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contributor authorGuo, Xiangyu
contributor authorLee, ChaBum
date accessioned2022-02-05T21:41:56Z
date available2022-02-05T21:41:56Z
date copyright10/27/2020 12:00:00 AM
date issued2020
identifier issn1087-1357
identifier othermanu_143_4_041006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276162
description abstractThis paper presents a novel thickness profile measuring system that measures double-sided thin pipe wall surfaces in a non-contact, continuous, cosine error-free, and fast manner. The surface metrology tool path was developed to align the displacement sensors always normal to the double-sided surfaces to remove cosine error. A pair of capacitive-type sensors that were placed on the rotary and linear axes simultaneously scans the inner and outer surfaces of thin walls. Because the rotational error of the rotary axis can severely affect the accuracy in thickness profile measurement, such error was initially characterized by a reversal method. It was compensated for along the rotational direction while measuring the measurement target. Two measurement targets (circular and elliptical metal pipe-type thin walls) were prepared to validate the developed measurement method and system. Not only inner and outer surface profiles but also thin-wall thickness profiles were measured simultaneously. Based on the output data, the circularity and wall thickness variation were calculated. The thickness profile results showed a good agreement with those obtained by a contact-type micrometer (1-µm resolution) at every 6-deg interval. The uncertainty budget for this measuring system with metrology tool path planning was estimated at approximately 1.4 µm.
publisherThe American Society of Mechanical Engineers (ASME)
titleCosine Error-Free Metrology Tool Path Planning for Thickness Profile Measurements
typeJournal Paper
journal volume143
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4048433
journal fristpage041006-1
journal lastpage041006-8
page8
treeJournal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 004
contenttypeFulltext


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