Methods of evaluating mechanical fatigue described herein may be used in the maintenance and evaluation of a wide variety of mechanical components. Certain methods disclosed herein may be used to evaluate the useful life of components without destructive testing.
As described herein, Ak indicates thermodynamic forces associated with internal variables, {dot over (Q)}gen indicates a rate of heat generation (J/s), a indicates specimen thickness, {dot over (Q)} in indicates heat rate entering control volume (J/s), b indicates the width of specimen (m), {dot over (Q)}out indicates heat rate exiting control volume (J/s), cp indicates specific heat capacity (J/kgK), {dot over (S)}i indicates entropy production rate (J/m3K), deS indicates entropy flow (J/K), T indicates absolute temperature (K), diS indicates internal entropy generation (J/K), T0 indicates absolute ambient temperature (K), dS indicates entropy change (J/K), Ts indicates absolute surface temperature (K), E indicates elastic modulus (GPa), tf indicates time to failure (s), EF indicates fermi energy level (J), t* indicates time at which cooling begins (s), f indicates frequency (Hz), U indicates electric potential difference (Volt), F12 indicates radiation view factor, {dot over (U)} indicates rate of internal energy change (J/s), FFE indicates fracture fatigue entropy (MJ/m3K), V indicates control volume (m3), h indicates convection coefficient (W/m2K), {dot over (v)}k indicates internal variables, I indicates current (Amp), {dot over (w)}p indicates plastic work dissipation (J/sm3), k indicates thermal conductivity (W/mk), W indicates specimen thickness (m), Nf indicates number of cycles to failure, {dot over (W)} indicates work done on the system per second (J/s), P indicates power consumed by coil (W), δ indicates displacement of bending test (m), qcd indicates conductive heat transfer (J), {dot over (ε)}p indicates plastic strain rate (1/s), qcv indicates convective heat transfer (J), θ indicates temperature rise θ=T−T0, q″ indicates heat flux (W/m2), ρ indicates density (kg/m3), Q indicates thermal current (J/s), σ indicates stress (MPa), and {dot over (Q)} indicates rate of heat transfer from system (J/s).
Fatigue may drastically limit the life of machinery and result in catastrophic failure without warning. Fatigue may be categorized by a stress-based approach, a strain-based approach, and energy-based methods.
Methods described herein include evaluating the energy dissipation of the fatigue process based on heating the specimen by means of an external heating coil. The methods include details relating to the generated steady-state surface temperature and its use to predict fatigue life. As described herein, steady-state temperature profiles generated by an external heating source can be used to mimic the response of the material to the cyclic loading of a fatigue test.
A specimen's surface temperature was monitored via an infra-red camera and the results for three different stress levels σ1, σ2, and σ3 are shown in
A bending test specimen as depicted in
The second law of thermodynamics predicts that the change in the system's entropy, due to change of state, is greater or equal to the heating rate divided by temperature.
This inequality can be written as an entropy balance equation by adding an extra term of diS, which denotes internal entropy generation.
is replaced with deS, to derive Eq. 3. deS is referred to as entropy flow. The Clausius-Duhem inequality provides the following expression for characterizing the entropy generation.
The stress tensor and plastic strain rate are shown by σ and {dot over (ε)}p, respectively. vk are the internal variables and their associated conjugate thermodynamic forces denoted by Ak. q is the heat flux and T is the absolute temperature. In many metals, the term Ak{dot over (v)}k is relatively small and entropy generation due to heat production,
gradT, has been shown to be negligible. The plastic deformation term
may be considered dominant in low-cycle fatigue. With these considerations, the entropy generation Eq. 4 simplifies considerably to the following.
where {dot over (w)}p=σ:{dot over (ε)}p represents the heat generation per unit volume.
The accumulated entropy from the start of the cyclic actuation t=t0 to the onset of fracture, when t=tf is:
where FFE is the so-called fracture fatigue entropy.
