Small Samples Of Material Research Articles

Сytokines as promising diagnostic and prognostic biomarkers of microvascular complications of diabetes

Classical knowledge about the pathogenesis of diabetes and its complications in recent years has been supplemented by ideas about the role of chronic inflammation. It has been established that inflammatory reactions play a role in the beta cell dysfunction, the formation of insulin resistance and remodeling of the vascular wall. Cytokines, soluble low molecular weight proteins and peptides that perform informational and regulatory functions, play central role in the development of inflammation. A wide range of biological activity and involvement in many aspects of pathogenesis make it possible to consider cytokines as promising molecules for diagnosing and predicting the complications. In this review, we summarize data from studies that assessed the role of cytokines as diagnostic and prognostic markers for the development of microvascular diabetic complications. Current data indicate that angiogenic and pro-inflammatory cytokines (VEGF, TNF-α, IL-6, IL-8, IL-15, IL-17, MCP-1, IP-10, INF-γ, PEDF, etc.) are promising biomarkers for proliferative diabetic retinopathy, especially when their local production is assessed (in vitreous, aqueous humor and tears). The role of these molecules as biomarkers of non-proliferative diabetic retinopathy and diabetic macular edema needs further research. Serum proinflammatory and fibrogenic cytokines (primarily MCP-1, IL-6, TNF-α, YKL-40, TGF-β and bFGF) and cytokine receptors (sTNFR1, sTNFR2) are considered as promising diagnostic and prognostic markers of diabetic kidney disease. Urinary excretion of IL-6 and MCP-1 turned out to be a predictor of the progression of diabetic nephropathy. Multi-bead assay and mass spectrometry make it possible to study cytokine panels in small samples of biological material. Combined biomarkers, including several cytokines, may increase the reliability of the prognosis of diabetic complications.

Role of metal inserts for ‘targeted’, ‘uniform’ or ‘controlled’ microwave heating objectives involving generalized sets of dielectrics (Group 1 – 4)

Microwave heating occurs volumetrically leading to faster processing than conventional heating processes. Over the last few decades, the potential of microwave heating has been investigated for various thermal processing applications such as food processing, material synthesis, fuel production and waste treatment/remediation. Current work investigates the role of the metal inserts towards targeted, uniform and/or controlled microwave heating for the four groups of dielectrics (Group 1 – 4) involving lateral and isotropic microwave incidences. The microwave induced heat generation and evolving temperature distributions within the materials in the absence and presence of the metal insert are numerically determined via the mathematical models comprising of Helmholtz equation, energy balance equation and an integro-differential boundary condition representing the scattering of the microwave at the air-material interface. Galerkin finite element method with biquadratic elements along with Crank-Nicolson time integration scheme has been employed to solve the governing equations. It has been found that the metal insert can suitably alter the heating characteristics leading to either faster heating, better heating uniformity or more intense targeted heating of the materials. Uniform microwave heating is generally difficult to attain except for very small samples. This work shows that the metal inserts can significantly reduce the heating inhomogeneity of the moderately large samples involving Group 1 to Group 3 materials. In addition, the targeted heating effect of the materials (Groups 1 to 4) can also be intensified by the use of the metal insert, as has been illustrated for various test cases. Especially, the metal insert can lead to targeted heating at the incident surface irrespective of the material or sample dimension, and that is difficult to attain except for the large samples. The metal inserts are also found to be efficient to control the rapid microwave heating experienced by the small samples of lossy materials (Group 1 and 3 materials) or accelerate the slower heating of the large samples resulting in significant energy savings, especially for Group 1 to Group 3 materials.

Scalable substrate development for aqueous sample preparation for atom probe tomography.

Reliable and consistent preparation of atom probe tomography (APT) specimens from aqueous and hydrated biological specimens remains a significant challenge. One particularly difficult process step is the use of a focused ion beam (FIB) instrument for preparing the required needle-shaped specimen, typically involving a "lift-out" procedure of a small sample of material. Here, two alternative substrate designs are introduced that enable using FIB only for sharpening, along with example APT datasets. The first design is a laser-cut FIB-style half-grid close to those used for transmission-electron microscopy, that can be used in a grid holder compatible with APT pucks. The second design is a larger, standalone self-supporting substrate called a "crown," with several specimen positions that self-aligns in APT pucks, prepared by electrical discharge machining (EDM). Both designs are made nanoporous, to provide strength to the liquid-substrate interface, using chemical and vacuum dealloying. We select alpha brass a simple, widely available, lower-cost alternative to previously proposed substrates. We present the resulting designs, APT data, and provide suggestions to help drive wider community adoption. Lay Description Atom probe tomography (APT) maps the composition of solid materials in three dimensions with sub-nanometre resolution. Preparation of specimens from aqueous specimens remains a significant challenge. To aid with preparation, we introduce here two substrate designs that can hold suitable volumes of liquid for freezing, prior to shaping the final specimen into a sharp needle for APT by using cryogenic focused ion beam milling. We also describe the complete setup that we designed for handling these substrates, including dedicated sample holders. Both substrates are made nanoporous, to provide strength to the liquid-substrate interface, using chemical and vacuum dealloying of alpha brass a simple, widely available, low-cost material. We finally showcase APT data and provide suggestions to help drive wider community adoption. This article is protected by copyright. All rights reserved.

