SThM-based local thermomechanical analysis: Measurement intercomparison and uncertainty analysis

Guen, E.; Klapetek, Petr; Puttock, Robert; Hay, Bruno; Allard, Alexandre; Maxwell, Tony; Chapuis, Pierre-Olivier; Renahy, David; Davée, Guillaume; Valtr, Miroslav; Martínek, Jan; Kazakova, Olga; Gomès, Séverine

doi:10.1016/j.ijthermalsci.2020.106502

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…Semi-crystalline polymers of polycaprolactone (PCL), LDPE, polyoxymethylene (POM), PET, PS, polymethyl methacrylate (PMMA), polycarbonate (PC), and the like, and the phase transition temperature for amorphous polymers, have also been studied using the nano-TA analysis method [82].…”

Section: Nano Thermal Analysismentioning

confidence: 99%

Methods of Analyzing Microsized Plastics in the Environment

et al. 2021

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Microplastics are found in various environments with the increasing use of plastics worldwide. Several methods have been developed for the sampling, extraction, purification, identification, and quantification of microplastics in complex environmental matrices. This study intends to summarize recent research trends on the subject. Large microplastic particles can be sorted manually and identified through chemical analysis; however, sample preparation for small microplastic analysis is usually more difficult. Microplastics are identified by evaluating the physical and chemical properties of plastic particles separated through extraction and washing steps from a mixture of inorganic and organic particles. This identification has a high risk of producing false-positive and false-negative results in the analysis of small microplastics. Currently, a combination of physical (e.g., microscopy), chemical (e.g., spectroscopy), and thermal analyses is widely used. We aim to summarize the best strategies for microplastic analysis by comparing the strengths and limitations of each identification method.

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Section: Nano Thermal Analysismentioning

confidence: 99%

Methods of Analyzing Microsized Plastics in the Environment

et al. 2021

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“…Controling the factors that generate uncertainty during the test process improves the experimental accuracy [13][14]. Simultaneously, providing measurement uncertainty in the test results can further clarify the credibility of the measurement results and provide a basis for the judgment of experimental conclusions [15].…”

Section: Introductionmentioning

confidence: 99%

Measurement uncertainty of vertical combustion test of civil aircraft interior materials

2024

J. Phys.: Conf. Ser.

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The civil cabin interior materials vertical combustion test is the necessary test to verify the flame retardancy ability of the floor coverings, textiles, seat cushions and cushions. It is an inspection step required for cabin interior materials before installation, which is of great significance for the safe flight of civil aircraft. During the experiment process, variable factors such as personnel and equipment are highly likely to impact the test results. To ensure the reliability of test results, it is necessary to summarize and evaluate the factors that may affect the results of the test process. Thus, in this paper, the test method, measurement model, and sources of measurement uncertainty have been analysed, and the calculation case of experimental measurement uncertainty has been introduced.

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“…Among these measurement methods, the Scanning Thermal Microscopy (SThM) [2,3] is the most used technique as it enables to reach a lateral resolution less than 100 nm with appropriate probes [4,5], whereas optical approaches such as photothermal radiometry [6], thermo-reflectance [7], and photo-reflectance [8] are limited by light diffraction and have thus higher lateral spatial resolution. Based on conventional atomic force microscopy (AFM) equipped with a miniaturised thermal sensor, SThM devices have been developed actively since the 1990s in order to operate either in passive mode for surface temperature measurements [9] or in active mode for phase transition detection [10], thermal contact resistance [11], and thermal conductivity contrast imaging [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Measurement of Thermal Conductivity by SThM Technique: Measurements, Calibration Protocols and Uncertainty Evaluation

Fleurence,

Demeyer,

Allard

et al. 2023

Nanomaterials

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Thermal management is a key issue for the downsizing of electronic components in order to optimise their performance. These devices incorporate more and more nanostructured materials, such as thin films or nanowires, requiring measurement techniques suitable to characterise thermal properties at the nanoscale, such as Scanning Thermal Microscopy (SThM). In active mode, a hot thermoresistive probe scans the sample surface, and its electrical resistance R changes as a function of heat transfers between the probe and sample. This paper presents the measurement and calibration protocols developed to perform quantitative and traceable measurements of thermal conductivity k using the SThM technique, provided that the heat transfer conditions between calibration and measurement are identical, i.e., diffusive thermal regime for this study. Calibration samples with a known k measured at the macroscale are used to establish the calibration curve linking the variation of R to k. A complete assessment of uncertainty (influencing factors and computational techniques) is detailed for both the calibration parameters and the estimated k value. Outcome analysis shows that quantitative measurements of thermal conductivity with SThM (with an uncertainty value of 10%) are limited to materials with low thermal conductivity (k<10Wm−1K−1).

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SThM-based local thermomechanical analysis: Measurement intercomparison and uncertainty analysis

Cited by 13 publications

References 18 publications

Methods of Analyzing Microsized Plastics in the Environment

Methods of Analyzing Microsized Plastics in the Environment

Measurement uncertainty of vertical combustion test of civil aircraft interior materials

Quantitative Measurement of Thermal Conductivity by SThM Technique: Measurements, Calibration Protocols and Uncertainty Evaluation

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