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MASTer:A high-performance stable temperature controller for high-pressure multi-anvil presses 认领 引用
1
作者 Guoliang Niu Shengbo Cao +3 位作者 Bingmin Yan Huiyang Gou Tomoo Katsura Ho-kwang Mao 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2025年第5期102-110,共9页
Maintaining stable high temperatures under pressure remains a challenge in high-pressure,high-temperature experiments using multi-anvil presses(MAPs).Temperature fluctuations exceeding 10℃ at high pressures are commo... Maintaining stable high temperatures under pressure remains a challenge in high-pressure,high-temperature experiments using multi-anvil presses(MAPs).Temperature fluctuations exceeding 10℃ at high pressures are common and particularly problematic with LaCrO3 heaters,which can experience significant power fluctuations and even failure due to substantial resistance changes—an issue conventional thyristorcontrolled heating systems cannot effectively manage.To address this limitation,we have developed the Multi-Anvil Stable Temperature controller(MASTer),a high-performance heating system optimized for MAP experiments.MASTer enables precise,high-speed measurement of heating parameters and power output control,incorporating a gentle regulation strategy to enhance stability.It ensures consistent heating across various heater types,including LaCrO3,with power fluctuations limited to±0.1 W and temperature fluctuations to within±2℃ in most cases.The design,operating principles,user interface,functionality,and performance of the heating system are discussed in detail. 展开更多
关键词 stable temperature control high pressure multi anvil presses heating systems gentle regulation strategy power fluctuations high performance temperature controller Lacros heaters thyristor controlled heating systems
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On-Chip Micro Temperature Controllers Based on Freestanding Thermoelectric Nano Films for Low-Power Electronics 认领 引用 被引量：2
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作者 Qun Jin Tianxiao Guo +4 位作者 Nicolas Perez Nianjun Yang Xin Jiang Kornelius Nielsch Heiko Reith 《Nano-Micro Letters》 SCIE EI CAS CSCD 2024年第7期98-108,共11页
Multidimensional integration and multifunctional com-ponent assembly have been greatly explored in recent years to extend Moore’s Law of modern microelectronics.However,this inevitably exac-erbates the inhomogeneity ... Multidimensional integration and multifunctional com-ponent assembly have been greatly explored in recent years to extend Moore’s Law of modern microelectronics.However,this inevitably exac-erbates the inhomogeneity of temperature distribution in microsystems,making precise temperature control for electronic components extremely challenging.Herein,we report an on-chip micro temperature controller including a pair of thermoelectric legs with a total area of 50×50μm2,which are fabricated from dense and flat freestanding Bi2Te3-based ther-moelectric nano films deposited on a newly developed nano graphene oxide membrane substrate.Its tunable equivalent thermal resistance is controlled by electrical currents to achieve energy-efficient temperature control for low-power electronics.A large cooling temperature difference of 44.5 K at 380 K is achieved with a power consumption of only 445μW,resulting in an ultrahigh temperature control capability over 100 K mW-1.Moreover,an ultra-fast cooling rate exceeding 2000 K s-1 and excellent reliability of up to 1 million cycles are observed.Our proposed on-chip temperature controller is expected to enable further miniaturization and multifunctional integration on a single chip for microelectronics. 展开更多
关键词 Temperature control Low-power electronics On-chip micro temperature controller Freestanding thermoelectric nano films Temperature-sensitive components
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Design and Implementation of a Digital PID Temperature Controller for Neonatal Incubator ESVIN 认领 引用
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作者 Jose Amadeo Daivalos Pinto Edwin Avila Cordova Claudio Bruno Castillon Levano 《Journal of Mechanics Engineering and Automation》 2015年第3期167-172,共6页
The project has as its aim the design and implementation of the control of temperature in the cockpit of the prototype of neonatal life support equipment ESVIN based on the international standard IEC 60601-2-19 concer... The project has as its aim the design and implementation of the control of temperature in the cockpit of the prototype of neonatal life support equipment ESVIN based on the international standard IEC 60601-2-19 concerning the basic security and operation of the neonatal incubators. The prototype has been developed and is important because the cockpit is a new concept of medical equipment of neonatal life support. There was a modeling of the system of heating of the incubator using the concepts of system identification with the purpose of finding a mathematical model that describes the dynamic behavior of the system. Then, design and implement the strategy of feedback control with digital PID （proportional-integral-derivative） algorithm. The model allowed the design and implementation of a digital PID controller that meets in a satisfactory manner with the requirements, in accordance with the international standard. The control system implemented in the neonatal incubator ESVIN improved the effectiveness of the neonatal life support equipment in regard to temperature controller of the cockpit. 展开更多
关键词 Neonatal incubator IEC 60601-2-19 digital PID algorithm temperature controller.