Cold pressing and hot curing process for assembly of hexagonal pre-shaped bamboo culm sections

Bamboo is widely used in the construction industry due to its excellent mechanical properties, short production cycle, and environmental concerns. Reconstructing and processing bamboo into biomass-based composite materials that can replace wood alleviates the imbalance between wood supply and demand. This article uses cold press setting and hot press curing molding processes to prepare small samples of Hexagonal Recombinant Bamboo Material (glued HexBam). Through orthogonal analysis, the preparation process parameters, adhesive types, adhesive application amounts, and the relationship between the temperature and time of hot pressing solidification molding and the mechanical properties of glued HexBam were determined. A phenolic adhesive (PF) was used with a dosage of 200 g/m2, a heat setting and molding temperature of 130 °C, and a heat setting molding time of 10 minutes. Under these process conditions, the prepared glued HexBam had a longitudinal compressive strength of 73.8 MPa and a specific strength of 0.0535 N•m/kg, which is superior to ordinary steel.

A spatially auto-corrected reactimeter algorithm

Reactimeter algorithms enable real-time evaluation of the reactivity of a near-critical reactor from the signal of a neutron detector. They only depend on a few parameters defined by the inverse point kinetic equations, and which can be calculated by most neutron transport codes. However, the neutron population measured locally by a detector may not always lead to a good estimate of the reactivity. For example, this would be the case for an in-core detector placed just next to a moving control rod. In such special cases – or when measurement precision is an issue – costly simulations are needed to provide correction factors that account for variations in the spatial distribution of the neutron flux. This paper aims to provide an auto-corrected reactimeter algorithm (ACRA) in the special cases where rapid perturbations are applied to a core close to criticality. Such perturbations were successfully performed in the MINERVE reactor using a dedicated control rod to alternatively insert and withdraw a small sample of material under study. ACRA has been validated against 3D Monte Carlo neutron transport calculations using the signals of four in-core detectors located just next to the moving sample.

Holography-based measurement of sound speed and attenuation coefficient values for small samples of tissue phantoms

For therapeutic ultrasound applications, design and planning of treatments often involve simulations to predict the in situ acoustic field, and these simulations rely on estimates of the acoustic properties of soft tissues. As defined in simulation models, these properties describe how a plane wave propagates in a homogeneous medium. However, because soft tissues inherently contain inhomogeneities, measurements are most appropriately performed on small, relatively homogeneous samples. In addition, mostly small samples of human tissue, either autopsy or post-surgical, are typically available for characterization. As published in a recent paper [J. Acoust. Soc. Am. 2021, 149(1): 386–404], we have proposed a holography-based technique to extract plane-wave measurements from ultrasound beams passing through small (cm-sized) material samples. Here, we seek to adapt this technique for measuring small samples of deformable materials using an apparatus that holds such samples with two plane, parallel surfaces that can be interrogated by an incident ultrasound beam having a diameter smaller than that of the sample. Initial testing over a range of frequencies from 0.5 to 10MHz is performed utilizing well characterized materials, such as hydrogels and silicone rubber. [Work supported by NIH grant R01EB025187.]

