Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extens...Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extensive attention due to their advantages of small size,high multiplexing efficiency,convenient mass production,and low cost.An RGB beam combiner based on directional couplers is designed,with a core-cladding relative refractive index difference of 0.75%.The RGB beam combiner is optimized from the perspective of parameter optimization.Using the beam propagation method(BPM),the relationship between the performance of the RGB beam combiner and individual parameters is studied,achieving preliminary optimization of the device’s performance.The key parameters of the RGB beam combiner are optimized using the entropy weight-technique for order preference by similarity to an ideal solution TOPSIS method,establishing the optimal parameter scheme and further improving the device’s performance indicators.The results show that after optimization,the multiplexing efficiencies for red,green,and blue lights,as well as the average multiplexing efficiency,reached 99.17%,99.76%,96.63%and 98.52%,respectively.The size of the RGB beam combiner is 4.768 mm×0.062 mm.展开更多
Global climate change makes forestry carbon sequestration a hot issue. In order to improve the comprehensive benefits of forest management, this paper studies the carbon accounting problem, and uses the forest stock c...Global climate change makes forestry carbon sequestration a hot issue. In order to improve the comprehensive benefits of forest management, this paper studies the carbon accounting problem, and uses the forest stock conversion factor method to create a carbon sequestration accounting model based on the reserve transformation method. Then, the HWP carbon sequestration accounting algorithm is obtained after the improvement of the reserve change method and the atmospheric flow method with the HWP half-life as a bridge. Based on the ecological and economic benefits, a multi-objective and multi-attribute decision-making model for forest management plan is constructed, and the optimal strategy of stand structure based on selective cutting is proposed. Finally, the entropy weight TOPSIS method is used to quantitatively analyze the comprehensive benefit value and provide suggestions for forestry departments. To verify the model, we chose the Greater Khingan Mountains forest region as the research site. Through successive iterations of CSAM, we calculate that the forest will absorb 534 million tons of live forest and forest products in 100 years. From the stand structure of the forest area, when the selected cutting intensity is 20% and the selected cutting cycle is 10.7 years, the comprehensive benefit value of the Greater Khingan Mountains is the highest.展开更多
Because of the surging demand for clean energy,the performance and safety of lithium-ion batteries(LIBs)for energy storage and conversion have received much attention.This study presents a battery thermal management s...Because of the surging demand for clean energy,the performance and safety of lithium-ion batteries(LIBs)for energy storage and conversion have received much attention.This study presents a battery thermal management system(BTMS)that combines air cooling with microchannel liquid cooling.The system is optimized to significantly improve heat dissipation efficiency and reduce energy consumption.The study utilizes computational fluid dynamics(CFD)simulations to analyze the effects of various air supply velocities,microchannel cross-sectional dimensions,and cooling water flow rates on the thermal performance,which leads to a step-by-step optimization and an overall improvement of the BTMS performance.The balance between BTMS thermal performance and energy consumption is achieved by expanding the thermal performance data samples using the orthogonal method and subsequent multi-objective optimization of energy consumption and heat dissipation using the entropy-weighted Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method to determine the optimal operating parameters.This study highlights the potential for optimizing LIB thermal management through parameter tuning and validates the effectiveness of a comprehensive optimized hybrid cooling strategy in improving battery performance and safety.展开更多
基金Project(52175445)supported by the National Natural Science Foundation of ChinaProject(2022JJ30743)supported by the Natural Science Foundation of Hunan Province,China+1 种基金Project(2023GK2024)supported by the Key Research and Development Program of Hunan Province,ChinaProject(2023ZZTS0391)supported by the Fundamental Research Funds for the Central Universities of China。
文摘Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extensive attention due to their advantages of small size,high multiplexing efficiency,convenient mass production,and low cost.An RGB beam combiner based on directional couplers is designed,with a core-cladding relative refractive index difference of 0.75%.The RGB beam combiner is optimized from the perspective of parameter optimization.Using the beam propagation method(BPM),the relationship between the performance of the RGB beam combiner and individual parameters is studied,achieving preliminary optimization of the device’s performance.The key parameters of the RGB beam combiner are optimized using the entropy weight-technique for order preference by similarity to an ideal solution TOPSIS method,establishing the optimal parameter scheme and further improving the device’s performance indicators.The results show that after optimization,the multiplexing efficiencies for red,green,and blue lights,as well as the average multiplexing efficiency,reached 99.17%,99.76%,96.63%and 98.52%,respectively.The size of the RGB beam combiner is 4.768 mm×0.062 mm.
文摘Global climate change makes forestry carbon sequestration a hot issue. In order to improve the comprehensive benefits of forest management, this paper studies the carbon accounting problem, and uses the forest stock conversion factor method to create a carbon sequestration accounting model based on the reserve transformation method. Then, the HWP carbon sequestration accounting algorithm is obtained after the improvement of the reserve change method and the atmospheric flow method with the HWP half-life as a bridge. Based on the ecological and economic benefits, a multi-objective and multi-attribute decision-making model for forest management plan is constructed, and the optimal strategy of stand structure based on selective cutting is proposed. Finally, the entropy weight TOPSIS method is used to quantitatively analyze the comprehensive benefit value and provide suggestions for forestry departments. To verify the model, we chose the Greater Khingan Mountains forest region as the research site. Through successive iterations of CSAM, we calculate that the forest will absorb 534 million tons of live forest and forest products in 100 years. From the stand structure of the forest area, when the selected cutting intensity is 20% and the selected cutting cycle is 10.7 years, the comprehensive benefit value of the Greater Khingan Mountains is the highest.
文摘Because of the surging demand for clean energy,the performance and safety of lithium-ion batteries(LIBs)for energy storage and conversion have received much attention.This study presents a battery thermal management system(BTMS)that combines air cooling with microchannel liquid cooling.The system is optimized to significantly improve heat dissipation efficiency and reduce energy consumption.The study utilizes computational fluid dynamics(CFD)simulations to analyze the effects of various air supply velocities,microchannel cross-sectional dimensions,and cooling water flow rates on the thermal performance,which leads to a step-by-step optimization and an overall improvement of the BTMS performance.The balance between BTMS thermal performance and energy consumption is achieved by expanding the thermal performance data samples using the orthogonal method and subsequent multi-objective optimization of energy consumption and heat dissipation using the entropy-weighted Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method to determine the optimal operating parameters.This study highlights the potential for optimizing LIB thermal management through parameter tuning and validates the effectiveness of a comprehensive optimized hybrid cooling strategy in improving battery performance and safety.