FFE is a material parameter, independent of the type of loading or specimen geometry, and remains roughly the same for elevated environmental temperatures up to 200° C. If FFE is known, then the number of cycles to failure can be estimated. The following equation gives the relation between the number of cycles to failure and the fracture fatigue entropy.
Thus, if {dot over (w)}p and Ts are known, Eq. 7 can be used to estimate Nf. However, determining the rate at which energy is dissipated from the specimen during fatigue is a challenge in the energy-based approaches.
In what follows, two methods for evaluating {dot over (w)}p are discussed. One is based on the so-called Rθ method, which provides a relationship between the slope of the measured temperature rise at the beginning of the fatigue test and {dot over (w)}p. The other experimentally determined {dot over (w)}p based on the cooling characteristics of the specimen after attaining steady-state.
Evaluation may be done on a control volume which may be the narrow portion of the specimen depicted in
where Scv, Scd and Srd represent the surface areas through which convection, conduction and radiation take place. The first three terms on the right-hand side of Eq. 8 give the dissipated heat from the control volume through conduction, convection, and radiation, and the last term is the variation of internal energy. β stands for the Stephan-Boltzmann constant and e is the emissivity. c is the specific heat capacity and p is the density of the material. T0 is the ambient temperature, h is the convective heat transfer coefficient, and f is frequency.
If the specimen is assumed to have a uniform cross-section in the gauge section, Eq. 8 can be written as
where θ=T−T0, l is the length of the specimen, k represents the thermal conductivity, and m2=(h+4eγTα3)p/Ak. The cross-sectional area is denoted by A and p is the perimeter of the cross-section area.
The boundary conditions assumed are zero temperature rise at the two ends of the specimen, θ(z=0, t)=θ(z=l, t)=0, and zero temperature rise at the beginning of the test θ(z, t=0)=0. The solution to Eq. 9 is:
It is possible to find the derivative of temperature rise at the beginning of the loading in the center of the specimen,
Eq. 11 can be solved for {dot over (w)}p which gives:
Now, consider the time t=t′ when the steady-state prevails and external actuation is suddenly interrupted. Right after stopping the test, there would be no heat generation source in the material, and the specimen starts to cool down. The temperature distribution along the specimen's length just before stopping the test is given as θe(z).
Solving Eq. 9 with boundary conditions θ(z=0, t)=θ(z=l,t)=0 and θ(z,t=0)=θe(z) yields:
The cooling curve slope for z=l/2 at time t=t* is:
The energy production rate may be evaluated by externally heating a stationary specimen to simulate the equivalent steady-state temperature profile of a cyclically loaded specimen. The relation between the power of the external heat source and the induced temperature on the specimen may be used to find the energy dissipation rate when the heat generation source term is acting within the specimen, i.e. {dot over (w)}p.
Consider a simple geometry of a flat rectangular bar. A two-dimensional solution of the heat conduction equation with an internal heat generation {dot over (w)}p (per volume per second) with both ends maintained at ambient temperature is given by Eq. 15. Example Set B describes the relevant derivation.
where l and a are the length and thickness of the bar, respectively, x is the longitudinal coordinate on the specimen, and z is the coordinate in the thickness direction. h stands for convection heat transfer coefficient, and k is the thermal conductivity.
The solution of the heat conduction equation for the same geometry exposed to an external heat flux q″ from below, but without an internal heat generation is:
The maximum temperature in both cases occurs at the mid-section of the specimen (x=l/2 and z=a/2). To have the same maximum temperature, the value of 0 from Eq. 15 and Eq. 17 is equated at z=a/2. Eq. 19 shows the ratio of the heat flux q″ to {dot over (w)}p that must hold.
