Article
Engineering, Multidisciplinary
Shuai Cheng, Yuezhong Feng, Kuangguidong Wang, Xianghui Meng
Summary: A sliding dynamics model considering the floating fixed scroll was established in this study to explore its influence on the performance of scroll compressors. The results showed that the floating scheme provided compensation space for component deformation, which improved the operational stability and reduced friction work compared to the fixed scheme.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
Article
Computer Science, Artificial Intelligence
K. Aditya Shastry, H. A. Sanjay
Summary: Crop yield prediction is crucial in agriculture, but many developing countries still rely on manual methods which are inefficient and error-prone. To address this issue, a hybrid prediction strategy is proposed, incorporating weighted principal component analysis and artificial neural network to enhance the accuracy of crop yield prediction.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Yuqi Zhu, Wei Yuan, Qianjian Guo, Wenhua Wang, Liguo Zhang, Shuailun Zhu
Summary: This study conducted kinematic simulation to reveal the reasons for the impact between the orbiting scroll and Oldham's coupling, and improved the contact form between them by optimizing the structure of Oldham's coupling convex key, thereby enhancing the working stability of the scroll compressor.
Article
Chemistry, Applied
Yueyi Zhang, Danshi Zhu, Xiaojun Ren, Yusi Shen, Xuehui Cao, He Liu, Jianrong Li
Summary: This paper investigates the sensory qualities of apples, such as flavor, texture, color, and taste, during storage at different temperatures. The results show that lower storage temperatures can better maintain the color, flesh hardness, and release of volatile compounds of apples. The PLS and ANN models successfully predict apple shelf life.
Article
Automation & Control Systems
Pema Lhamo, Biswanath Mahanty
Summary: This study demonstrates that multiple analytical methods can be used to accurately predict residual biomass in Cupriavidus necator, overcoming the limitations of optical density measurements when cell size and morphology change.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Thermodynamics
Siyu Zheng, Mingshan Wei, Yu Zhou, Chenxing Hu, Panpan Song
Summary: This paper proposes a passive flow control method for tangential leakage in scroll compressors using continuous seal-grooves. Numerical methods were used to investigate the flow characteristics and the impacts of seal-groove parameters on compressor performance. The results suggest that appropriate seal-groove parameters can improve volumetric efficiency and isentropic efficiency.
APPLIED THERMAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Ammar N. Hanoon, Ahmed W. Al Zand, Zaher Mundher Yaseen
Summary: Numerous experimental studies have focused on the flexural performance of concrete-filled steel tube beams, but theoretical modeling of these beams remains challenging. This research introduces new numerical models for simulating the flexural capacities of CFST beams under static bending load. The results demonstrate that the proposed PSO-ANN model is capable of accurately predicting the flexural strength and stiffness capacities of CFST beams.
ENGINEERING WITH COMPUTERS
(2022)
Article
Environmental Sciences
Mohammad Ehteram, Ali Najah Ahmed, Sarmad Dashti Latif, Yuk Feng Huang, Meysam Alizamir, Ozgur Kisi, Cihan Mert, Ahmed El-Shafie
Summary: This study explored the effectiveness of artificial neural network (ANN) models in predicting suspended sediment load (SSL) and found that a hybrid ANN-WA model outperformed other ANN models, leading to improved accuracy in SSL prediction. An optimisation algorithm was introduced in a multi-objective framework to determine the best combination of inputs for predicting SSL, resulting in significant improvement in accuracy when hybridised with the ANN model and WA algorithm.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Thermodynamics
Xinxin Zhang, Bin Zhang, Jian Cao, Lin Su, Kang Li
Summary: This paper establishes a three-dimensional transient simulation model to study the influence of different injection features on the internal flow field and performance of a vapor injection scroll compressor. The results show that the closer the injection port is to the discharge port, the higher the isentropic efficiency and the lower the discharge temperature. Heat aggregation and shock pressure phenomena were observed, which may affect the operational stability of the orbiting scroll and lead to leakage troubles. Smaller injection inclinations result in weaker heat aggregation and lower shock pressure.
