MULTI-OBJECTIVE SELECTIVE ASSEMBLY OF INTERNAL-COMBUSTION ENGINE LINKAGE OF CRANK-ROD BASED ON IMPROVED HYBRID GENETIC ALGORITHM

2006 ◽  
Vol 42 (01) ◽  
pp. 155 ◽  
Author(s):  
Mingzhou LIU
Keyword(s):  
Genetic Algorithm ◽  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Hybrid Genetic Algorithm ◽  
Internal Combustion ◽  
Selective Assembly ◽  
Multi Objective

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.

Multi-Objective Optimization of Internal Combustion Engine Valve Springs Based on NSGA-II

2014 ◽  
Vol 945-949 ◽  
pp. 473-477
Author(s):  
You Jian Wang ◽  
Guang Zhang
Keyword(s):  
Genetic Algorithm ◽  
Internal Combustion Engine ◽  
Optimization Problem ◽  
Combustion Engine ◽  
Graphical Methods ◽  
Multi Objective Optimization ◽  
Design Quality ◽  
Nsga Ii ◽  
Engine Valve ◽  
Multi Objective

The design of engine valve spring generally belongs to multi-objective optimum design. The traditional trying means and the graphical methods are difficult to solve the multi-objective optimization problem, and the traditional multi-objective algorithms have certain defects. The elitist non-dominated sorting genetic algorithm (NSGA-II) is an excellent multi-objective algorithm, which is widely used to solve problems of multi-objective optimization. This method can improve the design quality and efficiency, and it has much more engineering practical value.

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.

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.

Multi-objective optimization of the volumetric and thermal efficiencies applied to a multi-cylinder internal combustion engine

2020 ◽  
Vol 216 ◽  
pp. 112930
Author(s):  
Germano Menzel ◽  
Stephan Hennings Och ◽  
Viviana Cocco Mariani ◽  
Luís Mauro Moura ◽  
Eric Domingues
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Multi Objective Optimization ◽  
Multi Objective
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