Influence Structures of The Machine Tools on Roughness in Turning

Year 2020, Volume: 1 Issue: 1, 1 - 8, 30.03.2020

Nabil Kribes Ouelaa Nouredıne Yallesse Med Athmane Mabrouki Tarek

Abstract

The final quality of machining is directly a function of the type of machine used. The geometrical and micro quality geometrical of finished surface are one of the principal goals of machining. During the operation of turning, in particular, the elastic behavior of the pin controls the surface quality machined. To say that the rigidity of the machine must be largest possible is not sufficient. The design of the axes of movement of the machine must take account of the effects static, kinematics, dynamic of the mass. The rigidity and the conditions of maintenance by the stages must be qualified in comparison with the results sought in term of machined surface quality. To characterize the effect of the vibrations of the machine tools on the quality of the machined surfaces a study was undertaken on two different lathes, a conventional turn and a turn with numerical control. The results of roughness show that the machine tool exploits a great role the machined surface quality. The rigidity of the machine and its capacities damping are prevalent factors to have a good surface quality. To this end the choice of a thing rigid and damping tool is essential for any trial run and any industrial machining in series.

Keywords

Turning, Roughness, Rigidity, Machine Tools, Damping

References

• [1] Olgac, N., & Hosek, M. (1998). A new perpective and analysis for regenerative machine tools chatter. International journal of machines tools and manufacture, 38(7), 783-798.
• [2] Liang, S.Y., Hecker, R.L. & Landers, R.G. (2004). Machining process monitoring and control: the state of art. Journal manufacturing science and engineering, 126(2), 297-310.
• [3] Mahdavinegad, R. (2005). Finite element analysis of machine and work piece instability in turning. International journal of machine tools and manufacture, 45(7-8), 753-760.
• [4] Kribes, N., Ouelaa, N., Yallese, M.A. & Belhadi, S. (2007). Impact of cutting parameters and vibrations on surface roughness based on the linear multiple regression. Matériaux & Techniques, 95,197-203.
• [5] Kunpeng, Z., Wong, Y. S., & Hong, G.S. (2009). Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results, International Journal of Machine Tools & Manufacture, 49, 537–553.
• [6] Tatar, K., & Gren, P. (2008). Measurement of milling tool vibration during cutting using laser vibrometry. International Journal of Machine Tools & Manufacture, 48, 380–387.
• [7] Rizal, M., Ghania, J.A., Nuawi, M.Z., & Haron, C.H.C. (2013). The application of I-kaztm-based method for tool wear, monitoring using cutting force signal, Procedia Engineering, 68, 461–468.
• [8] Alnso, F. J., & Salgado, D.R. (2008). Analysis of the structure of vibration signal for tool wear detection, Mechanical System and Signal Proceeding, 42, 735-748.
• [9] Afolalu, S.A., Salawu, E.Y., Okokpujie, I.P., Abioye, A.A., Abioye, O.P., Udo, M.O., Adetunji, O.R., & Ikumapayi, O.M. (2017). Experimental Analysis of the Wear Properties of Carburized HSS (ASTM A600) Cutting Tool. International Journal of Applied Engineering Research, 12 (19), 8995-9003.
• [10] Okokpujie, I.P., Ajayi, O.O., Afolalu, S.A., Abioye, A.A.A., Salawu, E.Y., Udo, M.O., Okonkwo, U.C., Orodu, K.B., & Ikumapayi, O.M. (2018). Modeling and Optimization of Surface Roughness in End Milling of Aluminium Using Least Square Approximation Method and Response Surface Methodology, International Journal of Mechanical Engineering and Technology (IJMET), 9(1), 587-600.
• [11] Okokpujie, I.P., Ikumapayi, O.M., Okonkwo, U.C., Salawu, E.Y., Afolalu, S.A., Dirisu, J.O., Nwoke, O.N. & Ajayi, O.O. (2017). Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools. Open Engineering, 7, 461-469.
• [12] Nwoke, O.N., Okokpujie, I.P., & Ekenyem, S.C. (2017). Investigation of Creep Responses of Selected Engineering Materials. Journal of Science, Engineering Development, Environment and Technology (JOSEDET), 7(1), 1-15.
• [13] Orisanmi, B.O., Afolalu, S.A., Adetunji, O.R., Salawu, E.Y., Okokpujie, I.P., Abioye, A.A., Akinyemi, A.A., & Abioye, O.P. (2017). Cost of Corrosion of Metallic Products in Federal University of Agriculture, Abeokuta. International Journal of Applied Engineering Research, 12(24), 14141-14147.
• [14] Onoroh, F., Ogbonnaya, M., & Echeta, C.B. (2018). Experimental Investigation of Cutting Parameters on a Turning Tool Flank Wear (Industrial and Production Engineering). Covenant Journal of Engineering Technology (CJET), 1(1), 55-72.
• [15] Okonkwo, U.C., Nwoke, O.N., & Okokpujie. I.P. (2018). Comparative Analysis of Chatter Vibration Frequency in CNC Turning of AISI 4340 Alloy Steel with Different Boundary Conditions. Journal of Covenant Engineering Technology (CJET), 1(1), 13- 30.
• [16] Ogedengbe, T.S., Abdulkareem, S., & Aweda, J.O. (2018). Effect of Coolant Temperature on Machining Characteristics of High Carbon Steel. Covenant Journal of Engineering Technology (CJET), 1(1) 73-86.
• [17] Wayal, V., Ambhore, N., Chinchanikar, S. & Bhokse, V. (2015). Investigation on Cutting Force and Vibration Signals in Turning: Mathematical Modeling Using Response Surface Methodology. Journal of Mechanical Engineering and Automation, 5(3B), 64-68.