一种用于齿轮加工过程中的齿厚检测方法
By using structured light scanning and an improved tooth thickness mapping algorithm, the gear point cloud data is accurately identified and the deviation vector is calculated. This solves the problems of fuzzy region division and coarse deviation processing in existing tooth thickness detection, and achieves accurate detection of the tooth thickness of a single gear tooth.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LAI ZHOU SHI BA LI SHI YOU JI XIE YOU XIAN GONG SI
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing gear tooth thickness detection technology cannot accurately reflect the actual machining deviation on both sides of a single tooth. Conventional detection methods suffer from problems such as vague area division and coarse deviation processing.
Gear point cloud data is acquired using a structured light scanning device to construct a theoretical tooth surface model. An improved tooth thickness mapping algorithm is used to identify the tooth apex, tooth root, and two sides of the tooth surface region in a unified coordinate system. The deviation vector set is calculated, and radial and tangential projection decomposition is performed to generate the tooth thickness deviation distribution curve.
It achieves accurate detection of the tooth thickness of a single gear tooth, optimizes the purity and directionality of deviation data, and directly reflects the actual machining state with tooth thickness difference results. The algorithm logic fits the spatial geometric relationship between tooth profile deviation and tooth thickness.
Smart Images
Figure CN122199527B_ABST