 1 and two raw materials for plant 2.
Renewable Energy Sources (RESs) stand as a straightforward alternative to complement the energy grid and have been recurrently integrated into the generation and distribution matrices. Physically, generation component...
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To enhance production planning efficiency, it’s crucial to have well-structured models that align with metaheuristic and other optimization techniques. This research conducts a comparative analysis of three unique me...
To enhance production planning efficiency, it’s crucial to have well-structured models that align with metaheuristic and other optimization techniques. This research conducts a comparative analysis of three unique metaheuristic methods: sanitized-teaching-learning-based optimization (sTLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations. The primary focus lies on profit-maximizing production planning within a single-level framework, encompassing intricate domain constraints, nonlinear costs, budget limitations and raw material constraints. The paper introduces three correction-based solution approaches. Upon evaluating 300 distinct instances of the problem, the study reveals that s-TLBO integrated with correction-based approach 1 and 3 consistently outperforms the other methods when it comes to devising optimal production plans for a Saudi Arabian petrochemical industry. This industry scenario involves 24 products, 54 processes, and three raw materials.
Breast cancer remains a leading cause of cancer-related deaths among women worldwide, with mammography screening as the most effective method for the early detection. Ensuring proper positioning in mammography is crit...
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This paper presents high-impedance faults (HIF) detected in distribution networks with distortion zero sequence current detection methods. The simulation model in this paper is performed on a single branch distributio...
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ISBN:
(数字)9798350318098
ISBN:
(纸本)9798350318104
This paper presents high-impedance faults (HIF) detected in distribution networks with distortion zero sequence current detection methods. The simulation model in this paper is performed on a single branch distribution network with a voltage rating of 22kV, and the simulation is divided into two parts. The first part is the creation of HIF in the system by adjusting the distortion of the HIF current according to the principle of the heat-balanced equation of the material. The second part takes the resulting HIF model, which feeds into the established distribution network and detects distortion zero sequence currents occurring. The simulation results clearly depict the current waveform distortion caused by HIF, which can be adjusted. The presence of zero sequence current can indicate the occurrence of HIF in the distribution network.
In the present work an analytical formulation to synthesize non-uniform phase distributions at cylindrical apertures is described. Assuming three distinct amplitude distributions, the respective phases are established...
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作者：
Shimada, IchiroMathematics Program
Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima739-8526 Japan
We investigate the topology of a double cover of a complex affine plane branching along a nodal real line arrangement. We define certain topological 2-cycles in the double plane using the real structure of the arrange...
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In this study, two-finger grasping based on plastic deformation control for human-robot interaction is designed and implemented. This control strategy is derived based on the concept that balances both retention of gr...
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ISBN:
(数字)9798331509644
ISBN:
(纸本)9798331509651
In this study, two-finger grasping based on plastic deformation control for human-robot interaction is designed and implemented. This control strategy is derived based on the concept that balances both retention of grasping force on objects and plastic behavior in response to external forces. The control law consists of a set of constraints and offsets with respect to the springs that appear in the Maxwell model. In particular, the inner loop that is robust against parameter errors is implemented for actual machine experiments. Simulation and actual experiments with a robotic hand are executed to validate the proposed control law.
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