Particle and Particle Agglomerate Size Monitoring by Scanning Probe Microscope

Gulyaev, P. V.; Krenický, Tibor; Shelkovnikov, E. Yu.; Коршунов, Александр Иванович

doi:10.3390/app12042183

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…These are mainly applied in the field of mechanical engineering, mechatronics, robotics, production engineering, machining, biomedical engineering, automotive engineering, tribology, microsystems, precision mechanics, etc. [66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85].…”

Section: Discussionmentioning

confidence: 99%

Measuring Procedures for Evaluating the Surface Roughness of Machined Parts

Palová,

Kelemenová,

Kelemen

2023

Applied Sciences

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This article deals with the problems that arise during the evaluation of the surface of the components, which can have a fundamental impact on the functionality and service life of the component as well as the entire product. A fast method for estimating the condition and maximum error of the surface tester used for assessing the surface roughness of components was proposed. Using the secondary surface roughness standard, a uniform distribution law of the measured data was experimentally identified as a suitable model, according to which it is then possible to determine the coverage factor for determining the measurement uncertainty. The design of surface roughness measurement methodology for Ra determination is critical when selecting optimal settings of conditions and measurement parameters for various types of component surface treatment technologies. This is mainly due to the effect of the selection of the evaluation standard, the effect of the measurement speed, and the effect of setting the cut-off filter for the evaluation of the quantity Ra. Etalon samples of surface roughness realized by different technologies were used for experimental verification of these phenomena. Large sets of measurements were carried out on selected samples from each technology, and, accordingly, a methodology was proposed for determining the optimal number of measurements for determining the surface roughness of the investigated component, which represents an important factor for achieving measurement results with minimal measurement uncertainties at low financial costs.

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Section: Discussionmentioning

confidence: 99%

Measuring Procedures for Evaluating the Surface Roughness of Machined Parts

Palová,

Kelemenová,

Kelemen

2023

Applied Sciences

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“…Observations of the size and distribution of the sample were made, and photographs were taken using the microscope. The built-in software of the microscope was utilized to analyze the number and size characteristics of the particles in the images, allowing for the calculation of the sample's dispersibility (Gulyaev et al, 2022).…”

Section: Dispersibility Of Coal Dustmentioning

confidence: 99%

Effectiveness and mechanism of microbial dust suppressant on coal dust with different metamorphosis degree

Zhao,

Li,

et al. 2024

Preprint

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The extraction of coal from open-pit mines significantly contributes to environmental degradation, posing grave risks to human health and the operational stability of machinery. In this milieu, microbial dust suppressants leveraging Microbially Induced Carbonate Precipitation (MICP) demonstrate substantial potential for application. This manuscript undertakes an exploration of the dust mitigation efficiency, consolidation attributes, and the fundamental mechanisms of microbial dust suppressants across coal dust samples with varying metamorphic gradations. Empirical observations indicate that, in resistance tests against wind and rain, lignite coal underwent mass losses of 7.43 g·m-2·min-1 and 98.62 g·m-2·min-1, respectively. The production of consolidating agents within the lignite dust, attributable to the microbial suppressants, was measured at 0.15 g per unit mass, a value 1.25 and 1.07 times greater than that observed in bituminous coal and anthracite, respectively. Scanning Electron Microscopy coupled with X-ray Energy Dispersive Spectroscopy (SEM-EDS) and X-ray Diffraction (XRD) analyses illuminated that the consolidating products within the coal dust predominantly constituted calcite and vaterite forms of calcium carbonate. The consolidation mechanism of coal dust via microbial suppressants is articulated as follows: Subsequent to the application on coal dust, the suppressants induce the formation of carbonate precipitates with inherent adhesive properties. These carbonates affix to the surfaces of coal dust particles, progressively encapsulating them. Furthermore, they play a pivotal role in bridging and filling the interstices between adjacent dust particles, thereby culminating in the genesis of a dense, cohesive mass capable of withstanding erosive forces.

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Particle and Particle Agglomerate Size Monitoring by Scanning Probe Microscope

Cited by 2 publications

References 32 publications

Measuring Procedures for Evaluating the Surface Roughness of Machined Parts

Measuring Procedures for Evaluating the Surface Roughness of Machined Parts

Effectiveness and mechanism of microbial dust suppressant on coal dust with different metamorphosis degree

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