A visual measurement method of the three-dimensional coordinates of the center of forgings with asymmetric flash for the intelligent hammer die forging

Wang, Aiming; Zhang, Zihang; Qiao, Runtian

doi:10.1016/j.measurement.2023.112581

Cited by 2 publications

(1 citation statement)

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“…At present, many scholars have studied non-contact measurement methods for hot forgings, mainly including machine vision [9][10][11] and laser scanning [12][13][14]. Machine vision measurement has the advantages of large measurement range, fast measurement speed, and low equipment cost, the machine vision technique can get abundant information within the scope of the camera view at the same time, which shows good applicability to measuring the dimensions of hot forgings.…”

Section: Introductionmentioning

confidence: 99%

The real-time vision measurement of multi geometric information of the rolled ring in the hot ring rolling process based on deep learning

Huang,

Wang,

Dong

et al. 2023

Meas. Sci. Technol.

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Hot ring rolling (HRR) is an advanced incremental metal-forming technology to manufacture high-performance rings. Nowadays, the mechanical or laser-sensors measurement methods can only obtain one value of the dimensions on the ring circumference per time unit, the measurement data is single and the information is limited. This paper presents a real-time vision measurement method for multi geometric information of the rolled ring such as ring’s diameter, center position, circularity and growth speed in HRR process. Firstly, the deep learning model is constructed to intelligently and quickly identify rolled ring targets from complex image backgrounds, then the adaptive linear gray scale transformation algorithm is proposed to adjust the gray scale contrast of the image according to changes in ring temperature, the interference of oxide scales and flying chips are eliminated by morphology operation. Finally, the least square method is used to fit the contour points, and further the rolled ring’s geometric information and corresponding variation trend are calculated. Several experiments are conducted on a vertical HRR mill, the geometric information of the rolled ring during the HRR is measured in real-time under the interference of harsh working conditions. For the ring with outer diameter of 350 mm, the measurement error of ring’s outer and inner diameter is less than 0.8 mm, the average processing time per image takes about 80 ms. The research provides a basis for accurate measurement of HRR process.

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