Virtual Data acquisition

01.01.2006 - 30.08.2009
Assigned research project
The aim of the project is the development of a software tool for an optimized and efficient design of wheel loaders and similar construction machines. The software tool will predict characteristic values of construction machines, which are not yet existent and differ from existing machinery in configuration oder dimension. These predictions will be made based on measurement data from existing machines, and characteristic values are e.g. overall load configurations for axle-torques. The effect of changes in design parameters like bucket width, wheel diameter, or traction force can therefore be predicted without building expensive prototypes. In order to efficiently acquire the necessary data from existing machines design of experiment techniques wil be uitilized. The prediction will be made using linear methods like regression analysis as well as nonlinear approaches like artifical neural networks.

People

Project leader

Project personnel

Institute

Contract/collaboration

  • Liebherr-Werk Bischofshofen GmbH

Research focus

  • Sustainable and Low Emission Mobility: 10%
  • Computational System Design: 80%
  • Sustainable Production and Technologies: 10%

Keywords

GermanEnglish
Radladerwheel loader
Virtuelle Messdatenerfassungvirtual data acquisition
Messdatenbankmeasurement database

Publications