Application of PIV method to study the speed distribution of oil mist particles in the orthogonal cutting process

• Autorzy: Wójcik R. , Stachurski W.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the use of the PIV method in experimental studies on the speed distribution of oil particles contained in oil mist delivered into a cutting zone with minimum quantity (MQL). During investigations an orthogonal sample was of an aluminum alloy PA7N was machined using HS18-0-1 high-speed steel cutter. The oil mist was delivered into the cutting zone by a single spray nozzle directed at the tool rake surface. Two angular settings of the spray nozzle were applied in relation to the surface of the machined sample. Based on the images obtained by the PIV method, the distribution of the oil particles in the cutting area was determined according to the setting the spray nozzle. Studies have indicated more favorable conditions for the delivery of oil mist at the angle of spray nozzle at 85°. These conclusions were confirmed by measuring the cutting force in tangential direction to the machined surface.

Słowa kluczowe

EN

orthogonal cutting; MQL; particle image velocimetry; PIV; cutting force

PL

skrawanie ortogonalne; MQL; smarowanie minimalne; cyfrowa anemometria obrazowa; PIV; siła skrawania

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Journal of Mechanical and Energy Engineering
• Rocznik: 2017
• Tom: Vol. 1, No 1
• Strony: 51--55
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Wójcik R.

• Faculty of Mechanical Engineering, Institute of Machine Tools and Production Engineering, Lodz University of Technology, Stefanowskiego 1/15, 90-924 Lodz, Poland

autor

Stachurski W.

• Faculty of Mechanical Engineering, Institute of Machine Tools and Production Engineering, Lodz University of Technology

Bibliografia

• 1. Iskandar Y., Tendolkar A., Attia M.H., Hendrick P., Damir A., Diakodimitris C. (2014). Flow visualization and characterization for optimized MQL machining of composites. CIRP Annals - Manufacturing Technology, vol. 63, iss. 1, pp. 77-80.
• 2. Rahim E.A., Dorairaju H., Asmuin N., Mantari M.H.A.R. (2015). Determination of mist flow characteristic for MQL technique using Particle Image Velocimetry (PIV) and Computer Fluid Dynamics (CFD). Applied Mechanics and Materials, vol. 773-774, pp. 403-407.
• 3. Diakodimitris C., Iskandar Y.R., Hendrick P., Slangen P. (2013). New approach of gas-liquid computational fluid dynamics simulations for the study of minimum quantity cooling with airblast plain-jet injectors. Journal of Manufacturing Science and Engineering, vol. 135, iss. 4, DOI: 10.1115/1.4024632.
• 4. Wójcik R. (2008). Application of new kinds of cooling media and supplying methods during surface grinding. Archives of Mechanical Technology and Materials, vol. 28, no 4, pp. 137-145 (in Polish).
• 5. FLOWMAP (2000). Particle Image Velocimetry instrumentation, installation and user guide, Dantec Measurement Technology.
• 6. Adrian R.J., Westerweel J. (2011). Particle Image Velocimetry. Cambridge University Press, New York.
• 7. Sawicki J., Wójcik R., Górecki G. (2010). Utilization of PIV method and computer simulation in determinatin of surface layer state in surface grinding process. Materials Engineering, no 4, pp. 1203-1205 (in Polish).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).