Refine Your Search

Search Results

Viewing 1 to 4 of 4
Technical Paper

Trends In Assuring The Mechanical Durability Of Automotive Structures

Significant progress in materials and structures research leading to improved analytical and experimental capabilities for evaluating the mechanical durability of automotive structures is reviewed. Recent experiences in incorporating modern fatigue analysis methodology in easily used computer-based formats are then presented. This is followed by a general discussion of the application of design aids at various points in the product development cycle with emphasis on future trends and needs.
Technical Paper

Reliability Analysis of an Automotive Wheel Assembly

The incorporation of reliability theory into a fatigue analysis algorithm is studied. This probabilistic approach gives designers the ability to quantify “real world” variations existing in the material properties, geometry, and loading of engineering components. Such information would serve to enhance the speed and accuracy of current design techniques. An automobile wheel assembly is then introduced as an example of the applications of this durability/reliability design package.
Technical Paper

Material and Processing Effects on Fatigue Performance of Leaf Springs

Procedures are developed for assessing the influence of various material and processing factors on the fatigue performance of leaf springs. Cyclic material properties, determined from smooth axial specimens of spring steel, are used to determine the level and cyclic stability of residual stresses resulting from mechanical processing as well as the amount of permanent deformation associated with presetting operations. A damage parameter, incorporating material properties, residual stress effects and applied stressing conditions, is used to predict failure location, i.e. surface or subsurface, and lifetime as a function of processing sequence. Predictions are found to be in good agreement with experimental bending results.
Technical Paper

Random Fatigue Load History Reconstruction

A concise method for modeling nonstationary fatigue loading histories is presented. The mininum number of model parameters is achieved by fitting the variations in mean and variance by a truncated Fourier series. An autoregressive moving average (ARMA) model is used to describe the stationary component. Justification of the method is made by comparing fatigue relevant parameters obtained when subjected to the original and reconstructed histories. In spite of a relatively small number of parameters required, the model is shown to give good results that fall within the bounds predicted by the orginal history.