2017
DOI: 10.21285/1814-3520-2017-11-45-52
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To the Problem of Shot Peening Coverage Degree Determination

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Cited by 6 publications
(10 citation statements)
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“…The dimples in the form of voids has a shape close to spherical with radii of shot (1.5-3 mm) [10], much larger than the depth of dimples (tens of microns), so the volume of dimples has a significant impact on the volume of the metal removed. Therefore, the area covered with dimples on the treated surface and the volume of metal is not directly proportional to the cutting depth.…”
Section: Introductionmentioning
confidence: 99%
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“…The dimples in the form of voids has a shape close to spherical with radii of shot (1.5-3 mm) [10], much larger than the depth of dimples (tens of microns), so the volume of dimples has a significant impact on the volume of the metal removed. Therefore, the area covered with dimples on the treated surface and the volume of metal is not directly proportional to the cutting depth.…”
Section: Introductionmentioning
confidence: 99%
“…The depth of dimples for control in this case is proposed in the form of a mathematical expectation of the depth of the remaining dimples on the base surface area. Similar to the definition of the mathematical expectation of the radius of dimples in [10], the averaged depth ha can be determined by the following formula:…”
Section: Introductionmentioning
confidence: 99%
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“…The dimples as the traces of shot on the new micro-relief have different diameters and depths, which significantly exceed a level of micro-roughness from previous machining. At the same time, a distribution of these dimples on the treated surface is chaotic (random) [5,6]. An actual combination of micro-relief of these operations lets to form a new micro-relief of the part surface.…”
mentioning
confidence: 99%
“…Due to a chaotic distribution of dimples on the treated surface [1], similarly to a method for determining a height of micro-roughness within a base length (Rz), a height of profile micro-roughness within a base area (Sz) [6,8] can be determined by the following formula (2):…”
mentioning
confidence: 99%