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VI-Rail

Integrated Simulation Environment

Using VI-Rail – the specialized railcar simulation software from VI-Grade - you can quickly build a complete, parameterized model of a new railway vehicle, easily define its suspension, wheelset, wheel-rail contact, and other vital characteristics. Running thru a battery of simulations it is possible to determine the vehicle’s stability, derailment safety clearance, track load, passenger comfort, and more. The performance of a railcar design can be optimized virtually in the computer, before cutting a single piece of metal or running a single physical test.

VI-Rail Applications

  • Dynamic simulation of wheel-rail contact
  • Suspension design
  • Wear predictions
  • Creep analysis
  • Coupler design
  • Bogie analysis
  • Track loads prediction
  • Simulation of cargo tie-down effectiveness
  • Design of material handling equipment
  • Design and simulation of auxiliary equipment
  • Event reconstruction

VI-Rail Train

Fast "What-if" Simulation

Simulation gives users immediate answers to their engineering questions. They quickly see and understand how any kind of design change will affect vehicle performance. VI-Rail is built upon the MSC.Software product MSC.Adams™ , widely recognized as the world’s leading mechanical system simulation tool.

VI-Rail extends users’ ability to:

  • Quickly build, test, and refine railcar designs, exploring many alternatives. A user can, for example, change springs with only a few mouse clicks, instead of having to wait for a mechanic to install new springs, as required with physical testing.

  • Easily vary the kinds of analyses being performed. With simulation, there’s no need to modify physical instrumentation, test fixtures, and test procedures.

  • Work in a secure testing environment, without fear of losing critical data to instrument failure or falling behind schedule due to poor weather condition for testing

VI-Rail users can instantly see the effects of design changes on railcar performance in high-speed animation. They can easily detect component interferences, excessive wear, instability, and performance limitations. Users can also plot key parameters in graphs to compare results from different designs.