A finite element analysis-computational fluid dynamics coupled analysis on thermal-mechanical fatigue of cylinder head of a turbo-charged diesel engine

Author(s):  
Xuwei Luo ◽  
Xiaochun Zeng ◽  
Pingping Zou ◽  
Yuxing Lin ◽  
Tao Wei ◽  
...  

A finite element analysis-computational fluid dynamics coupled analysis on the thermo-mechanical fatigue of cylinder head of a turbo-charged diesel engine was performed, and the complete simulation process is illustrated in this paper. In-cylinder combustion analysis and water jacket coolant flow analysis were conducted to provide heat transfer boundary conditions to the temperature field calculation of the cylinder head. Comparing with the conventional finite element analysis of cylinder head by which the heat transfer boundary conditions of the combustion and coolant sides are estimated, the present method coupled the three-dimensional combustion computational fluid dynamics and coolant computational fluid dynamics with the finite element analysis. Both computational fluid dynamics and finite element analysis obtain more accurate boundary conditions on their interface from each other, and thus, the present method improves accuracy of thermo-mechanical fatigue prediction. Based on the measured material performance parameters such as stress–strain curve under different temperatures and E–N curve, creep, and oxidation data material performance, the cylinder head–gasket–cylinder block finite element transient stress–strain field was calculated using ABAQUS. The thermo-mechanical fatigue analysis of cylinder head submodel was performed by using FEMFAT software that is based on the Sehitoglu model to predict the thermo-mechanical fatigue life of cylinder head. By comparing the measured and predicted temperatures of cylinder head, the temperature results showed a good agreement, and the error is less than 10%.

2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Dario Amirante ◽  
Nicholas J. Hills ◽  
Christopher J. Barnes

The optimization of heat transfer between fluid and metal plays a crucial role in gas turbine design. An accurate prediction of temperature for each metal component can help to minimize the coolant flow requirement, with a direct reduction of the corresponding loss in the thermodynamic cycle. Traditionally, in industry fluid and solid simulations are conducted separately. The prediction of metal stresses and temperatures, generally based on finite element analysis, requires the definition of a thermal model whose reliability is largely dependent on the validity of the boundary conditions prescribed on the solid surface. These boundary conditions are obtained from empirical correlations expressing local conditions as a function of working parameters of the entire system, with validation being supplied by engine testing. However, recent studies have demonstrated the benefits of employing coupling techniques, whereby computational fluid dynamics (CFD) is used to predict the heat flux from the air to the metal, and this is coupled to the thermal analysis predicting metal temperatures. This paper describes an extension of this coupling process, accounting for the thermo-mechanical distortion of the metal through the engine cycle. Two distinct codes, a finite element analysis (FEA) solver for thermo-mechanical analysis and a finite volume solver for CFD, are iteratively coupled to produce temperatures and deformations of the solid part through an engine cycle. At each time step, the CFD mesh is automatically adapted to the FEA prediction of the metal position using efficient spring analogy methods, ensuring the continuity of the coupled process. As an example of this methodology, the cavity flow in a turbine stator well is investigated. In this test case, there is a strong link between the thermo-mechanical distortion, governing the labyrinth seal clearance, and the amount of flow through the stator well, which determines the resulting heat transfer in the stator well. This feedback loop can only be resolved by including the thermo-mechanical distortion within the coupling process.


2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Meri Rahmi ◽  
Delffika Canra ◽  
Suliono Suliono

Valve (katup) sebagai salah satu produk industri, sangat dibutuhkan oleh perusahaan yang bergerak mengontrol aliran cairan untuk efisiensi. Kebutuhan tentang ini banyak digunakan oleh perusahaan makanan, obat-obatan, minuman, pembangkit listrik dan industri minyak dan gas. Tujuan penggunaan valve adalah untuk membatasi dan mengontrol cairan pada kondisi tekanan tinggi. Salah satu katup yang sering digunakan adalah ball valve, yaitu katup dengan tipe gerak memutar. Adanya permintaan ball valve ini, dibutuhkan produk dengan spesifikasi tertentu memiliki rancangan dengan tingkat kekuatan yang baik. Dengan kata lain, produk valve (katup) yang baik, harus memiliki kekuatan yang baik, aman dan sesuai dengan kebutuhan dilakukan pengujian. Penelitian ini bertujuan untuk melakukan analisis terhadap ball valve 4 inch ANSI 300 untuk memastikan katup yang diproduksi sesuai spesifikasi, kuat dan tahan terhadap tekanan fluida. Metode yang digunakan adalah Finite Element Analysis (FEA) dengan software Solidworks. Analisis dilakukan pada ball valve 4 inch ANSI 300 dengan keadaan full open, hall open dan full closed serta dengan pembebanan 725 psi dan 1087.5 psi hasil dari Computational Fluid Dynamics (CFD). Analisis dilakukan pada temperatur -29.50C, 250C dan 4250C. Berdasarkan hasil analisis dengan FEA, dinyatakan bahwa ball valve 4 inch ANSI 300 kuat dan aman untuk digunakan. Nilai faktor keamanan (safety factor), signifikan lebih tinggi dari nilai safety factor minimum yang diizinkan.


2002 ◽  
Vol 30 (3) ◽  
pp. 198-212 ◽  
Author(s):  
T. Rooney ◽  
J. Satrape ◽  
S. Liu

Abstract All terrain vehicles (ATV) travel on every imaginable type of surface — from hard pack trails to muddy swamps. ATV tires must provide customer with acceptable ride and handling performance, and they must also generate extremely good wet traction characteristics in order to pull the vehicle through the tough stuff. This paper looks at a design tool that is routinely used to achieve one of these goals — optimum mud (wet) traction performance. Techniques described in this study evaluate the self-cleaning ability of tread patterns. Smooth tires were modeled at typical vehicle loads and inflation pressures using finite element analysis. Footprint shapes and pressure distributions were taken from the analysis and used as input into the flow model. Mud was modeled as a highly viscous, Newtonian fluid and forced through the tread pattern. Flow velocities and pressures were computed using computational fluid dynamics and these responses were used to generate an overall measure of the cleaning efficiency of the tread. By visualizing the results, potential “clog” areas were identified and the tread pattern modified to improve flow.


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