Abstract
In order to improve reliability and fatigue life of cylinder gaskets in heavy duty diesel engine, several methods and algorithms are applied to optimize operating factors of gaskets. Finite element method is utilized to figure out and analyze the temperature fields, thermal-mechanical coupling stress fields, and deformations of gasket. After determining the maximum values of three state parameters, the orthogonal experimental design method is adopted to analyze the influence rules of five operating factors on three state parameters of the gaskets and four factors which most significantly affect these state parameters are determined. Then, the method which uses operating factors to predict state parameters is established on the application of hybrid neuron network based on partial least squares regression and deep neural network. The comparison results between the predicted values and real values verified the accuracy of the hybrid neuron network method. Based on artificial bee colony algorithm, improvement is attached to the way three kinds of grey wolves locate preys in grey wolf algorithm and the way how using different hierarchy wolfs in grey wolf algorithm to determine three weight coefficients and the location of prey is put forward with. The method using artificial bee colony algorithm to optimize the grey wolf algorithm is called ABC and GWO. The proposed HNN and the ABC and GWO method are applied to work out operating factors values which correspond to optimal state parameters of gasket, and the gaskets are optimized according to the optimal values. It has been demonstrated by finite element analysis results that maximum temperature, maximum coupling stress, and the maximum deformation decrease to 6 K, 12.57 MPa, and 0.0925 mm compared to the original values, respectively, which proves the accuracy of the algorithm and the validity of the improvement.
Highlights
Cylinder gaskets are critical to reliable sealing and stable operating of diesel engine
Conclusion e paper applies FEM, orthogonal experimental design, HNN, and grey wolf optimization (GWO) to optimize the operating factors in conjunction with state parameters of cylinder gaskets. e main tasks are described as follows: (1) e FEM model is adopted to perform computational analysis on temperature fields, thermal-mechanical coupling stress fields, and deformations of cylinder gaskets; temperature field experiment is conducted to validate accuracy of the computing model, and areas with comparatively high temperature and stress as well as obvious deformations are analyzed in line with computing results
There are 5 operating factors and 3 state parameters. The former includes the radius of combustion chamber circle, radius of coolant channel, length of insulation area between 3rd and 4th cylinder, thickness of cylinder gasket, and bolt preload force, while the latter consists of maximum temperature, maximum stress, and maximum deformation of the cylinder gasket
Summary
Cylinder gaskets are critical to reliable sealing and stable operating of diesel engine. In Part 2, orthogonal experimental design method is adopted to calculate and analyze the influence rules of five operating factors (i.e., the diameter of the combustion chamber circle, the diameter of coolant channel, the length of thermal insulation area between the 3rd and 4th cylinders, the thickness of cylinder gasket, and bolt preload force) on three state parameters of the cylinder gaskets (i.e., the maximum temperature, maximum stress, and maximum deformation of the gasket), and the four operating factors which most significantly affect these state parameters are determined. According to the proposed working process model of diesel engine and data achieved by experiments, boundary conditions are figured out for temperature fields and thermal-mechanical coupling stress fields of cylinder gaskets. Research on operating factors optimization is carried out in the following parts
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
