锻造
GSM演进的增强数据速率
计量系统
计算机视觉
准确度和精密度
体积热力学
计算机科学
人工智能
数学
工程类
机械工程
物理
统计
天文
量子力学
作者
Jakub Hurník,Aneta Zatočilová,Daniel Koutný,David Paloušek
出处
期刊:Measurement
[Elsevier BV]
日期:2022-05-01
卷期号:194: 111059-111059
被引量:8
标识
DOI:10.1016/j.measurement.2022.111059
摘要
In this study, a new passive camera system for heavy cylindrical forging measurement, based on silhouettes in images, is developed. New methods for making such a system more resistant to the negative effects of the industrial environment have been proposed. This includes weighted edge filtering based on complementary information about the edge quality in an image. The recorded measurement median errors were ±0.12 mm and ±0.14 mm. Moreover, the 95% confidence intervals were ±0.5 mm and ±1 mm for the forging axis and diameter measurements, respectively. Both results were achieved in a measurement volume of 6 × 6 × 2 m during the measurement of glowing hot forgings in industrial conditions. The results surpass those of the state-of-the-art method, mainly in the case of axis straightness measurement, by approximately 50%. The measurement is fast, and it provides feedback about the axis straightness for its subsequent correction.
科研通智能强力驱动
Strongly Powered by AbleSci AI