Mathematical Model of Refueling Emission for Gasoline Vehicles and Influencing Factors Analysis

2014 ◽  
Vol 1070-1072 ◽  
pp. 1917-1924
Author(s):  
Jun He ◽  
Ren He
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Emission Rate ◽  
Fuel Tank ◽  
Time Varying ◽  
Average Temperature ◽  
Factors Analysis ◽  
Gasoline Vehicles ◽  
Reid Vapor Pressure ◽  
Simulation Results

In order to analyze the emission performance during the process of refueling, the mathematical models of refueling emission for vehicle under the proper simplified conditions were established based on the principle of time-varying and mass transfer in this paper. The models were applied to calculate the refueling emission rate of the fuel tank with and without a charcoal canister respectively, and simulation results of the model were analyzed numerically. Conclusions can be obtained as follows: the refueling emission rate of the fuel tank is 1.1201g / L without a charcoal canister; and 1.0815g / L with one, which is 3 - 4% less than the former on average. In addition, the refueling emission rate is positive related to the average temperature of the fuel tank, fuel average temperature and fuel Reid vapor pressure (RVP).

Traffic Fuzzy Controller's Improvement Based on Self-Adaptive Optimal Algorithm

2012 ◽  
Vol 562-564 ◽  
pp. 1414-1417
Author(s):  
Zhi Yi Xu ◽  
Da Lu Guan ◽  
Ai Long Fan
Keyword(s):  
Mathematical Model ◽  
Large Scale ◽  
Fuzzy Controller ◽  
Optimal Algorithm ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Time Varying ◽  
Large Scale Systems ◽  
Simulation Results ◽  
Self Adaptive

The transport system is a nonlinear, time-varying, lagging large-scale systems. Fuzzy control does not need to build a precise mathematical model, can be easily integrated people's thinking and experience, and is suitable for applications in the traffic signal control system. Here,a self-adaptive optimal algorithm was used to improve the traditional fuzzy controller. Simulation results show that the improved system has higher availability.

Numerical Analysis of Heat and Mass Transfer Performance of the Packed-Type Parallel Flow Dehumidifier

2014 ◽  
Vol 989-994 ◽  
pp. 3100-3104
Author(s):  
Rui Hang Zhang ◽  
Zi Ye Wang ◽  
Run Ping Niu
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Heat And Mass Transfer ◽  
Parallel Flow ◽  
Transfer Performance ◽  
Transfer Coefficients ◽  
Simulation Results ◽  
Set Up ◽  
The Impact ◽  
The Mathematical Model

TA mathematical model describing heat and mass transfer performance of packed-type parallel flow dehumidifier was set up. The numerical solution of differential equations was derived. Taking the heat and mass transfer coefficients obtained by experiments as the input parameters of the model, the impact of solution inlet parameters on outlet parameter of air was described. The simulation results indicated that the mathematical model could be used to predict the performance of liquid dehumidification. The results showed that the mathematical model can be of great value in the design and improvement of dehumidifier.

Modeling and Numerical Simulation of Dehumidifier Using LiCl Solution as the Liquid Desiccant

2011 ◽  
Vol 383-390 ◽  
pp. 6568-6573 ◽  
Author(s):  
Run Ping Niu
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Heat And Mass Transfer ◽  
Parameter Distribution ◽  
Liquid Desiccant ◽  
Transfer Coefficients ◽  
Data Simulation ◽  
Simulation Results ◽  
Set Up ◽  
The Mathematical Model

The performance of air dehumidifier using LiCl solution as the Liquid desiccant was studied with numerical methods. A mathematical model describing heat and mass transfer performance of air dehumidifierwas set up. The numerical solution of differential equations were derived. Taking the heat and mass transfer coefficients obtained by experiments as the input parameters of the model，the parameter distribution of air and solution was described. The simulation results corresponds very well to experimental data. Simulation results indicated that the mathematical model could be used to predict the performance of air dehumidifier. The results showed that the mathematical model can be of great value in the design and improvement of air dehumidifier.

Simulation of Removal of MTBE in Groundwater by Biosparging

2014 ◽  
Vol 556-562 ◽  
pp. 4085-4088 ◽  
Author(s):  
Yan Mei Zheng ◽  
Dong Xia ◽  
Yuan Peng Wang ◽  
Dao Hua Sun
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Organic Contaminants ◽  
Soil Column ◽  
Experimental Results ◽  
Advective Flux ◽  
Mechanical Dispersion ◽  
Simulation Results ◽  
Flux Diffusion

Biosparging is one of the effective in situ-technology to removal the organic contaminants. The experiments of removing MTBE by biosparging were carried out in a soil column. the results showed that there were the tailing of contaminants in the column without microorganism according with the microorganism. The removal of organic contaminants by biosparging was simulated by a mathematical model, which considered the advective flux, diffusion, mechanical dispersion, interphase mass transfer and biodegrade. The simulation results agreed with the experimental results well.