APPLIED THERMAL ENGINEERING
(2022)
Article
Energy & Fuels
Xiaoran Li, Weifeng Wu, Jing Zhang, Chengqiang Guo, Feng Ke, Fuqiang Jiang
Summary: In this study, numerical calculations and analysis were conducted on a high-speed scroll refrigeration compressor to investigate the influence of rotational speed on its performance. The results showed that higher rotational speed led to increased pressure fluctuation and over-compression. The importance of the seal at the start of the scroll in the design of high-speed scroll compressors was emphasized.
Article
Engineering, Mechanical
M. Vivekanandhan, K. Rajmohan, C. Senthilkumar
Summary: Aluminum matrix composites (AMCs) are gaining attention for their lightweight and excellent wear resistance. In this study, electro-discharge machining (EDM) was used to process an aluminum alloy with reinforcement particles. The effects of current, pulse-on time, and pulse-off time on material removal rate and tool wear rate were investigated using a face-centered central composite design. An Artificial Neural Network (ANN) model was developed to predict the machining results.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2022)
Article
Food Science & Technology
Teodora Basile, Antonio Domenico Marsico, Rocco Perniola
Summary: In this study, non-destructive NIR spectroscopy and machine learning techniques were used to predict texture parameters and total soluble solids content in intact grape berries. The multivariate models built using artificial neural networks and partial least squares regressions showed improved prediction accuracy after eliminating uninformative spectral ranges. A high prediction accuracy was achieved for total soluble solids content and springiness, while qualitative models were obtained for hardness and chewiness. Unfortunately, a satisfactory calibration model could not be established for cohesiveness. The size of the grape berries is closely related to their textural parameters, requiring a time-consuming sorting step before texture measurement.
Article
Energy & Fuels
Panpan Song, Ding Wu, Zhenbo Lu, Siyu Zheng, Mingshan Wei, Weilin Zhuge, Yangjun Zhang
Summary: The present paper proposes and validates an improved geometric theoretical model of a scroll compressor, which accurately describes the volume variation of the working chambers. Based on this model, transient throughflow modeling and performance evaluation of a carbon dioxide scroll compressor were conducted. The mechanisms and influencing factors of suction precompression and asymmetry discharging were analyzed.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Management
Praveen Ranjan Srivastava, Prajwal Eachempati, Vincent Charles, Nripendra P. Rana
Summary: This study aims to develop a customized hotel recommendation model for predicting sales rank. By considering factors such as distance from a strategic location, online ratings, word-of-mouth rating, hotel tariff, and customer reviews, the Artificial Neural Network algorithm can predict sales rank more accurately.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Acoustics
Chuang Wang, Zhen Wang, Weiguo Yan, Hongkun Li, Chunli Yang
Summary: This study investigates the dynamic performance and structural acoustic radiation characteristics of a high-power scroll compressor under dynamic excitation through simulation and experimentation, establishing a prediction model for housing radiated noise and verifying its accuracy. The results show that accurate prediction of housing vibration and radiation noise can be achieved by modeling gas force and approximating actual gas load, providing important references for low-noise design.
SHOCK AND VIBRATION
(2021)
Article
Thermodynamics
Wenzhong Gao, Zijie Wu, Zhen Tian, Yuan Zhang
Summary: This study investigates the experimental research on cryogenic ORC using a semi-hermetic scroll expander and propane, with liquid nitrogen as the cryogenic cold source and circulation water as the low-grade waste heat source. The effects of evaporation pressure and pressure drop on system performance are examined, and the comparison between regenerative organic Rankine cycle (RORC) and basic organic Rankine cycle (BORC) is made. The results indicate the significant impact of evaporation pressure on system performance and the better performance of RORC over BORC.
APPLIED THERMAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenzhong Gao, Xingzong Huang, Mengya Lin, Jing Jia, Zhen Tian
Summary: This study proposes a short-term load prediction framework for accurately predicting cooling load of office buildings using a feature selection scheme and stacking ensemble model. The identified input features improve prediction performance and the model shows preferable accuracy compared to existing ones. The stacking ensemble model is also robust to weather forecasting errors.
