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contributor authorHu, Pengcheng
contributor authorZhou, Huicheng
contributor authorTang, Kai
contributor authorLee, Chenhan
contributor authorChen, Jihong
contributor authorYang, Jianzhong
contributor authorLi, Lei
date accessioned2019-02-28T11:02:16Z
date available2019-02-28T11:02:16Z
date copyright4/2/2018 12:00:00 AM
date issued2018
identifier issn1087-1357
identifier othermanu_140_07_071001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251974
description abstractBarrel-shaped surfaces are widely used in industries, e.g., blades, vases, and tabular parts. Because a part such as an aero-engine blade is typically quite large, the efficiency of its measurement becomes a critical issue. The recently emerged five-axis sweep scanning technology offers to be a powerful means to significantly increase the efficiency of measurement. However, currently it still mostly relies on humans to manually plan a five-axis sweep scanning path, and in most cases, the surface is simply divided into a number of smaller open patches for which the sweep scanning is then individually planned. We present an algorithm for automatically planning the five-axis sweep scanning for an arbitrary barrel-shaped surface in the form of either a compound, a trimmed, or a simple surface. The planning algorithm is novel in that no partitioning of the surface is needed and a single continuous five-axis sweep scanning path will be generated for the entire surface. By eliminating the nonsweeping time spent by the stylus due to its air-moves between multiple patches and also the time-costly approach-retraction operations required for each patch, the proposed algorithm is able to significantly reduce the total inspection time, sometimes more than 50%, as validated in our physical inspection experiments.
publisherThe American Society of Mechanical Engineers (ASME)
titleSpiral Curve-Based Efficient Five-Axis Sweep Scanning of Barrel-Shaped Surfaces
typeJournal Paper
journal volume140
journal issue7
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4039383
journal fristpage71001
journal lastpage071001-16
treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 007
contenttypeFulltext


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