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Effect of calcination temperature on interlayer spacing and oxygen vacancies concentration of NaCu0.2Fe0.3Mn0.5O2 layered materials for sodium-ion batteries 认领 引用
4
作者 Bo-wen XU Da ZHANG +4 位作者 Xuan-tian FENG Sheng-ping HOU Peng DONG Dong-feng XUE Feng LIANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第2期600-613,共14页
NaCu0.2Fe0.3Mn0.5O2 (NCFM) cathode material was synthesized using a simple solid-state reaction, and the effect of calcination temperature on its interlayer spacing and oxygen vacancies concentration was i... NaCu0.2Fe0.3Mn0.5O2 (NCFM) cathode material was synthesized using a simple solid-state reaction, and the effect of calcination temperature on its interlayer spacing and oxygen vacancies concentration was investigated. Through electrochemical testing and material characterizations, higher calcination temperatures increase the electrostatic repulsion between oxygen atoms in adjacent layers, resulting in an expansion of Na layer spacing. This structural change enhances the diffusion kinetics of Na+, thereby significantly improving the rate performance of NCFM. Furthermore, elevated calcination temperatures facilitate the reduction of oxygen vacancies, leading to improved crystallinity. This enhancement in crystallinity mitigates structural strain during phase transitions, contributing to improved cyclic stability. Consequently, the optimized NCFM shows an initial discharge specific capacity of 143.3 mA·h/g at 0.1C, with a capacity retention rate of 79.28% after 100 cycles at 1C. 展开更多
关键词 sodium ion batteries calcination temperature control interlayer spacing oxygen vacancies electrochemical performance
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A novel small perturbation analytical model to investigate temperature control characteristics of spacecraft thermal systems in frequency domain 认领 引用
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作者 Yuehang SUN Yunze LI +3 位作者 Yupeng ZHOU Ran WEI Hao DANG Xin ZHAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期100-114,共15页
This paper introduces a small perturbation frequency domain thermal analysis model based on the nonlinear dynamics model.The model can be applied to study the high-precision temperature control of thermal systems unde... This paper introduces a small perturbation frequency domain thermal analysis model based on the nonlinear dynamics model.The model can be applied to study the high-precision temperature control of thermal systems under low-frequency complex perturbations.The frequency domain characteristics of the space gravitational wave detection satellite are analyzed,and a multi-channel perturbation structure is established.The effects of three kinds of heat flow perturbations,including external heat flow,power generation power,and waste heat of electronic equipment,on the temperature through five transfer paths are investigated.It has been discovered that the waste heat from electronic equipment inside the satellite has the most noticeable effect on the temperature power spectral density of temperature-sensitive optical loads,serving as the primary factor influencing thermal stability.For complex noise signals,the small perturbation analysis method can decompose the different frequency components or ranges,reducing the problem to linearized analysis and simplifying complex calculations.The results indicate that the temperature power spectral density decreases as signal frequency increases,with low-frequency signals exerting a greater influence on temperature stability.The small perturbation analysis method is a novel and effective method for temperature control of space thermal systems,with high accuracy and stability. 展开更多
关键词 Frequency domain analysis Gravitational prospecting Perturbation techniques Power spectral density Temperature control
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Temperature regulation of an optomechanical frame based on reinforcement learning active disturbance rejection control 认领 引用 被引量：1
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作者 GU Yanping ZHANG Hao +1 位作者 XU Tao QIAN Bin 《Journal of Southeast University(English Edition)》 EI CAS 2026年第1期112-120,共9页
