Correction Factors In Order Research Articles

A four unknown non-polynomial theory for the free vibration of angle-ply plates

This research evaluates a non-polynomial type plate theory with four unknowns for the frequency analysis of angle-ply laminated plates. By incorporating exponential functions in terms thickness coordinates, this theory does not need correction factor in order to account for shear deformation effects. A significant advancement of this theory is its ability to satisfy zero shear conditions at the top and bottom surfaces of the plate, streamlining the analysis with only four-unknown variables compared to the five required by traditional first-order plate theory. Equations of motion and boundary conditions are derived using Hamilton’s principle. Utilizing Navier’s approach, the study focuses on the free vibration analysis of laminated plates with simple end conditions. Several numerical examples of angle-ply laminated plates are solved in this paper to verify the accuracy of the proposed theory. The natural frequencies predicted by the proposed theory are rigorously compared against those derived from other established theories and exact solutions to validate the proposed theory. This comparative analysis reveals that the natural frequencies calculated from the developed theory are in remarkable agreement with those obtained from the exact elasticity approach. This research contributes to the field vibration analysis of plates by offering a more efficient and accurate method for estimating the frequencies of angle-ply laminated plates.

A Hybrid Data-Driven/Physics-Based Modeling Approach for Hydraulic Fracture Initiation and Early-Phase Propagation in Shale

Optimal hydraulic fracture (HF) initiation and early-phase propagation results in minimal near-wellbore tortuosity, decreasing the likelihood of screenouts and maximizing the resultant well productivity. While most predictive models for the HF geometry produced in a treatment consider the far-field region, the near-well vicinity should be an integral part of a properly-engineered reservoir stimulation strategy. In this work, a novel hybrid data-driven/physics-based approach is elaborated for modeling HF initiation and early-phase propagation from perforated horizontal wells.A treatment-optimization scheme via oriented perforating is presented using the developed hybrid model, considering the orientation of the induced HF initiation (longitudinal or transverse with respect to a well drilled along the minimum horizontal in-situ principal stress) and the resultant formation breakdown pressure (FBP). Transverse HF initiation and early-phase propagation is ideal for wells drilled in low-permeability “tight” formations, while FBP minimization suppresses the overall on-site hydraulic horsepower (HHP) requirements. The demonstrated optimization scheme is applied separately to the in-situ stress states of seven prolific shale plays from the U.S. and Argentina, suggesting oriented-perforating strategies that target the promotion of transverse HF initiation in two of these (Barnett and Marcellus), while suggesting oriented-perforating strategies that target FBP minimization in the remaining five (Bakken, Fayetteville, Haynesville, Niobrara, and Vaca Muerta). The effectiveness of oriented-perforating can potentially be compromised by fracturing fluid leakages around the casing’s circumference, which is shown to hinder transverse HF initiation.The hybrid-modeling approach is also used to estimate fracture initiation pressure (FIP) values for the seven shale plays studied, indicating significant discrepancies with analytical expressions traditionally used to approximate these FIPs in modern HF computational simulations. This sets the basis for expanding this hybrid-modeling approach over a range of in-situ stress states, incorporating aggregate data-driven (numerically-derived) correction factors in order to compensate for inaccuracies in the analytical approximations, which comprise the physics-based core of the proposed hybrid model.

Large-area mobile measurement of outdoor exposure to radio frequencies

A rapid outdoor sampling technique was tested to measure human exposure to radio frequencies in a city of 96,000 inhabitants. The technique consisted of taking measurements with a personal exposure meter inside a moving vehicle. Tests were carried out to quantify the alteration produced by the vehicle's structure and obtain correction factors in order to minimize this alteration. Data were collected at 3065 points where signals in the FM radio and mobile phone wavebands were detected. The coefficients of exposure to sources with multiple frequencies due to thermal effects were calculated from the measured values of the electric field. Kriging was used to generate maps of these coefficients, and these maps were then merged with aerial photographs of the city to readily identify the areas with greater or lesser exposure. The results indicated that the vehicle increased the FM broadcasting radiation readings by a factor of 1.66, but attenuated those of mobile telephony by factors of 0.54–0.66. The mean electric field levels detected throughout the city were 0.231, 0.057, 0.140, 0.124, and 0.110 V/m for the frequency bands FM, LTE 800 (DL), GSM + UMTS 900(DL), GSM 1800(DL), and UMTS 2100(DL), respectively. The mean coefficient of exposure to sources with multiple frequencies was 2.05 × 10−4, and the maximum was 9.81 × 10−3. It can be concluded from the study that it is possible to assess radio frequency exposure using this method, and that the technique is scalable to different sized cities. It also allows measurement at different times so as to analyse the temporal variation of radio frequency levels.

