Hubungan Antara Produktifitas Pemesinan dan Kualitas Permukaan Bahan UHMWPE Hasil Bubut Silindris dengan Mesin CNC

Budi Basuki(1*), Ignatius Aris Hendaryanto(2), Benidiktus Tulung Prayoga(3), Handoko Handoko(4),

(1) Deparrtemen Teknik Mesin, Sekolah Vokasi, Universitas Gadjah Mada
(2) Deparrtemen Teknik Mesin, Sekolah Vokasi, Universitas Gadjah Mada
(3) Deparrtemen Teknik Mesin, Sekolah Vokasi, Universitas Gadjah Mada
(4) Deparrtemen Teknik Mesin, Sekolah Vokasi, Universitas Gadjah Mada
(*) Corresponding Author

Abstract


UHMWPE (Ultra High Molecular Weight Polyethylene) is a unique polyethylene material widely used in biomedical applications as a bearing material for human body joint implants. The production of these UHMWPE implant components is still commonly performed with machine tools. Operation of these machines requires specific setting machining parameters in order to produce good UHMWPE surface quality without sacrificing the production cost. This research aims to find the relationship between cylindrical lathe machining productivity parameter, MRR (Material Removal Rate), and surface quality of the produced UHMWPE implant. MRR is directly related to production costs. The research was conducted by turning the UHMWPE at five feed rate variations between 0.025 to 0.2 mm/rev. and two depth of cut variations, 0.05 mm, and 0.1 mm, with a cutting speed of 150 m / minute. The test used a Denford FANUC CNC lathe machine with a cemented carbide cutting tool. Product quality was determined by measuring the topography or surface roughness of the material. Results show that the surface quality is inversely related to MRR. This problem can be solved by adjusting the depth of the cut. High productivity can be obtained by cutting thicker material. The difference in the surface quality of the cylindrical lathe machined material in the two depth of cut variations is not significant.


Keywords


UHMWPE; biomedical implant; cylindrical lathe; surface quality

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References


Abukhshim, N.A., Mativenga, P.T. & Sheikh, M.A., (2004). An investigation of the tool chip contact length and wear in high-speed turning of EN19 steel. Proc. Inst. Mech. Engineers Vol. 218 Part B: J. Engineering Manufacture.

Deloitte. (2018). 3D printing growth accelerates again: TMT Predictions 2019. Retrieved from https://www2.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/3d-printing-market.html

Forbes. (2018). Wohlers Report 2018: 3D Printer Industry Tops $7 Billion. Retrieved from https://www.forbes.com/sites/tjmccue/2018/06/04/wohlers-report-2018-3d-printer-industry-rises-21-percent-to-over-7-billion/#543c66e42d1a

Kinnari, T.J. (2010). Effect of surface roughness and sterilization on bacterial adherence to ultra-high molecular weight polyethylene. Clinical Microbiology and Infection 16 (7), 1036-1041.

Lazarević, D., Madić, M., Janković, P. & Lazarević, A. (2012). Cutting Parameters Optimization for Surface Roughness in Turning Operation of Polyethylene (PE) Using Taguchi Method. Tribology in Industry 34 (2), 68-73

Open Learn. (2018). Retrieved from https://www.open.edu/openlearn/science-maths-technology/ engineering-technology/mani-pedi/single-point-cutting

Salles, J. A. C. & Gonçalves, M. T. T. (2003). Effects of Machining Parameters on Surface Quality of the Ultra High Molecular Weight Polyethylene (UHMWPE). Matéria 8(1), 1-10

Select USA. (2016). Machinery and Equipment Spotlight: The Machinery and Equipment Industry in the United States. Retrieved from https://www.selectusa.gov/machinery-and-equipment-industry-united-states

Select USA. (2019). Foreign Direct Investment: Manufacturing, United States Department of Commerce: Internal Trade Administration

Tran, H.D. (2016). Measuring and Characterizing Surface Topography, AVS short course, May 26, 2016, Sandia National Laboratories

Wagner, J. (2019). 3D printing industry - worldwide market size 2020-2024. Retrieved from https://www.statista.com/statistics/315386/global-market-for-3d-printers/

Wikimedia Commons. (2008). Retrieved from https://commons.wikimedia.org/wiki/File: Hip_prosthesis.jpg

Ye, X., Guan, J., Wang, J., Wang, L. & Cao, Y. (2015). Model for surface topography prediction in cylinder turning. Procedia CIRP 27, 286–291.




DOI: https://doi.org/10.30588/jeemm.v7i1.1461

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