| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2023-10-11 |
| 書誌情報 |
en : International Journal of Automation Technology
巻 16,
号 5,
p. 562-571,
ページ数 10,
発行日 2022-09-05
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| タイトル |
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|
タイトル |
Statistics-Based Measuring Point Selection for Monitoring the Thermal Deformation of a Workpiece in End-Milling |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
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言語 |
en |
|
主題Scheme |
Other |
|
主題 |
thermal deformation |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
|
主題 |
temperature measuring system |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
multiple linear regression (MLR) |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
statistics-based selection method |
| キーワード |
|
|
言語 |
en |
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主題Scheme |
Other |
|
主題 |
end-milling |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
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|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Yang, Mengmeng
Zhang, Feng
寺本, 孝司
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
The deformation of the thermal workpiece in the end-milling process has a significant effect on the accuracy of machining. In-process direct measurement of workpiece deformation is difficult because process disturbances occur during machining. On the other hand, local temperatures of the workpiece can be easily and accurately measured using common measuring methods. This study aims to develop a monitoring method for workpiece deformations. A sensor-configured thermal simulation is proposed by combining local temperature measurements with thermal simulations to estimate the thermal states of the workpiece in small-lot production. Furthermore, an empirical modeling method is introduced to estimate the workpiece deformation from measured temperatures, thereby accelerating process time. A reliable estimation requires the selection of appropriate measuring points. Using multiple linear regression (MLR), a statistics-based selection method is proposed to establish a relationship between thermal deformation and temperatures of measuring points in various machining situations. During the end-milling process, the predicted time-series of deformations at the machining point and temperatures of the measuring points are regarded as output variables and input variables, respectively, in the finite element method (FEM)-based thermal simulation. The number of measuring points is determined by evaluating Akaike information criterion (AIC), and effective measuring points are selected using the p-value index. The proposed systematic construction method is evaluated using simulation-based case studies. The constructed temperature-based model for measuring workpiece deformation corresponded well to the FEM simulation. Therefore, the constructed model can represent workpiece deformation with the minimum number of measuring points. |
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言語 |
en |
| 出版者 |
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出版者 |
Fuji Technology Press Ltd. |
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言語 |
en |
| 出版者 |
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出版者 |
富士技術出版株式会社 |
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言語 |
ja |
| DOI |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
DOI |
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関連識別子 |
10.20965/ijat.2022.p0562 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
1881-7629 |
| 権利 |
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権利情報 |
© 2023 Fuji Technology Press Ltd. |
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言語 |
en |
| 権利 |
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|
権利情報 |
© 2023 富士技術出版株式会社 |
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言語 |
ja |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
Fujipress_IJAT-16-5-6.pdf (2.4 MB)
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