Engine Parameters Optimization Design for Mine Dump Truck Based on the Genetic Algorithm

2013 ◽  
Vol 373-375 ◽  
pp. 2143-2146
Author(s):  
Lv Chang
Keyword(s):  
Genetic Algorithm ◽  
Fuel Economy ◽  
Optimization Design ◽  
Dynamic Performance ◽  
Simulation Software ◽  
Parameters Optimization ◽  
Function Optimization ◽  
Dump Truck ◽  
Dump Trucks ◽  
Mine Dump

The interface is constructed between the mine dump trucks performance simulation software and the genetic algorithm, aiming at the very complex relationship between the mine dump truck engine and its dynamic performance and fuel economy. The optimization of the objective function, optimization variables and constraints are designed. Genetic algorithm is used to design type 3303B mine dump trucks. The optimization of the design results are compared and analyzed on before and after and the results show that the fuel economy of the optimization of genetic algorithm is better than the original car, fuel consumption reduced 0.51 every km.

Study on Optimization Matching Algorithm for Automotive Powertrain

2014 ◽  
Vol 635-637 ◽  
pp. 1890-1894
Author(s):  
Feng Ping Cao ◽  
Li Fa Zhou ◽  
Yong Di Wang
Keyword(s):  
Genetic Algorithm ◽  
Optimization Algorithm ◽  
Fuel Economy ◽  
Dynamic Performance ◽  
Evaluation Index ◽  
Reduce Fuel Consumption ◽  
Matching Algorithm ◽  
Vehicle Simulation ◽  
Before And After ◽  
Automotive Powertrain

In order to reduce fuel consumption and ensure dynamic performance of the car, an automotive powertrain optimization algorithm was presented in the paper. Firstly, the evaluation index of automobile dynamic performance and fuel economy were introduced. Then, the objective function was built, and the transmission and main reducer transmission ratios were designed as variables, and parameters of the vehicle transmission system were optimized by using the genetic algorithm. Finally, a vehicle simulation model by SimulationX software was established, and the power and economy performance before and after optimization were compared and analyzed.

The Optimization Design of Brake System in Mine Dump Truck

2012 ◽  
Vol 233 ◽  
pp. 328-331
Author(s):  
Jing Yi Zhao ◽  
Chun Hui Zhang ◽  
Rui Guo ◽  
De Cai Han ◽  
Yong Chang Wang
Keyword(s):  
Field Test ◽  
Optimization Design ◽  
Brake System ◽  
Practical Significance ◽  
Dump Truck ◽  
Improvement Plan ◽  
Actual Use ◽  
Brake Performance ◽  
Mine Dump

On the base of introducing the principle of the brake system of mine dump truck,the in fluence factors of the brake performance are analysed.In order to further reduce the brake distance to meet the requirements of actual use,the improvement plan is presented for brake system opti mization and the field test is made.The results show that the brake duration of the brake system is re duced after the optimization and the performance is improved which is of great practical significance.

Optimization Design of Gravity Compensation System for a 5-DOF Articulated Heavy-Duty Robot

2014 ◽  
Vol 556-562 ◽  
pp. 2359-2364
Author(s):  
Lei Liu ◽  
Bo Huang ◽  
Yan He Zhu ◽  
Jie Zhao
Keyword(s):  
Optimization Design ◽  
Design Method ◽  
Dynamic Performance ◽  
Compensation System ◽  
Parameters Optimization ◽  
Gravity Compensation ◽  
Heavy Duty ◽  
Balance System ◽  
Optimization Parameters ◽  
Position Parameter

Spring loaded balance system is a common method for designing the gravity compensation system of heavy-duty robot. In the design process of this system, the relevant parameters of the spring itself and spring loaded balance system’s installation position parameter have a great impact on the final compensation effect. This paper introduces a parameters optimization design method of heavy-duty robot’s spring loaded balance system. Based on the dynamics equation of heavy-duty robot, we built a mathematical model of the balanced joint with spring loaded balance system. The torque of balanced joint in this model and the relevant parameters of spring loaded balance system are the optimization goal and the optimization parameters relatively. Then we obtained the optimization result of spring loaded balance system’s parameters using optimization toolbox of MATLB. By the above method, we designed and optimized the spring loaded balance system of a 5-DOF articulated heavy-duty robot. Through the comparison of the result calculated by MATLB, the optimized spring loaded balance system greatly reduces the torque of balanced joint and the consumption of joint drive. Meanwhile, by this method, the optimized spring loaded balance system maximally improves the dynamic performance and service life of the heavy-duty robot.

scholarly journals Actual Technical Condition Assessment of A Motor-Wheel Gear of A Dump Truck Belaz Based on the Operating Oil Parameters

2019 ◽  
Vol 105 ◽  
pp. 03021 ◽  
Author(s):  
Andrei Kudrevatykh ◽  
Andrei Ashcheulov ◽  
Alena Ashcheulova ◽  
Olesia Karnadud ◽  
Ludger Rattmann
Keyword(s):  
Chemical Analysis ◽  
Temperature Control ◽  
Technical Condition ◽  
Open Pit ◽  
Dump Truck ◽  
Repair Costs ◽  
Dump Trucks ◽  
Wear Products ◽  
Physical And Chemical ◽  
Mine Dump

One of the most important indicators of mining complexes are reliability and durability of their components. Studies have shown that the largest amount of mine dump truck down time occurs due to unforeseen failures of a motor-wheel gear. The introduction of additional technological processes to diagnose the actual technical condition of a gear in the maintenance procedure will make it possible to maintain directly the state of its component parts with in-place manner. The method of diagnosing the condition of a motor-wheel gear is based on physical and chemical analysis of oil, as well as its temperature control. During open pit machinery exploitation, various mechanical impurities of wear products of rubbing surfaces accumulate in the operating oil, so it is possible to predict the degree of wear of gear units and mechanisms based on these mechanical impurities. The introduction of this method in production will significantly reduce the down time of dump trucks, thereby increase the productivity of the enterprise and reduce repair costs.

