The robustness evaluation of compressor components must take into account the variations in the mechanical properties of the material (such as Young's modulus and mass density), geometric parameters (as radius, thickness, length) and loads. Sometimes, the combination of these factors could result in the component failure. The correct way to assess the robustness of the component (considering the parameters variation) is through the statistical analysis using probabilistic design techniques. One methodology is the application of Monte Carlo method to generate random combinations of geometrical, loads and physical parameters that produce the same real component variation. This work shows the application of probabilistic analysis (Monte Carlo method) to estimate the scatter of resonance modes frequency of a discharge tube. The input parameters are the geometry, material properties and damping spring. The alternatives are analyzed by finite element method.
[1]
Eduardo Luis Gaertner.
Robust Design Applied to Manufacturing Analysis
,
2008
.
[2]
M. G. de Bortoli.
Concurrent and Simultaneous Engineering Applied to Design Hermetic Refrigeration Compressor
,
1992
.
[3]
Rinaldo Puff,et al.
The Use of CAD/CAE Tools in Compressor Development Focusing Structural Analysis
,
2006
.
[4]
Joseph Edward Shigley,et al.
Mechanical engineering design
,
1972
.
[5]
Christian Soize,et al.
Chair of Engineering Mechanics Ifm-publication 2-391 Data and Model Uncertainties in Complex Aerospace Engineering Systems
,
2022
.
[6]
Rinaldo Puff,et al.
Compressor Components Optimization with the Use of Finite Element Method
,
1998
.
[7]
Singiresu S Rao,et al.
Reliability-Based Design
,
1992
.