Spaceborne optomechanical systems face the dual challenges of extreme thermal disturbances and millikelvin-level temperature control precision during orbital operations,demanding robust control strategies.To address t... Spaceborne optomechanical systems face the dual challenges of extreme thermal disturbances and millikelvin-level temperature control precision during orbital operations,demanding robust control strategies.To address the performance limitations of conventional fixed-parameter active disturbance rejection control(ADRC)under complex operating conditions,this work proposes a Qlearning-enhanced adaptive ADRC framework.A thermal-transfer model incorporating multisource disturbances(solar radiation,structural conduction,and contact thermal resistance)is established,coupled with a reinforcement learning-driven parameter optimization mechanism.The ε-greedy policy dynamically adjusts observer bandwidth(ωo∈[0.01,0.2])and controller bandwidth(ωc∈[0.01,0.1])to enable real-time estimation and compensation of total disturbances.Simulation results demonstrate significant improvements over fixed-parameter ADRC and a self-tuning internal model control proportional-integral(SIMC-PI)controller:31.3% and 15.4% reduction in settling time during setpoint responses,respectively;21.8% lower integral absolute error(IAE)than the fixed-parameter ADRC during setpoint step responses;12.7% and 52.5% enhancement in control precision over conventional fixed-parameter and SIMC-PI controllers,respectively,under±10 K periodic and step thermal disturbances.Monte Carlo robustness tests reveal smaller fluctuation ranges of IAE,settling time,and overshoot under±5% parameter perturbations.This methodology establishes a new paradigm for millikelvin-level thermal control in space optical payloads. 展开更多
关键词 optomechanical system active disturbance rejection controller Q-learning high precision temperature control
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A multi-objective control system for temperature control accuracy improvement during run-out table cooling process 认领 引用
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作者 Bao-Qian Tian Dian-Yao Gong +6 位作者 Cheng-Yan Ding Li-Jie Dong Qiu-Na Wang Guo Yuan Ke-Long Zhang Wei Zheng Jie Sun 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第2期131-147,共17页
Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling,limiting their temperature control accuracy.To overcome these drawbacks,an on... Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling,limiting their temperature control accuracy.To overcome these drawbacks,an online cooling system featuring multi-objective collaborative control is proposed.The proposed system achieves the synchronous control of the ultra-fast cooling temperature,middle temperature,and coiling temperature.First,the run-out table cooling zone is divided into multiple logical control zones,and traditional mechanism models are improved by introducing multiple heat flux adaptive coefficients.Then,a dynamic feedforward control method is developed to correct potential deviations in the calculation process.Finally,to enhance the proposed control system’s accuracy and self-learning capability,a multi-objective real-time adaptation strategy is introduced for dynamic heat flux adaptive coefficients adjustment.Analysis and application results show that the proposed multi-objective collaborative control system significantly improves the temperature control accuracy while ensuring the consistency of mechanical properties.Comparison results indicate that,under the proposed control system,the coiling temperature control accuracy within ±20℃ for segments located at 50 m from the strip head is improved by 26%,compared with the original control system.In addition,using the proposed system,the standard deviation of the yield strength is decreased by 38%,compared with the original control system. 展开更多
关键词 Run-out table Temperature control Multi-objective collaborative control system Dynamic feedforward control Multi-objective real-time adaptation
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Research on Intelligent Temperature Control Technology for Large-volume Concrete in Water Resources and Hydropower Projects 认领 引用
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作者 HU Zhihang 《外文科技期刊数据库（文摘版）工程技术》 2026年第3期070-074,共5页
In large-volume concrete applications during hydropower construction projects, temperature gradients and thermal stresses induced by hydration heat are the primary causes of cracking, severely compromising structural ... In large-volume concrete applications during hydropower construction projects, temperature gradients and thermal stresses induced by hydration heat are the primary causes of cracking, severely compromising structural integrity and long-term performance. Traditional temperature control methods relied predominantly on empirical experience and manual inspections, often exhibiting slow response times and suboptimal effectiveness. To address these challenges, this study investigates an innovative temperature control technology integrating the Internet of Things (IoT), numerical simulation, and intelligent algorithms. A distributed IoT-based temperature sensor network enables real-time monitoring of concrete temperature distribution throughout the entire curing process—from pouring initiation to completion—with precise data transmission to management personnel. Additionally, a three-dimensional temperature field simulation and prediction model has been developed, continuously refined through real-time data analysis to enhance accuracy in identifying temperature patterns. Leveraging this model, an intelligent regulation system has been designed that utilizes simulation results to guide operational decisions: it rapidly calculates optimal cooling water flow rates, target temperatures, and optimal activation timing based on collected data, while automatically implementing effective thermal insulation measures. This establishes a comprehensive management cycle encompassing perception, prediction, and regulation phases. The research team has also developed a prototype version of a cloud-based management platform integrating multiple aforementioned functions. 展开更多