Deep solar ALMA neural network estimator for image refinement and estimates of small-scale dynamics

Context. The solar atmosphere is highly dynamic, and observing the small-scale features is valuable for interpretations of the underlying physical processes. The contrasts and magnitude of the observable signatures of small-scale features degrade as angular resolution decreases. Aims. The estimates of the degradation associated with the observational angular resolution allows a more accurate analysis of the data. Methods. High-cadence time-series of synthetic observable maps at λ = 1.25 mm were produced from three-dimensional magnetohydrodynamic Bifrost simulations of the solar atmosphere and degraded to the angular resolution corresponding to observational data with the Atacama Large Millimeter/sub-millimeter Array (ALMA). The deep solar ALMA neural network estimator (Deep-SANNE) is an artificial neural network trained to improve the resolution and contrast of solar observations. This is done by recognizing dynamic patterns in both the spatial and temporal domains of small-scale features at an angular resolution corresponding to observational data and correlated them to highly resolved nondegraded data from the magnetohydrodynamic simulations. A second simulation, previously never seen by Deep-SANNE, was used to validate the performance. Results. Deep-SANNE provides maps of the estimated degradation of the brightness temperature across the field of view, which can be used to filter for locations that most probably show a high accuracy and as correction factors in order to construct refined images that show higher contrast and more accurate brightness temperatures than at the observational resolution. Deep-SANNE reveals more small-scale features in the data and achieves a good performance in estimating the excess temperature of brightening events with an average of 94.0% relative to the highly resolved data, compared to 43.7% at the observational resolution. By using the additional information of the temporal domain, Deep-SANNE can restore high contrasts better than a standard two-dimensional deconvolver technique. In addition, Deep-SANNE is applied on observational solar ALMA data, for which it also reveals eventual artifacts that were introduced during the image reconstruction process, in addition to improving the contrast. It is important to account for eventual artifacts in the analysis. Conclusions. The Deep-SANNE estimates and refined images are useful for an analysis of small-scale and dynamic features. They can identify locations in the data with high accuracy for an in-depth analysis and allow a more meaningful interpretation of solar observations.

Radiation quality correction factors for improved dosimetry in preclinical minibeam radiotherapy.

In reference dosimetry, radiation quality correction factors are used in order to account for changes in the detector's response among different radiation qualities, improving dosimetric accuracy. Reference dosimetry radiation quality corrections factors for the PTW microDiamond were calculated for preclinical X-ray and proton minibeams, and their impact in dosimetric accuracy was evaluated. A formalism for the calculation of radiation quality correction factors for absolute dosimetry in minibeam fields was developed. Following our formalism, radiation quality correction factors were calculated for the PTW microDiamond detector, using the Monte Carlo method. Models of the detector, and X-ray and proton irradiation platform, were imported into the TOPAS Monte Carlo simulation toolkit. The radiation quality correction factors were calculated in the following scenarios: (i) reference dosimetry open field to minibeam center of the central peak, (ii) different positions at the minibeam profile (along the peaks and valleys direction) to the center of the central minibeam, and (iii) some representative depth positions. In addition, the radiation quality correction factors needed for the calculation of the peak-to-valley dose ratio at different depths were calculated. An important overestimation of the dose (about 10%) was found in the case of the open to minibeam field for both X-rays and proton beams, when the correction factors were used. Smaller differences were observed in the other cases. The usage of the PTW microDiamond detector requires radiation quality correction factors in order to be used in minibeam reference dosimetry.

