Autor: Zeng, Chen - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Microstructure Evolution of Tungsten-Based ODS Alloys Reinforced with the γ(Ni, Fe) Phase by a Secondary Ball Milling Method
Autorzy:: Chen, C.
Zeng, Y.
Lee, J.
Tematy:: 81.20.Ev
81.20.Wk
81.07.Bc
81.05.Ni; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Powiązania:: https://bibliotekanauki.pl/articles/1375180.pdf Link otwiera się w nowym oknie
Opis:: In the current study, $W-5Ni-2Fe-Y_2O_3$ model alloys were produced using a high-energy planetary ball mill. The presence of the γ(Ni, Fe) phase is favored with respect to material properties in this alloy. Therefore, a secondary ball milling method was introduced to obtain a fine and uniformly distributed γ(Ni, Fe) phase. Phase development of mechanical alloyed powders was investigated by X-ray diffraction. The results show that the formation of the γ(Ni, Fe) phase was found after 18 h of a pre-milling procedure. A further secondary milling method produced a uniform microstructure with grain refinement. TEM results also show changes in the lattice parameters of the tungsten and γ(Ni, Fe) phase associated with the solid solubility limits in the alloy produced by secondary ball milling.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Comparison of linear and circular polarization in foggy environments at UV-NIR wavelengths
Autorzy:: Zeng, Xiangwei
Li, Yahong
Chen, Xueye
Zheng, Hongxia
Tematy:: polarisation
atmospheric scattering
forward scattering; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/2202772.pdf Link otwiera się w nowym oknie
Opis:: This paper investigates the polarization persistence of linear polarization and circular polarization in foggy environments from ultraviolet (UV) to near-infrared (NIR). Using polarization tracking Monte Carlo simulation for varying particle size, wavelength, refractive index, and detection distance, it is shown that linear polarization and circular polarization exhibit different persistence performance. For wet haze of 0.6 μm mean diameter particles, right-handed circular polarization shows better persistence than parallel polarization at wavelengths of 0.36, 0.543 and 1.0 μm. But parallel polarization shows better persistence at wavelengths of 1.55, 2.1 and 2.4 μm. For wet haze of 1.0 μm mean diameter particles, right-handed circular polarization shows better persistence at wavelengths of 0.36, 0.543, 1.0 and 1.55 μm. But parallel polarization shows better persistence at wavelengths of 2.1 and 2.4 μm. For wet haze of 2.0 μm particles and radiation fog and advection fog, right-handed circular polarization shows better persistence at all simulated wavelengths. In short, right-handed circular polarization persists better than parallel polarization in most scenarios, however, with increasing wavelength and decreasing particle size, parallel polarization gradually persists better than right-handed circular polarization. Finally, anisotropy factor for various particle models is used to map the propagation law of right-handed circular polarization and parallel polarization.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Transmission characteristics of linearly polarized light in altostratus help explain “UV-sky-pol” paradox
Autorzy:: Zeng, Xiangwei
Zhang, Yan
Chen, Xueye
Sun, Xindong
Tematy:: polarization
atmospheric scattering
altostratus
UV-sky-pol paradox; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/58970386.pdf Link otwiera się w nowym oknie
Opis:: The perception of skylight polarization in the ultraviolet (UV) by some species is surprising, because the degree of polarization (DoP) of light from the clear sky is considerably lower in the UV than in the visible spectral range. This is the so-called “ultraviolet paradox of the perception of skylight polarization (UV-sky-pol paradox)”. To explain the “UV-sky-pol” paradox, we analyzed the polarization retention characteristics of parallel polarized light transmits in altostratus at multiple wavelengths. According to the polarization sensitive bands of flies, honeybee, scarab beetles and spider, the study wavelength was set at 350 nm, and the wavelength of control group was set at 400, 450, 500, 550 and 600 nm, respectively. Then, we used the polarized light Monte Carlo method to simulate the forward transmission of 100000 parallel polarization photons in altostratus. Calculation results show that the polarization retention characteristics are excellent at the 350 nm wavelength. Finally, we analyzed the transmission characteristics of parallel polarized light passes through a droplet at 0°–15° forward scattering angle. The analysis results show that there have been significant polarization retention channels in the UV band around 350 nm. This study can help to elucidate the “UV-sky-pol” paradox.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Temperature and Humidity Data Evaluation of Tight Sportswear During Motion Based on Intelligent Modeling
Autorzy:: Cheng, Pengpeng
Wang, Jianping
Zeng, Xianyi
Bruniaux, Pascal
Chen, Daoling
Tematy:: motion state
tight sportswear
temperature
humidity
prediction model; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Powiązania:: https://bibliotekanauki.pl/articles/24200969.pdf Link otwiera się w nowym oknie
