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contributor authorShih, Yi-Pei
contributor authorZhan, Shi-Ting
contributor authorHong, Jia-Liang
contributor authorLee, Yi-Hui
date accessioned2026-08-23T08:25:51Z
date available2026-08-23T08:25:51Z
date copyright2026/04/01
date issued2026
identifier issn1087-1357
identifier othermanu-25-1641.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4316542
description abstractAbstract. This article presents an automated, noncontact optical method for measuring bevel gears, using a line-laser triangulation sensor mounted on a five-axis CNC machine. In the proposed configuration, the table-tilting axis adjusts the laser beam's incident angle, while the other four axes move the sensor to scan the entire tooth surface. The automated measurement system is designed to synchronize real-time data collection from the laser sensor and the machine controller, allowing for accurate reconstruction of the gear's tooth surface geometry. First, a comprehensive mathematical model must be established to describe the spatial transformations between the laser sensor and gear coordinate systems. The measurement algorithm involves profile denoising, convex–concave segmentation, polynomial curve fitting, and triangulated surface reconstruction for both pitch and flank evaluations. An experimental measurement of a bevel gear was conducted using a blue-laser sensor, and the reconstructed tooth surfaces were compared with those obtained from a Klingelnberg P40 measuring machine. The results show that the measurement deviations were less than 25 µm, demonstrating strong agreement with the commercial measuring results. These experimental results verify the accuracy, reliability, and applicability of the proposed method for advanced bevel-gear manufacturing and inspection.
publisherThe American Society of Mechanical Engineers (ASME)
titleDevelopment of an Automated Line-Laser System for Noncontact Measurement of Bevel Gears
typeJournal Paper
journal volume148
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4071012
journal fristpage725
journal lastpage751
page27
treeJournal of Manufacturing Science and Engineering:;2026:;volume( 148 ):;issue:004
contenttypeFulltext


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