Volume 20, Issue 5 (May 2020)                   Modares Mechanical Engineering 2020, 20(5): 1283-1293 | Back to browse issues page

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Hoseinpour H, Saraeian P, Shakouri E. Experimental and Numerical Study of the Quality and Health of Wood Plastic Surface during Turning with Self-Rotary Tool. Modares Mechanical Engineering 2020; 20 (5) :1283-1293
URL: http://mme.modares.ac.ir/article-15-37061-en.html
1- Mechanical Engineering Department, Mechanic Faculty, North Tehran Branch, Islamic Azad University, Tehran, Iran
2- Mechanical Engineering Department, Mechanic Faculty, Najafabad Branch, Islamic Azad University, Esfahan, Iran , p_saraeian@iau-tnb.ac.ir
Abstract:   (2375 Views)
Due to the specific characteristics of composite wood plastic and increasing of this product due to its compatibility with the environment, the quality of the appropriate surface area during the various machining processes on this material has been considered more than before. In this study, after turning operation with self-rotary tool on samples by changing the parameters of spindle speed, the feed rate and cutting depth, to measure and compare the surface roughness of the turning surfaces, the surface quality assessment has been investigated by microscope as well as numerical analysis of the process. The results show that during turning with self-rotary tool, for the cutting depth of 1mm and the feed rate of 22.0mm/rev by increasing the spindle speed from 500 to 710rpm, the surface quality of about 17% improved that this amount compared with conventional turning is also Improved about 37%. Also, due to increasing machining forces, by increasing the feed rate from 22.0 to 44.0mm/rev, surface quality is reduced by about 21%. Comparing the obtained values for surface roughness showed that after the feed rate, the spindle speed had the highest impact on the quality and health of the turning surfaces. Also, comparing the roughness of the measured surfaces during the finite element method and the experimental method showed the proper accuracy and adaptability of these two methods.
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Article Type: Original Research | Subject: Composites
Received: 2019/10/5 | Accepted: 2019/11/30 | Published: 2020/05/9

1. Sangwan K, Saxena S, Girish K. Optimization of Machining Parameters to Minimize Surface Roughness using Integrated ANN-GA Approach. Procedia CIRP. 2015;29(8):305-310. [Link] [DOI:10.1016/j.procir.2015.02.002]
2. Pritchard G. Wood filled plastics: The time has come. Plastic Engineering Europe. 2005;3:20-25. [Link]
3. Hosokawa A, Ueda T, Orishi R, Tanaka R, Furumoto T. Turning of difficult to machine materials with actively driven rotary tool. CIRP Annals. 2010;59(1):89-92. [Link] [DOI:10.1016/j.cirp.2010.03.053]
4. Kishawy H, Wilcox J. Tool wear and chips formation during hard turning with self-propelled rotary tools. International journal of Machine Tools and Manufacture. 2003;43(4):433-439. [Link] [DOI:10.1016/S0890-6955(02)00239-0]
5. Li L, Kishawy H. A model for cutting forces generated during machining with self-propelled rotary tools. International Journal of Machine Tools and Manufacture. 2006;46(12-13):1388-1394. [Link] [DOI:10.1016/j.ijmachtools.2005.10.003]
6. Hao W, Zhu X. Prediction of cutting force for self-propelled rotary tool using artificial neural networks. Journal of Materials Processing Technology. 2006;180(1-3):23-29. [Link] [DOI:10.1016/j.jmatprotec.2006.04.123]
7. Ezugwu E. Improvements in the machining of aero-engine alloys using self-propelled rotary tooling technique. Journal of Materials Processing Technology. 2007;185(1-3):60-71. [Link] [DOI:10.1016/j.jmatprotec.2006.03.112]
8. Wang Z, Ezugwu E. Evaluation of a Self-Propelled Rotary Tool in the Machining of Aerospace Materials. International Journal of Machine Tools and Manufacture. 2008;25:1025-1031. [Link]
9. Davim J. Surface integrity in machining. Berlin: Springer; 2019. pp. 1-365. [Link]
10. Kishawy H, Pang L, Balazinski M. Modeling of tool wear during hard turning with self-propelled rotary tools. International Journal of Mechanical Sciences. 2011;53(11):1015-1021. [Link] [DOI:10.1016/j.ijmecsci.2011.08.009]
11. Kossakowska J, Jemielniak K. Application of Self Propelled Rotary Tools for turning of difficult-tomachine Materials. Journal of Materials Processing Technology. 2012;1:425-430. [Link] [DOI:10.1016/j.procir.2012.04.076]
12. Laghari R, Li J, Xie Z, Wang S. Modeling and optimization of tool wear and surface roughness in turning of using response surface methodology. 3DR Express. 2018;46(9):1-13. [Link] [DOI:10.1007/s13319-018-0199-2]
13. itechpolymer.com [Internet]. Tehran: iTech Polymer; 2019 [Unknown Cited]. Available from: www.itechpolymer.com [Link]
14. Zajak J, Botko F, Radchenco S. Evaluation of roughness parameters of machined surface of selected wood plastic composite. In: Smart technology terends in industrial and business management. Cagáňová D, Balog M, Knapčíková L, Soviar J , Mezarcıöz S, editors. Berlin: Springer; 2019. pp. 345-352. [Link]
15. Akhyar G, Purnomo B, Hamni A, Harun S, Burhanuddin Y. The machined surface of magnesium AZ31 after rotary turning at air cooling condition. IOP Conference Series: Materials Science and Engineering. Bristol: IOP Publishing Ltd; 2018. [Link] [DOI:10.1088/1757-899X/344/1/012004]
16. Suresh R, Basavarajappa S, Gaitonde VN, Samuel GL. Machinability investigations on hardened AISI 4340 steel using coated carbide insert. International Journal of Refractory Metals and Hard Materials. 2012;33:75-86. [Link] [DOI:10.1016/j.ijrmhm.2012.02.019]
17. Boothroyd G, Knight A. Fundamentals of machining and machine tools. 3rd Edition. Boca Raton, Florida; CRC Press. 2005. [Link]
18. Hutyrová Z, Harnicarova M, Zajac J, Valícek J. experimental study of surface roughness of wood plastic composites after turning. Advanced Materials Research. 2014;856:108-112. [Link] [DOI:10.4028/www.scientific.net/AMR.856.108]
19. Harnicarova M, Mitalova Z, Kusnerova M, Valícek J. Analysis of physical-mechanical and surface properties of wood plastic composite Materials to determine the energy balance. Defect and Diffusion Forum. 2017;370:78-89. [Link] [DOI:10.4028/www.scientific.net/DDF.370.78]
20. Zhu Z, Buck D, Guo X. Machinability investigation in turning of high density fiberboard. PlosOne. 2018;43:1-13. [Link] [DOI:10.1371/journal.pone.0203838]
21. Kini M, Chincholkar A. Effect Of Machining Parameters On Surface Roughness And Material Removal Rate In Finish Turning Of Glass Fibre Reinforced Polymer Pipes. Materals and Design. 2010;31(7):3590-3598. [Link] [DOI:10.1016/j.matdes.2010.01.013]
22. Rao T, Krishna A, Kumar Katta R, Krishna KR. Modeling and multi-response optimization of machining performance while turning hardened steel with self-propelled rotary tool. Advance Manufacturing. 2015;3(1):84-95. [Link] [DOI:10.1007/s40436-014-0092-z]

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