Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The production environment requires seamless integration, efficiency and robustness of process monitoring solutions. This research investigates data acquisition on the machine tool through the monitoring of NC kernel data. This approach provides many advantages, particularly in an industrial setting where it may be impractical to install additional sensors for process monitoring. The process investigated is abrasive machining of Cobalt Chrome alloy. Cobalt Chrome alloys are extensively used in the biomedical industry as both femoral and tibial components of prosthetic joints. Abrasive machining or grinding is widely employed as the main method for material removal for these components. Understanding the influence of key variables in such a process is necessary before optimization can be achieved. Significant information can be obtained by utilizing power consumption during machining as a process metric. Power consumption of a spindle during an abrasive machining process of Cobalt Chrome alloy is monitored under various conditions through a machine-NC-based application. The effects of changes in feed rate, wheel speed, depth of cut and tool condition are investigated here through Taguchi experimental design. Experimental results are presented with significant machining variables identified.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
59--69
Opis fizyczny
Bibliogr. 16 poz., tab., rys.
Twórcy
autor
- Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Ireland
autor
- DePuy Ireland, Johnson & Johson, Loughberg, Ringaskiddy, Co Cork, Ireland
autor
- Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Ireland
Bibliografia
- [1] TETI R., JEMIELNIAK K., O'DONNELL G., and DORNFELD D., 2010, Advanced monitoring of machining operations, CIRP Annals - Manufacturing Technology, 59/717-739.
- [2] PRITSCHOW G., ALTINTAS Y., JOVANE F., KOREN Y., MITSUISHI M., TAKATA S., Van BRUSSEL H., WECK M., and YAMAZAKI K., 2001, Open Controller Architecture - Past, Present and Future, CIRP Annals - Manufacturing Technology, 50/463-470.
- [3] BRECHER C., QUINTANA G., RUDOLF T., and CIURANA J., 2010, Use of NC kernel data for surface roughness monitoring in milling operations, The International Journal of Advanced Manufacturing Technology, 1-10.
- [4] QUINTANA G., RUDOLF T., CIURANA J., and BRECHER C., 2011, Using kernel data in machine tools for the indirect evaluation of surface roughness in vertical milling operations, Robotics and Computer-Integrated Manufacturing, 27/1011-1018.
- [5] QUINTANA G., RUDOLF T., CIURANA J., and BRECHER C., 2011, Surface roughness prediction through internal kernel information and external accelerometers using artificial neural networks," Journal of Mechanical Science and Technology, 25/2877-2886.
- [6] NIINOMI M., 2010, Metals for biomedical devices, ed: Woodhead Publishing, Oxford.
- [7] DENKENA B., de LEON L., TURGER A., and BEHRENS L., 2010, Prediction of contact conditions and theoretical roughness in manufacturing of complex implants by toric grinding tools, International Journal of Machine Tools and Manufacture, 50/630-636.
- [8] GUO C., SHI Z., ATTIA H., and MCINTOSH D., 2007, Power and Wheel Wear for Grinding Nickel Alloy with Plated CBN Wheels, CIRP Annals - Manufacturing Technology, 56/343-346.
- [9] ROSS P. J., 1996, Taguchi Techniques for Quality Engineering: McGraw-Hill, New York
- [10] SHI Z. and MALKIN S., 2006, Wear of electroplated CBN grinding wheels, Journal of manufacturing science and engineering, 128/110.
- [11] MALKIN S. and GUO C., 2008, Grinding technology: theory and applications of machining with abrasives, second ed. New York: Industrial Pr.
- [12] STEPHENSON D. J., JIN T., and CORBETT J., 2002, High Efficiency Deep Grinding of a Low Alloy Steel with Plated CBN Wheels, CIRP Annals - Manufacturing Technology, 51/241-244.
- [13] ROWE W. B., PETTIT J. A., BOYLE A., and MORUZZI J. L., 1988. Avoidance of Thermal Damage in Grinding and Prediction of the Damage Threshold, CIRP Annals - Manufacturing Technology, 37/327-330.
- [14] BELL A., JIN T., and STEPHENSON D. J., 2011, Burn threshold prediction for High Efficiency Deep Grinding, International Journal of Machine Tools and Manufacture, 51/433-438.
- [15] MALKIN S. and GUO C., 2007, Thermal Analysis of Grinding, CIRP Annals - Manufacturing Technology, 56/760-782.
- [16] HOOD R., LECHNER F., ASPINWALL D., and VOICE W., 2007, Creep feed grinding of gamma titanium aluminide and burn resistant titanium alloys using SiC abrasive, International Journal of Machine Tools and Manufacture, 47/1486-1492.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8f422c82-70a1-4ea3-9b4d-7d52bfaf88df