关键词 Large-volume concrete Intelligent temperature control Internet of Things Numerical simulation Model predictive control
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SOFC temperature evaluation based on an adaptive fuzzy controller 认领 引用 被引量：1
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作者 Xiao-juan WU Xin-jian ZHU +1 位作者 Guang-yi CAO Heng-yong TU 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2008年第5期688-694,共7页
The operating temperature of a solid oxide fuel cell (SOFC) stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy cont... The operating temperature of a solid oxide fuel cell (SOFC) stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy control method based on an affine nonlinear temperature model is developed to control the temperature of the SOFC within a specified range. Fuzzy logic systems are used to approximate nonlinear functions in the SOFC system and an adaptive technique is employed to construct the controller. Compared with the traditional fuzzy and proportion-integral-derivative (PID) control, the simulation results show that the designed adaptive fuzzy control method performed much better. So it is feasible to build an adaptive fuzzy controller for temperature control of the SOFC. 展开更多
关键词 Solid oxide fuel cell （SOFC） Temperature control Adaptive fuzzy controller Affine temperature model
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Dynamic temperature control of dividing wall batch distillation with middle vessel based on neural network soft-sensor and fuzzy control 认领 引用 被引量：2
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作者 Xiaoyu Zhou Erwei Song +1 位作者 Mingmei Wang Erqiang Wang 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2025年第3期200-211,共12页
Dividing wall batch distillation with middle vessel(DWBDM)is a new type of batch distillation column,with outstanding advantages of low capital cost,energy saving and flexible operation.However,temperature control of ... Dividing wall batch distillation with middle vessel(DWBDM)is a new type of batch distillation column,with outstanding advantages of low capital cost,energy saving and flexible operation.However,temperature control of DWBDM process is challenging,since inherently dynamic and highly nonlinear,which make it difficult to give the controller reasonable set value or optimal temperature profile for temperature control scheme.To overcome this obstacle,this study proposes a new strategy to develop temperature control scheme for DWBDM combining neural network soft-sensor with fuzzy control.Dynamic model of DWBDM was firstly developed and numerically solved by Python,with three control schemes:composition control by PID and fuzzy control respectively,and temperature control by fuzzy control with neural network soft-sensor.For dynamic process,the neural networks with memory functions,such as RNN,LSTM and GRU,are used to handle with time-series data.The results from a case example show that the new control scheme can perform a good temperature control of DWBDM with the same or even better product purities as traditional PID or fuzzy control,and fuzzy control could reduce the effect of prediction error from neural network,indicating that it is a highly feasible and effective control approach for DWBDM,and could even be extended to other dynamic processes. 展开更多
关键词 Dividing wall batch distillation column Middle-vessel Temperature control Neural network soft-sensor Fuzzy control
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Impact of Skin Temperature Control Variable on the Assimilation of Microwave Temperature-sounding Channels in Regional Numerical Weather Prediction 认领 引用 被引量：1
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作者 Yaodeng CHEN Qihang YANG +3 位作者 Luyao QIN Yuanbing WANG Deming MENG Xusheng YAN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2025年第3期564-578,共15页
