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  1. 学術雑誌掲載済論文
  2. 洋雑誌

Drilling High Precision Holes in Ti6Al4V Using Rotary Ultrasonic Machining and Uncertainties Underlying Cutting Force, Tool Wear, and Production Inaccuracies

https://kitami-it.repo.nii.ac.jp/records/8697
cc89132a-dfa8-4419-8de0-3468cc00a52d
名前 / ファイル ライセンス アクション
Materials Materials 2017, 10(9), 1069 (1.9 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2019-05-31
タイトル
言語 en
タイトル Drilling High Precision Holes in Ti6Al4V Using Rotary Ultrasonic Machining and Uncertainties Underlying Cutting Force, Tool Wear, and Production Inaccuracies
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 rotary ultrasonicmachining
キーワード
言語 en
主題Scheme Other
主題 drilling
キーワード
言語 en
主題Scheme Other
主題 Ti6Al4V
キーワード
言語 en
主題Scheme Other
主題 possibility distribution
キーワード
言語 en
主題Scheme Other
主題 uncertainty quantification
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
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 M. A. Karim, Chowdhury

× M. A. Karim, Chowdhury

WEKO 90126

en M. A. Karim, Chowdhury

Search repository
A.M.M. Sharif , Ullah

× A.M.M. Sharif , Ullah

WEKO 90128
CiNii ID 9000002718888

en A.M.M. Sharif , Ullah

Search repository
Anwar, Saqib

× Anwar, Saqib

WEKO 90468

en Anwar, Saqib

Search repository
著者別名
姓名
姓名 ウラ, シャリフ
言語 ja
抄録
内容記述タイプ Abstract
内容記述 Ti6Al4V alloys are difficult-to-cut materials that have extensive applications in the automotive and aerospace industry. A great deal of effort has been made to develop and improve the machining operations of Ti6Al4V alloys. This paper presents an experimental study that systematically analyzes the effects of the machining conditions (ultrasonic power, feed rate, spindle speed, and tool diameter) on the performance parameters (cutting force, tool wear, overcut error, and cylindricity error), while drilling high precision holes on the workpiece made of Ti6Al4V
alloys using rotary ultrasonic machining (RUM). Numerical results were obtained by conducting experiments following the design of an experiment procedure. The effects of the machining conditions on each performance parameter have been determined by constructing a set of possibility distributions (i.e., trapezoidal fuzzy numbers) from the experimental data. A possibility distribution is a probability-distribution-neural representation of uncertainty, and is effective in quantifying the uncertainty underlying physical quantities when there is a limited number of data points which is the case here. Lastly, the optimal machining conditions have been identified using these possibility distributions.
言語 en
書誌情報 en : Materials

巻 10, 号 9, p. 1069, 発行日 2017-09-12
ISSN
収録物識別子タイプ EISSN
収録物識別子 1996-1944
DOI
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/ma10091069
出版者
出版者 MDPI
著者版フラグ
値 publisher
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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