Interaction behavior of sand-diluted and mixed Fe-based oxygen carriers with potassium salts

Oxygen carriers, in the form of metal oxide particles, are bed materials that transport oxygen in solid form in fluidized bed applications, such as in chemical-looping applications. In biofuel applications, it is well known that alkali from the fuel ash can react with the bed material and cause, among other operation issues, agglomeration. When using oxygen carriers in a fluidized bed, it is likely that the bed material is either a mixture of different metal oxide materials or partly diluted with sand. This is to improve or combine the chemical properties of the materials used or simply for economic reasons.This work investigates how three potassium salts K2CO3, K2SO4 and KH2PO4 interact with the oxygen carriers: Steel converter slag (LD slag), ilmenite, mixtures of the two and each carrier diluted with silica sand. The salts were used as model compounds that can occur in biofuel ash. The set-up used was a fixed bed where a small sample of bed material is mixed with a potassium salt equivalent to 4 wt-% of potassium. The mixture was then exposed to reducing (H2 in steam) conditions at 900 °C during several hours in a tubular furnace. This provides a worst-case scenario for solid–solid interaction in a fluidized bed. If a solid–solid reaction does not take place in this setup, it will most likely never occur in a fluidized bed.When LD slag and ilmenite were combined, the potassium from the salts would prefer to accumulate in the ilmenite rather than the LD slag. Ca from LD slag interacted with KH2PO4 resulting in a less severe agglomeration than when ilmenite was used separately with the same salt. When the oxygen carriers were diluted with silica sand, potassium salt interaction resulted in agglomeration for both the oxygen carriers with all potassium salts. K2CO3 and K2SO4 formed potassium silicates, while KH2PO4 formed a phosphorus-containing melt. When LD slag was present, phosphorus was located in a K-Ca-P phase that was not present if ilmenite was present.

Democratized innovation & accessible thermal testing: The approachable hot box

To meet the goals established by the 2015 Paris Accord, scientists say that we will need to achieve zero emissions between 2030 and 2050, which will require a drastic departure from current practices in the building industry, as buildings are a primary contributor of carbon emissions and a major consumer of natural resources. However, building technology research is often driven by disciplinary ‘experts’ and end-users have little opportunity for involvement in the design process. As buildings become more technologically complex, users must rely on industry professionals with specialized knowledge to design, manufacture and manage these increasingly complex environments Instead, this paper provides an alternative attitude to approachable research methods that open up building technology innovation opportunities to untraditional innovators. When the user has control of the design/innovation process, it opens up a new realm of possibilities rich with lived experience.Understanding the movement of heat, or thermal transmittance, through materials and assemblies is critical in controlling energy consumption in buildings. Despite recent advances in computational technologies, physical testing is still the industry standard to determine a material’s thermal properties. However, this process can require expensive equipment, a controlled environment for testing and deep technical knowledge to create a degree of accuracy that is not necessary for all phases of the innovation process and can even act as a barrier to the early stages of design. In this paper we propose the Approachable Hot Box (AHB), a low-cost, low-tech and accessible testing apparatus that can quickly and easily evaluate the impact of simple building materials and assemblies on ambient environmental conditions. By reducing unnecessary complexity for early-level design decisions, the AHB is consistent and reliable at an affordable price. Not only does the AHB rapidly and affordably test small material samples, it helps to articulate potentially complex concepts in a tangible and understandable way, which helps to lower the barrier to innovation. By creating a non-disciplinary, iterative design approach that uses conventional materials and accessible concepts, this work demonstrates that rapid experimentation can be used as a tool to study building assemblies or systems by non-traditional innovators.

ALDS: An active learning method for multi-source materials data screening and materials design

High-quality internal experimental materials data are often “small data.” Using external datasets, e.g., data from the literature and other groups, to expand the “small data” to relatively “big data” is particularly important for improving the prediction accuracy of machine learning models. However, the most critical issue is how to use a small amount of internal reliable data to filter external data extracted from multiple sources and obtain optimal datasets with a distribution similar to that of internal data. This is called the multi-source materials data problem. This question was addressed by designing an active learning-based data screening (ALDS) model that is suitable for small material samples. This study used negative expansion materials as subjects. The results show that ALDS can be used to screen the external multi-source dataset and far exceeds traditional outlier filtering methods. The average mean absolute percentage error (MAPE) of the predictive key target property of the negative thermal expansion coefficient (NTEC) was reduced from 4.301 to 0.056. Furthermore, reverse design experiments were conducted on anti-perovskite manganese nitride (AMN), a type of negative thermal expansion material, to prove that the ALDS model can guide the reverse design on a small AMN dataset using the MAPE between ALDS prediction and the ground truth of samples’ three property indicators. This achieves high confidence levels with values of 0.203,0.126, and 0.115. This verifies that the ALDS proposed method improves the effect of ”materials small internal data” in guiding material design and property prediction.

