A computational fluid dynamics (CFD) model for effective coolant application in deep hole gundrilling. (February 2017)
- Record Type:
- Journal Article
- Title:
- A computational fluid dynamics (CFD) model for effective coolant application in deep hole gundrilling. (February 2017)
- Main Title:
- A computational fluid dynamics (CFD) model for effective coolant application in deep hole gundrilling
- Authors:
- Woon, K.S.
Tnay, G.L.
Rahman, M.
Wan, S.
Yeo, S.H. - Abstract:
- Abstract: Effective coolant application in deep hole gundrilling is crucial to prevent rapid degradation and failure of drills through high performance cooling, lubrication and chip evacuation. This paper presents a novel methodology to increase effectiveness of coolant application through strategic optimization of gun drill designs that leads to appreciable tool life improvement, based on computational fluid dynamics (CFD) analysis. Through the analyses of coolant flow characteristics and rheological properties, conventional designs of critical drill geometries like nose grind contour, coolant hole configuration and shoulder dub-off angle, which are detrimental to coolant application and hence tool life are determined. A new, optimized gun drill design for the drilling of deep holes on Ni-based alloys is proposed. All findings are experimentally substantiated.
- Is Part Of:
- International journal of machine tools & manufacture. Volume 113(2017)
- Journal:
- International journal of machine tools & manufacture
- Issue:
- Volume 113(2017)
- Issue Display:
- Volume 113, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 113
- Issue:
- 2017
- Issue Sort Value:
- 2017-0113-2017-0000
- Page Start:
- 10
- Page End:
- 18
- Publication Date:
- 2017-02
- Subjects:
- Deep hole gundrilling -- Coolant flow -- Chip evacuation -- High pressure coolant -- Tool design
Machine-tools -- Periodicals
Manufacturing processes -- Periodicals
Machines-outils -- Périodiques
Fabrication -- Périodiques
Electronic journals
621.902 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/08906955 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijmachtools.2016.11.008 ↗
- Languages:
- English
- ISSNs:
- 0890-6955
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.323000
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British Library HMNTS - ELD Digital store - Ingest File:
- 5655.xml