The Application of Genetic Algorithm in Valve Spring Optimization Design of Internal Combustion Engine

2015 ◽  
Vol 741 ◽  
pp. 810-813
Author(s):  
Shao Ni Wang
Keyword(s):  
Genetic Algorithm ◽  
Internal Combustion Engine ◽  
Optimization Design ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Technical Problems ◽  
Intelligent Computing ◽  
Application Range ◽  
Valve Spring ◽  
Design Variables

This paper described examples of genetic algorithm in valve spring optimization design of internal combustion engine, which solve the optimal values of the design variables by constructing multi-objective function. The technical problems that complex performance can't be considered in the calculation were solved in designing the spring, the method has many advantages such as simple universal, strong robustness, and wide application range; it is an essential and critical intelligent computing technology in the future mechanical optimization design.

Analysis and Research of the Combustion Process of YN4100QB Diesel Engine

2013 ◽  
Vol 744 ◽  
pp. 35-39
Author(s):  
Lei Ming Shi ◽  
Guang Hui Jia ◽  
Zhi Fei Zhang ◽  
Zhong Ming Xu
Keyword(s):  
Diesel Engine ◽  
Internal Combustion Engine ◽  
Combustion Chamber ◽  
Optimization Design ◽  
Combustion Engine ◽  
Geometric Model ◽  
Combustion Process ◽  
Internal Combustion ◽  
Engine Combustion ◽  
Exhaust Noise

In order to obtain the foundation to the research on the Diesel Engine YN4100QB combustion process, exhaust, the optimal design of combustion chamber and the useful information for the design of exhaust muffler, the geometric model and mesh model of a type internal combustion engine are constructed by using FIRE software to analyze the working process of internal combustion engine. Exhaust noise is the main component of automobile noise in the study of controlling vehicle noise. It is primary to design a type of muffler which is good for agricultural automobile engine matching and noise reduction effect. The present car mufflers are all development means. So it is bound to cause the long cycle of product development and waste of resources. Even sometimes not only can it not reach the purpose of reducing the noise but also it leads to reduce the engine dynamic. The strength of the exhaust noise is closely related to engine combustion temperature and pressure. The calculation and initial parameters are applied to the software based on the combustion model and theory. According to the specific operation process of internal combustion engine. Five kinds of common operation condition was compiled. It is obtained for the detailed distribution parameters of combusted gas temperature pressure . It is also got for flow velocity of the fields in cylinder and given for the relation of the parameters and crankshaft angle for the further research. At the same time NOx emissions situation are got. The numerical results show that not only does it provide the 3D distribution data in different crank shaft angle inside the cylinder in the simulation of combustion process, but also it provides a basis for the engine combustion ,emission research, the optimization design of the combustion chamber and the useful information for the designs of muffler.

Analysis on Application of HCCI Technology for Hybrid Electric Vehicles

2011 ◽  
Vol 128-129 ◽  
pp. 803-806 ◽  
Author(s):  
Jing Wu ◽  
Hong Yuan Zhang
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Engine Oil ◽  
Effective Solution ◽  
Batch Production ◽  
Technical Problems ◽  
Hybrid Electric

The article introduces HCCI technical characteristics, existing technical problems and characteristics of the hybrid electric vehicles, analyzes application feasibility and advantages of HCCI technology for hybrid electric vehicles and proposes that HCCI technology is an effective solution for the hybrid electric vehicles in increasing economy of internal-combustion engine oil and reducing emissions and further can realize batch production of products.

Probabilistic Tolerance Allocation for the Dynamics of an Internal Combustion Engine With a Flexible Connecting Rod

1997 ◽  
Author(s):  
F. Zhang ◽  
B. J. Gilmore ◽  
A. Sinha
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Equations Of Motion ◽  
Optimization Procedure ◽  
Internal Combustion ◽  
Tolerance Allocation ◽  
Radial Clearance ◽  
Connecting Rod ◽  
Link Length ◽  
Design Variables

Abstract Tolerance allocation standards do not exist for mechanical systems with flexibility and whose response are time varying, subjected to discontinuous forcing functions. Previous approaches based on optimization and numerical integration of the dynamic equations of motion encounter difficulty with determining sensitivities around the force discontinuity. The Alternating Frequency/Time approach is applied here to capture the effect of the discontinuity. The effective link length model is used to model the system and to account for the uncertainties in the link length, radial clearance and pin location. Since the effective link length model is applied, the equations of motion for the nominal system can be applied for the entire analysis. Optimization procedure is applied to the problem where the objective is to minimize the manufacturing costs and satisfy the constraints imposed on mechanical errors and design variables. Examples of tolerance allocation are presented for a single cylinder internal combustion engine with a flexible connecting rod.

Multidisciplinary Robust Design Optimization of an Internal Combustion Engine

2003 ◽  
Vol 125 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Charles D. McAllister ◽  
Timothy W. Simpson
Keyword(s):  
Internal Combustion Engine ◽  
Design Optimization ◽  
Robust Design ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Collaborative Optimization ◽  
Robust Design Optimization ◽  
Optimization Framework ◽  
Design Variables ◽  
Multiobjective Approach

In this paper, we introduce a multidisciplinary robust design optimization formulation to evaluate uncertainty encountered in the design process. The formulation is a combination of the bi-level Collaborative Optimization framework and the multiobjective approach of the compromise Decision Support Problem. To demonstrate the proposed framework, the design of a combustion chamber of an internal combustion engine containing two subsystem analyses is presented. The results indicate that the proposed Collaborative Optimization framework for multidisciplinary robust design optimization effectively attains solutions that are robust to variations in design variables and environmental conditions.