ENGINEERING COMPUTATIONS
(2022)
Article
Thermodynamics
Zhen Tian, Feng Wang, Bo Gu, Yuan Zhang, Wenzhong Gao
Summary: This paper experimentally investigates the heat transfer characteristics of pool boiling on horizontal U-shaped tubes in a large-scale confined space, finding that the heat transfer coefficient increases with increasing saturation temperature and heat flux for both smooth and fin-enhanced tubes. The fin-enhanced tube facilitates bubble nucleation and enhances the heat transfer coefficient. Comparing experimental heat transfer coefficients with correlations from literature, R-J correlation and Copper correlation are found to be the optimal correlations for smooth and enhanced tubes, respectively.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Thermodynamics
Weijie Zeng, Zhongxing Du, Bo Gu, Zhiting Zhang, Zhen Tian
Summary: This paper presents a modeling study of the physical properties of PVE lubricant oil and R32/PVE mixture. New calculation models and correlations were developed based on experimental data. The oil retention characteristics in compressor suction line were also analyzed. The new oil retention correlation exhibits satisfactory prediction accuracy.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Thermodynamics
Weijie Zeng, Bo Gu, Jinting Hu, Zhongxing Du, Zhen Tian
Summary: This study presents a modeling approach for predicting oil retention and critical refrigerant mass flux in compressor suction line. Three different methods were developed for predicting oil retention, and new correlations for interfacial friction factor and void fraction were established based on these models. Experimental data were used for validation, and the results showed satisfying prediction accuracy for oil retention. The flow-pattern based method exhibited the best results. Additionally, two models for predicting minimum refrigerant mass flux were recommended to ensure successful oil return.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Energy & Fuels
Feng Wang, Wenzhong Gao, Gen Li, Zhen Tian, Xiaozhong Wang
Summary: This work presents an experimental investigation of a small-scale cryogenic Organic Rankine Cycle (ORC) power generation plant. The results show that increasing pressure drop and heat source temperature can improve system performance to some extent, with pressure drop exhibiting sensitivity to heat source temperature. The expander gross output power reaches its peak value when the heat source and heat sink are best matched.
ENERGY SCIENCE & ENGINEERING
(2022)
Article
Thermodynamics
Zhen Tian, Wanlong Gan, Zhixin Qi, Molin Tian, Wenzhong Gao
Summary: Experimental studies were conducted on a 1 kW-scale organic Rankine cycle (ORC) system with R290 as the working medium for cryogenic cold energy recovery. The system operated under basic ORC (bORC) and recuperative ORC (rORC) working modes using a three-fluid wounded tube heat exchanger. Results showed that rORC had higher net power outputs, energy efficiency, and exergy efficiency compared to bORC when utilizing hot water and liquid nitrogen as heat and cold sources.
Article
Thermodynamics
Weijie Zeng, Zhiting Zhang, Jinting Hu, Bo Gu, Zhen Tian
Summary: This study investigated the oil retention characteristic and flow patterns of R32/PVE lubricant oil mixture in compressor suction lines. The results showed that the oil retention in the suction lines was greatly influenced by the refrigerant mass flux and oil mass fraction.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Thermodynamics
Bo Gu, Weijie Zeng, Zhen Tian, Yuxiong Sha, Pengzhan Wu
Summary: This study evaluates and analyzes the approaches for predicting the two-phase pressure drop of refrigerant-lubricant oil mixture in a compressor suction line. A consolidated database is developed using a total of 274 pressure drop data collected from measurements and published literature. Among the different models and correlations examined, the proposed improved correlation, which incorporates the surface tension effect, shows the best agreement with the database.
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT
(2022)
Article
Energy & Fuels
Weijie Zeng, Zhiting Zhang, Jinting Hu, Bo Gu, Zhen Tian
Summary: The aim of this study was to investigate the effect of oil on the transport, heat transfer, and distribution performance of a microchannel evaporator. The results showed that the addition of oil increased the oil retention volume ratio and suppressed heat transfer. However, at low oil mass fractions and high inlet qualities, heat transfer was enhanced. The oil had a slight effect on flow distribution, but distribution performance deteriorated with increasing mass flux.
Article
Thermodynamics
Zhen Tian, Zhixin Qi, Wanlong Gan, Molin Tian, Wenzhong Gao
Summary: In this paper, a novel negative carbon-emission, cooling, and power generation system is proposed by utilizing LNG cold energy and waste heat recovery. The integrated system shows the best performance when all subsystems are running simultaneously, generating significant power, cooling capacity, and CO2 capture.
Article
Thermodynamics
Zhen Tian, Wanlong Gan, Xianzhi Zou, Yuan Zhang, Wenzhong Gao
Summary: In this paper, a performance prediction model of the cryogenic ORC was presented based on the BPNN-GA, which was optimized by the genetic algorithm. The model was verified for accuracy through experimental validation and further parametric study.