To gain insight into how external heating instead of volumetric heat generation affects the surface temperature, let us consider a rectangular bar with a length of l=5 cm and thickness of a=3 mm. Assuming h=20 W/mK and k=54 W/m2K, using Eq. 19, we obtain
To illustrate, let us assume that volumetric heat generation is {dot over (w)}p=2 MJ/m3s. This means that a heat flux of magnitude q″=6032 W/m3 must be externally supplied to have the same maximum temperature rise compared to a bar with heat generation 2 MJ/m3s. The profiles of temperature rise along the length of the specimen in both cases are shown in
In both equations 8 and 10, it is assumed that the air around the specimen has the same convective heat transfer coefficient. This assumption is valid for the cases where the heat generation within the material is responsible for the elevation of temperature, which is the case of fatigue tests. However, when the specimen is heated from one side, the air temperature is not the same on the top and bottom sides of the specimen. To investigate, the governing equation is solved with a convention coefficient h1 on the top surface and h2 on the bottom. The following relation, also shown in
To evaluate the error of replacing a heat source for generating correspondent surface temperature, we define
where e is the difference between the temperature of the top and bottom surface of the specimen when the temperature is elevated by heat flux divided by the value of bottom surface temperature. Table 1 shows the percent of error e for different lengths of the bar, l=0.05 m, 0.5 m and 1 m with different a/l ratios. Referring to Table 1, Assuming that h2=20 W/m2K, the relative error e increases with the ratio a/l. It can be seen that for a/l<0.1, the error is less than 8%, even when the specimen length is 1 m long. The error increases with the length of the specimen and the ratio a/l; however, when the length l is below 0.1 and a/l<0.01 (which applies to the length and thickness to length ratio of specimen used in the present study), the error is less than one percent. Table 1 shows errors of top surface temperature estimation for θmax=1 K.
The specimens used for bending tests were made of LCS 1018 sheets cut by a water jet. All the test specimens were polished with sand papers, starting from grade 220 followed by 400, 600, and 1200 grits. The thickness of the test specimen was 3 mm.
An LFE-150 bending fatigue test machine from Fatigue Dynamics, Michigan was used to perform fully reversed bending tests. The bending force is applied to the specimen through a reciprocating platen. The reciprocating movement is provided by a crank rotated by a variable speed motor as depicted in
To measure the temperature of the specimen, a FLIR A615 infrared camera is used. The resolution is maximum at 640×480 pixels and accuracy is 50 mK. The camera is mounted on a platform at a distance of 20 cm from the surface of the specimen so that it can view the entire gauge length.
The external heat source is a heating coil made of a resistance wire mounted on a three-directional positioning stage as depicted in
For each displacement level δ, the steady-state temperature profile on the surface in the gauge section is captured. To produce the same temperature profile on the surface with the external heating source, the coil is moved in the x-direction while its axis is kept parallel to the axis of the centerline of the specimen. The distance between the coil and the bottom surface of the specimen is constant (position in the z-direction). It is only necessary to determine the proper location of the coil for one displacement level, δ. Subsequently, the settings will remain unchanged for all other displacement levels. Hence, each temperature profile for different displacement levels is produced by only changing the voltage of the power supply.
Once the DC electric current passes through the heating coil wire, heat is emitted from the coil to the surrounding environment. A portion of this heat is absorbed by the specimen and the rest is dissipated to the environment. The ratio of heat transferred to the specimen from the coil is given by F12. The induced heat generation term from the coil is given by:
where U is the electric potential difference of the two ends of connection wires on the heating coil, and I is the electric current. V stands for the volume of specimen generating heat. F12 represents the radiation view factor between the coil and the specimen. The ratio
is replaced by β, and the power is P=U I.
Using Eq. 7 one can find the number of cycles to failure as
and by substituting βP for {dot over (w)}p from Eq. 21, the fatigue life is determined using Eq. 22.
To find Nf, the parameter β must be determined. For a given specimen, only one test is needed to determine β since it can be assumed that its value remains constant for different displacement amplitudes.
The maximum surface temperature evolution is depicted in
The coil voltage, current, and the supply power needed to replicate the surface temperature profile of fatigue are given in Table 4 for different displacement levels. As expected, power increases with displacement level. Table 4 shows coil voltage, current, and power for tests with different displacement levels.
Test number 6 is used for the purpose of illustrating how the value of β is determined. The fatigue life, Nf, for Test 6 is 38,600 cycles. The FFE for LCS 1018 is reported to be 23 MJ m−3K−1. So, β is found to be 14.72×104 m−3. The value of β is determined by completing one test since Nf is needed to calculate B.
