Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples

Mengesha, Betelhiem N.; Grizzle, Andrew C.; Demisse, Wondwosen; Klein, Kate L.; Elliott, Amy; Tyagi, Pawan

doi:10.3390/ma16186301

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…The K-means method was used to analyze the scratch width of electroless nickel plating on composite components [99]. Scratch testing was performed with a Taber Scratch tester.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing

Mandziy,

Ivasenko,

Berehulyak

et al. 2024

Lubricants

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The improvement of drilling rig systems to ensure a reduction in unproductive time spent on lowering and lifting operations for replacing drilling tools and restoring the performance of drilling equipment units is an important task. At the same time, considerable attention is paid to the reliable and efficient operation of the braking systems of drilling rig winches. In the process of operation, the polymer pads periodically come into contact with the outer cylindrical surface of the metal pulley during braking, work in extreme conditions and wear out intensively, so they need periodic replacement. Tests were carried out on a modernized stand and in industrial conditions for the brakes of drilling winches. A methodology for evaluating the degradation of the brake pad friction surface during its operation is proposed. The assessment of the degradation degree is carried out based on the image of the brake pad surface using image processing techniques. Geometric transformations of the input image were performed to avoid perspective distortions caused by the concave shape of the brake pads and the spatial angle at which the image is acquired to avoid glares. The crack detection step was implemented based on the scale-space theory, followed by contour detection and skeletonization. The ratios of the area and perimeter of segmented and skeletonized cracks to the total area were chosen as integral characteristics of the degradation degree. With the help of scanning electron microscopy, the character of the destruction of the friction surface and the degradation of the polymer material was investigated. Experimental studies were performed, and the application of the proposed method is illustrated.

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“…The K-means method was used to analyze the scratch width of electroless nickel plating on composite components [99]. Scratch testing was performed with a Taber Scratch tester.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing

Mandziy,

Ivasenko,

Berehulyak

et al. 2024

Lubricants

View full text Add to dashboard Cite

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“…The perfluorosulfonic acid membrane composite of rare earth elements europium (III) and terbium (III) chlorides has a maximum dispersion and corresponding loss [ 10 ]. Deep machine learning was used to determine the strong coupling relationship between the relative surface hardness of electroless nickel plating on a laser-formed workpiece and the scratch width parameter [ 11 ]. The optimization method of annealing parameters via nanometer angle analysis for electroless nickel plating was used in [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Stress Distribution in Wear Analysis of Nano-Y2O3 Dispersion Strengthened Ni-Based μm-WC Composite Material Laser Coating

Tao,

Yang,

Zhu

et al. 2023

Materials

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Oxide-dispersion- and hard-particle-strengthened (ODS) laser-cladded single-layer multi-tracks with a Ni-based alloy composition with 20 wt.% μm-WC particles and 1.2 wt.% nano-Y2O3 addition were produced on ultra-high-strength steel in this study. The investigation of the composite coating designed in this study focused on the reciprocating friction and wear workpiece surface under heavy load conditions. The coating specimens were divided into four groups: (i) Ni-based alloy, nano-Y2O3, and 2 μm-WC (2 μm WC-Y/Ni); (ii) Ni-based alloy with added 2 μm-WC (2 μmWC/Ni); (iii) Ni-based alloy with added 80 μm-WC (80 μmWC/Ni); and (iv) base metal ultra-high-strength alloy steel 30CrMnSiNi2A. Four conclusions were reached: (1) Nano-Y2O3 could effectively inhibit the dissolution of 2 μm-WC. (2) It can be seen from the semi-space dimensionless simulation results that the von Mises stress distribution of the metal laser composite coating prepared with a 2 μm-WC particle additive was very uniform and it had better resistance to normal impact and tangential loads than the laser coating prepared with the 80 μm-WC particle additive. (3) The inherent WC initial crack and dense stress concentration in the 80 μm-WC laser coating could easily cause dislocations to accumulate, as shown both quantitatively and qualitatively, resulting in the formation of micro-crack nucleation. After the end of the running-in phase, the COF of the 2 μm-WC-Y2O3/Ni component samples stabilized at the minimum of the COF of the four samples. The numerical order of the four COF curves was stable from small to large as follows: 2 μm-WC-Y2O3/Ni, 2 μm-WC/Ni, 80 μm-WC/Ni, and 30CrMnSiNi2A. (4) The frictional volume loss rate of 2 μm-WC-Y2O3/Ni was 1.3, which was significantly lower than the corresponding values of the other three components: 2.4, 3.5, and 13.

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Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples

Cited by 2 publications

References 27 publications

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing

Stress Distribution in Wear Analysis of Nano-Y2O3 Dispersion Strengthened Ni-Based μm-WC Composite Material Laser Coating

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