Article
Thermodynamics
Zhen Tian, Kun Li, Yuan Zhang, Zhikang Huang, Shuming Xu, Wenzhong Gao
Summary: This paper numerically characterizes the microchannel flow boiling heat transfer and critical heat flux under static and rolling conditions. The results show that different flow patterns, including bubble flow, slug flow, stretch bubble flow, and annular flow, are observed under static conditions. However, under rolling conditions, bubbles are more difficult to agglomerate and coalesce due to the influence of additional forces. Rolling motion significantly deteriorates the critical heat flux and wall temperature. Moreover, the critical heat flux decreases with the increase of rolling period while increases with the increase of rolling amplitude. The purpose of this research is to understand the microchannel critical heat flux triggering mechanism under rolling conditions to aid in marine heat exchanger design.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2023)
Article
Thermodynamics
Zhen Tian, Shuming Xu, Yuan Zhang, Zhikang Huang, Chao Li, Wenzhong Gao
Summary: In this paper, the authors studied the thermohydraulic characteristics of direct liquid cooling in rectangular microchannels under swing condition. They investigated the effects of coolant flow rate, coolant inlet temperature, microchannel equivalent diameter, and heating power on the performance. They also discussed wall temperature uniformity and axial heat conduction effect. Furthermore, they evaluated the influence of swing speed on the performances of microchannel direct liquid cooling.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2023)
Article
Thermodynamics
Yuan Zhang, Shizhao Zhang, Hao Peng, Zhen Tian, Wenzhong Gao, Ke Yang
Summary: A one-dimensional model of the Tesla turbine was constructed to study the effects of different wet working fluids on the thermal performance of the turbine and ORC system. The results showed that the highest turbine efficiency was achieved with R22 as the working fluid, while the highest turbine output power and system thermal efficiency were achieved with R417a. It was also observed that the efficiency, output power, and thermal efficiency of the turbine increased monotonically with increasing rotor inlet radius.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Hai Zhao, Puzhen Gao, Xiaochang Li, Ruifeng Tian, Hongyang Wei, Sichao Tan
Summary: This study numerically investigates the interaction between flow-induced vibration and forced convection heat transfer in a tube bundle. The results show that the impact of flow-induced vibration on heat transfer varies in different flow velocity regions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rohit Chintala, Jon Winkler, Sugirdhalakshmi Ramaraj, Xin Jin
Summary: The current state of fault detection and diagnosis for residential air-conditioning systems is expensive and not suitable for widespread implementation. This paper proposes a cost-effective solution by introducing an automated fault detection algorithm as a screening step before more expensive tests can be conducted. The algorithm uses home thermostats and local weather information to identify thermodynamic parameters and detect high-impact air-conditioning faults.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
A. Azimi, N. Basiri, M. Eslami
Summary: This paper presents a novel optimization algorithm for improving the water-film cooling system of photovoltaic panels, resulting in a significant increase in net energy generation.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Duc-Thuan Phung, Chin-Hsiang Cheng
Summary: In this study, a novel CFDMD model is used to analyze and investigate the behavior of thermal-lag engines (TLE). The study shows that the CFDMD model effectively captures the thermodynamic behavior of the working gas and the dynamic behavior of the engine mechanism. Additionally, the study explores the temporal evolution of engine speed and the influence of various parameters on shaft power and brake thermal efficiency. The research also reveals the existence of a thermal-lag phenomenon in TLE.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Haiying Yang, Yinjie Shen, Lin Li, Yichen Pan, Ping Yang
Summary: The purpose of this article is to find a measure to improve the interfacial thermal transfer of graphene/silicon heterojunction. Through molecular dynamics simulation, it is found that surface modification can significantly reduce the thermal resistance, thereby improving the thermal conductivity of the graphene/silicon interface.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Qiong Wu, Yancheng Wang, Haonan Zhou, Xingye Qiu, Deqing Mei
Summary: This article introduces a visible methanol steam reforming microreactor, which uses an optical crystal as an observation window and measures the reaction temperature in real-time using infrared thermography. The results show that under lower oxygen to carbon ratio conditions, the microreactor has a higher heating rate and a stable gradient in temperature distribution.
