Velocity Measuring Method and Precision Analysis of Underwater High-speed 
 Supercavitation Projectile Based on High-speed Camera

Li, Chaowei; Gao, Jin Xia; Chao, Hongxiao; Liu, Hong

doi:10.3923/jas.2013.2057.2061

Cited by 2 publications

(3 citation statements)

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“…Innovations in optical technology brought forth a new wave of measurement techniques for projectile motion [9]. High-speed photography, in particular, revolutionized the process by capturing the trajectory of the projectile and using strobe lights to calculate parameters like speed and acceleration [10]. Despite providing a visually intuitive data representation, this method is marred by high equipment costs and stringent lighting condition requirements.…”

Section: Introductionmentioning

confidence: 99%

A measurement method of in-bore projectile motion acceleration based on bottom pressure correction

Zhang,

Peng,

Liu

et al. 2024

Meas. Sci. Technol.

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Due to factors such as high temperatures, elevated pressures, and severe high-frequency shocks in the bore, there is considerable noise interference in acceleration test signals. This makes it challenging to accurately measure projectile motion acceleration using existing methods. To address this issue, we propose an advanced measurement approach that uses bottom pressure correction. Our model suggests a significant correlation between projectile motion acceleration and thrust. By utilizing the correlations between bottom pressure and motion acceleration in both temporal and frequency domains, we can improve the accuracy of acceleration measurements. Based on these insights, we have developed a novel testing system that synchronously measures bottom pressure and acceleration, using bottom pressure as a corrective mechanism for the measured acceleration signals. Empirical results show that the maximum relative error in peak motion acceleration is only 4.86%, demonstrating the effectiveness of our proposed method.

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Section: Introductionmentioning

confidence: 99%

A measurement method of in-bore projectile motion acceleration based on bottom pressure correction

Zhang,

Peng,

Liu

et al. 2024

Meas. Sci. Technol.

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show abstract

“…Accurate measurement of super-cavitation morphological parameters for the cross-media projectile is the basis for highspeed projectile structural design and optimization, and has become one of the research hotspots of the underwater ballistic testing field [2]. With the development of the high-speed photography and the image processing technology, many researchers have conducted related researches on the super-cavitation contour feature extraction algorithms to reduce the huge workload of manual interpretation [3][4][5][6][7]. Chen et al preliminary obtained the super-cavitation image boundary through the image edge processing algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al preliminary obtained the super-cavitation image boundary through the image edge processing algorithm. Li et al summed up a set of automatic image acquisition techniques suitable for application in super-cavitation water tunnel experiments by performing image filtering and denoising, grayscale stretching, image calibration, edge detection, etc., and obtained super-cavitation morphological parameters such as cavitation shape and vibration period from high-speed camera image sequences [5]. Hou et al proposed an adaptive multi-scale wavelet edge detection algorithm to detect the edge of super-cavitation images aiming at reducing the noise problem [6].…”

Section: Introductionmentioning

confidence: 99%

Super-cavitation contour extraction method based on multi-scale space

Kong

Chen

Wan

et al. 2023

International Conference on Optical and Photonic Engineering (icOPEN 2022)

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Super-cavitation morphological parameter information of the cross-media projectile reflects high-speed projectiles motion characteristics. Accurate measurement of super-cavitation morphological parameters is the basis for high-speed projectile structural design and optimization, becoming a research hotspot of the underwater ballistic testing field. With the development of the high-speed photography technology, recording the evolution process of projectile cavitation morphologies by high-speed cameras and acquiring super-cavitation morphological information through image processing methods have become one of the main research directions. Aiming at reducing the large workload of manual interpretation from super-cavitation images, a multi-scale space-based automatic contour extraction algorithm for supercavitation images captured by the array cross-media high-speed imaging system is introduced in this paper. The Canny edge detection method is applied to obtain the binary edge image with coarse extraction super-cavitation edge after image pre-processing. The super-cavitation contour point set is searched in the binary edge image and small gaps between adjacent endpoints are filled at the same time. The contour extraction algorithm based on the multi-space curvature characteristics is presented to calculate the curvature value of each contour point in the high-scale space, and the curvature feature points are determined by the threshold judgment approach. The contour feature points extracted in the high-scale space are located in the low-scale space precisely, and the super-cavitation contour is extracted. Experimental results show that, the proposed method can reduce the workload from manual interpretation while improve the accuracy of contour positioning, which can provide basic data support for the cross-media high-speed projectile super-cavitation morphological parameter measurement.

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Velocity Measuring Method and Precision Analysis of Underwater High-speed Supercavitation Projectile Based on High-speed Camera

Cited by 2 publications

References 0 publications

A measurement method of in-bore projectile motion acceleration based on bottom pressure correction

A measurement method of in-bore projectile motion acceleration based on bottom pressure correction

Super-cavitation contour extraction method based on multi-scale space

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