Design Of Storage Fields With Minimum Temperature And Pressure Control At The Surface

1979 ◽  
Author(s):  
M. Rasin Tek ◽  
Jack R. Elenbaas ◽  
Michael Whims ◽  
Joseph L. Roberts
Keyword(s):  
Minimum Temperature ◽  
Pressure Control ◽  
Temperature And Pressure

Temperature and Pressure Control of the KEK 1-m Hydrogen Bubble Chamber

1979 ◽  
Vol 18 (7) ◽  
pp. 1341-1351
Author(s):  
Nobuhiro Ishihara ◽  
Osamu Araoka ◽  
Yoshikuni Doi ◽  
Takashi Kohriki ◽  
Kiyosumi Tsuchiya ◽  
...  
Keyword(s):  
Bubble Chamber ◽  
Pressure Control ◽  
Hydrogen Bubble ◽  
Hydrogen Bubble Chamber ◽  
Temperature And Pressure

scholarly journals Control of air flow temperature and pressure in the pipelines with PID

2020 ◽  
Vol 11 (2) ◽  
pp. 167-173
Author(s):  
Yıldırım Şahin ◽  
Abdullah Göçer
Keyword(s):  
Pid Control ◽  
Model Simulation ◽  
Experimental System ◽  
Pressure Control ◽  
P Element ◽  
Control Element ◽  
Control Parameters ◽  
Manual Adjustment ◽  
System Temperature ◽  
Temperature And Pressure

AbstractToday, the use of proportional-integral-derivative (PID) control units continues in many control applications due to their simple structure. In areas such as pressure, temperature, flow control, PID control element is used and many new methods are applied in adjusting control parameters. In this study, the LTR 701 Controlled Airflow and Temperature Experimental System was used to study the temperature and pressure control at different flow rates in the pipelines. In this control system, temperature was controlled with PID control element, pressure was controlled with PI control element, and reaction of control parameters at different temperatures and pressures were investigated. Also, temperature was controlled as cascade with PI element in elementary controller and P element in secondary controller. The manual adjustment method has been applied to adjust the control parameters. In addition, the experimental system is modelled in MATLAB-SIMULINK. On this model, simulation results showed that it is matching the experimental results.

An Integral Type µ Synthesis Method for Temperature and Pressure Control of Flight Environment Simulation Volume

2017 ◽  
Author(s):  
Meiyin Zhu ◽  
Xi Wang
Keyword(s):  
Pid Controller ◽  
Tracking Error ◽  
Pressure Control ◽  
Engine Test ◽  
Integral Type ◽  
Augmented System ◽  
Environment Simulation ◽  
Simulation Results ◽  
Temperature And Pressure ◽  
Simulation Volume

Flight Environment Simulation Volume (FESV) is the most important part of Altitude Ground Test Facilities (AGTF). It’s temperature and pressure control precision determines the level of test ability of AGTF. Therefore, in order to study the temperature and pressure control problem of FESV and improve the modeling precision of FESV, the energy equation and gas state equation are used to deduce the temperature and pressure differential equations of FESV. Meanwhile, the heat transfer influence of FESV has been taken into account in this paper and the transient heat conduction of FESV is established by using a discretizing method. The temperature and pressure differential equations of FESV are linearized around a balance point and the uncertainty of actuators has been considered in multiplicative uncertainty. The augmented system of linear model of FESV and the actuators are obtained. For the sake of making the controller design and weighting function choice more easily, a normalization method is used to normalize the augmented system. For the purpose of achieving the temperature and pressure synchronic control of FESV, a two-degree-of-freedom integral type μ synthesis control design method is proposed. What’s more, for guaranteeing the designed μ synthesis controller has servo tracking and disturbance attenuation performance, the performance weighting functions are designed according to the frequency division weighting principle and the control weighting functions are designed by using the principle of low frequency free limit, medium frequency gradually increase the limit, and high frequency maximum limit. The MATLAB Robust Control Toolbox function dksyn is used to design the μ controller. In order to verify the effectiveness of designed μ controller, we assume two types of engine test conditions. The simulation results show, for the engine test condition one, the biggest relative tracking error of temperature is less than 0.5% and the relative steady state error of pressure is less than 0.1% and the relative tracking error of pressure slope signal is less than 3%. For the engine test condition two, the relative steady state error of temperature is less than 0.1% and the relative tracking error of temperature slope signal is less than 1%. To verify the advantage of designed μ controller, we designed a PID controller and compared the simulation results with μ controller. The comparison results showed that the designed μ controller provided better performance than the PID controller.

scholarly journals Morphology and Structure Controls of Single-Atom Fe–N–C Catalysts Synthesized Using FePc Powders as the Precursor

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 109
Author(s):  
Ning Yan ◽  
Fan Liu ◽  
Xu Meng ◽  
Meng Qin ◽  
Guangqi Zhu ◽  
...  
Keyword(s):  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Pressure Control ◽  
Reduction Reaction ◽  
Single Atom ◽  
Root Cause ◽  
Organic Vapor ◽  
Current Densities ◽  
Temperature And Pressure ◽  
The Difference

Understanding the origin of the high electrocatalytic activity of Fe–N–C electrocatalysts for oxygen reduction reaction is critical but still challenging for developing efficient sustainable nonprecious metal catalysts used in fuel cells. Although there are plenty of papers concerning the morphology on the surface Fe–N–C catalysts, there is very little work discussing how temperature and pressure control the growth of nanoparticles. In our lab, a unique organic vapor deposition technology was developed to investigate the effect of the temperature and pressure on catalysts. The results indicated that synthesized catalysts exhibited three kinds of morphology—nanorods, nanofibers, and nanogranules—corresponding to different synthesis processes. The growth of the crystal is the root cause of the difference in the surface morphology of the catalyst, which can reasonably explain the effect of the temperature and pressure. The oxygen reduction reaction current densities of the different catalysts at potential 0.88 V increased in the following order: FePc (1.04 mA/cm2) < Pt/C catalyst (1.54 mA/cm2) ≈ Fe–N–C-f catalyst (1.64 mA/cm2) < Fe–N–C-g catalyst (2.12 mA/cm2) < Fe–N–C-r catalyst (2.35 mA/cm2). By changing the morphology of the catalyst surface, this study proved that the higher performance of the catalysts can be obtained.

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