Mathematical Model for the Prediction of Gas-Liquid Mass Transfer in Airlift Contactors

2005 ◽  
Vol 5 (1) ◽  
pp. 65
Author(s):  
P. Pavasant ◽  
P. Wongsuchoto ◽  
V. Suksoir
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Dispersion Model ◽  
Reasonable Accuracy ◽  
Operational Conditions ◽  
Liquid Mass ◽  
Transfer Behavior ◽  
Liquid Mass Transfer ◽  
Gas Separator ◽  
Simulation Results

A mathematical model was proposed to explain the gas-liquid mass transfer behavior in an airlift contactor (ALC). The model separated the airlift contactor into three sections: riser, gas separator, and downcomer. The riser and downcomer were described using the dispersion model whilst the gas separator was modeled as a .completely mixed tank. All parameters needed for the model were obtained from independent experiments both carried out in this work and reported elsewhere. Simulation results were compared with a number of experimental data obtained from the systems with various geometrical and operational conditions. It was shown that the model could predict the oxygen mass transfer between phases in the ALC with reasonable accuracy. Keywords: Airlift contactor (ALC), dispersion model, mass transfer, mathematical model, and verification.

Modeling of aerated upflow fixed bed reactors for nitrification

1999 ◽  
Vol 39 (4) ◽  
pp. 85-92 ◽  
Author(s):  
J. Behrendt
Keyword(s):  
Mathematical Model ◽  
Mass Transfer ◽  
Liquid Phase ◽  
Gas Phase ◽  
Fixed Bed ◽  
Fixed Bed Reactor ◽  
Bulk Liquid ◽  
Initial Value ◽  
Fixed Bed Reactors ◽  
Number Of Cells

A mathematical model for nitrification in an aerated fixed bed reactor has been developed. This model is based on material balances in the bulk liquid, gas phase and in the biofilm area. The fixed bed is divided into a number of cells according to the reduced remixing behaviour. A fixed bed cell consists of 4 compartments: the support, the gas phase, the bulk liquid phase and the stagnant volume containing the biofilm. In the stagnant volume the biological transmutation of the ammonia is located. The transport phenomena are modelled with mass transfer formulations so that the balances could be formulated as an initial value problem. The results of the simulation and experiments are compared.

Research on Dynamic Balance Method of Precision Centrifuge

2014 ◽  
Vol 945-949 ◽  
pp. 777-780
Author(s):  
Tao Liu ◽  
Yong Xu ◽  
Bo Yuan Mao
Keyword(s):  
Mathematical Model ◽  
Balance Control ◽  
Dynamic Balance ◽  
Dynamic Balancing ◽  
Structure Characteristics ◽  
Balance System ◽  
Simulation Results ◽  
Set Up ◽  
System Controller ◽  
The Mathematical Model

Firstly, according to the structure characteristics of precision centrifuge, the mathematical model of its dynamic balancing system was set up, and the dynamic balancing scheme of double test surfaces, double emendation surfaces were established. Then the dynamic balance system controller of precision centrifuge was designed. Simulation results show that the controller designed can completely meet the requirements of precision centrifuge dynamic balance control system.

Identification and Model Predictive Position Control of Two Wheeled Inverted Pendulum Mobile Robot

2015 ◽  
Vol 73 (6) ◽  
Author(s):  
Amir A. Bature ◽  
Salinda Buyamin ◽  
Mohamad N. Ahmad ◽  
Mustapha Muhammad ◽  
Auwalu A. Muhammad
Keyword(s):  
Mathematical Model ◽  
System Identification ◽  
Mobile Robot ◽  
Inverted Pendulum ◽  
Position Control ◽  
Superior Performance ◽  
System A ◽  
Wheeled Inverted Pendulum ◽  
Simulation Results ◽  
Real Plant

In order to predict and analyse the behaviour of a real system, a simulated model is needed. The more accurate the model the better the response is when dealing with the real plant. This paper presents a model predictive position control of a Two Wheeled Inverted Pendulum robot. The model was developed by system identification using a grey box technique. Simulation results show superior performance of the gains computed using the grey box model as compared to common linearized mathematical model. 

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