Results 11 to 20 of about 1,076 (257)

Effect of refrigerant charge variation on the energy and thermal performance of a domestic refrigera

Journal of Thermal Engineering
Inadequate refrigerant charges can affect the vapor compression refrigeration systems’ thermal and energy performance. To delve deeper into the subject, this study experimentally evaluated the performance of a domestic refrigerator operating at different
Diana PARDO-CELY
doaj   +2 more sources

LOW CHARGE TRANSPORT REFRIGERATOR (I). REFRIGERANT CHARGE AND STRATEGIES OF CHARGE REDUCTION

Mechanika, 2012
This paper presents a review of refrigerant charge studies in a refrigerating system – sensitivity of system performance to charge levels, relationship of charge with superheat and subcooling, methodologies of charge measurement and calculation, existing charge reduction strategies and their applicability to transport refrigerating systems. For the low
Vaitkus, L., Kauno technologijos universitetas, Lietuvos mokslų akademija, Vilniaus Gedimino technikos universitetas   +3 more
openaire   +1 more source

Numerical model to optimize the refrigerant charge for maximum refrigeration capacity

Thermal Science, 2013
Refrigeration systems require optimal amount of refrigerant for maximum system performance. Undercharged or overcharged systems experience reduced efficiency and accessories deterioration. Optimal amount of refrigerant to be charged in a refrigeration system depends on the physical and thermal dynamic properties of the evaporator and the ...
Patrick Wainaina, Musa Njue, Wilson Ogola   +2 more
openaire   +1 more source

The Effect of Refrigerant Charge on the Performance of a Split-Unit Type Air Conditioner Using R22 Refrigerant

MATEC Web of Conferences, 2018
Numerous air conditioners are running without a proper refrigerant charge due to leakage and improper charging during installation. Therefore, there is a need to understand the performance of the air conditioner if it is not properly charged for the ...
Yusof Mohd Hazwan, Muslim Sulaiman Mohd, Suhaimi Muhammad Fadhli, Ibrahim Hassan, Aziz Azizuddin Abdul, Basrawi Mohamad Firdaus   +5 more
doaj   +1 more source

Experimental Investigation on Intermittent Operation Characteristics of Dual-Temperature Refrigeration System Using Hydrocarbon Mixture

Energies, 2022
An experimental rig of a zeotropic mixture separation condensation-based dual-temperature refrigeration cycle is built and the mixture R290/R600a is used as the refrigerant.
Qi Chen, Yinsong Li
doaj   +1 more source

Amphoteric Cu‐Doping Leading to High Thermoelectric Performance in p‐Type Bismuth Antimony Telluride

Advanced Functional Materials, EarlyView.
This study shows that Cu plays two opposite roles in p‐type Bi0.5Sb1.5Te3 depending on the processing route. Under thermodynamic‐equilibrium bulk‐synthesis, Cu mainly occupies cation sites, increases hole concentration, preserves mobility, and slightly reduces lattice heat transport. The best‐performing composition among the investigated series reaches
Moritz Thiem, Zhiyuan Li, Minsu Heo, Fangyi Hu, Tian Lan, Youngdeog Koh, Ruiwen Xie, Chuanmu Tian, Marc Widenmeyer, Hyun‐Sik Kim, Jan P. Hofmann, Yuan Yu, Hongbin Zhang, Anke Weidenkaff, G. Jeffrey Snyder, Wenjie Xie   +15 more
wiley   +1 more source

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

Advanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng, Peng Zhang, Gang Qiu, Ting‐Hsun Yang, Chang Niu, Yaochen Li, Wenqiang Cui, Yang Feng, Peide D. Ye, Ke He, Kai Chang, Kang L. Wang   +11 more
wiley   +1 more source

Diagnosis Model for Refrigerant Charge Fault under Heating Conditions based on Multi-layer Convolution Neural Network

Zhileng xuebao, 2020
This paper presents a fault diagnosis model based on a convolution neural network. The kernel size and number of neurons of a3-layerconvolutionnetwork were optimized by an orthogonal experiment method.
Cheng Hengda, Chen Huanxin, Li Zhengfei, Cheng Xiangdong   +3 more
doaj  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Chloride Ions: Essential Agents for Achieving Spontaneous Delamination of MXene

Advanced Materials, EarlyView.
This work first identifies chloride ions as essential agents for spontaneous MXene delamination. Without Cl−, etched Ti3C2Tx remains multilayered; with Cl−, interlayer modification enables Li+ intercalation and osmotic swelling. The SPEED process couples HF‐assisted Al extraction, Cl−‐mediated interlayer expansion, and Li+‐driven swelling to produce ...
Sukhyeun Jang, Yong‐Jae Kim, Incheol Jeong, Minju Kim, Jaewoong Lee, Jihan Kim, Ki‐Min Roh, Kang Taek Lee, Seon Joon Kim, Yonghee Lee, Chi Won Ahn, Hee‐Tae Jung   +11 more
wiley   +1 more source