Reliability study for diesel engine cylinder head through fatigue failure analysis and structural optimization

Jing, Guoxi; Lyu, Zhenguo; Liu, Yipeng; Xiao, Sen; Zhou, Haaitao; Li, Shubo

doi:10.1016/j.engfailanal.2022.106768

Cited by 12 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…29 The surrogate modeling technique-which employs simplified mathematical models as substitutes for high-fidelity models-has been widely applied in research on uncertainty in multiaxial fatigue life. [30][31][32][33] Jing et al 34 considered the uncertainties of material and load and utilized a back propagation neural network model to replace FEA in evaluations of the fatigue reliability of a cylinder head. Gao et al 35 introduced a probabilistic method based on a substructure Kriging surrogate model to predict combined high and low cycle fatigue life of gas turbine blades.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic life prediction framework for vibration fatigue of turbine blade based on refined polynomial chaos expansion

Fang,

Liu,

et al. 2024

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

Vibration fatigue is a typical form of multiaxial fatigue. In this study, initial vibration fatigue tests were conducted on rocket turbine blades, and significant dispersion in fatigue life was found. Consistent with this finding, a novel probabilistic life prediction framework was proposed. This framework integrates sensitivity analysis and sequential sampling technology and introduces polynomial chaos expansion as a computationally efficient alternative to finite element analysis. And a continuous mechanics‐based damage evolution model was employed to examine the vibration fatigue life of turbine blades. The findings validate the effectiveness of the framework, as no significant difference was found between the experimental results and simulated predictions at the 95% confidence level. Furthermore, comparison with the Monte Carlo simulation indicated that this framework achieves comparable prediction accuracy, while significantly reducing the required samples by 2 orders of magnitude, which effectively addresses the fatigue problem of small sample data. This framework enables rapid and accurate multiaxial fatigue probabilistic life prediction, which holds important implications for the reliability design of reusable spacecraft.

show abstract

Section: Introductionmentioning

confidence: 99%

A probabilistic life prediction framework for vibration fatigue of turbine blade based on refined polynomial chaos expansion

Fang,

Liu,

et al. 2024

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…In [10] at first the S-N curve of the material was achieved both numerically and experimentally, then a coupled thermostructural simulation of an ICE head was carried to assess the fatigue life using ANSYS Workbench. A probabilistic approach based on neural networks is shown in [11].…”

Section: Introductionmentioning

confidence: 99%

“…To overcome these challenges, advanced simulation techniques that not only integrate thermal and structural analysis, but also optimisation methods, have become essential tools for engineers. While several approaches to structural optimisation exist, such as the one shown in [12] for the cylinder head, reliying on trial and error is not the most efficient approach especially when dealing with multiphisics shape optimizations such as the one under consideration. One possibility is to use a parameterisation technique, in which several shape variations are defined and blended in order to obtain multiple design points (DP).…”

Section: Introductionmentioning

confidence: 99%

Stress mitigation of a thermal engine head block using the bioinspired BGM-FEM method

Groth,

Marra,

Porziani

et al. 2024

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Structural optimization plays a pivotal role in the design and development of engine heads, as it directly affects the performance, efficiency, and durability of internal combustion engines. In this paper, we propose a novel approach for the thermo-structural optimization of the internal surfaces of the engine heads, using the Biological Growth Method (BGM). The BGM is a bio-inspired technique that mimics the growth patterns observed in some biological organisms, able to achieve superior structural efficiency thus generating optimal designs. The effectiveness of the BGM methodology, coupled with mesh morphing techniques based on Radial Basis Functions (RBF), is in this work demonstrated for several districts, effectively reducing material usage and enhancing structural performance.

show abstract

“…In this sense, uncertain fatigue analyses have been conducted to reflect this lack of information and how they impact the system response quantities (SRQs) involved in all T calculation levels. These types of analyses are mainly performed in problems related to reliability analysis, as can be checked in [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Multi-level Uncertain Fatigue Analysis of a Truss under Incomplete Available Information

Nonato

2023

Frattura Ed Integrità Strutturale

View full text Add to dashboard Cite

We predict the fatigue life of a planar tubular truss when geometrical parameters, material properties, and live loads are non-deterministic. A multi-level calculation uncertainty quantification framework code was designed to aggregate the finite element method and fatigue-induced sequential failures. Due to the incompleteness of the aleatory-type inputs, the maximum entropy principle was applied. Two sensitivity analyses were performed to report the most influencing factors. In terms of variance, the results suggest that the slope of the curve crack growth rate × stress intensity factor range is the most influencing factor related to fatigue life. Furthermore, due to the application of the entropy concept, the fatigue crack growth boundaries and fatigue crack size boundaries obtained provide the most unbiased fatigue crack design mapping. These boundaries allow the designer to select the worst-case fatigue scenario, besides being able to predict the crack behavior at a required confidence level.

show abstract

Reliability study for diesel engine cylinder head through fatigue failure analysis and structural optimization

Cited by 12 publications

References 28 publications

A probabilistic life prediction framework for vibration fatigue of turbine blade based on refined polynomial chaos expansion

A probabilistic life prediction framework for vibration fatigue of turbine blade based on refined polynomial chaos expansion

Stress mitigation of a thermal engine head block using the bioinspired BGM-FEM method

Multi-level Uncertain Fatigue Analysis of a Truss under Incomplete Available Information

Contact Info

Product

Resources

About