Dissertation > Excellent graduate degree dissertation topics show

Optimization of Schedule and Finite Elements Simulation of the Rail’s Universal Rolling

Author: YangJianFeng
Tutor: ZhangWenZhi
School: Yanshan University
Course: Mechanical Design and Theory
Keywords: Rail Universal Rolling Tandem Rolling Genetic Algorithm Multi-objective Penalty Function Method Coupled Thermal-Stress
CLC: TG335.43
Type: Master's thesis
Year: 2010
Downloads: 56
Quote: 1
Read: Download Dissertation

Abstract


Enter the 21st centuries, High-speed railway promptly becomes the most important mean of transport of the word. In order to meet the demands of the world’s growing population and fast developing economies, the developmental tendency of the world’s railway assumes high speed and heavy haulage. At present, our country is speeding up the process of the high-speed railways, although the speed of train has been raised several times, absolute velocity unable to achieve the level of the advanced countries. Dimensional accuracy, capability and strength of the rail were the important elements which restricted the speed of rail.Finite element analysis technology is a Numerical Simulation which Along with the rapid development of Computer Technology and Computation Method, it’s a powerful tool to analyze plastic working process of metals and forecast final effect of a technology. Adopting Finite element method to simulation rolling process, we can In-depth study Deformation Law of rolling process and make up for lack of experiments, further improved research method of High-precision heavy rail.Genetic Algorithm (GA), which simulates natural evolution procedure and mechanism developed in recent years, is self-organizing and self-adapting artificial intelligence technology. The technology bases on Darwinian natural selection and Mendelian genetics. The basic thought of solving optimization problem with GA is as follows. Firstly, the objective function of optimization is interpreted as the capability to environment for biotic-population, and the optimizing variable is corresponded with the individuals of biotic-population. Secondly, the current population is changed to a new one by suitable operation of duplication, hybridization, dissociation and selection. Thirdly, the procedure is duplicated until the fitting population is obtained.In this paper, Universal Rolling Schedule of the 60 kg/m heavy rail has been optimal designed by using Genetic Algorithm Toolbox in Matlab and Penalty Function Method, adopting Non-linear finite element software—MARC combined 3D modeling software─Pro/E, established finite element calculating model of Rail Universal Rolling and carried out a coupled thermal—stress simulation calculation of Universal Tandem Rolling Process of 60 kg/m heavy rail.

Related Dissertations

  1. Research on Scheduling of Whole-set Orders in JSP Based on Differential Evolution Algorithm,F273
  2. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  3. Research of the City Expansion and Thermal Environment in Guangzhou,X16
  4. The Application of Fuzzy Comprehensive Evaluation Based on Genetic Algorithm in Vocational Evaluation of Classroom Teaching,G712
  5. High Pressure Common Rail Diesel Engine Fueled with Biodiesel test under different atmospheric pressure,TE667
  6. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  7. Design and Realization of the Magnetic Antenna in MW and SW Bands Based on Genetic Algorithm,TN820
  8. Citrus Image Segmentation Based on Genetic Algorithm,TP391.41
  9. Research of Scheduling Algorithm Based on Hybrid Adaptive Genetic Algorithm in Computing Grid,TP393.09
  10. Public Transport Optimal Dispatching Based on the Genetic-Newton Algorithm,TP18
  11. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  12. The Research on Texture Synthesis Technology from Cloud Theory & Been Evolution Genetic Algorithm,TP391.41
  13. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  14. Research on Subsea Pipeline Repair Coupling,TE973
  15. Mining resources based on genetic algorithm optimization model of,O224
  16. Chongqing rail transit to carry out the study of urban distribution,F572.88
  17. Study on Optimal Allocation of Regional Water Resources Based on PSO,TV213.4
  18. The magnetorheological damper mechanical properties and Gun Recoil,TB535.1
  19. A New Rail Crack Remote Monitoring System,U213.4
  20. Optimization Study on Gating System and Molding Process Parameters of Injection Mold Based on Simulation,TQ320.662
  21. Research on the Milling Performance and Parameters Optimization with Large Parts of Heavy Machine,TG54

CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling process > Section rolling > Rail rolling
© 2012 www.DissertationTopic.Net  Mobile