Development of a corrective model of short-term radon concentrations to estimate annual effective doses in the primary schools of the Doukkala-Abda region, Morocco

In order to assess the radiological impact of radon on >250,000 students, the total annual effective dose was estimated inside 204 Moroccan primary schools sampled in the Doukkala-Abda region. The measurement of indoor radon concentrations was conducted using the LR115 detector for each month, each season and throughout the year. The evolution of indoor radon concentrations showed a decrease in annual average radon concentrations of 20–26% and 10–14%, respectively, compared to the monthly and seasonal annual average radon concentrations. For this purpose, a corrective model of short-term radon concentrations was developed to calculate the seasonal correction factors in order to estimate the annual indoor radon concentrations. For the qualitative evaluation of these factors, a percentage of deviation between the measured and estimated annual radon concentrations was calculated. Almost half of the estimated annual concentrations were 10% less than the measured concentration and the majority of these estimated values were within 40%. The estimated total annual effective doses received by students, except those in the Sidi Bennour city, were higher than the world average (1.15 mSv/y). Nevertheless, all these doses remained below the permissible limit recommended by the International Commission on Radiological Protection (3–10 mSv/y).

Range Automatic Adjusted Current Transformer Primary Winning

The article discusses the issue of introducing a correction factor for protection and control devices, as the value of the secondary current in a certain range of the auto-adjustable current transformer does not correspond to the value of the secondary current in another range determined by the difference of magnetic driving forces generated by the components of the primary current. Alternatively, an algorithm has been developed to account for the measurement error in this condition in an automatic system that controls the operating mode of the current transformer. It was also found that the output data should be transmitted taking into account the correction factor in order to ensure the proper operation of the protection and measuring devices when the current transformer is switched to another measuring range in the measuring range.

DV-Hop-based range-free localization algorithm for wireless sensor network using runner-root optimization

In this paper, we proposed an improved DV-Hop localization using runner-root algorithm to overcome the existing disadvantage of traditional DV-Hop. In proposed algorithm, we have introduced a correction factor in order to modify the hop size of the anchor nodes. The proposed algorithm lessens the communication between unknown and anchor nodes by calculating hop size of all anchors at unknown nodes. To show the applicability of proposed algorithm in anisotropic network, radio irregularity model is also considered. Simulations have been carried out on MATLAB, and comparison is made for our proposed algorithm with traditional DV-Hop, genetic algorithm-based DV-Hop and particle swarm optimization-based DV-Hop. Simulation results confirm that our proposed localization algorithm minimizes the localization error, localization error variance and computational time in comparison with existing localization techniques.

Small field correction factors determination for several active detectors using a Monte Carlo method in the Elekta Axesse linac equipped with circular cones

A Monte Carlo (MC) method was used to determine small field output correction factors for several active detectors (Exradin A16, Exradin A26, PTW microLion, PTW microDiamond, Exradin W1 and IBA RAZOR) for an Elekta Axesse linac equipped with circular cones. MC model of the linac was built with the GamBet software, using the Penelope code system. The dose-to-water simulation for each cone, ranging from 5 to 30 mm of diameter size, was used to calculate field factors and the results were validated together with Gafchromic EBT3 film. Output factors (OFs) were measured with the active detectors and correction factors were determined using the MC results. The MC simulations agreed with films within 1.2%. OFs measured with Exradin W1 scintillator were in agreement within 0.8% with MC simulations. The Exradin A16 and A26 microchambers under-responded for small fields relative to the MC (−13.1% and −4.6%, respectively). PTW microLion, IBA RAZOR and PTW microDiamond overestimated the output factor for the smallest field (+3.9%, +5.4 and +7.1%, respectively). The present study pointed out that it is crucial to apply the appropriate correction factors in order to provide accurate measurements in small beams geometry. The results showed that the Exradin W1 can be used for very small field dosimetry without correction factors, which shall be contrariwise employed for other detectors.

Plasma potential and opacity calculations

The knowledge of the radiative properties of hot plasmas is crucial when we study the absorption in the ablator of ICF capsules. For this purpose, we developed a new code that includes a collisional-radiative module. Atomic data, calculated by either Cowan or FAC code, is the input.In a previous work we investigated the absorption of C - Si mixtures, where the silicon is a dopant. Atomic data was obtained by Cowan’s code, and the ionization potential depression was given by the Stewart and Pyatt formula. Classical semi-empirical formulas for the cross-sections of the various processes occurring in a hot and dense plasma were modified with the help of correction factors in order to match the FAC results. In this work we present the ion charge distribution and compare the calculated transmission of a pure silicon plasma to a recent experiment. We also investigate the effect of the radiation field on the opacity.

