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Proceedings ArticleDOI

Fatigue and Bearing Analysis of an Engine Connecting Rod Based on Multi-body Dynamics

Deng Banglin1, Liu Jingping1, Yang Jing1, Feng Renhua1, Fu Jianqin1, Chen Shanping1 
06 Jan 2011-Vol. 2, pp 178-182
TL;DR: In this article, the fatigue and friction of big end bearing on an engine connecting rod by combining the multi-body dynamics and hydrodynamic lubrication model was studied. And the simulation results showed a good agreement when contrast the simulation result to the bearing wear in the experiment.
Abstract: This paper has studied the fatigue and friction of big end bearing on an engine connecting rod by combining the multi-body dynamics and hydrodynamic lubrication model. First, the basic equations and the application on AVL-Excite software platform of multi-body dynamics have been described in detail. Then, introduce the hydrodynamic lubrication model, which is the extended Reynolds equation derived from the Navier-Stokes equation and the equation of continuity. After that, carry out the static calculation of connecting rod assembly. At the same time, multi-body dynamics analysis has been performed and stress history can be obtained by finite element data recovery. Next, execute the fatigue analysis combining the Static stress and dynamic stress, safety factor distribution of connecting rod will be obtained as result. At last, detailed friction analysis of the big-end bearing has been performed. And got a good agreement when contrast the simulation results to the Bearing wear in the experiment.
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Journal ArticleDOI
TL;DR: A new reliability model for multi-state systems/components with state transition dependency is put forth and the dependency among state transitions is implicitly characterized by copula functions which offer a great flexibility of linking arbitrary marginal distributions together to construct a multivariate distribution.

56 citations

Proceedings ArticleDOI
01 Oct 2016
TL;DR: In this paper, the authors used the finite element method to analyze the stress, deformation and strain on the connecting rod as a result of the pressure that occurs during combustion in a range extender engine.
Abstract: This paper discusses design and static analysis of a connecting rod which is one of the essential components of an internal combustion engine. In this study, connecting rod design is used to construct range extender engine. Range extender engine is one of the important components used to improve the shortcomings of electric vehicles which in this study is of 999 cc capacity. Finite element method was used to analyze the stress, deformation and strain on the connecting rod as a result of the pressure that occurs during combustion. The material used in this research is AISI 4340 steel. Design and analysis were done using SolidWorks software and Ansys Workbench. The pressure contained in the combustion chamber was 5.5 MPa, cylinder bore and stroke was 86 mm x 86 mm. The forces acting on the connecting rod due to pressure of combustion was 32157 N. The maximum value of stress, deformation and strain occurred in the connection between the rod connecting rod big end. Von Mises stress maximum is 423.95 MPa. The maximum deformation value of the connecting rod is 0,125 mm. The maximum principal elastic strain value is 0.0012 mm/mm. The maximum shear stress value of connecting rod is 218.38 MPa. Moreover, stress, deformation and strain evaluations of connecting rod were also done and the results obtained are used as valuable reference in the optimization and improvement to the connecting rod design.

4 citations

Proceedings ArticleDOI
01 Jul 2017
TL;DR: This paper provides the information regarding the metal jobs failure which was detected earlier by using fuzzy logic and these parameters used in labVIEW for designing fuzzy logic inferential system.
Abstract: Metal jobs (connecting rods) are the one of the essential components of engine's design and also used in industry purpose. The Metal jobs must be able to withstand heavy loads and transmit a great deal of power, the failure of metal jobs leads to damaging engine and other equipment's. This paper provides the information regarding the metal jobs failure which was detected earlier by using fuzzy logic. The failure of metal jobs were predicted by applying different amount of tension on metal jobs which are made of different type of metals like aluminium, copper, steel etc. These different types of metal jobs have a different tensile strength and elongation property, if the applied tension is greater than tensile strength of the material then the metal jobs will break's. So here the tensile strength of the metal jobs were predicted earlier and this values were stored in database. Prediction of failure analysis is done with the help of Hall sensor (AH49E TO-92S) which will get the elongation parameter changes and these parameters used in labVIEW for designing fuzzy logic inferential system. This fuzzy logic will helpful for diagnosing and analysis. In this analysis the tension input values are given to labVIEW to know the break point of the metal jobs without testing. It will give the indication when the metal job is abort to break.

1 citations

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