Experimental and numerical study of inelastic behavior based on simulated cylinder head specimen under thermal cycling conditions

Zhang, Huabing; Liang, Gang; Qiao, Xinqi; Lyu, Zhao; Li, Liting; Zhang, Guoyong; Cui, Yi

doi:10.1007/s40430-022-03652-2

Cited by 4 publications

(4 citation statements)

References 29 publications

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“…Zhang et al [15] simulated a thermal cycling test of a marine engine cylinder head to evaluate the stress under start-stop cycle conditions. Figure 3 shows the stress distribution of the first cycle.…”

Section: Thermomechanical Fatigue In Cylinder Head and Engine Blockmentioning

confidence: 99%

Recent Progress in Creep-Resistant Aluminum Alloys for Diesel Engine Applications: A Review

Arriaga-Benitez,

Pekguleryuz

2024

Materials

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Diesel engines in heavy-duty vehicles are predicted to maintain a stable presence in the future due to the difficulty of electrifying heavy trucks, mine equipment, and railway cars. This trend encourages the effort to develop new aluminum alloy systems with improved performance at diesel engine conditions of elevated temperature and stress combinations to reduce vehicle weight and, consequently, CO2 emissions. Aluminum alloys need to provide adequate creep resistance at ~300 °C and room-temperature tensile properties better than the current commercial aluminum alloys used for powertrain applications. The studies for improving creep resistance for aluminum casting alloys indicate that their high-temperature stability depends on the formation of high-density uniform dispersoids with low solid solubility and low diffusivity in aluminum. This review summarizes three generations of diesel engine aluminum alloys and focuses on recent work on the third-generation dispersoid-strengthened alloys. Additionally, new trends in developing creep resistance through the development of alloy systems other than Al-Si-based alloys, the optimization of manufacturing processes, and the use of thermal barrier coatings and composites are discussed. New progress on concepts regarding the thermal stability of rapidly solidified and nano-structured alloys and on creep-resistant alloy design via machine learning-based algorithms is also presented.

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Section: Thermomechanical Fatigue In Cylinder Head and Engine Blockmentioning

confidence: 99%

Recent Progress in Creep-Resistant Aluminum Alloys for Diesel Engine Applications: A Review

Arriaga-Benitez,

Pekguleryuz

2024

Materials

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“…[1][2][3][4][5] Piston as a key component experiences serious cyclic thermal loads under alternating conditions of diesel engines; thermal fatigue is an important cause of piston failure. [6][7][8][9][10][11] Therefore, it is an important work for guaranteeing the reliability of diesel engines to investigate the thermal fatigue of piston.…”

Section: Introductionmentioning

confidence: 99%

“…Diesel engines have been extensively used in the fields of automobile, ship, and construction machinery due to their high thermal efficiency 1–5 . Piston as a key component experiences serious cyclic thermal loads under alternating conditions of diesel engines; thermal fatigue is an important cause of piston failure 6–11 . Therefore, it is an important work for guaranteeing the reliability of diesel engines to investigate the thermal fatigue of piston.…”

Section: Introductionmentioning

confidence: 99%

Experiment and numerical simulation study of thermal fatigue of an aluminum alloy piston

Li,

Zhu,

Xiong

et al. 2023

Fatigue Fract Eng Mat Struct

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In this study, a magneto‐thermo‐structural coupling finite element method was proposed to calculate the electromagnetic field, temperature field, stress field, and strain field of an aluminum alloy piston during thermal shock process. The computed temperature results at the measurement points of T3 and T4 agree well with the measured data. The concept of tensile strain energy density was proposed as a thermal fatigue damage parameter, and the thermal fatigue life of the piston was predicted on the basis of the calculated results by magneto‐thermo‐structural coupling analysis and tensile strain energy density‐life equation; the discrepancy between the predicted life and the experimental one is 16%. The thermal fatigue failure mechanism of the piston was also clarified. High cyclic stresses occur on the edge of Si due to the difference in thermal expansion coefficient of Al and Si; micro cracks first originate on the edge of Si, then grow through combining other micro cracks, and eventually form macro cracks.

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“…The high efficiency heat transfer model is used by Zhang et al [6] to analyze the direct relationship between cylinder head fatigue life and average gas temperature. In addition, Chaboche model is established to analyze the local deformation and leakage of cylinder head under thermal cycle test [7]. The failure of the ship's exhaust valve was investigated and analyzed by EI-Bitar et al [8], and it is determined that the high temperature environment would lead to the expansion of microcracks and easy fracture.…”

Section: Introductionmentioning

confidence: 99%

Heat Load Forecasting of Marine Diesel Engine Based on Long Short-Term Memory Network

et al. 2023

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High heat load on diesel engines is a main cause of ship failure, which can lead to ship downtime and pose a risk to personal safety and the environment. As such, predictive detection and maintenance measures are highly important. During the operation of marine diesel engines, operating data present strong dynamic, time lag, and nonlinear characteristics, and traditional models and prediction methods cause difficulties in accurately predicting the heat load. Therefore, the prediction of its heat load is a challenging and significant task. The continuously developing machine learning technology provides methods and ideas for intelligent detection and diagnosis maintenance. The prediction of diesel engine exhaust temperature using long short-term memory network (LSTM) is analyzed in this study to determine the diesel engine heat load and introduce an effective method. Spearman correlation coefficient method with the addition of artificial experience is utilized for feature selection to obtain the optimal input for the LSTM model. The model is applied to validate the ship data of the Shanghai Fuhai ship, and results show that the mean absolute percentage error (MAPE) of the model is lowest at 0.089. Compared with other models, the constructed prediction model presents higher accuracy and stability, as well as an optimal evaluation index. A new idea is thus provided for combining artificial knowledge experience with data-driven applications in engineering practice.

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Experimental and numerical study of inelastic behavior based on simulated cylinder head specimen under thermal cycling conditions

Cited by 4 publications

References 29 publications

Recent Progress in Creep-Resistant Aluminum Alloys for Diesel Engine Applications: A Review

Recent Progress in Creep-Resistant Aluminum Alloys for Diesel Engine Applications: A Review

Experiment and numerical simulation study of thermal fatigue of an aluminum alloy piston

Heat Load Forecasting of Marine Diesel Engine Based on Long Short-Term Memory Network

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