Image segmentation techniques for real-time coverage measurement in shot peening processes

Shahid, Lubna; Janabi–Sharifi, Farrokh; Keenan, Patrick C.

doi:10.1007/s00170-016-9756-0

Cited by 12 publications

(8 citation statements)

References 22 publications

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“…This panel has the largest shot size, which on image acquisition displayed bright centers having a similar intensity as the background resulting in non-uniform illumination. This panel has the highest maximum error of 21.5% as discussed in [12] study, which has been reduced to 8.5% represented in Fig. 4.5.…”

Section: Discussionmentioning

confidence: 69%

“…The ANN has a marginal improvement in the accuracy compared to the previous methods in [12]. The 1083-D panel is observed to give a high error for previous methods; ANN reduces the maximum error down to 9.65%.…”

Section: Discussionmentioning

confidence: 78%

“…The limitation of the study [12] is highlighted on the 1083-D segmentation results. This panel has the largest shot size, which on image acquisition displayed bright centers having a similar intensity as the background resulting in non-uniform illumination.…”

Section: Discussionmentioning

confidence: 91%

“…Image segmentation techniques for shot peen coverage measurement: As discussed in the related works in Chapter 2, the literature lacks extensive work on previously developed image segmentation techniques for shot peened panels. This presented an opportunity to research relevant image segmentation methods and publish a paper comparing different methods used for shot peened panels [12]. The main contribution of this paper is that, to the best of our knowledge, it is the first paper applying and comparing image segmentation methods for coverage measurement of peened surfaces.…”

Section: Thesis Contributionmentioning

confidence: 99%

“…Chapter 2 presents a literature review and describes each segmentation methods while highlighting the contributions made in the published paper [12]. Chapter 3 outlines the experimental setup and the performance criteria used for result analysis.…”

Section: Thesis Structurementioning

confidence: 99%

See 4 more Smart Citations

Automatic coverage measurement of shot peened panels

Shahid¹

2021

Preprint

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Shot peening is the process of treating metallic surfaces with a regulated blast of shots to increase material strength and durability. Determining the coverage level of the shots is an important parameter in the assessment of the quality of treatment. Traditionally, coverage measurement is performed manually using a magnifying glass, which leads to inefficiency. Despite the proposal for the use of image segmentation techniques for determining the coverage measurement, literature on this topic is not extensively developed. In this thesis, various relevant image segmentation techniques are investigated including thresholding, edge detection, watershed segmentation, active contour, graph cut and neural network. The aim is to develop a generic coverage measurement algorithm, which is accurate and robust to variations in illumination, shot type, coverage level and has real-time capabilities using a simple experimental setup. The results obtained from each method are discussed and compared against a set of relevant performance criteria.

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Section: Discussionmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 91%

Section: Thesis Contributionmentioning

confidence: 99%

Section: Thesis Structurementioning

confidence: 99%

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Automatic coverage measurement of shot peened panels

Shahid¹

2021

Preprint

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The feasibility research on shot-peen forming of the novel fiber metal laminates based on aluminum-lithium alloy

Zhang

Jiang

et al. 2018

Int J Adv Manuf Technol

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Determination of the optimal coverage for heavy-duty-axle gears in shot peening

Yan

Zhu

Chen

et al. 2021

Int J Adv Manuf Technol

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Pitting and wear often appear on heavy-duty-axle gears due to their harsh working conditions, such as high torques, high loads and poor lubrication. Shot peening is a popular surface strengthening method for gears. In order to ensure complete coverage during shot peening, 100%~200% coverage is usually prescribed for most gears. However, it is difficult to effectively improve the contact fatigue and wear resistance of heavy-duty-axle gears. Generally, increasing shot peening coverage can heighten the compressive residual stress for prolonging the service lifetime of gears. Whereas, high coverage levels may cause the deterioration of surface roughness, thus increase the noise and vibration of gears. To address this issue, this paper deals with the determination of optimal coverage for heavy-duty-axle gears by experimental tests. The influence of shot peening coverage on the surface integrity of gears is analyzed in terms of residual stress, microhardness, surface morphology and dislocation density. The results show that the maximum compressive residual stress increases first and then keeps stable with the increase of coverage, and the maximum value is −1172.10 MPa. The microhardness peak increases obviously in the beginning and then slowly rises with the increase of coverage, and the maximum value is 747.5 HV1.0. The surface roughness (Ra) decreases initially and then enhances with the increase of coverage, and the minimum value is 0.99 μm under the coverage of 1000%. The dislocation density increases with the increase of coverage, and the maximum value is 3.70×10 16 m -2 . Numerous damages (microscalings, spallings) occur on the treated gear tooth flank affecting the residual stress distribution and roughness under high coverage levels. Taking into consideration of service lifetime, working noise and economic efficiency, the coverage of 1000% is the optimal coverage for heavy-duty-axle gears in shot peening.

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Image segmentation techniques for real-time coverage measurement in shot peening processes

Cited by 12 publications

References 22 publications

Automatic coverage measurement of shot peened panels

Automatic coverage measurement of shot peened panels

The feasibility research on shot-peen forming of the novel fiber metal laminates based on aluminum-lithium alloy

Determination of the optimal coverage for heavy-duty-axle gears in shot peening

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