Now, suppose that we need to find the fatigue life of a component and that there is no chance of running a test up to failure. To solve this problem, the following method is used to determine β based on the cooling curve slope method proposed by Ricotta et al. See M. Ricotta, G. Meneghetti, B. Atzori, G. Risitano, and A. Risitano, “Comparison of experimental thermal methods for the fatigue limit evaluation of a stainless steel,” J Metals Materials International, vol. 9, no. 6, p. 677, 2019.
The initial temperature rise slope is also shown in
Using Eq. 23 in Eq. 21, one can find Eq. 25.
The parameter β found from Eq. 25 using
As it is seen in Table 3, the value of β changes only slightly from this value for different tests. This implies that if β is found for one displacement level, it can be used for other values of displacement with small error.
Fatigue limit or endurance limit is conventionally defined as the stress below which the material can ideally undergo an infinite number of cycles without failure. Below the fatigue limit, the level of stress is less than what is needed for crack propagation, and, therefore, the specimen is not damaged. Research shows, however, that even at stresses below the fatigue limit, the specimen temperature can experience a small rise in temperature. In other words, when a material is subjected to cyclic loading, the heat generation as the result of plastic dissipation increases the temperature of the material. Heat generation is the result of reversible and irreversible phenomena in the material. The irreversible plastic dissipation in metallic structures is the reason for crack initiation and its subsequent propagation. The rest of the spent energy is dissipated as heat to the environment. This means that only a portion of the total dissipation energy spent on cyclic loading is accumulated in the form of internal energy, and this portion is responsible for damage and failure. According to damage accumulation theory, cyclic loading is responsible for the accumulation of micro cracks and microplastic deformation. The reason for this accumulative damage is the irreversibility of these dissipative processes. Referred to as internal friction, the non-damaging portion of energy dissipation should be properly accounted for since it does not participate in degrading the material. There are several reversible phenomena that take part in internal friction, including oscillation of dislocations, atoms that are caused by local defects in the lattice, or by the movement of dislocations. Since the energy dissipated below the endurance limit of fatigue is due to internal friction, this non-damaging dissipation has no role in degradation during fatigue. Non-damaging temperature evolution needs to be subtracted from the computation of thermal dissipation to obtain a realistic value of the fracture fatigue entropy.
Examination of the results of
The presence of temperature rise even before the fatigue limit shows the applicability of the thermography approach for high-cycles fatigue. This is the non-damaging thermal manifestation of the fatigue process, which shows the effect of other mechanisms involved in thermal dissipation, including internal friction. Accordingly, a portion in the measured coil electric consumption pertaining to the non-damaging energy dissipation should be subtracted from the total measured coil power consumption.
Let P* denote the non-damaging portion of the power consumed by the heating coil. To find P*, The temperature profile on the surface of the specimen is captured with the displacement level corresponding to the fatigue limit. P* is the value of power consumption of heating coil to replicate the same profile of temperature as the one captured in steady-state phase of test at the fatigue limit. The sensitivity of the IR camera enables us to measure relatively small temperature rises even below the fatigue limit. This is seen in
The measured value of P* for inducing temperature profile of
Since the temperature rise for the stress level of fatigue limit is needed to find P*, a number of quick tests are needed to determine the surface temperature profile for that stress level. For this purpose, Rθ is measured for the tests starting from small displacement levels and a change in the variation trend of Rθ is evaluated.
Based on the flowchart shown in
To illustrate the efficacy of the present model, suppose that the fatigue life of a specimen subjected to a displacement of δ=3.50 mm needs to be predicted. The predicted fatigue life based on
The voltage of the coil was 4.91V, the current was 2.12 A, β=14.46×104 m−3, and P*=1.73 W. The measured fatigue life was found to be 138,000 cycles, which is less than 3% error.
