OPTIMAL FEED RATE CONTROL STRATEGIES FOR FRICTION DRILLING

Roman Stryczek, Paweł Błaszczak

DOI Number
10.22190/FUME200510021S
First page
Last page

Abstract


The presented paper contains the results of research aimed at developing optimal strategies for controlling the feed rate in the friction drilling process. In particular, the use of linear variable feed rate for individual drilling stages and adaptive feed rate control have been tested. The experiments were carried out with the use of a CNC machine tool equipped with an axial force and torque sensor. Correlation between thrust force and torque was shown, respectively, in relation to the feed drive load and the drive of machine tool spindle. Based on this, a feed rate sensorless control strategy was created to protect against excessive and long-term overload both of the tool and the drives. The following assessment criteria were considered: drilling cycle time, maximum values of thrust and torque, maximum values of feed drive load and drive of machine tool spindle, maximum power and energy effect in the form of work necessary to perform during the drilling process and forming the hole flange. The obtained test results, made for low-carbon steel with a tungsten carbide tool, indicate the advantage of the approach based on the linear variable feed rate and adaptive control over the traditional drilling process based on the step change of the feed rate, according to the recommendations given by the tool manufacturers.

Keywords

Friction Drilling, Feed Rate, Optimization, Adaptive Control

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References


Pereira, O., Urbikain, G., Rodriguez, A., Calleja, S., Ayesta, I., López de Lacalle, L.N., 2019, Process performance and life cycle assessment of friction drilling on dual-phase steel, J. Clean. Prod., 213, pp. 1147-1156.

Wittke, P., Liu Y., Biermann, D.,Walther, F., 2015, Influence of the production process on the deformation and fatigue performance of friction drilled internal threads in the aluminum alloy 6060, Mater. Test., 57(4), pp. 281-288.

Urbikain, G., Perez, J.M., López de Lacalle, L.N., Andueza, A., 2016, Combination of friction and form tapping process on dissimilar materials for making nutless joints, J. Eng. Manuf., 236(6), pp. 1007-1020.

Chow, H.M., Lee, S.M., Yang, L.D., 2008, Machining characteristic study of friction drilling on AISI 304 stainless steel, J. Mater. Process. Technol., 207, pp. 180-186.

Li, H., Wu, J., Chen, L., Zhang, C., Li, Z., 2018, An improved drilling force model in friction drilling AISI 321, J. Phys. Conf. Ser. 1074, doi :10.1088/1742-6596/1074/1/012147

El-Bahloul, S.A., El-Shourbagy, H.E., El-Midany, T.T., 2015, Optimization of thermal friction drilling process based on Taguchi method and fuzzy logic technique, Int. J. Sci. Eng. Appl., 4(2), pp. 55-59.

El-Bahloul, S.A., El-Shourbagy, H.E., El-Bahloul, A.M., El-Midany, T.T., 2018, Experimental and Thermo-Mechanical Modeling Optimization of Thermal Friction Drilling for AISI 304 Stainless steel, CIRP J.Manuf. Sci. Technol., 20, pp. 84–92.

Demir, Z., Özek, C., Bal M., 2018, An experimental investigation on bushing geometrical properties and density in thermal frictional drilling, Appl. Sci., 8(12), 2658, doi: 10.3390/app8122658

Su, K.Y., Welo, T., Wang, J., 2018, Improving friction drilling and joining through controlled material flow, Procedia Manuf., 26, pp. 663-670.

Bustillo, A., Urbikain, G., Perez, J.M., Pereira, O.M., López de Lacalle, L.N., 2018, Smart optimization of a friction-drilling process based on boosting ensembles, J. Manuf. Syst., 48, pp. 108-121.

Pantawane, P.D., Ahuja, B.B., 2011, Experimental investigations and multi-objective optimization of friction drilling process on AISI 1015, Int. J. App. Eng. Res., Dindigul, 2(2), pp. 448-461.

Rajesh, J. H. N., Kumar, R., 2017, Process optimization for maximizing bushing length in thermal drilling using integrated ANN-SA approach, J. Braz. Soc. Mech. Sci. Eng., 39(1), pp. 5097-5108.

Jiang, Z., Liu, X., Bu, J., 2010, Optimization of thermal friction drilling using grey relational analysis, Adv. Mater. Res., 154-155, pp. 1726-1738.

Ku, W.L., Hung, C.L., Lee, S.M., Chow, H.M., 2011, Optimization in thermal friction drilling for SUS 304 stainless steel, Int. J. Adv. Manuf. Technol., 9-12(53), pp. 935-944.

Kumar, R., Hynes, N.R.J., 2019, Prediction and optimization of surface roughness in thermal drilling using integrated ANFIS and GA approach, Int. J. Eng. Sci. Technol., 23(1), pp- 30-41.

Patil, S.S., Bembrekar, V., 2016, Optimization and thermal analysis of friction drilling on aluminium and mild steel by using tungsten carbide tool, Int. Res. J. Eng. Technol., 3(12), pp. 1468-1474.

Dehghan, S., Ismail, M.I.S., Ariffin, M.K.A., Baharudin, B.T.H.T., Sulaiman, S., 2017, Numerical simulation on friction drilling of aluminum alloy, Mater. Werkst., 48(3-4), pp. 241-248.

Dehghan, S., Ismail, M.I.S., Ariffin, M.K.A., Baharudin, B.T.H.T., 2019, Measurement and analysis of thrust force and torque in friction drilling of difficult-to-machine materials, Int. J. Adv. Manuf. Technol., 105, pp. 2749–2769.

Krasauskas, P., 2011, Experimental and statistical investigation of thermo-mechanical friction drilling process, Mechanika, 17(6), pp. 681-686.

Miller, S.F., Blau, P.J., Shih, A.J., 2007, Tool wear in friction drilling, Int. J. Mach. Tools and Manuf., 47(10), pp. 1636-1645.

Mutalib, M.Z.A., Ismail, M.I.S., Jalil, N.A.A., As’arry, A., 2018, Characterization of tool wear in friction drilling, J. Tribol., 17, pp. 93-103.

Ozler, L., Dogru, N., 2013, An experimental investigation of hole geometry in friction drilling, Mater. Manuf. Process., 28(4), pp. 470-475.

Hanumanhta, Rao K., Gopichand, A., Pavan Kumar, N., Jitendra K., 2017, Optimization on machining parameters in friction drilling process, Int. J. Mech. Eng. Technol., 8(4), pp. 242-254.

Ambhore, N., Kamble, D., Chinchanikar, S., Wayal, V., 2015, Tool condition monitoring system: A review, Mater. Today: Proc., 2(4-5), pp. 3419-3428.

Miller, S.F., 2006, Experimental analysis and numerical modeling of the friction drilling process, Thesis, Univ. of Michigan, 127 p.


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