The probability of whole-bone fatigue fracture can be accurately predicted using specimen-specific finite element analysis incorporating a stochastic failure model

A better understanding of the mechanisms of mechanical fatigue in bone could help improve understanding of the etiology of stress fractures. Investigations of small material samples of bone have identified a nonlinear relationship between strain magnitude, strained volume, and fatigue life, but it is non-trivial to extend these principles to predict the fatigue-life of whole bones which experience complex loading and non-uniform strain distribution. The purpose of this investigation was to experimentally validate a specimen-specific finite element (FE) model that predicts whole-bone fatigue failure using a stochastic model based on strain magnitude and volume. Thirty-four rabbit tibiae were previously tested to failure under cyclic compression, torsion, or both. Strain distribution during the test was estimated from computed-tomography based specimen-specific FE models, and a stochastic failure model based on strain magnitude and volume was used to predict the probability of failure as a function of loading cycles. Model predicted fracture risk matched experimental observations. Respectively, for the 25%, 50%, 75%, and 95% probabilistic predictions, we observed experimental failure ≤ model predicted values in 41%, 53%, 76%, and 80% of the tested specimens. A Brier scoring rule further demonstrated that this model, using strain magnitude and volume, more accurately predicted failure probability compared to two reference models that considered strain magnitude only. In conclusion, the stochastic model may be a powerful tool in future studies to assess mechanical factors that influence stress fracture risk.

Permeability of Bituminous Coal to CH4 and CO2 Under Fixed Volume and Fixed Stress Boundary Conditions: Effects of Sorption

Permeability evolution in coal reservoirs during CO2-enhanced coalbed methane (ECBM) production is strongly influenced by swelling/shrinkage effects related to sorption and desorption of CO2 and CH4, respectively. Recent research has demonstrated fully coupled stress–strain–sorption–diffusion behavior in small samples of cleat-free coal matrix material exposed to a sorbing gas. However, it is unclear how such effects influence permeability evolution at the scale of a cleated coal seam and whether a simple fracture permeability model, such as the Walsh elastic asperity loading model, is appropriate. In this study, we performed steady-state permeability measurements, to CH4 and CO2, on a cylindrical sample of highly volatile bituminous coal (25 mm in diameter) with a clearly visible cleat system, under (near) fixed volume versus fixed stress conditions. To isolate the effect of sorption on permeability evolution, helium (non-sorbing gas) was used as a control fluid. All flow-through tests reported here were conducted under conditions of single-phase flow at 40°C, at applied Terzaghi effective confining pressures of 14–41 MPa. Permeability evolution versus effective stress data were obtained under both fixed volume and fixed stress boundary conditions, showing an exponential correlation. Importantly, permeability (κ) obtained at similar Terzaghi effective confining pressures showed κhelium > κCH4 >> κCO2, while κ-values measured in the fixed volume condition were higher than those in the fixed stress case. The results show that permeability to CH4 and CO2, under in situ conditions where free swelling of rock is not possible, is strongly influenced by the coupled effects of 1) self-stress generated by constrained swelling, 2) the change in effective stress coefficient upon sorption, 3) sorption-induced closure of transport paths independently of poroelastic effect, and 4) heterogeneous gas penetration and equilibration, dependent on diffusion. Our results also show that the Walsh permeability model offers a promising basis for relating permeability evolution to in situ stress evolution, using appropriate parameter values corrected for the effects of stress–strain–sorption.

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

Small specimen mechanical testing is an exciting and rapidly developing field in which fundamental deformation behaviours can be observed from experiments performed on comparatively small amounts of material. These methods are particularly useful when there is limited source material to facilitate a sufficient number of standard specimen tests, if any at all. Such situations include the development of new materials or when performing routine maintenance/inspection studies of in-service components, requiring that material conditions are updated with service exposure. The potentially more challenging loading conditions and complex stress states experienced by small specimens, in comparison with standard specimen geometries, has led to a tendency for these methods to be used in ranking studies rather than for fundamental material parameter determination. Classifying a specimen as ‘small’ can be subjective, and in the present work the focus is to review testing methods that utilise specimens with characteristic dimensions of less than 50 mm. By doing this, observations made here will be relevant to industrial service monitoring problems, wherein small samples of material are extracted and tested from operational components in such a way that structural integrity is not compromised. Whilst recently the majority of small specimen test techniques development have focused on the determination of creep behaviour/properties as well as sub-size tensile testing, attention is given here to small specimen testing methods for determining specific tensile, fatigue, fracture and crack growth properties. These areas are currently underrepresented in published reviews. The suitability of specimens and methods is discussed here, along with associated advantages and disadvantages.

