| Autor: |
Lu, Qianhai, Kong, Lingfei, Tian, Dongzhuang, Sun, Jin, Li, Longlong, Gong, Chunyuan |
| Zdroj: |
Multimedia Tools & Applications; Dec2023, Vol. 82 Issue 29, p45983-46010, 28p |
| Abstrakt: |
Drill pipe joint's thread quality directly affects the machining performance and the drill pipe's service life. Machine vision can quickly detect thread parameters to determine the thread processing quality, but this method has low thread measurement accuracy due to factors such as drill pipe joint inclination and tooth shape distortion. This paper proposes a thread detection compensation algorithm based on thread geometry space and thread section projection theory to promote machine vision inspection accuracy. The distortion mechanism of thread section image caused by the drill pipe joint in an inclined state is revealed and a taper thread mathematical model is proposed. The difference equation is obtained by subtracting the projected contour from the theoretical contour, and the extreme value is obtained to correct the thread contour in the inclined state. Experiments show that the thread profile angle compensation efficiency can be increased by 60% under inclined conditions, and the requirements for the placement of drill pipe joints are reduced. A good agreement of the standard measurement with the experimental data proves the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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