Accurate skin temperature is one of the critical factors in successfully assimilating satellite radiance data over land.However,model-simulated skin temperature may not be accurate enough.To address this issue,an exte... Accurate skin temperature is one of the critical factors in successfully assimilating satellite radiance data over land.However,model-simulated skin temperature may not be accurate enough.To address this issue,an extended skin temperature control variable(TSCV) approach is proposed in a variational assimilation framework,which also considers the background error correlation between skin temperature and atmospheric variables.A series of single observation tests and a 10-day cycling assimilation experiment were conducted to evaluate the impact of the TSCV approach on the assimilation of AMSU-A and ATMS(Advanced Technology Microwave Sounder) microwave temperature-sounding channels over land.The results of the single observation tests show that by applying the TSCV approach,not only the direct analysis of skin temperature is realized,but also the interaction between skin temperature and atmospheric variables can be achieved during the assimilation process.The results of the cycling experiment demonstrate that the TSCV approach improves the skin temperature analysis,which in turn reduces the RMSE of the surface variables and low-level air temperature forecasts.The TSCV approach also reduces the difference between the observed and simulated brightness temperatures of both microwave and infrared window channels over land,suggesting that the approach can facilitate the radiance simulation of these channels,thus contributing to the assimilation of window channels. 展开更多
关键词 radiance assimilation skin temperature control variable microwave temperature-sounding numerical weather prediction
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Thermal Management Controller for Heat Source Temperature Control and Thermal Management 认领 引用
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作者 皇甫艺 吴静怡 +1 位作者 王如竹 李胜 《Journal of Shanghai Jiaotong university(Science)》 EI 2009年第1期58-63,共6页
In many heat recovery processes,temperature control of heat source is often required to ensure safety and high efficiency of the heat source equipment.In addition,the management of recovered heat is important for the ... In many heat recovery processes,temperature control of heat source is often required to ensure safety and high efficiency of the heat source equipment.In addition,the management of recovered heat is important for the proper use of waste heat.To this aim,the concept of thermal management controller(TMC),which can vary heat transfer rate via the volume variation of non-condensable gas,was presented.Theoretical model and experimental prototype were established.Investigation shows that the prototype is effective in temperature control With water as the working fluid,the vapor temperature variation is only 1.3℃when the heating power varies from 2.5 to 10.0 kW.In variable working conditions,this TMC can automatically adjust thermal allocation to the heat consumer. 展开更多
关键词 temperature control thermal management heat recovery non-condensable gas condensing heat transfer
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Temperature control for liquid-cooled fuel cells based on fuzzy logic and variable-gain generalized supertwisting algorithm 认领 引用
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作者 CHEN Lin JIA Zhi-huan +1 位作者 DING Tian-wei GAO Jin-wu 《控制理论与应用》 EI CAS CSCD 北大核心 2025年第8期1596-1605,共10页
The liquid cooling system(LCS)of fuel cells is challenged by significant time delays,model uncertainties,pump and fan coupling,and frequent disturbances,leading to overshoot and control oscillations that degrade tempe... The liquid cooling system(LCS)of fuel cells is challenged by significant time delays,model uncertainties,pump and fan coupling,and frequent disturbances,leading to overshoot and control oscillations that degrade temperature regulation performance.To address these challenges,we propose a composite control scheme combining fuzzy logic and a variable-gain generalized supertwisting algorithm(VG-GSTA).Firstly,a one-dimensional(1D)fuzzy logic controler(FLC)for the pump ensures stable coolant flow,while a two-dimensional(2D)FLC for the fan regulates the stack temperature near the reference value.The VG-GSTA is then introduced to eliminate steady-state errors,offering resistance to disturbances and minimizing control oscillations.The equilibrium optimizer is used to fine-tune VG-GSTA parameters.Co-simulation verifies the effectiveness of our method,demonstrating its advantages in terms of disturbance immunity,overshoot suppression,tracking accuracy and response speed. 展开更多
关键词 liquid-cooled fuel cell temperature control generalized supertwisting algorithm fuzzy control equilibrium optimizer
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A Prediction Method for Concrete Mixing Temperature Based on the Fusion of Physical Models and Neural Networks 认领 引用
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作者 Lei Zheng Hong Pan +6 位作者 Yuelei Ruan Guoxin Zhang Lei Zhang Jianda Xin Zhenyang Zhu Jianyao Zhang Wei Liu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第12期3217-3241,共25页
