CambridgeMolecularEngineering/PureMechBERT-cased
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Sustainable material selection for additive manufacturing technologies: A critical analysis of rank reversal approachThe world is moving towards a situation where resource scarcity leads to increased material cost, and the government is bound to dispose of heavy wastes generated by the growing population. Additive Manu... |
= 18.2 (J/cm3)1/2, was obtained from the Polymer Handbook The swelling of Liprol 270-MDI PU in toluene, measured at room temperature is 32%, whereas that of Liprol 320-MDI PU is 35%. Surprisingly, Mc calculated from Eq is only around 200 g/mol for both PU networks when applying the affine model. By comparison with con... |
= (0.03–1.22 g/cm3)). Using the previous equations, the Young’s modulus and the yield stress in compression are respectively: E |
= (1.47–17643.65 MPa) and σC |
= (0.15–173.12 MPa). Furthermore, Keyak et al. For a simple test, let us consider an acceptable value of the ash density for trabecular bone, as: ρα |
= 0.25 g/cm3. According to the model of Keller In this work, the relationship between the yield stress and the Young’s modulus is first generalized to meet the different design requests. Let us present the developed models or equations using some constants. The Young’s modulus and the yield stress against the ash densi... |
= |
nσ/nE is the ratio of exponents. The different studies indicate that the mathematical dependency of bone compressive mechanical properties on composition is closely dependent upon the density and mineral content range examined and, in terms of a single compositional measure, is best predicted by apparent ash density ex... |
= |
nσ/nE using two experiment points: (σCi,Ei) and (σCi+1,Ei+1). Eq. This way the ratio of exponents can be written as follows:In order to get all constants with an optimum fitting curve, an iterative (optimization) method can be used for at least three given experiment points: (σCi,Ei),(σCi+1,Ei+1) and (σCi+2,Ei+2).Let u... |
= 17 GPa and Poisson’s ratio ν |
= 0.3. The corresponding experimental yield stress is: σy |
= 132 MPa where ɛ is the strain tensor and D is the elastic tensor. According to Huiskes et al. , the minimum stress value can be computed as follows:where E is the uniaxial Young’s modulus. To ensure long-term fixation, the minimum stress value in the surrounding bone has to exceed the threshold value σTar. Thus, the ... |
E2) are normally considered distributed. Their mean values are presented in and their standard deviations are proposed proportional to the mean values (10%). shows the reliability indices for three different loading cases when considering 2 parameters.a shows the optimization problem modeling in a physical space wher... |
E2) = 0, however b shows the problem modeling in a normalized space where the limit state functions are presented by H(u1, |
u2) = 0. In the physical space, the mean value is presented by the coordinates (x1, |
x2), the MPP is represented by the coordinates (y1, |
y2) and the reliability levels are presented by ellipses. We model the tension limit states by three limitation curves (continuous lines: GL1T(E1,E2)=0,GL2T(E1,E2)=0 and GL3T(E1,E2)=0) corresponding to the three loading cases and the compression limit states by three limitation curves (intermittent lines: GL1C(E1,E2)=0... |
u2) and the reliability levels are presented by circles according to Eq. . We model the tension limit states by three limitation curves (continuous lines: HL1T(E1,E2)=0,HL2T(E1,E2)=0 and HL3T(E1,E2)=0) corresponding to the three loading cases and the compression limit states by three limitation curves (intermittent lin... |
= 5.93 × 10−6.In this case, the random variables xi corresponding to the Young’s modulus and the Poisson’s ratio of different layers (E1, |
E2, |
E3, |
ν1, |
ν2, |
ν3) are normally considered distributed. Their mean values are presented in and their standard deviations are proposed proportional to the mean values (10%). shows the reliability indices for three different loading cases when considering 6 parameters.For this six parameter optimization process, the most probable fai... |
= 2.16 when considering tension failure case that leads to a reasonable level of probability of failure: Pf=1.54%. The reliability index is bigger when considering compression failure case: βL3C=5.28 that leads to a very small probability of failure: Pf |
= 6.46 × 10−8. shows that the most effective parameter is the Young’s modulus of the cancellous layer. According to the experimental test of Aleixo et al. ). The experimental results are also prone to different errors (testing protocols…). To improve our design, the ratio of RT/C |
≈ 0.7 is considered during the optimization process. Furthermore, the composition of bone materials can be changed according to several factors such as ageing, and disease. It is strongly recommended to integrate the randomness of material behaviors into the prosthesis design strategy. In the literature, several works ... |
h−1) and a photodegradation efficiency (90.5 %), rendering an integrated water purification capability under one sun irradiation. This work presents a feasible and effective route towards develop of MXene-mediated cooperative photochemical and photothermal solar energy conversion for sustainable water purification.Fres... |
h−1, which is about 1.5 times and 6 times of that of MXene membrane and bulk water, respectively. Additionally, the solar-to-vapour conversion efficiency (η) of the MAP hydrogel membrane was calculated based on the following Equation: where ṁ denotes the evaporation rate under illumination, |
hLV |
represents the apparent liquid–vapor phase change enthalpy (including the sensible heat Hs and phase change enthalpy Hv), and |
qi |
is the solar illumination. Like the hydrogel materials, the apparent enthalpy of the hydrogel membrane was evaluated based on the darkness experiment with pure water, which exhibited an evaporation rate of 0.086 and 0.156 kg m−2 |
h−1, respectively (). Therefore, the MAP20 hydrogel membrane exhibited a η value of 73.5%. The outstanding solar evaporation performance is largely attributable to the superior features of the hydrogel membrane, which not only assures efficient photothermal conversion for heat localization, but also provides a stable h... |
h−1 freshwater by evaporation and achieves 10.5 kg m−2 |
h−1 by wastewater purification photodegradation. According to , the color of the treated solution is initially dark pink, which fades gradually during the photocatalysis process, while the water produced by solar evaporation is totally transparent. This efficient photodegradation performance in turn endows the MAP memb... |
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Stress Engineering Literature
This dataset is a compilation of research articles that contain information on stress strain properties. The articles were scraped from the publishers Elsevier, Springer Nature, and Wiley. The plain text content was extracted using the reader package in ChemDataExtractor.
This resulting text dataset contains approximately 1.2 billion tokens and was used to pre-train domain specific BERT models.
See the associated paper for more details.
Citation:
If you use this model, please cite:
@article{mechbert-kumar2025,
title={MechBERT: Language Models for Extracting Chemical and Property Relationships about Mechanical Stress and Strain},
author={Pankaj Kumar, Saurabh Kabra, Jacqueline M. Cole},
journal={Journal of Chemical Information and Modelling},
doi={10.1021/acs.jcim.4c00857},
year={2025}
}
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