| Item type |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2022-03-29 |
| 書誌情報 |
en : International Journal of Automation Technology
巻 15,
号 6,
p. 852-859,
発行日 2021
|
| タイトル |
|
|
タイトル |
Statistical Modelling of Machining Error for Model-Based Elastomer End-Milling |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
elastomer end-milling |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
machining error |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
statistical modelling |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
machining conditions |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Chainawakul, Adirake
寺本, 孝司
松本, 大樹
|
| 室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
寺本 孝司（TERAMOTO Koji） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000039_ja.html |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Elastomer end-milling has attracted attention for use in the small-lot production of elastomeric fragments because the technique is an applicable method for a large variety of materials and does not require the preparation of expensive and time-consuming moulds. In order to effectively utilize elastomer end-milling, it is necessary to ensure the machining accuracy of elastomeric parts machined through this technique. However, the control method of machining error in the elastomer end-milling has not been presented since most machining services of the elastomeric part are based on enterprise-dependent dexterities or know-how. The objective of this paper is to construct and utilize a machining error model for elastomer end-milling. A statistical model based upon physical states and machining conditions is introduced and investigated. In this paper, a framework for modelling the machining error in elastomer end-milling is also proposed. In the framework, the candidates of model variables are evaluated based on the preliminary experiments. Moreover, a statistical model is constructed by using the selected variables. Candidate variables are cutting conditions and predictable physical state variables such as workpiece deformation and cutting force. The framework is investigated by evaluating error prediction with the experimental results. An identified error model from limited machining cases can estimate the machining error of different machining cases. The results indicate that the proposed modelling method is capable of supporting to achieve model-based precision elastomer end-milling. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Fuji Technology Press Ltd |
|
言語 |
en |
| 出版者版へのリンク |
|
|
表示名 |
10.20965/ijat.2021.p0852 |
|
URL |
https://doi.org/10.20965/ijat.2021.p0852 |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.20965/ijat.2021.p0852 |
| 日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
532 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
1881-7629 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
https://creativecommons.org/licenses/by/4.0/ |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
IJAT_15_6_852 (1.6 MB)