Based on the experiments conducted, an external heating source may be utilized to induce a surface temperature profile on a stationary specimen akin to what a specimen experiences under cyclic loading. The energy generation term is found by measuring the energy consumption of the external heating source. Then, by applying the concept of fracture fatigue entropy, FFE, one can easily predict fatigue life. The rate of temperature drop after stopping the fatigue test is equal to the rate of temperature drop after removing the external heater if the surface profiles are the same for the fatigue test and an externally heated specimen. The electrical power consumption of the external heat source for inducing the surface temperature profile can be used as a parameter to predict the plastic energy dissipation from a specimen under fatigue. There is a linear relationship between the electric power consumption of the heating coil and the dissipated energy for different tests with different stress levels. The power consumption of the external heating source to generate the temperature profile of the steady-state phase of fatigue varies in two distinct regions with respect to the bending displacement level and, consequently, the stress. According to the analytical solution of heat transfer in a rectangular beam, if the length of a bar is less than 0.5 m and the ratio of thickness to the length of the bar is below 0.01, the error related to the temperature recorded using external heating is less than 1 percent compared to the case when the bar is self-heated during the fatigue cycling.
This approach of utilizing an external heat source provides an opportunity to determine the fatigue life of a running test without stopping the operation. This means that the life of a mechanical component under fatigue loading can be found in two steps: first, the temperature distribution on the surface of the component under fatigue is captured. Next, the same temperature distribution is induced on the stationary specimen but with identical boundary conditions such as the same connections to the machine and same environment temperature. The predicted life from the present approach that examines the life by heating a stationary specimen is found to be in good agreement with actual fatigue tests where the specimen is cyclically actuated. Further, it is shown that the present approach can be used to determine the fatigue limit of a specimen by examining the power-displacement graph.
The 2D heat transfer equation is:
where θ is temperature rise, i.e. 0=T−T0.
Using the separation of variables approach, one arrives at the following solution for the temperature distribution.
Applying boundary condition at the two ends θ|x=0=θ|x=l=0 gives Bn=En=0.
Cn and Dn are constants. Dn is found by applying boundary conditions
on the top surface. Only a single heat transfer coefficient is used. The result is:
The second boundary condition on the bottom surface is
Rewriting and using Fourier series
instead of constant—q″/h gives:
The 2D heat transfer equation is:
where θ is temperature rise, i.e. θ=T−T0.
Using the separation of variables approach, one arrives at the following solution for the temperature distribution.
Applying boundary condition at the two ends θ|x=0=θ|x=l=0 gives Bn=En=0.
Cn and Dn are constants. Dn is found by applying boundary conditions
for the top surface. The result is:
The second boundary condition on the bottom surface is
Rewriting and using Fourier series
instead of constant −q″/h2 gives:
The 2D heat transfer equation with heat generation is given as:
The homogeneous solution subjected to ends θ|x=0=θx=l=0 boundary conditions is:
Because of symmetry condition, heat flux is zero at z=0, which means
This gives:
The particular solution for Eq. B.6 is:
The total solution is found as the summation of the homogenous and particular solution.
Cn is found by applying the boundary condition
and replacing
with its sinusoidal Fourier series
The result is:
Now suppose that we have done a test at f1 at stress level 1 for N1 cycles. How many more cycles can be run if the stress and frequency level are changed to different values. From Eq. 26,
The new frequency is f2. The surface temperature changes to Ts2 and heater power in new condition is found as P2. The power related to non-damaging temperature rise is P*2.
Knowing FFE and the entire first term on the right-hand side allows calculating the second term on the right hand side. The second term requires an experiment to determine Ts2 and P2. Then we can solve for N2, the number of cycles expected before failure becomes imminent.
This implies that, in general, the portion of spent entropy exhausted by each given stress and frequency is given by:
If two sides of Eq. C.1 are divided by FFE we find
The percentage of life spent for each load and frequency condition is
For a system with several loading cycles at different loads and frequencies (i.e., a duty cycle), Eq. C.1 can be expanded in terms of the load and frequency conditions as follows.
The remaining useful life can be evaluated at any stage as described above.
