Gonzalo, T., "Reliability Analysis in Rear Axles for Truck," SAE Technical Paper 2013-36-0256, 2013, doi:10.4271/2013-36-0256.
This paper is to for determine, using a simulation model (equation) and graphic, each of the faults that may occur in a systems, mechanical / electrical / hydraulic / pneumatic.In this case I have taken the rear axle of a truck as a component to analyze.Was sampled over 34,000 units in warranty, from 2004 to 2012The next steps for the project are:Search specific data (manufacturers, companies, dealers) on the different types of failures and their respective analysis, in order to model and interpret correctly my analysis and simulation.Take a drive current park representative to mount the rear axle and are within one standard warranty period for a truck plant (1 to 2 years or 100,000 km. 200,000 km. respectively).Analyze data obtained in point 2 (number of faults, fractures) to have a database, with respect to reliability, unreliability and hazard rate.After concluding point 3 An equation developed (based on data and concepts obtained in point 1) to the rear axle, which allows me to get a simulation of the product. The graph obtained is the hazard rate (experimental) with which analyze real cases. Interpretation of the resulting data.This paper is to for determine, using a simulation model (equation) and graphic, each of the faults that may occur in a systems, mechanical / electrical / hydraulic / pneumatic.In this case I have taken the rear axle of a truck as a component to analyze.Was sampled over 34,000 units in warranty, from 2004 to 2012The purpose of this paper is generate a graph and a simulation model using an empirical equation that responds to failures typical on rear axles, which can be grouped into five main groups.Failures TypicalVehicle ApplicationOverloadOperation of the vehicle / MissionMaintenance / LubricationFirst series of manufacturing and / or assemblyTo make the graph and an equation that considers typical faults, analyze two aspects.An actual curve of the rear axle, based on fatigue tests performed by the supplier and failure statistics on trucks. The characteristics of the graphic must correspond to a hazard rate curve (bathtub curve for a mechanical component)The other hand generate an empirical formula which will be placed on different variables typical fault, this equation is conceptually similar to that used in the calculation of bearing fatigue. With all this data is generated a query graphic.