Pay Every Subject or Pay Only Some?

One technique employed by budget-conscious researchers is to pay only some of the subjects for their choices in an experiment. We test the effect of paying some subjects versus paying all subjects in the context of risk preferences, controlling for the difference in stakes induced by paying only some subjects. Over two experiments, we demonstrate that paying only some subjects yields lower levels of risk aversion than does paying all subjects, though it yields more risk aversion than paying all subjects lower stakes with expected values equivalent to the pay some condition. We also demonstrate that paying only some subjects not only changes the level of risk aversion but also impacts the ordering of subjects by elicited risk aversion. Neither probability weighting nor standard experimental demographics were correlated with subjects differences between these conditions. We exploit our multiple measurements of risk aversion to estimate a simple structural model of latent risk aversion, and use these results to derive a correction factor in order to approximate the results as if all subjects were paid high stakes. Our findings imply that probabilistically paying some subjects high stakes meaningfully impacts the elicited level of risk aversion, although it better approximates the experimental ideal of paying all subjects high stakes compared to paying all subjects lower stakes.

Monte Carlo and 60 Co-based kilovoltage x-ray dosimetry methods.

This work seeks to investigate new methods to determine the absorbed dose to water from kilovoltage x rays. Current methods are based on measurements in air and rely on correction factors in order to account for differences between the photon spectrum in air and at depth in phantom, between the photon spectra of the calibration beam and the beam of interest, or in the radiation absorption properties of air and water. This work aims to determine the absorbed dose to water in the NIST-matched x-ray beams at the University of Wisconsin Accredited Dosimetry Calibration Laboratory (UWADCL). This will facilitate the use of detectors in terms of dose to water, which will allow for a simpler determination of dose to water in clinical kilovoltage x-ray beams. A model of the moderately filtered x-ray beams at the UWADCL was created using the BEAMnrc user code of the EGSnrc Monte Carlo code system. This model was validated against measurements and the dose to water per unit air kerma was calculated in a custom built water tank. Using this value and the highly precise measurement of the air kerma made by the UWADCL, the dose to water was determined in the water tank for the x-ray beams of interest. The dose to water was also determined using the formalism defined in the report of AAPM Task Group 61 and using a method that makes use of a Co absorbed dose-to-water calibration coefficient and a beam quality correction factor to account for differences in beam quality between the Co calibration and kilovoltage x-ray beam of interest. The dose to water values as determined by these different methods was then compared. The BEAMnrc models used in this work produced simulations of transverse and depth dose profiles that agreed with measurements with a 2%/2 mm criteria gamma test. The dose to water as determined from the different methods used here agreed within 3.5% at the surface of the water tank and agreed within 1.8% at a depth of 2 cm in phantom. The dose-to-water values all agreed within the associated uncertainties of the methods used in this work. Both the Monte Carlo-based method and the Co-based method had a lower uncertainty than the TG-61 methodology for all of the x-ray beams used in this work. Two new dose determination methods were used to determine the dose to water in the NIST-matched x-ray beams at the UWADCL and they showed good agreement with previously established techniques. Due to the improved Monte Carlo calculation techniques used in this work, both of the methods have lower uncertainties compared to TG-61. The methods presented in this work compare favorably with calorimetry-based standards established at other institutions.

ICARE-VEG: A 3D physics-based atmospheric correction method for tree shadows in urban areas