As a critical material in construction engineering,concrete requires accurate prediction of its outlet temperature to ensure structural quality and enhance construction efficiency.This study proposes a novel hybrid pr... As a critical material in construction engineering,concrete requires accurate prediction of its outlet temperature to ensure structural quality and enhance construction efficiency.This study proposes a novel hybrid prediction method that integrates a heat conduction physical model with a multilayer perceptron(MLP)neural network,dynamically fused via a weighted strategy to achieve high-precision temperature estimation.Experimental results on an independent test set demonstrated the superior performance of the fused model,with a root mean square error(RMSE)of 1.59℃ and a mean absolute error(MAE)of 1.23℃,representing a 25.3%RMSE reduction compared to conventional physical models.Ambient temperature and coarse aggregate temperature were identified as the most influential variables.Furthermore,the model-based temperature control strategy reduced costs by 0.81 CNY/m3,showing significant potential for improving resource efficiency and supporting sustainable construction practices. 展开更多
关键词 Concrete outlet temperature prediction physical model neural network dynamic weight fusion temperature control
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Effects of different thermal insulated drill pipe deployment methods on wellbore temperature control in ultra-deep wells 认领 引用
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作者 Heng-Rui Zhang Yi-Nao Su +4 位作者 Mao-Lin Liao Hong-Yu Wu Hai-Yan Zhang Hao-Yu Wang Ke Liu 《Petroleum Science》 SCIE EI CAS CSCD 2025年第10期4174-4194,共21页
The exploitation of oil resources has now extended to ultra-deep formations,with depths even exceeding 10,000 m.During drilling operations,the bottomhole temperature(BHT)can surpass 240℃.Under such high-temperature c... The exploitation of oil resources has now extended to ultra-deep formations,with depths even exceeding 10,000 m.During drilling operations,the bottomhole temperature(BHT)can surpass 240℃.Under such high-temperature conditions,measurement while drilling(MWD)instruments are highly likely to malfunction due to the inadequate temperature resistance of their electronic components.As a wellbore temperature control approach,the application of thermal insulated drill pipe(TIDP)has been proposed to manage the wellbore temperature in ultra-deep wells.This paper developed a temperature field model for ultra-deep wells by coupling the interactions of multiple factors on the wellbore temperature.For the first time,five distinct TIDP deployment methods were proposed,and their corresponding wellbo re temperature variation characte ristics were investigated,and the heat transfer laws of the ultra-deep wellbore-formation system were quantitatively elucidated.The results revealed that TIDP can effectively restrain the rapid rise in the temperature of the drilling fluid inside the drill string by reducing the heat flux of the drill string.Among the five deployment methods,the method of deploying TIDP from the bottomhole upwards exhibits the best performance.For a 12,000 m simulated well,when6000 m of TIDP are deployed from the bottomhole upwards,the BHT decreases by 52℃,while the outlet temperature increases by merely 1℃.This not only achieves the objective of wellbore temperature control but also keeps the temperature of the drilling fluid at the outlet of annulus at a relatively low level,thereby reducing the requirements for the heat exchange equipment on the ground.The novel findings of this study provide significant guidance for wellbore temperature control in ultra-deep and ultra-high-temperature wells. 展开更多
关键词 Ultra-deep wells Thermal insulated drill pipe Wellbore temperature control Deployment methods Numerical simulation
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Developments and Prospects in Temperature Control Technique of Loop Heat Pipe for Spacecraft 认领 引用
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作者 Chuxin Wang Qi Wu +5 位作者 Zenong Fang Chang Liu Guoguang Li Ye Wang Hongxing Zhang Jianyin Miao 《Frontiers in Heat and Mass Transfer》 EI CAS 2025年第4期1261-1280,共20页
