Shot-blasting as a means of preparing surfaces for plasma deposition

This paper examines how the grit blasting process influences the surface roughness of different substrates, the grit residue, and the grit erosion. The influence of grit blasting conditions on induced substrate residual stresses is also discussed. Aluminum alloy, cast iron, and hard steel were blasted with white alumina grits of 0.5, 1, and 1.4 mm mean diameters. Grit blasting was performed using either a suctiontype or a pressure-type machine equipped with straight nozzles made of B4C. The influence of the following parameters was studied: grit blasting distance (56 to 200 mm), blasting time (3 to 30 s), angle between nozzle and blasted surface (30 ~ 60 ~ 90~ and blasting pressure (0.2 to 0.7 MPa). The roughness of the substrate was characterized either by using a perthometer or by image analysis. The grit residue remaining at the blasted surface was evaluated after cleaning by image analysis. The residual stresses induced by grit blasting were determined by using the incremental hole drilling method and by measuring the deflection of grit-blasted beams. Grit size was determined to be the most important influence on roughness. The average values of Ra andRt and the percentage of grit residue increased with grit size as well as the depth of the plastic zone under the substrate. An increase of the pressure slightly increased the values of Ra and Rt but also promoted grit breakdown and grit residue.A blasting time of 3 to 6 s was sufficient to obtain the highest roughness and limit the grit breakdown. The residual stresses generated under the blasted surface were compressive, and the depth of the affected zone depended on the grit diameter, the blasting pressure, and the Young's modulus of the substrate. Moreover, the maximum residual stress was reached at the limit of the plastic zone (i.e., several tenths of a millimeter below the substrate surface).

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Alumina grit blasting parameters for surface preparation in the plasma spraying operation

Mellali

Grimaud

Léger

et al. 1997

J Therm Spray Tech

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Nondestructive, fast, and cost-effective image processing method for roughness measurement of randomly rough metallic surfaces

2018

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In recent years, various surface roughness measurement methods have been proposed as alternatives to the commonly used stylus profilometry, which is a low-speed, destructive, expensive but precise method. In this study, a novel method, called "image profilometry," has been introduced for nondestructive, fast, and low-cost surface roughness measurement of randomly rough metallic samples based on image processing and machine vision. The impacts of influential parameters such as image resolution and filtering approach for elimination of the long wavelength surface undulations on the accuracy of the image profilometry results have been comprehensively investigated. Ten surface roughness parameters were measured for the samples using both the stylus and image profilometry. Based on the results, the best image resolution was 800 dpi, and the most practical filtering method was Gaussian convolution+cutoff. In these conditions, the best and worst correlation coefficients (R) between the stylus and image profilometry results were 0.9892 and 0.9313, respectively. Our results indicated that the image profilometry predicted the stylus profilometry results with high accuracy. Consequently, it could be a viable alternative to the stylus profilometry, particularly in online applications.

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Shot-blasting as a means of preparing surfaces for plasma deposition

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Alumina grit blasting parameters for surface preparation in the plasma spraying operation

Alumina grit blasting parameters for surface preparation in the plasma spraying operation

Nondestructive, fast, and cost-effective image processing method for roughness measurement of randomly rough metallic surfaces

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