Modeling and simulation of milling forces in milling plain woven carbon fiber-reinforced plastics
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Woven CFRP composites are increasingly applied in different industrial sectors. Excessive milling forces can involve some undesirable consequences such as rapid tool wear, surface burning, burrs, delamination, etc., during the milling of CFRP. Reasonably predicting force is of great significance to improve the machining quality and the tool life. A methodology is developed for predicting the milling forces by transforming specific cutting energies derived from the theoretical model of orthogonal cutting. In this methodology, the structural features of the plain-woven structure are carefully observed and analyzed. It is shown that all the average force coefficients regularly change with the rotation angle. The theoretical results applying these average force coefficients agree well with the measuring data. Furthermore, the maximal average of the cutting forces can be successfully predicted. All the average absolute values of relative errors between predictive and measured values of the cutting forces max-means are less than 10%. It is shown that the method applying the average force coefficients is capable of predicting the cutting forces in milling of plain-woven CFRP and over the entire range of rotation angles from 0 to 180°. The results can provide a reference for the prediction and the control of cutting forces in actual milling of plain-woven carbon fiber-reinforced plastics.
KeywordsPlain-woven carbon fiber-reinforced plastic (PW CFRP) Milling forces Theoretical model Specific cutting energies
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Special thanks to the National Science Foundation of China (No. 51675285) for funding this work.
- 3.Gaugel S, Sripathy P, Haeger A, Meinhard D, Bernthaler T, Lissek F, Kaufeld M, Knoblauch V, Schneider G (2016) A comparative study on tool wear and laminate damage in drilling of carbon-fiber reinforced polymers (CFRP) [J]. Compos Struct 155:173–183. https://doi.org/10.1016/j.compstruct.2016.08.004 CrossRefGoogle Scholar
- 13.Rubeo MA, Schmitz TL (2016) Mechanistic force model coefficients: a comparison of linear regression and nonlinear optimization [J]. Precis Eng 45:311–321. https://doi.org/10.1016/j.precisioneng.2016.03.008 CrossRefGoogle Scholar
- 14.Li Zhongqun(2008) Dynamic modeling, simulation and optimization of high speed milling under complicated cutting conditions. [D] Beijing: Beihang UniversityGoogle Scholar
- 15.Sheikh-Ahmad J, Twomey J, Kalla D et al (2007) Multiple regression and committee neural network force prediction models in milling FRP [J]. Mach Sci Technol 11(3):391–412Google Scholar
- 17.Shengchao H, Yan C, Xu J et al (2014) Modeling and simulation of milling forces in side milling multi-layer CFRP with multitooth cutter [J]. Acta Materiae Compositae Sinica 31(5):1375–1381Google Scholar
- 24.Chen L, Zhang K, Cheng H, et al (2017) A cutting force predicting model in orthogonal machining of unidirectional CFRP for entire range of fiber orientation [J]. Int J Adv Manuf Technol 89:833–846Google Scholar
- 29.Sánchez NF, Díaz-Álvarez A, Cantero JL et al (2015) Experimental analysis of special tool geometries when drilling woven and multidirectional CFRPs [J]. J Reinf Plast Compos 19(19):1215–1220Google Scholar
- 31.Wang H, Qin XA (2016) Mechanistic model for cutting force in helical milling of carbon fiber-reinforced polymers [J]. Int J Adv Manuf Technol 82(9–12):1485–1494Google Scholar
- 34.Li GY (2011) Research on defects generation mechanism and process optimization in drilling laminated composite [D]. Jinan: Shandong UniversityGoogle Scholar