Non-Deterministic Methods and Surrogates in the Design of Rockfill Dams

The parameters of the constitutive models used in the design of rockfill dams are associated with a high degree of uncertainty. This occurs because rockfill dams are comprised of numerous zones, each with different soil materials, and it is not feasible to extract materials from such structures to accurately ascertain their behavior or their respective parameters. The general approach involves laboratory tests using small material samples or empirical data from the literature. However, such measures lack an accurate representation of the actual scenario, resulting in uncertainties. This limits the suitability of the model in the design process. Inverse analysis provides an option to better understand dam behavior. This procedure involves the use of real monitored data, such as deformations and stresses, from the dam structure via installed instruments. Fundamentally, it is a non-destructive approach that considers optimization methods and actual performance data to determine the values of the parameters by minimizing the differences between simulated and observed results. This paper considers data from an actual rockfill dam and proposes a surrogate assisted non-deterministic framework for its inverse analysis. A suitable error/objective function that measures the differences between the actual and simulated displacement values is defined first. Non-deterministic algorithms are used as the optimization technique, as they can avoid local optima and are more robust when compared to the conventional deterministic methods. Three such approaches, the genetic algorithm, differential evolution, and particle swarm optimization are evaluated to identify the best strategy in solving problems of this nature. A surrogate model in the form of a polynomial regression is studied and recommended in place of the actual numerical model of the dam to reduce computation cost. Finally, this paper presents the relevant dam parameters estimated by the analysis and provides insights into the performance of the three procedures to solve the inverse problem.

Interlaminar strength in large‐scale additive manufacturing of slow crystallizing polyaryletherketone carbon composites

AbstractFusion bonding theory is applied to the additive manufacturing process to predict the strength developed across the interface between the deposited layers in material extrusion based large‐scale additive manufacturing. Relaxation times were determined through rheology investigations of the neat polymers and were extrapolated across the entire process temperature range to estimate the required welding times for optimal bond formation. For the calculation of bond formation during cooling from the melt, the semicrystalline polyaryletherketone is considered amorphous until the onset of crystallization which is determined by recreating the process thermal history in DSC measurements. A significant improvement in bond development during additive manufacturing is achieved through the use of specifically designed polymers with slower crystallization kinetics. Both in small‐scale additive manufacturing, achieving full bonding, and in large‐scale additive manufacturing, they achieve significantly higher interlaminar strength than the reference material, validated by three‐point bending. A very good match between the estimated degree of bonding and the tested strength of upright printed specimens in three‐point bending was found. While the fusion bonding model calculates a degree of bonding of 42.07%, mechanical testing showed 42.54% of the bulk flexural strength. The study outlines a procedure to evaluate materials for additive manufacturing by material extrusion based on small material samples to shorten and improve the process development. © 2020 The Authors. Polymer International published by John Wiley & Sons Ltd on behalf of Society of Industrial Chemistry

Utilizing PUNITA experiments to evaluate fundamental delayed gamma-ray spectroscopy interrogation requirements for nuclear safeguards

ABSTRACT Present safeguards verification methods for small samples of high-radioactivity nuclear material (e.g. spent nuclear fuel solution) in reprocessing facilities use destructive analysis techniques since passive non-destructive techniques are incapable of directly determining the nuclear material content. To supplement these methods, the Japan Atomic Energy Agency and European Commission Joint Research Centre (JRC) are collaborating to develop delayed gamma-ray spectroscopy non-destructive assay technology for composition analysis of the fission nuclides. Multiple experiments were performed in the JRC-Ispra site using the Pulsed Neutron Interrogation Test Assembly (PUNITA) to study the signature from short-lived fission products from low-radioactivity U and Pu standard samples. From these spectra, we identify many gamma rays useful to determine the composition of a mixed nuclear material sample. Here we present the results of these experiments along with correlations to the interrogation, mass, volume, and sample homogeneity.

Comparison of moisture buffering properties of plasters in full scale simulations and laboratory testing

The regulation of indoor relative humidity is a key factor for the provision of occupant health and comfort. Passive humidity regulation is possible if porous materials, for example clay and gypsum plasters, are exposed to the indoor environment. Materials that are highly hygroscopic can help regulate relative humidity levels through their capacity to adsorb and release water vapour from and to the indoor air via a dynamic process referred to as moisture buffering. Laboratory test methods have been developed to measure this moisture buffering capacity, which are well-suited for comparative testing of relatively small material samples under controlled conditions. However, quantification of the impact of hygroscopic materials in real buildings requires additional evaluation, like field testing and the support of simulation models, which can successively be used for the development of new protocols capable of giving information about materials’ moisture buffering performances indoors.

