High-Cycle Fatigue Behavior and Fatigue Strength Prediction of Differently Heat-Treated 35CrMo Steels

Yang, Mengqi; Gao, Chong; Pang, J.C.; Li, Shouxin; Hu, Dejiang; Li, Xiaowu; Zhang, Zhefeng

doi:10.3390/met12040688

Cited by 14 publications

(18 citation statements)

References 34 publications

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“…A similar relation can also be found in Wang et al 17 In other words, the high stress ratio leads to intensified damage in materials, which has been confirmed in the above characterization of fatigue fracture surfaces in 35CrMo steel at various stress ratios. (2) The M R values exhibit variations with the stress ratio for various materials. For instance, 35CrMo steel displays a higher M R value at R = 0.1 and lower M R values at high stress ratios.…”

Section: Establishment Of a Prediction Methods Based On Fatigue Damagementioning

confidence: 99%

“…For instance, the top bolt of the turbine in the storage power station is subjected to various loads during service conditions, and the external vibration can impact its performance. 1,2 Furthermore, prolonged service may result in fatigue failure of the bolt. Under the influence of the unstable operation, startup and shutdown processes of equipment, bolts are subjected to varying stress ratios.…”

Section: Introductionmentioning

confidence: 99%

“…Thereby, this brings three open questions: (1) Can the conventional models still be utilized for assessing the fatigue strength of various stress ratios in various environments? (2) What are the primary factors that impact the accurate representation of the conventional models? (3) Is it possible to establish a universal method for estimating fatigue strength under various stress ratios, even in extreme loading conditions?…”

Section: Introductionmentioning

confidence: 99%

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A new method for predicting the fatigue strength at various stress ratios based on damage of metallic materials

Gao,

Pang,

et al. 2024

Fatigue Fract Eng Mat Struct

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The prediction of fatigue strength for metallic materials in a wide range of stress ratios is a crucial engineering challenge. To pursue a more accurate method, the dependence of fatigue strength on stress ratio for 35CrMo steel and other materials was investigated in detail. It was found that as the stress ratio increases, the damage mechanism changes, and the errors of the conventional models in predicting the fatigue strength increase. The reason is that those models fail to describe the fatigue damage evolution of metallic materials under some special conditions. Based on the variational fatigue damage, a new prediction method was proposed by introducing the damage parameter. Through the validation with fatigue strength covering a variety of metallic materials and loading conditions, the method exhibits higher universality. And then the corresponding parameter of the formula is further analyzed to elucidate the influences of various loading conditions on fatigue damage of materials.

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Section: Establishment Of a Prediction Methods Based On Fatigue Damagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new method for predicting the fatigue strength at various stress ratios based on damage of metallic materials

Gao,

Pang,

et al. 2024

Fatigue Fract Eng Mat Struct

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“…7,8 Given the operating environment, medium-strength Cr-Mo steel alloys have been recommended in such industrial facilities. [9][10][11] Currently, P91 (9Cr1Mo) steel is widely utilized in various industrial sectors, where the working environment is a source of hydrogen and is subjected to fluctuating load. 12 So, it is necessary to study the fatigue response to evaluate the structural integrity of components fabricated from P91 steel and determine its fracture toughness.…”

Section: Introductionmentioning

confidence: 99%

The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

Bharati,

Maity,

Singh

et al. 2024

Fatigue Fract Eng Mat Struct

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This research investigates the fatigue crack evolution in P91 steel through experiments and extended finite element method (XFEM) simulation for as‐received and hydrogenated conditions. Hydrogen pre‐charging is performed using a constant current electrochemical method in 1 M sulfuric acid solution. The study compares the experimental fatigue crack growth rate (FCGR) of hydrogenated and as‐received conditions and employs an XFEM simulation to replicate FCGR. The results of the experiments reveal an increased FCGR in hydrogenated specimens. Fracture surface analysis confirms the co‐occurrence of the “hydrogen‐enhanced localized plasticity” (HELP) and “hydrogen‐enhanced decohesion” (HEDE) mechanism (HELP+HEDE, HEDE>HELP). The simulation results closely align with the experimental findings, validating the model's accuracy. Consequently, these findings are the basis for proposing a damage tolerance approach‐based numerical algorithm. This algorithm allows the prediction of component integrity by considering a known crack length. Furthermore, fracture toughness (KIQ) was experimentally evaluated to enhance the understanding of the material's mechanical properties.

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“…The reasons for the formation of these stresses are differences in the physical properties of the steel microstructures and impurity-forming phases. Other important factors are also the size and distribution of impurities in the volume of steel [ 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Scatter Index of Non-Metallic Inclusions in Structural Steel on the Fatigue Resistance Coefficient

Lipiński

2023

Materials

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One of the main parameters characterizing steel is tensile strength. Conducting actual research is time consuming and expensive. For this reason, the technique uses simplified methods that allow one to quickly estimate the resistance of the material to fatigue. They are conducted mainly by computer methods. For the proper development of programs to determine the fatigue parameters of steel, solid data preparation is necessary. Unfortunately, some studies are performed on materials produced in laboratory conditions, which is only an approximation of the actual production conditions. Real alloys contain natural impurities which can affect their properties. Therefore, it is important to use real results obtained on an industrial scale for analysis including computer simulations. One of the important parameters that can be used to describe the properties of steel is the scatter index. It is the quotient of the average distance between the pollution and the average size of the pollution. This parameter makes it possible to take into account the fatigue strength of steel, taking into account the size of impurities and the distance between these impurities. The paper attempted to determine the scatter index and its impact on the fatigue resistance coefficient for steel melted in an industrial 140 ton electric furnace. The tests were carried out on structural steel with an average carbon content of 0.26%. The steel was hardened and tempered in all temperature tempering ranges (low, medium, and high). The fatigue resistance coefficient in the scatter index function was determined and discussed for each of the applied heat treatment parameters.

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High-Cycle Fatigue Behavior and Fatigue Strength Prediction of Differently Heat-Treated 35CrMo Steels

Cited by 14 publications

References 34 publications

A new method for predicting the fatigue strength at various stress ratios based on damage of metallic materials

A new method for predicting the fatigue strength at various stress ratios based on damage of metallic materials

The fatigue crack growth behavior of hydrogenated 9Cr‐1Mo steel: An experimental and numerical study

Influence of the Scatter Index of Non-Metallic Inclusions in Structural Steel on the Fatigue Resistance Coefficient

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