2021
DOI: 10.1007/s11771-021-4701-2
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Tooth surface error correction of hypoid gears machined by duplex helical method

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Cited by 4 publications
(2 citation statements)
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“…Compared with the traditional rolling detection technology of the tooth surfaces, the detection efficiency and accuracy are obviously improved. Combined with that, many scholars have deeply studied the digital measurement [4][5][6][7] and feedback correction [8][9][10][11][12][13][14][15][16] technologies of the hypoid gear tooth surface errors. Undeniably, the related research results have provided a good theoretical foundation and solutions for improving the tooth surface quality before heat treatment of the hypoid gears and have been widely used in the tooth surface machining and detection of hypoid gears in enterprises.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the traditional rolling detection technology of the tooth surfaces, the detection efficiency and accuracy are obviously improved. Combined with that, many scholars have deeply studied the digital measurement [4][5][6][7] and feedback correction [8][9][10][11][12][13][14][15][16] technologies of the hypoid gear tooth surface errors. Undeniably, the related research results have provided a good theoretical foundation and solutions for improving the tooth surface quality before heat treatment of the hypoid gears and have been widely used in the tooth surface machining and detection of hypoid gears in enterprises.…”
Section: Introductionmentioning
confidence: 99%
“…How to generate the NC machining programme quickly and accurately is a key link to realise the gear cutting. With the rapid development of computer technology, great progress has been made in the fields of tooth surface precision modeling, simulation processing, error compensation, [16][17][18][19][20] etc. The development of five-axis NC machining technology [21][22][23] and its application in gear surface machining make it possible to NC machining this kind of split gear.…”
Section: Introductionmentioning
confidence: 99%