test bench

FEMFAT LAB fatigue

Visualize, calculate, and edit time history data based on calculated damage values

Features Overview:

  • Multidimensional rainflow counting, level-crossing, range-count
  • Time at level counting up to 3 dimensions
  • Editor for rainflow matrices, test track mix up
  • Addition (multiplication) of counting results
  • Fatigue analysis based on Miner
  • Damage equivalent peak/valley data reduction for FEM and test bench investigations, lifetime prediction
  • Extend peak/valley data for test bench investigations 

Rainflow Counting

Rainflow counting is the basis for several further counting methods like Level-Crossing and Range-Count, Peak Valley etc. and it's also the basis for damage calculation based on the Miner algorithm.

To consider multi axial loads, like Fx, Fy, Fz, Mx, My, Mz acting at a wheel also multidimensional Rainflow counting is supported.

Rainflow counting results can be added or multiplied to get to know the loads of the whole life time of a structure.

Time at Level counting

To analyze rotating loads beside Rainflow counting also time at level counting is necessary to be able to determine life time.

Time at Level counting methods are supported from one dimensional up to three dimensional load situations (i.e. gear, speed and torque).

Special counting methods

Further counting methods for special use.

  • `From-to’ counting
  • Two dimensional Min-Max counting
  • Speed at max. Amplitude

Graphical output of counting results

All counting results can be visualized. Rainflow results also may be edited in an graphical way.

Counting results may be compared with help of 2 dimensional plots.

Fatigue analysis based on Miner Algorithm

The miner algorithm is the commonly used fatigue analysis method in science and industry today.

  • Fatigue analysis based on Miner
  • Life time prediction
  • Damage equivalent Peak/Valley data reduction for FE and test bench investigations
  • Extended peak/valley data for test bench investigations
  • Test track mix up

Damage equivalent data compression 

Two methods are available to compress data in time domain.

For most test bench investigations its necessary to consider phase and frequency content of multi axial measured loads.

Multi axial load data which are used for FE calculation (FEMFAT MAX) must have correct phase relationship.

Test track mix up

To calculate the correlation of customer usage (target) to special test tracks usage (actual) a powerful optimization algorithm is used.

A lot of measurements can be combined to fulfill target damage best within a user defined testing time.

Used files may be selected automatically by FEMFAT Lab based on statistical reasons.