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How can transmission electron microscopy be used to measure residual stress? 


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Transmission electron microscopy (TEM) can be used to measure residual stress by bombarding a thin slice of the specimen with an intensely focused single-energy electron beam. The transmitted electron beam is highly magnified using a series of electromagnetic lenses, allowing for visualization of the sample at atomic or nanometer resolution. TEM can visualize tiny crystals and can be integrated with 3D electron diffraction tomography for precise crystal structure determination. Additionally, a modified version of TEM called scanning transmission electron microscopy (STEM) offers diffraction, imaging, and spectroscopic details of samples up to atomic or nanometer resolution. TEM can also be integrated with energy-loss spectroscopy or X-ray energy diffractive spectroscopy for further analysis in nanoscience.

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Book ChapterDOI
01 Jan 2022
The provided paper does not mention how transmission electron microscopy can be used to measure residual stress.
The provided paper does not mention the use of transmission electron microscopy for measuring residual stress.
Book ChapterDOI
Xi Jiang, Takeshi Higuchi, Hiroshi Jinnai 
01 Jan 2019
The provided paper does not mention how transmission electron microscopy can be used to measure residual stress.
The provided paper does not mention the use of transmission electron microscopy to measure residual stress.
The provided paper does not mention the use of transmission electron microscopy for measuring residual stress.

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How may residual volume be measured?5 answersResidual volume (RV) can be measured using various techniques. One method involves using a residual gas volume measuring device that injects a liquid into a container and measures the volume of residual gas discharged. Another approach is to calculate RV indirectly using gas dilution or body plethysmography, which are techniques that measure total lung capacity (TLC) and functional residual capacity (FRC). In the context of divers, medical researchers and engineers have developed an original test plan to determine the residual volume of the lungs during simulated diving using experimental determinations. In critical care settings, gastric residual volumes (GRV) can be measured to detect gastrointestinal dysfunction, although current practices vary. For peritoneal dialysis patients, estimating residual volume can be done by dilution of a marker molecule before and after filling the peritoneal cavity with dialysis fluid.
Can machine learning models be used to predict residual stress?5 answersMachine learning models can be used to predict residual stress. In a study, physiological signals were used along with machine learning models to detect stress responses. Electrocardiographic data recorded during different stress conditions was analyzed to extract time and frequency domain features. These features were then fed into different machine learning models, and the random forest classifier achieved an accuracy of 82.4% in predicting stress. The study also recorded additional signals in a non-laboratory environment and successfully determined the presence of stress using the suggested stress detection protocol. Therefore, machine learning models can be effective in predicting residual stress by analyzing physiological signals and extracting relevant features.
What are the effects of residual stress on the mechanical properties of concrete-filled steel tubes?5 answersThe effects of residual stress on the mechanical properties of concrete-filled steel tubes (CFSTs) have been studied in several papers. The presence of a gap between the steel tube and the core concrete in CFSTs due to inappropriate construction can result in a change in the load-carrying capacity. Inner steel L-profiles embedded in the core concrete can effectively improve the tensile performance of CFSTs, and the bond-slip constitutive relationship between the steel angle and core concrete has been analyzed. Detecting internal defects in CFST columns is important, and acoustic wave propagation has been used to study the internal defects of CFSTs. The use of demolished concrete lumps (DCLs) as partial coarse aggregate replacements in CFSTs has been investigated, and it has been found that DCLs have a slight effect on the mechanical performance of CFST columns. The residual bond strength between the steel tube and outside concrete after high temperature cooling has also been studied, and it has been observed that the bond failure load decreases with increasing temperature.
Which Residual Stress Model to Use for CHS ?5 answersResidual stress models commonly used for CHS columns include the ECCS model and prEN1993-1-14 model, but investigations have shown that these models do not adequately represent existing residual stresses. Experimental studies conducted at the University of Coimbra and Ruhr-Universitat Bochum have identified influencing parameters on residual stresses and developed a novel model for their representation. This model was validated using an extensive dataset from residual stress measurements and considered steel grades S235 to S890. Numerical stability analyses were then performed to investigate the effects of different residual stress approaches on the load-bearing behavior of steel columns and beams. Therefore, the novel model developed based on experimental studies is recommended for accurately representing residual stresses in CHS columns.
How can sensors be used to measure residual strength?5 answersSensors can be used to measure residual strength by relieving the locked-in stress in a structural part and registering the change in strain caused by the relaxation of the stress. One common method is the hole drilling method, which uses electrical strain gage rosettes as sensors. However, these sensors can be problematic in industrial environments. To overcome this, a new methodology using fiber optic Bragg sensors has been developed. These sensors have shown promising results in measuring residual stress profiles. In the field of structural health monitoring, the appropriate selection of sensors is crucial. Various sensing technologies have been used, and the selection depends on the specific requirements and challenges of the monitoring scheme. The implementation of sensor technologies in real-life schemes can be affected by several issues, which need to be considered.
What is the cost of transmission electron microscope?7 answers

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