And with the same explanation given for Eq. C.2, we have,
Heating elements used in embodiments described herein may be configured as adjustable heating elements such that the length of the heating element may be altered by moving an electrical contact along the length of the heating element such that a variable portion of the heating element is in the circuit. Further, specimens and mechanical components having more complicated geometries may be matched with heating elements configured to match the temperature profiles experienced during mechanical fatigue. This may be accomplished by flexible configurations of heating elements or groupings of heating elements. The collection, modification, combination, grouping, or configuration of heating elements for use in techniques based on the disclosures herein are application specific and too numerous to completely describe.
Evaluation methods described herein may, for example, comprise conducting a first cyclic mechanical test of a component thereby establishing a relationship between a measure of actuation during the first cyclic mechanical test and a first temperature profile of the component; conducting a first external heating test comprising externally heating the component generating a second temperature profile matching the first temperature profile; and estimating a fatigue lifespan of the component based on an observed surface temperature and an observed external heating power. In a related embodiment the measure of actuation may be a measure of stress. In a related embodiment the measure of actuation may be a measure of strain. In a related embodiment the measure of actuation may be a measure of displacement. In a related embodiment the component may be subjected to compression during the first cyclic mechanical test. In a related embodiment the component may be subjected to bending during the first cyclic mechanical test. In a related embodiment the component may be subjected to tension during the first cyclic mechanical test. In a related embodiment the component may be subjected to shear loading during the first cyclic mechanical test. In a related embodiment the component may be subjected to torsion during the first cyclic mechanical test. In a related embodiment the component may be subjected to compression during the first cyclic mechanical test. In a related embodiment the first cyclic mechanical test may expose the component to a level of fatigue exceeding an endurance limit of the component. In a related embodiment the method may further comprise evaluating an energy dissipation rate based on a cooling test on the component. In a related embodiment the method may further comprise evaluating an initial slope of temperature rise at an onset of mechanical fatigue of the component. In a related embodiment a first portion of the observed external heating power corresponds to a damaging portion of power applied in the first cyclic mechanical test. In a related embodiment the method may further comprise a second cyclic mechanical test on the component conducted at a different fatigue amplitude. In a related embodiment the observed surface temperature may be a steady-state temperature.
Evaluation methods described herein may, for example, comprise conducting a first cyclic mechanical test of a component thereby establishing a relationship between a measure of actuation during the first cyclic mechanical test and a first temperature profile of the component; conducting a first external heating test comprising externally heating the component generating a second temperature profile matching the first temperature profile; and estimating a fatigue lifespan of the component based on an observed surface temperature and an observed external heating power according to the equation:
In a related embodiment the method may further comprise evaluating an energy dissipation rate based on a cooling test on the component. In a related embodiment the method may further comprise evaluating an initial slope of temperature rise at an onset of mechanical fatigue of the component. In a related embodiment the measure of actuation may be a measure of displacement.
Evaluation methods described herein may, for example, be used in the accelerated testing and the rapid testing of prototypes, manufactured components, and components that are used in unique service conditions. The methods may be of particular utility in the assessment of 3D printed components and other components having a lower structural uniformity. Items subjected to cyclic mechanical fatigue in which the item-to-item service life varies by more than 20% may be evaluated using these methods. The techniques described herein may be applied to windmill components, various oil and gas components, and many other industrial applications. The methods may also be applied to unique service conditions including conditions in which components undergo multi-axial loading. Applications of this method may involve rotating bending motions during the first cyclic mechanical test.
The above-described embodiments have a number of independently useful individual features that have particular utility when used in combination with one another including combinations of features from embodiments described separately. There are, of course, other alternate embodiments which are obvious from the foregoing descriptions, which are intended to be included within the scope of the present application.
This application claims the benefit of U.S. provisional application No. 63/185,215 filed on May 6, 2021 and entitled FATIGUE ASSESSMENT.
Filing Document | Filing Date | Country | Kind |
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PCT/US22/72176 | 5/6/2022 | WO |
Number | Date | Country | |
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63185215 | May 2021 | US |