Many applications dedicated to urban areas (e.g. land cover mapping and biophysical properties estimation) using high spatial resolution remote sensing images require the use of 3D atmospheric correction methods, able to model complex light interactions within urban topography such as buildings and trees. Currently, one major drawback of these methods is their lack in modeling the radiative signature of trees (e.g. the light transmitted through the tree crown), which leads to an over-estimation of ground reflectance at tree shadows. No study has been carried out to take into account both optical and structural properties of trees in the correction provided by these methods. The aim of this work is to improve an existing 3D atmospheric correction method, ICARE (Inversion Code for urban Areas Reflectance Extraction), to account for trees in its new version, ICARE-VEG (ICARE with VEGetation). After the execution of ICARE, the methodology of ICARE-VEG consists in tree crown delineation and tree shadow detection, and then the application of a physics-based correction factor in order to perform a tree-specific local correction for each pixel in tree shadow. A sensitivity analysis with a design of experiments performed with a 3D canopy radiative transfer code, DART (Discrete Anisotropic Radiative Transfer), results in fixing the two most critical variables contributing to the impact of an isolated tree crown on the radiative energy budget at tree shadow: the solar zenith angle and the tree leaf area index (LAI). Thus, the approach to determine the correction factor relies on an empirical statistical regression and the addition of a geometric scaling factor to account for the tree crown occultation from ground. ICARE-VEG and ICARE performance were compared and validated in the Visible-Near Infrared Region (V-NIR: 0.4–1.0 µm) with hyperspectral airborne data at 0.8 m resolution on three ground materials types, grass, asphalt and water. Results show that (i) ICARE-VEG improves the mean absolute error in retrieved reflectances compared to ICARE in tree shadows by a multiplicative factor ranging between 4.2 and 18.8, and (ii) reduces the spectral bias in reflectance from visible to NIR (due to light transmission through the tree crown) by a multiplicative factor between 1.0 and 1.4 in terms of spectral angle mapper performance. ICARE-VEG opens the way to a complete interpretation of remote sensing images (sunlit, shade cast by both buildings and trees) and the derivation of scientific value-added products over all the entire image without the preliminary step of shadow masking.

Experimentation and Simulation of Second Sequential Loop Orthodontic Moment Prediction Modeling

Malocclusion is currently the third largest oral disease for harming people’s health. Fixed appliance technology is the most common and effective malocclusion orthodontic treatment method. And the elastic deformation of the second sequential loop generates orthodontic moment to treat the buccal-lingual tooth deformity. The shape of the second sequential loop can greatly affect the orthodontic moment. However, the design of the archwire depends entirely on the experience of the orthodontic doctors. This treatment is ineffective and may easily hurt patients. To solve these problems, the deflection equation of the second sequential loop around the buccal-lingual direction was obtained, the second sequential loop orthodontic moment prediction model was established to find the relation between the shape of the orthodontic archwire and the orthodontic moment to assist doctors design the proper orthodontic archwire. The orthodontic moment measuring device of the second sequential loop with a six-axis force/torque sensor was designed according to the characteristics of orthodontic moment transmission. The orthodontic moment measuring experiments were conducted with second sequential loops of different parameters. Finally, the effective orthodontic-moment prediction model of the second sequential loop was established by developing the correction factors in order to eliminate the errors. The relative errors between the prediction model and the experiment results ranged between 3.54%–8.72%. The orthodontic moment generating process is simulated through ANSYS. The relative errors between the prediction model and the simulation results ranged between 1.57%–7.08%. The experimental and simulation results verify the validity of the orthodontic moment prediction model of the second sequential loop.

Numerical study of the bearing capacity for strip and circular footings on non‐ homogeneous clay

The present study investigates the influence of linear increase of cohesion with depth onthe bearing capacity of shallow strip and circular footings. The objective of this study is theelastoplastic analysis of the bearing capacity factors and correction factors in order to indicate themodifications that must be made to the bearing capacity of smooth and rough strip footings, totake into account the case of circular footing on non‐homogeneous clay. Normal stresses andfailure mechanisms below the strip and circular footings are also examined. In addition, someinteresting results are presented concerning the interference of two strip footings. The comparisonof the numerical results of the present study with those presented in the literature confirms thecapability of the adopted approach.

