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Design and simulation of rail vehicles

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Descripción

Keep Up with Advancements in the Field of Rail Vehicle Design A thorough understanding of the issues that affect dynamic performance, as well as more inventive methods for controlling rail vehicle dynamics, is needed to meet the demands for safer rail vehicles with higher speed and loads. Design and Simulation of Rail Vehicles examines the field of rail vehicle design, maintenance, and modification, as well as performance issues related to these types of vehicles.


Características

  • ISBN: 9781466575660
  • Páginas: 337
  • Tamaño: 17x24
  • Edición:
  • Idioma: Inglés
  • Año: 2014

Disponibilidad: 15 a 30 Días

Contenido Design and simulation of rail vehicles

Keep Up with Advancements in the Field of Rail Vehicle Design

A thorough understanding of the issues that affect dynamic performance, as well as more inventive methods for controlling rail vehicle dynamics, is needed to meet the demands for safer rail vehicles with higher speed and loads. Design and Simulation of Rail Vehicles examines the field of rail vehicle design, maintenance, and modification, as well as performance issues related to these types of vehicles. This text analyzes rail vehicle design issues and dynamic responses, describes the design and features of rail vehicles, and introduces methods that address the operational conditions of this complex system.

Progresses from Basic Concepts and Terminology to Detailed Explanations and Techniques

Focused on both non-powered and powered rail vehicles—freight and passenger rolling stock, locomotives, and self-powered vehicles used for public transport—this book introduces the problems involved in designing and modeling all types of rail vehicles. It explores the applications of vehicle dynamics, train operations, and track infrastructure maintenance. It introduces the fundamentals of locomotive design, multibody dynamics, and longitudinal train dynamics, and discusses co-simulation techniques. It also highlights recent advances in rail vehicle design, and contains applicable standards and acceptance tests from around the world.

• Includes multidisciplinary simulation approaches

• Contains an understanding of rail vehicle design and simulation techniques

• Establishes the connection between theory and many simulation examples

• Presents simple to advanced rail vehicle design and simulation methodologies

Design and Simulation of Rail Vehicles serves as an introductory text for graduate or senior undergraduate students, and as a reference for practicing engineers and researchers investigating performance issues related to these types of vehicles.

Maksym Spiryagin works as a chief investigator at the Centre for Railway Engineering at Central Queensland University (CQU), Australia. His current research interests are rail vehicle dynamics, locomotive traction, mechatronics, and real-time and software-enabled control systems. He received his PhD in the field of railway transport in 2004 at the East Ukrainian National University. His research focused on rail vehicle design and the development of locomotive traction, real-time models, and vehicle mechatronic systems. He has more than 80 scientific publications and is listed as one of the inventors of 20 patents.

Colin Cole is the director of the Centre for Railway Engineering at Central Queensland University (CQU), Australia. He is also the research program leader for the Engineering and Safety Program of the Australian Cooperative Research Centre for Rail Innovation. His PhD was in longitudinal train dynamics. His rail industry experience includes track maintenance, rolling stock and vehicle dynamics, simulation, and the development of on-board devices. His current research interests are train and wagon dynamics, simulation, and train control technologies. He has published 72 papers and one book chapter, and has two patents.

Yan Quan Sun works as a senior research engineer at the Centre for Railway Engineering at Central Queensland University (CQU), Australia. His current research interests include rail vehicle dynamics, longitudinal train dynamics, rail vehicle–track interaction dynamics, and rail–track and bridge dynamics. He came to Australia in 1998 and received his PhD in the field of railway transport in 2002 at CQU. He has published more than 70 scientific and academic papers.

Mitchell McClanachan is a mechanical engineer and has been involved in railway research projects for individual railway companies and cooperative rail research agencies at the Centre for Railway Engineering at Central Queensland University (CQU), Australia since 1995. His areas of expertise include train simulation, wagon simulation, rolling stock testing, instrumentation, data acquisition, structural fatigue, energy optimization, hybrid locomotive systems, economics, human factors, railway safety systems, and automated monitoring systems. He has published numerous research reports, consulting reports, journal articles, conference papers, patents, and short stories. Mitchell is a registered professional engineer of Queensland, a member of Engineers Australia, and a member of the Australasian Association for Engineering Education.

Valentyn Spiryagin received his PhD in the field of railway transport in 2004 at the Volodymyr Dahl East Ukrainian National University, Lugansk, Ukraine. He is now with the chair of railway transport at the same university. His research activities include rail vehicle dynamics, multibody simulation, and control systems. Currently, he works on rail vehicle design and dynamics, mechatronic suspension systems for locomotives, locomotive traction, and embedded software development. He has more than 60 scientific papers and 28 patents as one of the inventors.

Tim McSweeney has over 30 years of experience in the field of railway infrastructure asset management, specializing particularly in track engineering in the heavy haul environment. He was the senior infrastructure manager overseeing the Bowen Basin export coal network for Queensland Rail from 1991 until 2001 when he joined the Centre for Railway Engineering at Central Queensland University (CQU), Australia to follow his interest in railway research. He retired in 2007, but has continued his involvement as an Adjunct Research Fellow and was awarded an honorary master of engineering degree by CQU in 2011.

Contents


Introduction

References

Unpowered Rail Vehicle Design

Introduction

Types of Wagons

Wagon Frames

Suspension Elements

Bogies

Wheelsets and Bearings

Wagon Bodies

Brake Systems

Coupling

Standards

Acceptance Tests

Advances in Rail Vehicle Design

Design of Locomotives

History of Locomotives

Traction Rolling Stock

Common Locomotive Components and Systems

Locomotive Design: New Perspectives

General Modelling Techniques

Dynamics of Bodies

Wheel–Rail Contact Patch

Brake Modelling

Aerodynamics

Introduction to FEM

FEM of Rail Vehicle Structure

FEM of Rail

Rail Track, Sub-Structure and Bridge Modelling

Pantograph Modelling

Modelling Techniques

References

Multibody Dynamics

Introduction to Multibody Dynamics

Kinematics

Dynamics

Elements

Rigid Body versus Flexible Body

Multibody Dynamics Software for Rail Vehicle Dynamics

References

Longitudinal Train Dynamics

Introduction to Longitudinal Train Dynamics

Modelling Longitudinal Train Dynamics

Interaction of Longitudinal Train and Lateral/Vertical Wagon Dynamics

Longitudinal Comfort

Energy Considerations

Train Control, Management and Driving Practices

Design Considerations

References

Rail Vehicle–Track Interaction Dynamics

Introduction

Modelling of Rail Vehicles

Modelling of Tracks

Modelling of Wheel–Rail Contact

Example of a Three-Dimensional Rail Wagon–Track System Dynamics Model

Numerical Integration Methods

Vehicle Dynamic Performances

Vehicle–Track Interactions

Vehicle Acceptance Simulations

References

Co-Simulation and Its Application

Introduction to Co-Simulation Process

Co-Simulation between Multibody Software Packages and MATLAB/Simulink

Design of the Co-Simulation Interface

References

Advanced Simulation Methodologies

Complex Tasks and Their Solutions

Scenario A: On-Line Simulation and Existing Pre-Calculated Data

Scenario B: On-Line Simulation and Experimental Data

Scenario C: Real-Time Simulation

References

Conclusion

Index

 

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