Opis:: A neural network structure of Long Short Term Memory (LSTM) is proposed which could be used to predict the temperaturę and humidity of other key parts from the temperature and humidity data of some parts of the human body when wearing tight sportswear, so as to realize the temperature and humidity data prediction of all key points of the human body. The temperaturę and humidity of different people wearing tights were collected by DHT sensors. The experimental results show that the LSTM neural network structure proposed has higher prediction accuracy than other algorithms, and the model evaluates the feasibility of temperature and humidity data of tights in a state of motion, which facilitates the study of dynamic thermal and humid comfort and reduces the time cost of analyzing the temperature and humidity distribution and changing the law during human movement. It will effectively promote the study of temperature and humidity changes when people wear sports tights, provide theoretical reference for the study of human skin temperature in the field of sports medicine, and provide practical guidance for the application of human skin temperature changes in sports clothing production, diagnosis and prevention of sports injuries.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Optimization of Al-Cu Cast Alloy Composition for Hydraulic Valves
Autorzy:: Li, Rong
Chen, Lunjun
Zeng, Qi
Su, Ming
Xie, Zhiping
Tematy:: Al-Cu alloy
optimization
strengthening mechanisms
hydraulic multi-way valve
stop Al-Cu
optymalizacja
mechanizm wzmacniający
zawór hydrauliczny; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/381745.pdf Link otwiera się w nowym oknie
Opis:: In order to identify the influence of different Mn, Cd, V and Zr content on the properties of Al-Cu casting alloys in hydraulic valves, orthogonal test methods were used to prepare alloy test bars with different elements and contents. Tensile tests were performed on the test bars so obtained. The microstructure of alloys with different compositions is studied. The results show that adding approximately 0.4% of Mn can not only form a strengthening phase but also reduce the excessive segregation of the matrix along the grain boundary. A Cd content of 0.2% can promote the formation of micro Cd spheres in the softer aluminum matrix. Hard spots increase the wear resistance of the material; however, an excess of Cd will cause element segregation and deteriorate the mechanical properties of the valve body. Zr and V refine the grains in the alloy; however, an excess of these elements will lead to a large area of segregation. If proper heat treatment is lacking, the mechanical properties of the valve body deteriorate.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Intelligent Prediction Model of the Thermal and Moisture Comfort of the Skin-Tight Garment
Autorzy:: Cheng, Pengpeng
Wang, Jianping
Zeng, Xianyi
Bruniaux, Pascal
Chen, Daoling
Tematy:: sportswear tights
thermal comfort
moisture comfort
principal component analysis
intelligent prediction model; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Powiązania:: https://bibliotekanauki.pl/articles/2056304.pdf Link otwiera się w nowym oknie
Opis:: In order to improve the efficiency and accuracy of predicting the thermal and moisture comfort of skin-tight clothing (also called skin-tight underwear), principal component analysis (PCA) is used to reduce the dimensions of related variables and eliminate the multicollinearity relationship among variables. Then, the optimized variables are used as the input parameters of the coupled intelligent model of the genetic algorithm (GA) and back propagation (BP) neural network, and the thermal and moisture comfort of different tights (tight tops and tight trousers) under different sports conditions is analysed. At the same time, in order to verify the superiority of the genetic algorithm and BP neural network intelligent model, the prediction results of GA-BP, PCA-BP and BP are compared with this model. The results show that principal component analysis (PCA) improves the accuracy and adaptability of the GA-BP neural network in predicting thermal and humidity comfort. The forecasting effect of the PCA-GA-BP neural network is obviously better than that of the GA-BP, PCA-BP, BP model, which can accurately predict the thermal and moisture comfort of tight-fitting sportswear. The model has better forecasting accuracy and a simpler structure.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Intelligent Prediction Model of the Thermal and Moisture Comfort of the Skin-Tight Garment
Autorzy:: Chen, Daoling
Zeng, Xianyi
Wang, Jianping
Bruniaux, Pascal
Cheng, Pengpeng
Wydawca:: Łukasiewicz - Łódzki Instytut Technologiczny
Cytata wydawnicza:: Cheng P, Wang J, Zeng X, Bruniaux P, Chen D. Intelligent Prediction Model of the Thermal and Moisture Comfort of the Skin-Tight Garment. FIBRES & TEXTILES in Eastern Europe 2022; 30, 1(151): 50-58. DOI: 10.5604/01.3001.0015.6461
Opis:: This paper was financially supported by the China Scholarship Council.
In order to improve the efficiency and accuracy of predicting the thermal and moisture comfort of skin-tight clothing (also called skin-tight underwear), principal component analysis(PCA) is used to reduce the dimensions of related variables and eliminate the multicollinearity relationship among variables. Then, the optimized variables are used as the input parameters of the coupled intelligent model of the genetic algorithm (GA) and back propagation (BP) neural network, and the thermal and moisture comfort of different tights (tight tops and tight trousers) under different sports conditions is analysed. At the same time, in order to verify the superiority of the genetic algorithm and BP neural network intelligent model, the prediction results of GA-BP, PCA-BP and BP are compared with this model. The results show that principal component analysis (PCA) improves the accuracy and adaptability of the GA-BP neural network in predicting thermal and humidity comfort. The forecasting effect of the PCA-GA-BP neural network is obviously better than that of the GA-BP, PCA-BP, BP model, which can accurately predict the thermal and moisture comfort of tight-fitting sportswear. The model has better forecasting accuracy and a simpler structure.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 8.