Small fields dosimetry: Output factors and correction factors determination for an elketa axesse medical linac equipped with circular cones

Introduction The peculiarities of small beams (high dose gradient, source occlusion, lack of lateral electronic equilibrium) and the features of the detector (active volume dimension, components with high-Z materials) make the dosimetry very challenging. Purpose The aim of this work is to determine small fields output factors (OF) for several detectors and correction factors for active detectors for comparison with a passive dosimeter. Materials and methods Small fields beams, ranging from 5 mm to 30 mm in diameter, were defined using circular cones. OF measurements were performed with six active detectors (ionizing microchambers air-filled: Exradin A26, Exradin A16; ionizing microchamber isooctane-filled: PTW microLion; plastic scintillator: Exradin W1; diode: Razor IBA) and one passive detector (Gafchromic EBT3 films). Results Exradin W1 and A26 shown excellent agreement with EBT3 films (better than 2%). A significant underestimation was observed for Exradin A16, particularly for the smallest field, up to 12%. The results obtained with the PTW microLion and the IBA RAZOR indicate a dose overestimation for the smaller radiation fields, up to 4% and 7% for the 5 mm-diameter field for microLion and RAZOR respectively. Conclusion The present study points out that it is crucial to apply the appropriate correction factors in order to provide accurate measurements in small beam geometry. The results show that the Exradin W1 and Exradin A26 can be used for small fields dosimetry without correction factors. The correction factors should be employed for the other detectors, in particular for field diameter smaller than 10 mm. Disclosure Nothing to declare.

Transport properties of methane, ethane, propane, iso-butane and neo-pentane from ab initio potential energy surfaces

In this work, the potential energy surfaces for methane, ethane, propane, iso-butane and neo-pentane, obtained from the ab initio calculations via different levels of electron-correlation, were used in the framework of the kinetic theory to calculate the transport collision integrals and their corresponding low-density transport coefficients. The theoretical results are compared with the available experimental data and the effective scaling potential parameters of methane, ethane, propane, iso-butane and neo-pentane along with the kinetic theory collision integrals and higher order correction factors were obtained. Relation between different potentials and kinetic theory collision integrals are discussed and it was shown that the Mason–Monchick approach is a reliable approximation in the calculation of diffusion coefficients and shear viscosities of chain alkanes, whereas the full predictive Boltzmann weighting method is successful only for lighter alkanes, such as methane and ethane.

Unified Analytical Models of Parallel and Distributed Computing

The optimal resource allocation satisfies the needed capacity of the used resources. To such analysis we can use both analytical and simulation methods. Principally analytical methods (AM) belong to the preferred method in comparison to the simulation method, because of their potential ability of more general analysis and also of ability to analyze massive parallel computers. This article goes further in developing AM based on queuing theory results in relation to our published paper in [9]. The extensions are in extending derived AM to whole range of parallel computers and also to sum up public acceptance of our published paper. The article therefore describes deriving of correction factor of standard AM based on M/M/m and M/M/1queuing theory systems. In detail the paper describes derivation of a correction factor for standard AM to study more precise their performance. The paper contributions are in unified AM and in deriving correction factor in order to take into account real non-exponential nature of the inputs to the computing nodes and node’s communication channels. The derived analytical results were compared with performed simulation results in order to estimate the magnitude of improvement. Likewise the corrected AM were tested under various ranges of parameters, which influence the architecture of the parallel computers and its communication networks too. These results are very important in practical use.

A framework for the consideration of the effects of crosswinds on trains

High winds have a number of different effects on the design and operation of trains, the most important being the need to design trains that will not blow over in high winds. The current European design methodology is contained within a draft CEN code of practice (CEN, 2009). In this paper the author will argue that there are inconsistencies and inadequacies in the approach adopted in that document, particularly in the levels of complexity of the different components and in the uncertainties that are involved. This leads to a proposal for a revised methodology that is more consistent in terms of the complexity of its components and can be used for train authorisation and route risk analysis. In particular the paper addresses the following issues:•The development of simple correlations for train overturning moment coefficient as a function of yaw angle.•The use of a simplified model of the train overturning phenomenon, which takes into account “real” effects (such as vehicle suspension, curvature, admittance effects and track roughness), through second order correction factors.•The calibration of this model using previously published data obtained using more complex methodologies.•The application of this methodology to risk based assessments for use in train authorisation and route risk analysis.•The consideration of the uncertainty chain throughout the calculation process.Emerging out of this work, the concept arises of a simple parameter referred to as the characteristic velocity, which combines train geometry and aerodynamic effects and can be used as an indication of train safety in high cross winds.

A new energy‐based isothermal and thermo‐mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy

ABSTRACTIn this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the plastic strain energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out‐of‐phase thermo‐mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the plastic strain energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo‐mechanical conditions in components such as cylinder heads.