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ホーニング音の研究: ニューラルネットワークによる監視システムの構築
http://hdl.handle.net/2297/39412
http://hdl.handle.net/2297/394120f4bf04e-041e-4e63-81e0-d3b30865a286
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-UEDA-T-814.pdf (456.2 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | ホーニング音の研究: ニューラルネットワークによる監視システムの構築 | |||||
| タイトル | ||||||
| タイトル | Investigation on Honing Sound: Application of Neural Network to Construction of Monitoring System | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 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 | |||||
| 著者 |
佐久間, 邦郎
× 佐久間, 邦郎× 岡島, 健一× 上田, 隆司 |
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| 書誌情報 |
精密工学会誌 = Journal of the Japan Society of Precision Engineering 巻 67, 号 5, p. 814-818, 発行日 2001-05-05 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0912-0289 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AN1003250X | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.2493/jjspe.67.814 | |||||
| 出版者 | ||||||
| 出版者 | 精密工学会 = The Japan Society for Precision Engineering | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The machining noise produced in honing operation is honing sound. This study attempts to investigate experimentally the relation between the honing sound and the finishing performances of stones and to construct the neural network system to discriminate the finishing conditions. The main results obtained are as follows. When the stone pressure Pn is larger than the critical pressure Pc, the stone is on the condition of self-dressing and keeps the superior cutting ability. Then the honing sound with high sound pressure level is produced. The sound pressure becomes higher under the severer honing conditions. The honing conditions are grouped into three classes based on the magnitude of stone pressure; the low pressure condition (Pn is lower than Pc), the normal pressure condition (Pn is larger than Pc) and the severe pressure condition (Pn is much higher than Pc). The neural network system is constructed to recognize the frequency spectrum of the honing sound produced under these three conditions. The effects of cell number of hidden layer and of learning rate on prediction results are investigated. It is experimentally proved that the proposed neural network system has a high discrimination rate and the honing sound is applicable as a signal to monitor the finishing conditions of stones. | |||||
| 権利 | ||||||
| 権利情報 | Copyright © 2007 The Japan Society for Precision Engineering 精密工学会 | |||||
| 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 | |||||
| 関連URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.jspe.or.jp/ | |||||
| 関連URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.jstage.jst.go.jp/browse/jjspe | |||||
| 関連URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://ci.nii.ac.jp/naid/110001368221 | |||||
