Contact Us
RP_process_1000x250

Rack & Pinion Steering SimApp™

Automotive components must pass rigorous tests to ensure they meet all requirements for packaging, performance, safety and cost. Many of these components are complex assemblies of parts, and evaluating them require well learned engineering skills. As a consequence, developing and properly analyzing these components is a time consuming effort, performed by experts only. Each revision of these models must be analyzed, and the analysis results help fine tune the design. Rack and pinion steering systems are no different. To adequately and accurately model some of the standard sub-components of these systems, such as gears, bearings, etc., judiciously defined low fidelity representations must be developed and integrated with each unique new design.

Comet Solutions, in association with a global supplier of advanced steering and driveline systems, developed a SimAppTM that predicts the performance of rack and pinion steering systems subjected to a series of standard loading conditions. This SimAppTM takes advantage of Comet’s unique capability to define parametric libraries of low fidelity components that allow easy integration and reuse. These specially designed parametric assemblies are then automatically inserted, sized and positioned within new rack housing designs, and provide various configurations for mounting.  The newly assembled model can then be automatically simulated, and a standard report generated.

Benefits:

  • Automate the assembly of simulation models for each design iteration, significantly reducing the time to analyze each model.
  • Fully automate results extraction and report generation.
  • Promote best practices and methods to guaranty the validity of the analysis.
  • Enable non-experts to safely define and run these complicated models.

Impact:

  • Engineers and designers are able to rapidly configure and evaluate new rack and pinion steering models, while changing geometry, configurations and loading conditions.
  • Significantly reduces the model preparation and report creation.
  • Enables more design variations to be evaluated.
  • Frees the experts so they can spend more time exploring and developing new methods.