Prony series calculation for viscoelastic behavior modeling of structural adhesives from DMA data.

In product design is important to choose the correct material for a specific application. Viscoelastic behavior let us know how much energy the material can dissipate on its internal structure or either return it to the surroundings, and the property that describe this is the Complex Modulus G*, it is a complex quantity that can be separated in a real and an imaginary part called G' storage modulus and iG'' loss modulus respectively. These properties can be measured experimentally from a small material sample easily by performing Dynamical Mechanical Analysis (DMA). In Product Design process there are both, computational and physical validations and there is the need of improving computational studies by understanding the physics of each component. Viscoelastic characteristics of materials can be represented by Prony series, also known as relaxation modulus in function of time. Relaxation modulus can be defined in most of Computer Aided Engineering (CAE) Software. In this article the procedure for calculating Prony Series from DMA data will be explained.

Determination of Kinetic and Diffusion Parameters Needed to Predict the Behavior of CaO-Based CO2 Sorbent and Sorbent-Catalyst Materials

For about 10 years, this research group has developed and utilized a particle grain model (PGM), to simulate CO2-capture carried out by CaO-based porous particles. Chemical kinetics and diffusion parameters were either taken from literature studies or fixed by fitting experimental sorption data. As recently observed, this procedure was not fully satisfactory and revealed systematic, minor discrepancies between PGM numerical results and experimental data when predicting sorbents behavior during the initial chemically controlled regime of carbonation. This work deals with the experimental determination of kinetic and diffusion parameters, utilized in the PGM, by means of straightforward thermogravimetric analysis (TGA) tests on small samples of materials to be evaluated for CO2 sorption and sorption-enhanced processes. To validate this procedure, the carbonation of two Ni–CaO–mayenite combined sorbent-catalyst materials (CSCMs) was studied in TGA. The experimental data so obtained were used to infer carbona...

Investigation of Misalignment Affects During Creep Testing on the Miniature Pin-Loaded and the Sup-Size Uniaxial Creep Tests Specimens

Creep is one of the main engineering problems facing engineers dealing with high temperature components. These components have to be closely monitored, especially after serving 50% of their residual life. For many reason creep engineers has to use small material samples for creep assessments of these components. Many small creep test specimen types can be manufactured using these small material samples; this include the sup-size uniaxial creep test specimen and the pin loaded small creep test specimen. Considering the limitations and the difficulties associated with each testing method is another factor often taken in to account before choosing which specimen type can be used. Traditionally many of creep engineers tend to go for the sup-size uniaxial creep test specimen, because of it is similarity to the standard creep test specimen. However, this specimen type has some limitations; this is include the high possibility of misalignment during the loading application, and this is due to the small size of the specimen. The misalignment effect on the test results normally ignored which can lead to inaccurate results. This paper will be focusing on the misalignment effect on the sup-size uniaxial creep test specimen, and the one-bar and two-bar creep test specimens. Using different values of misalignment the creep results obtained from one-bar and two-bar specimens and the sup-size uniaxial creep test specimen will be compared. The P91 steel at 650°C, which is one of the high temperature materials, will be used for validation.

A new method to determine the beam bending creep critical displacement of three-point bending specimen with fixed constraints

Three-point bending specimen with fixed constraints (TPBSF) can be used to obtain uniaxial creep parameters from small samples of material. Conversion relationships between TPBSF and uniaxial creep data are based on the beam bending model. For large loads and longtime creep test, the specimen deformation can be large, which may be contrary to the small deformation assumption of the beam bending model. So it is necessary to define the critical deformation, below which the beam bending model holds. In this study, a new method to define this critical deformation was proposed by displacement. Based on the relationship between the maximum rotation angle and displacement at the elastic and creep stages, three procedures to determine the critical displacement were first proposed. Then it was verified by the creep test of P91 steel at 566 °C and 66 N. The results show that the critical displacement obtained by finite element method is in good agreement with the experimental result, and the maximum error is 4.5%. Creep parameters were regressed and compared with those in the literature on the basis of critical displacement, it can be seen that creep parameters regressed by the new proposed method are much closer to uniaxial creep than the literature, which indicates that beam bending model holds below this critical displacement. Finally, the finite element method was used to investigate the relationship between the time correction parameter and specimen geometric parameters. It can be found that the specimen width has little influence on the time correction parameter. However, the influence of specimen thickness and span can be significant.