Intelligent Design of Internal Combustion Engine in Hybrid Genetic Algorithm

2010 ◽  
Vol 26-28 ◽  
pp. 186-189 ◽  
Author(s):  
Jiang Zhu ◽  
Ping Yuan Xi
Keyword(s):  
Genetic Algorithm ◽  
Internal Combustion Engine ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Hybrid Genetic Algorithm ◽  
Internal Combustion ◽  
Optimization Process ◽  
Operating Parameters ◽  
Local Optimum ◽  
Vehicle Engine

The basic parameters of internal combustion engines reflect the working performance and quality of the internal combustion engine. Therefore it is of great significance to design the operating parameters of vehicle engine by design optimization method. In this paper, hybrid genetic algorithm is adopted to optimize operating parameters of vehicle engine, so that optimization process was simplified and the global optimal solution is ensured reliably. Being satisfied with the heating loading, mechanical loading and the conditions of gas mixture of engine and boundary constraints, the optimization mathematical model is created which is to minimize the heating surface area of engine. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, the hybrid Genetic Algorithm are adopted to solve the optimization model. So that the optimization process is simplified and global optimum is acquired reliably.

Multidisciplinary Robust Design Optimization of an Internal Combustion Engine

2001 ◽  
Author(s):  
Charles D. McAllister ◽  
Timothy W. Simpson
Keyword(s):  
Internal Combustion Engine ◽  
Design Optimization ◽  
Robust Design ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Collaborative Optimization ◽  
Robust Design Optimization ◽  
Optimization Framework ◽  
Design Variables ◽  
Multiobjective Approach

Abstract In this paper, we introduce a multidisciplinary robust design optimization formulation to evaluate uncertainty encountered in the design process. The formulation is a combination of the bi-level Collaborative Optimization framework and the multiobjective approach of the compromise Decision Support Problem. To demonstrate the proposed approach, the design of a combustion chamber of an internal combustion engine containing two subsystem analyses is presented. The results indicate that the proposed Collaborative Optimization framework for multidisciplinary robust design optimization effectively attains solutions that are robust to variations in design variables and environmental conditions.

Hydrogen Blended with Gasoline, Diesel, Natural Gas (NGV) as an Alternative Fuel for ICE in Malaysia

2012 ◽  
Vol 165 ◽  
pp. 1-5 ◽  
Author(s):  
Halim Razali ◽  
Kamaruzzaman Sopian ◽  
Baharuddin Ali ◽  
Ali Sohif Mat
Keyword(s):  
Internal Combustion Engine ◽  
Alternative Energy ◽  
Combustion Engine ◽  
Internal Combustion ◽  
World Market ◽  
Technical Aspect ◽  
Hydrogen Energy ◽  
Automotive Manufacturing ◽  
Technical Problems ◽  
Transportation Sector

The instability of petroleum prices in the world market has caused the price of fuel in Malaysia to increase, especially in the transportation sector. As an alternative, the transition to use hydrogen as fuel was already in the study and research on the ability of hydrogen profit for internal combustion engine in the technical aspect. The governments involvement in the research as source of energy has been undertaken by several government agencies such as MOSTI, universities and automotive manufacturing industries. These agencies are responsible for developing activities, mainly for commercialization. The development of hydrogen energy in this country focuses on the role of hydrogen that includes methods of generating, transporting, storage, production, and long-term planning. Diversity in the use of hydrogen for Internal Combustion Engine (ICE) can be applied through many ways; hydrogen as the primary fuel, hydrogen mixed with gasoline, hydrogen mixed with diesel, and hydrogen mixed with NGV. Compatibility acceptance of ICE with hydrogen as an alternative energy can solve many technical problems such as backfire, knocking, and the reduction of hydrocarbon, carbon monoxide and smoke contaminants during engine ignition delay.

Multi-objective optimization design of engine crankshaft bearing

2016 ◽  
Vol 68 (1) ◽  
pp. 86-91 ◽  
Author(s):  
Jun Sun ◽  
Lei Shu ◽  
Xianhao Song ◽  
Guangsheng Liu ◽  
Feng Xu ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Power Loss ◽  
Optimization Design ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective ◽  
Engine Crankshaft ◽  
Bearing System

Purpose – This paper aims to use the crankshaft-bearing system of a four-cylinder internal combustion engine as the studying object, and develop a multi-objective optimization design of the crankshaft-bearing. In the current optimization design of engine crankshaft-bearing, only the crankshaft-bearing was considered as the studying object. However, the corresponding relations of major structure dimensions exist between the crankshaft and the crankshaft-bearing in internal combustion engine, and there are the interaction effects between the crankshaft and the crankshaft-bearing during the operation of internal combustion engine. Design/methodology/approach – The crankshaft mass and the total frictional power loss of crankshaft-bearing s are selected as the objective functions in the optimization design of crankshaft-bearing. The Particle Swarm Optimization algorithm based on the idea of decreasing strategy of inertia weight with the exponential type is used in the optimization calculation. Findings – The total frictional power loss of crankshaft-bearing and the crankshaft mass are decreased, respectively, by 26.2 and 5.3 per cent by the multi-objective optimization design of crankshaft-bearing, which are more reasonable than the ones of single-objective optimization design in which only the crankshaft-bearing is considered as the studying object. Originality/value – The crankshaft-bearing system of a four-cylinder internal combustion engine is taken as the studying object, and the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system is developed. The results of this paper are helpful to the design of the crankshaft-bearing for engine. There is universal significance to research the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system. The research method of the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system can be used to the optimization design of the bearing in the shaft-bearing system of ordinary machinery.

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