With the development of space-based remote sensing and deep space exploration technology,higher standards for temperature stability and uniformity of payloads have been proposed to spacecraft thermal control systems.A... With the development of space-based remote sensing and deep space exploration technology,higher standards for temperature stability and uniformity of payloads have been proposed to spacecraft thermal control systems.As an efficient two-phase heat transfer device with active temperature control capabilities,the loop heat pipe(LHP)can be widely applied in spacecraft thermal control systems to achieve reliable temperature control under various operating modes and complex space thermal environments.This paper analyzes the fundamental theories of thermal switch-controlled,reservoir temperature-controlled,and bypass valve-controlled LHPs.The focus is on the theories and methods of achieving high-precision and high-reliability temperature control via active reservoir temperature control.Novel control techniques in recent years,such as non-condensable gas(NCG)control with a temperature stability of 0.01℃ ,are also briefly introduced as promising approaches to improve LHP performance.The on-orbit performance and characteristics of various LHP temperature control methods are provided and ranked in terms of control precision,energy consumption,complexity,and weight.Thermoelectric cooler(TEC)/electrical heater,as the foundation of reservoir temperature control,can achieve a temperature stability of in space applications under±0.2℃ a wide range of heat load.Microgravity model,control strategy,and operating mode conversion are three optimization directions that would hopefully further expand the application scenario of reservoir temperature control.Specific design principles and challenges for corresponding directions are summarized as guidance for researchers. 展开更多
关键词 Loop heat pipe temperature control spacecraft
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Energy adaptive regulation of a multifunctional neuron circuit 认领 引用
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作者 Xi-Kui Hu Juan Yang Ping Zhou 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第1期93-106,共14页
This study constructs a dual-capacitor neuron circuit(connected via a memristor)integrated with a phototube and a thermistor to simulate the ability of biological neurons to simultaneously perceive light and thermal s... This study constructs a dual-capacitor neuron circuit(connected via a memristor)integrated with a phototube and a thermistor to simulate the ability of biological neurons to simultaneously perceive light and thermal stimuli.The circuit model converts photothermal signals into electrical signals,and its dynamic behavior is described using dimensionless equations derived from Kirchhoff's laws.Based on Helmholtz's theorem,a pseudo-Hamiltonian energy function is introduced to characterize the system's energy metabolism.Furthermore,an adaptive control function is proposed to elucidate temperature-dependent firing mechanisms,in which temperature dynamics are regulated by pseudo-Hamiltonian energy.Numerical simulations using the fourth-order Runge-Kutta method,combined with bifurcation diagrams,Lyapunov exponent spectra,and phase portraits,reveal that parameters such as capacitance ratio,phototube voltage amplitude/frequency,temperature,and thermistor reference resistance significantly modulate neuronal firing patterns,inducing transitions between periodic and chaotic states.Periodic states typically exhibit higher average pseudo-Hamiltonian energy than chaotic states.Two-parameter analysis demonstrates that phototube voltage amplitude and temperature jointly govern firing modes,with chaotic behavior emerging within specific parameter ranges.Adaptive control studies show that gain/attenuation factors,energy thresholds,ceiling temperatures,and initial temperatures regulate the timing and magnitude of system temperature saturation.During both heating and cooling phases,temperature dynamics are tightly coupled with pseudoHamiltonian energy and neuronal firing activity.These findings validate the circuit's ability to simulate photothermal perception and adaptive temperature regulation,contributing to a deeper understanding of neuronal encoding mechanisms and multimodal sensory processing. 展开更多
关键词 photothermal sensing neuron pseudo-Hamiltonian energy chaotic firing adaptive temperature control bifurcation analysis
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A novel drill-milling technology for robot-assisted implant osteotomy preparation:simulation and an ex vivo validation study 认领 引用
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作者 Chaofan LI Kangjie CHENG +3 位作者 Chenhao YU Russell WANG Fudong ZHU Yunfeng LIU 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第8期906-917,I0023,共12页
