The integrated CO2 capture and conversion (ICCC) has emerged as a promising and cost-effective pathway for achieving carbon neutrality. However, limited energy-efficient pathways and durable materials for ICCC systems...
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Industrial gas leaks and flue gas emissions pose significant threats to the safety of industrial operations and the atmospheric ecological environment. Traditional gas sensing materials often struggle to meet the chal...
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Understanding bubbles motion dynamic with laser interaction is crucial for applications in boiling heat transfer enhancement, precision laser surgery, and cell manipulation. Here, we investigate the micro-bubbles moti...
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The outer recirculation zone (ORZ) flame modes and their transition were experimentally investigated in lean premixed prevaporized n-decane/air swirling flames. The flame structure and flow field were measured employi...
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Elevated water cut obstructs recovery of heavy oil in later stage of heavy oil reservoir exploitation. This paper simulates such scenarios using one-dimensional sandstone cores filled with saturated oil utilizing hot ...
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Safety concerns have consistently presented substantial obstacles to the widespread adoption of lithium-sulfur (Li-S) batteries. Conventional polyolefin separators, which are characterized by low flash points and insu...
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This study delves into the control strategies for the Fluoride-salt-cooled High-temperature Reactor-Supercritical CO2 (SCO2) Brayton cycle power generation system under rapid grid load reduction scenarios. By developi...
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This study delves into the control strategies for the Fluoride-salt-cooled High-temperature Reactor-Supercritical CO2 (SCO2) Brayton cycle power generation system under rapid grid load reduction scenarios. By developing a dynamic simulation model, the system's dynamic response characteristics under rapid load changes were analyzed, and a combined control strategy emphasizing safety, speed, and economic efficiency was proposed. The research first compared the dynamic response characteristics and steady-state performance of different bypass configurations under load rejection conditions. The computational results indicate that all three bypass control systems exhibit excellent load-following capabilities, effectively responding to a 50 % load step change within 10 s. However, significant differences were observed in their steady-state thermodynamic performance: the upper cycle bypass control achieves the highest steady-state efficiency (η = 29.92 %), followed by the turbine bypass control (η = 27.50 %), with the heat source bypass control showing relatively lower efficiency (η = 26.49 %). Although the upper cycle bypass offers superior efficiency, it leads to a substantial increase in the working fluid flow through the compressor (ΔQ = 15 %) during operation, raising the risk of compressor blockage and necessitating additional flow restriction and anti-blocking interlock control systems. Considering system safety, control complexity, and engineering feasibility, the turbine bypass system, with its relative independence and lower operational risk, is deemed more suitable as the primary control strategy for load rejection conditions. Building on this, the study proposes a combined control strategy that leverages the strengths of both bypass control and inventory control. During the initial phase of rapid load reduction, the bypass control system quickly adjusts the turbine bypass valve opening to promptly respond to grid load changes, ensuring system frequency stability
As renewable energy penetration increases, Virtual power Plants (VPPs) must not only manage energy scheduling but also ensure system security, particularly in response to frequency fluctuations. Existing research focu...
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To study the effect of surface roughness on the corrosion behavior of austenitic steels in supercritical CO 2 , the corrosion experiments were conducted on 304 and 310S stainless steels at 550 °C and 15 ...
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To study the effect of surface roughness on the corrosion behavior of austenitic steels in supercritical CO 2 , the corrosion experiments were conducted on 304 and 310S stainless steels at 550 °C and 15 MPa. The corroded samples were characterized using XRD and SEM-EDS. The results demonstrate that surface roughness significantly affects the morphology and structure of the oxide films formed on 310S stainless steel. Samples prepared with varying surface roughness (grounded using from 200# to 1000# metallographic abrasive papers) showed that rougher surfaces tend to develop denser oxide layers, whereas smoother surfaces exhibit relatively loose and porous oxide films. Despite these differences in oxide structure, the overall corrosion weight gain remained largely unaffected, indicating minimal oxide shedding from 310S steel. The oxidation product is mainly Cr 2 O 3 . For 304 stainless steel, surface roughness was found to influence the composition of surface oxides. Both 200# and 1000# samples formed loose, porous oxide films prone to spallation, with the primary constituents being Fe 3 O 4 , (Fe, Cr) 3 O 4 and Fe 2 O 3 . Because the content of (Fe, Cr) 3 O 4 and Fe 3 O 4 of the former is higher, more voids appear in the oxide film, leading to spallation within the first 100 h of exposure. The rougher surface showed a more pronounced loss of oxide. But for the 600# sample, the main component is Fe 2 O 3 . Carburization was observed to intensify with increasing surface roughness in both materials. Notably, the 200# sample of 310S stainless steel exhibited more severe carburization compared to the 1000# sample of 304 stainless steel.
Objective The Monte Carlo (MC) method has become a cornerstone for simulation of light propagation in biological tissues, particularly for applications in laser therapy and medical imaging. However, traditional voxel-...
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Objective The Monte Carlo (MC) method has become a cornerstone for simulation of light propagation in biological tissues, particularly for applications in laser therapy and medical imaging. However, traditional voxel-based Monte Carlo (VMC) methods often exhibit significant errors when dealing with complex curved surfaces due to the inherent limitations of structured grid discretization. By contrast, tetrahedron-based Monte Carlo (TMC) methods, based on unstructured meshes, offer better adaptability to complex geometries but incur higher computational cost. This study aims to address the trade-off between computational efficiency and accuracy in light propagation simulations by proposing a novel correction method to improve the performance of VMC in handling curved interfaces with large refractive index differences. The objective is to enhance the accuracy of VMC while maintaining its computational efficiency, making it more viable for practical biomedical applications, such as laser treatment and optical diagnosis. Methods This study compares the performance of VMC and TMC in light propagation simulations under different refractive index conditions. We propose a coordinate transformation-based correction method to reduce the errors in VMC caused by the inaccurate handling of reflection and refraction at curved interfaces. The simulations were carried out on a multi-layer skin tissue model with varying refractive index conditions;the laser light was directed at blood vessels embedded within the dermis. The correction method involves transforming the photon direction vector in a way that accounts for the curvature of the interface, thereby improving the accuracy of light photon interactions at the tissue boundaries. Simulations were conducted using MATLAB, and the results were validated through experimental cases, such as diabetic retinopathy laser treatment. The computational setup included an Intel i7-9700K processor and an NVIDIA GTX 3080 graphics card (GPU). Resu
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