APPLIED THERMAL ENGINEERING
(2024)
Review
Thermodynamics
Giulia Manco, Umberto Tesio, Elisa Guelpa, Vittorio Verda
Summary: In the past decade, there has been a growing interest in studying energy systems for the combined management of power vectors. Most of the published works focus on finding the optimal design and operations of Multi Energy Systems (MES). However, for newcomers to this field, understanding how to achieve the desired optimization details while controlling computational expenses can be challenging and time-consuming. This paper presents a novel approach to analyzing the existing literature on MES, with the aim of guiding practical development of MES optimization. Through the discussion of six case studies, the authors provide a mathematical formulation as a reference for building the model and emphasize the impact of different aspects on the problem nature and solver selection. In addition, the paper also discusses the different approaches used in the literature for incorporating thermal networks and storage in the optimization of multi-energy systems.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xuepeng Yuan, Caiman Yan, Yunxian Huang, Yong Tang, Shiwei Zhang, Gong Chen
Summary: In this study, a multi-scale microgroove wick (MSMGW) was developed by laser irradiation, which demonstrated superior capillary performance. The surface morphology and performance of the wick were affected by laser scan pitch, laser power, repetition frequency, and scanning speed. The MSMGW showed optimal capillary performance in alumina material and DI water as the working fluid.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Maofei Mei, Feng Hu, Chong Han
Summary: This paper proposes an effective local search method based on detection of droplet boundaries for understanding the dynamic process of droplet growth during dropwise condensation. The method is validated by comparing with experimental data. The present simulation provides an effective approach to more accurately predict the nucleation site density in future studies.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rahul Kumar Sharma, Ashish Kumar, Dibakar Rakshit
Summary: The study explores the use of phase change materials (PCM) as a retrofit with Heating Ventilation and Air-conditioning systems (HVAC) to reduce energy consumption and improve air quality. By incorporating PCM with specific thickness and fin configurations, significant energy savings can be achieved in comparison to standard HVAC systems utilizing R134a. This research provides policymakers with energy-efficient and sustainable solutions for HVAC systems to combat climate change.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Zhenhua Ren, Xiangjin Meng, Xingang Qi, Hui Jin, Yunan Chen, Bin Chen, Liejin Guo
Summary: This paper investigates the heat transfer mechanism and factors influencing thermal radiation in the process of supercritical water gasification (SCWG) of coal, and proposes a comprehensive numerical model to simulate the process. Experimental validation results show that thermal radiation accounts for a significant proportion of the total heat exchange in the reactor and a large amount of radiant energy exists in the important spectral range of supercritical water. Enhancing radiative heat transfer can effectively increase the temperature of the reaction medium and the gasification rate.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Mauro Abela, Mauro Mameli, Sauro Filippeschi, Brent S. Taft
Summary: Pulsating Heat Pipes (PHP) are passive two-phase heat transfer devices with a simple structure and high heat transfer capabilities. The actual unpredictability of their dynamic behavior during startup and thermal crisis hinders their large-scale application. An experimental apparatus is designed to investigate these phenomena systematically. The results show that increasing the number of evaporator sections and condenser temperature improves the performance of PHP. The condenser temperature also affects the initial liquid phase distribution and startup time.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Ke Gan, Ruilian Li, Yi Zheng, Hui Xu, Ying Gao, Jiajie Qian, Ziming Wei, Bin Kong, Hong Zhang
Summary: A 3-dimensional enhanced heat pipe radiator has been developed to improve heat dissipation and temperature uniformity in cooling high-power electronic components. Experimental results show that the radiator has superior heat transfer performance compared to a conventional aluminum fin radiator under different heating powers and wind speed conditions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xinyi Zhang, Shuzhong Wang, Daihui Jiang, Zhiqiang Wu
Summary: This study focuses on recovering waste heat from blast furnace slag using dry centrifugal pelletizing technology. A comprehensive two-dimensional model was developed to analyze heat transfer dynamics and investigate factors influencing heat exchange efficiency. The findings have important implications for optimizing waste heat recovery and ensuring safe operations.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xincheng Wu, An Zou, Qiang Zhang, Zhaoguang Wang
Summary: The boosting heat generation rate of high-performance processors is challenging traditional cooling techniques. This study proposes a combined design of active jet intermittency and passive surface modification to enhance heat transfer.
APPLIED THERMAL ENGINEERING
(2024)