Tytuł:: Temperature and Humidity Data Evaluation of Tight Sportswear During Motion Based on Intelligent Modeling
Autorzy:: Chen, Daoling
Cheng ,Pengpeng
Zeng, Xianyi
Wang, Jianping
Bruniaux, Pascal
Wydawca:: Sciendo
Cytata wydawnicza:: Cheng P, Wang J, Zeng X, Bruniaux P, Chen D. Temperature and Humidity Data Evaluation of Tight Sportswear during Motion Based on Intelligent Modeling. Fibres & Textiles in Eastern Europe. Sciendo, 2023;31}(3): 1-8. https://doi.org/10.2478/ftee-2023-0021
Opis:: The authors would like to acknowledge the financial support from the International Cooperation Fund of Science and Technology Commission of Shanghai Municipality(Grant NO. 21130750100) and Fujian Province Social Science Planning Project(FJ2020C049)
A neural network structure of Long Short Term Memory (LSTM) is proposed which could be used to predict the temperature and humidity of other key parts from the temperature and humidity data of some parts of the human body when wearing tight sportswear, so as to realize the temperature and humidity data prediction of all key points of the human body. The temperature and humidity of different people wearing tights were collected by DHT sensors. The experimental results show that the LSTM neural network structure proposed has higher prediction accuracy than other algorithms, and the model evaluates the feasibility of temperature and humidity data of tights in a state of motion, which facilitates the study of dynamic thermal and humid comfort and reduces the time cost of analyzing the temperature and humidity distribution and changing the law during human movement. It will effectively promote the study of temperature and humidity changes when people wear sports tights, provide theoretical reference for the study of human skin temperature in the field of sports medicine, and provide practical guidance for the application of human skin temperature changes in sports clothing production, diagnosis and prevention of sports injuries.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 9.

Tytuł:: Effect of mechanical activation on carbothermic reduction and nitridation of titanomagnetite concentrates
Autorzy:: Wen, Xiaojin
Yu, Wen
Zeng, Danliang
Zhu, Liang Liang
Chen, Jiangan
Tematy:: titanomagnetite concentrates
carbothermic reduction
mechanical activation
titanium nitride; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/1446680.pdf Link otwiera się w nowym oknie
Opis:: The carbothermic reduction and nitridation process of titanomagnetite concentrates with the help of mechanical activation were investigated by particle size analysis, thermodynamic calculation, thermogravimetric analysis, X-ray diffraction analysis, scanning electron microscopy, and energy-dispersive spectroscopy analysis. The thermogravimetric and X-ray diffraction results indicated that either the reduction of iron oxide or the reduction and nitridation of M3O5 to TiN could be promoted significantly with the increase in activation time. The results obtained from scanning electron microscopy and energy-dispersive spectroscopy showed that, when samples were not activated, chunks of and thin M3O5 were derived from the reduction of ilmenite and titanomagnetite. They were severely sintered with impurities to form a dense structure. As a result, M3O5 was difficult to be converted to TiN, especially chunks of M3O5. However, when samples were activated, the sintering degrees of the impurity and M3O5 were mitigated, and the particle size of the iron as a medium for delivering C to M3O5 was decreased in the roasted product. This condition enhanced the diffusion of C to the surface of M3O5. Meanwhile, the bulk of ilmenite was broken in the activation process, which prevented the formation of chunks of M3O5. Thus, the conversion of M3O5 to TiN was promoted.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Classification techniques and parameter optimization of Cyclone Continuous Centrifugal Separator for hematite ore
Autorzy:: Zhang, Pei
Xie, Haiyun
Jin, Yanling
Chen, Jialing
Zeng, Peng
Li, Yuanhong
Chen, Luzheng
Liu, Dianwen
Tematy:: hematite
Cyclonic Continuous Centrifugal Separator
CCCS
classification
Response Surface Methodology; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/2200335.pdf Link otwiera się w nowym oknie
Opis:: The Cyclonic Continuous Centrifugal Separator (CCCS) is a new type of separation equipment developed based on cyclonic continuous centrifugal separation technology and combined with the separation principle of the fluidized bed. Taking hematite as the research object, the main parameters and conditions of the best hematite classification were determined through the classification test by using CCCS. Based on the classification test, the significance order of each process parameter and their interaction with hematite classification efficiency of the underflow products was analyzed with the Response Surface Methodology, the optimal process parameter of hematite classification was obtained and a multiple regression equation was established. The optimized process conditions were as follows, feeding pressure 55.48 kPa, backwash pressure 9.79 kPa, and underflow pressure 31.94 kPa. Under these conditions, the average hematite ore classification efficiency of coarse fraction (-2~+0.15mm), medium fraction (-0.15~+0.074mm) and fine fraction (-0.074mm) were 85.08%, 65.10% and 51.41%, respectively, and the relative errors with the predicted values were 1.6%, 4.0% and 2.5%, respectively. The results showed that the analytical model has good predictive performance. This research provides a certain prospect for the application of Cyclonic Continuous Centrifugal Separation to hematite ore classification. it provides a reference for the application of the Response Surface Methodology in the classification of hematite by Cyclonic Continuous Centrifugal Separation.
Dostawca treści:: Biblioteka Nauki

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