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Wyszukujesz frazę "Ming, Su" wg kryterium: Autor


Wyświetlanie 1-4 z 4
Tytuł:
Study on Friction and Wear Characteristics of Aluminum Alloy Hydraulic Valve Body and Its Antiwear Mechanism
Autorzy:
Rong, L.
Lunjun, Ch.
Ming, Su
Qi, Z.
Yong, Liu
Powiązania:
https://bibliotekanauki.pl/articles/382468.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
aluminum alloy
hydraulic valve body
oil leakage
friction and wear
stop aluminium
korpus zaworu hydraulicznego
wycieki oleju
tarcie i zużycie
Opis:
In order for the working status of the aluminum alloyed hydraulic valve body to be controlled in actual conditions, a new friction and wear design device was designed for the cast iron and aluminum alloyed valve bodies comparison under the same conditions. The results displayed that: (1) The oil leakage of the aluminum alloyed hydraulic valve body was higher than the corresponding oil leakage of the iron body during the initial running stage. Besides during a later running stage, the oil leakage of the aluminum alloyed body was lower than corresponding oil leakage of the iron body; (2) The actual oil leakage of different materials consisted of two parts: the foundation leakage that was the leakage of the valve without wear and wear leakage that was caused by the worn valve body; (3) The aluminum alloyed valve could rely on the dust filling furrow and melting mechanism that led the body surface to retain dynamic balance, resulting in the valve leakage preservation at a low level. The aluminum alloy modified valve body can meet the requirements of hydraulic leakage under pressure, possibly constituting this alloy suitable for hydraulic valve body manufacturing.
Źródło:
Archives of Foundry Engineering; 2017, 17, 1; 207-215
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation and Analysis of Sintering Furnace Temperature Based on Fuzzy Neural Network Control
Autorzy:
Chaoxin, Zou
Rong, Li
Zhiping, Xie
Ming, Su
Jingshi, Zeng
Xu, Ji
Xiaoli, Ye
Ye, Wang
Powiązania:
https://bibliotekanauki.pl/articles/1837792.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fuzzy neural network
furnace
sintering
temperature control
PID
sieć neuronowa rozmyta
piec
spiekanie
kontrola temperatury
Opis:
Aiming at the problems of delay and couple in the sintering temperature control system of lithium batteries, a fuzzy neural network controller that can solve complex nonlinear temperature control is designed in this paper. The influence of heating voltage, air inlet speed and air inlet volume on the control of temperature of lithium battery sintering is analyzed, and a fuzzy control system by using MATLAB toolbox is established. And on this basis, a fuzzy neural network controller is designed, and then a PID control system and a fuzzy neural network control system are established through SIMULINK. The simulation shows that the response time of the fuzzy neural network control system compared with the PID control system is shortened by 24s, the system stability adjustment time is shortened by 160s, and the maximum overshoot is reduced by 6.1%. The research results show that the fuzzy neural network control system can not only realize the adjustment of lithium battery sintering temperature control faster, but also has strong adaptability, fault tolerance and anti-interference ability.
Źródło:
Archives of Foundry Engineering; 2021, 21, 1; 23-30
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation and Analysis of Sintering Furnace Temperature Based on Fuzzy Neural Network Control
Autorzy:
Chaoxin, Zou
Rong, Li
Zhiping, Xie
Ming, Su
Jingshi, Zeng
Xu, Ji
Xiaoli, Ye
Ye, Wang
Powiązania:
https://bibliotekanauki.pl/articles/1837849.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fuzzy neural network
furnace
sintering
temperature control
PID
sieć neuronowa rozmyta
piec
spiekanie
kontrola temperatury
Opis:
Aiming at the problems of delay and couple in the sintering temperature control system of lithium batteries, a fuzzy neural network controller that can solve complex nonlinear temperature control is designed in this paper. The influence of heating voltage, air inlet speed and air inlet volume on the control of temperature of lithium battery sintering is analyzed, and a fuzzy control system by using MATLAB toolbox is established. And on this basis, a fuzzy neural network controller is designed, and then a PID control system and a fuzzy neural network control system are established through SIMULINK. The simulation shows that the response time of the fuzzy neural network control system compared with the PID control system is shortened by 24s, the system stability adjustment time is shortened by 160s, and the maximum overshoot is reduced by 6.1%. The research results show that the fuzzy neural network control system can not only realize the adjustment of lithium battery sintering temperature control faster, but also has strong adaptability, fault tolerance and anti-interference ability.
Źródło:
Archives of Foundry Engineering; 2021, 21, 1; 23-30
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of Al-Cu Cast Alloy Composition for Hydraulic Valves
Autorzy:
Li, Rong
Chen, Lunjun
Zeng, Qi
Su, Ming
Xie, Zhiping
Powiązania:
https://bibliotekanauki.pl/articles/381745.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Al-Cu alloy
optimization
strengthening mechanisms
hydraulic multi-way valve
stop Al-Cu
optymalizacja
mechanizm wzmacniający
zawór hydrauliczny
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.
Źródło:
Archives of Foundry Engineering; 2020, 20, 1; 84-94
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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