Objective:Excessive frictional heat generated at the drill–bone interface during implant osteotomy can compromise osseointegration and lead to implant failure.This study’s objective was to use a helical milling tech... Objective:Excessive frictional heat generated at the drill–bone interface during implant osteotomy can compromise osseointegration and lead to implant failure.This study’s objective was to use a helical milling technique for dental implant osteotomy preparation to mitigate thermal damage to the bone.Methods:This study introduces a novel helical milling technique designed to minimize thermal damage to bone during dental implant osteotomy preparations.Finite element simulations were conducted to compare the thermal distribution and cutting stress of a conventional twist drill and the newly designed helical drill.The experimental validation was performed ex vivo on animal bone using a robot-assisted osteotomy system.Results:The finite element simulations revealed that the helical drill produced a maximum cutting stress of 128.9 MPa,higher than the 121.0 MPa generated by the twist drill,indicating improved cutting efficiency.The ex vivo study demonstrated that the helical milling technique maintained the drilling site temperature below 38.7℃,which was significantly lower than the clinically critical threshold of 47℃and the 61℃recorded with the twist drill.Furthermore,the helical milling process facilitated efficient bone chip removal,reducing thermal buildup.Conclusions:These findings suggest that the helical milling tool and technique optimize robot-assisted osteotomy and effectively mitigate frictional heat generation at the drill–bone interface.This innovation holds promise for enhancing osseointegration success rates in dental implant procedures,offering a clinically viable solution to a long-standing challenge in implantology. 展开更多
关键词 Drill-milling technology Robot-assisted drilling Implant osteotomy preparation Finite-element analysis Temperature control
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Enhanced Convective Heat Transfer in Pyrolysis Furnaces via Impeller-Induced Stirring 认领 引用
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作者 Hongyun Bai Jianxin Xu +4 位作者 Wenbo Shi Xiaowei Ma Jun Ma Shaoyin Zhu Hua Wang 《Fluid Dynamics & Materials Processing》 EI 2026年第2期179-204,共26页
Optimizing pyrolysis processes is critical for improving the efficiency of pyrolysis furnaces.This study presents a strategy to enhance heat transfer through agitation,employing Fluent for detailed numerical simulatio... Optimizing pyrolysis processes is critical for improving the efficiency of pyrolysis furnaces.This study presents a strategy to enhance heat transfer through agitation,employing Fluent for detailed numerical simulation of the thermal behavior.The simulation results show strong agreement with experimental measurements of localized fluid temperature rise.Forced convection induced by impeller rotation significantly improves heat transfer between the fluid and the furnace walls,effectively reducing thermal stratification.At an impeller speed of 240 RPM,the axial temperature difference decreases from 200 K to 50 K compared with stationary conditions,while the average heat transfer coefficient increases by approximately 50%throughout the heating process.The swirl flow generated by impeller motion disrupts the thermal boundary layer,achieving a more uniform temperature distribution and faster thermal response. 展开更多
关键词 Furnace temperature control natural convection numerical simulation stirring temperature uniformity
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A Two-stage pH and Temperature Control with Substrate Feeding Strategy for Production of Gamma-aminobutyric Acid by Lactobacillus brevis CGMCC 1306 认领 引用 被引量：8
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作者 彭春龙 黄俊 +3 位作者 胡升 赵伟睿 姚善泾 梅乐和 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2013年第10期1190-1194,共5页
Methods to optimize the production of gamma-aminobutyric acid （GABA） by Lactobacillus brevis CGMCC 1306 were investigated. Results indicated that cell growth was maximal at pH 5.0, while pH 4.5 was pref-erable to GA... Methods to optimize the production of gamma-aminobutyric acid （GABA） by Lactobacillus brevis CGMCC 1306 were investigated. Results indicated that cell growth was maximal at pH 5.0, while pH 4.5 was pref-erable to GABA formation. The optimal temperature for cell growth （35 °C） was lower than that for GABA forma-tion （40 °C）. In a two-stage pH and temperature control fermentation, cultures were maintained at pH 5.0 and 35 °C for 32 h, then adjusted to pH 4.5 and 40 °C, GABA production increased remarkably and reached 474.79 mmol·L-1 at 72 h, while it was 398.63 mmol·L-1 with one stage pH and temperature control process, in which cultivation con-ditions were constantly controlled at pH 5.0 and 35 °C. In order to avoid the inhibition of cell growth at higher L-monosodium glutamate （L-MSG） concentrations, the two-stage control fermentation with substrate feeding strat-egy was applied to GABA production, with 106.87 mmol （20 g） L-MSG supplemented into the shaking-flask at 32 h and 56 h post-inoculation separately. The GABA concentration reached 526.33 mmol·L-1 at 72 h with the fer-mentation volume increased by 38%. These results will provide primary data to realize large-scale production of GABA by L. brevis CGMCC 1306. 展开更多
关键词 gamma-aminobutyric acid Lactobacillus brevis CGMCC 1306 two-stage pH and temperature control substrate feeding
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