Design Parameters Optimization of Cutting Head of Cantilever Roadheader Based on Genetic Algorithm

2012 ◽  
Vol 215-216 ◽  
pp. 193-196 ◽  
Author(s):  
Gang Liu ◽  
De Sen Mu ◽  
Shi Xi Duan ◽  
De Chao Song
Keyword(s):  
Genetic Algorithm ◽  
Kinetic Parameters ◽  
Optimization Design ◽  
Production Efficiency ◽  
Rock Strength ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Cutting Head ◽  
Cutting Parameters Optimization

For hard rocks whose protodyakonov scale of hardness f are greater than 8, research on the optimization design of cutting head of cantilever roadheader. Optimization model of the cutting head was established, in this model, the objective function was established based on dust mount, energy consumption and production efficiency. The design variables contain cutting head structural and kinetic parameters, the constraints are determined in accordance with working condition and practical experience. Cutting head parameters are optimized with parameters change related to rock strength, using genetic algorithm in Matlab7.0. A variety of cutting parameters optimization results related to rock strength are of great significance for the structural design of the cutting head and selection of kinetic parameters.

scholarly journals Parameters optimization of two-speed powertrain of electric vehicle based on genetic algorithm

2020 ◽  
Vol 12 (1) ◽  
pp. 168781402090165
Author(s):  
Yuhang Li ◽  
Bo Zhu ◽  
Nong Zhang ◽  
Hao Peng ◽  
Yongzhong Chen
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimization Model ◽  
Fitness Function ◽  
Dynamic Performance ◽  
Parameters Optimization ◽  
Optimization Process ◽  
Performance Parameters ◽  
Improved Genetic Algorithm

Aiming at the shortcomings of only optimizing the gear ratios of two-speed transmission in the optimization process of two-speed powertrain parameters of electric vehicles, the optimization of two-speed powertrain parameters of electric vehicles based on genetic algorithm is proposed. The optimization process is to optimize the main performance parameters of the drive motor and the gear ratios of two-speed transmission. That is, taking the economy and dynamic of the electric vehicle as the fitness function, the gear ratios of two-speed transmission is optimized under the main performance parameters of different drive motors, so as to find the powertrain parameter with the best fitness function value. Among them, the AMESim software is used to build the vehicle optimization model, the genetic algorithm is improved by MATLAB, and the improved genetic algorithm is used to optimize the vehicle optimization model. The results show that the optimization of the vehicle’s economic and dynamic performance has been improved, indicating that this optimization method is effective.

Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System

2014 ◽  
Vol 556-562 ◽  
pp. 2462-2465
Author(s):  
You Gang Sun ◽  
Hai Yan Qiang ◽  
Xiao Ming Sheng
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Negative Impact ◽  
Dynamic Performance ◽  
Compensation System ◽  
Integrated System ◽  
Parameters Optimization ◽  
Control Effect ◽  
System A ◽  
The Stability

To reduce the negative impact of the unexpected motion in the heave direction when hoisting on the sea, a heave compensation system is indispensable for a floating crane. In this paper, a genetic algorithm-based PID controller is presented to improve the dynamic performance of the heave compensation system. A simulation model of electro-mechanical and hydraulic integrated system of the heave compensation system is built. The simulation results show that the genetic algorithm-based PID control system improves the dynamic characteristics, strengthens the stability and rapidity of the system and even ensures the control effect of the heave compensation system.

Multi-Objective Optimization of Automobile Powertrain Based on Genetic Algorithm

2013 ◽  
Vol 710 ◽  
pp. 651-654
Author(s):  
Min Chang ◽  
Hua Zhu
Keyword(s):  
Genetic Algorithm ◽  
Fuel Economy ◽  
Optimization Design ◽  
Parametric Optimization ◽  
Multi Objective Optimization ◽  
Power Performance ◽  
Performance Simulation ◽  
Power Train ◽  
Simulation Calculation ◽  
Result Show

Simulation model of automobile power train has been built using ADVISOR, on the basis of Genetic Algorithm Tool Box, the paper takes a mini car as example to carry out performance simulation calculation and power train parametric optimization design. The result show that automobile power performance and fuel economy and emission performance have been greatly improved

Calculation and Optimization Design of LJ276M Gasoline Engine Intake System

2011 ◽  
Vol 55-57 ◽  
pp. 1619-1624
Author(s):  
Ming Yi Zhu ◽  
Zhi Hua Cui ◽  
Qing Liu
Keyword(s):  
Process Model ◽  
Optimization Design ◽  
Gasoline Engine ◽  
Structural Parameters ◽  
Dynamic Performance ◽  
Simulation Software ◽  
Intake Manifold ◽  
Intake System ◽  
Verification Methods ◽  
Test Verification

Based on parameters and design requirements of the original LJ276M gasoline engine, using Helmholtz theory to calculate resonance frequency, intake manifold length and diameter and other structural parameters, rapid design a new resonance intake system. And then apply simulation software GT-Power to build working process model of the LJ276M Electronically Controlled Gasoline engine, and determine the final structural parameters of the intake system through the use of rapid prototyping and test verification methods. Compared with the original machine, the dynamic performance is improved significantly by the use of optimum design of the intake system.

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