Forecasting Initial Exit Point and Attributes of Burr Formation in Drilling of Free-Form Surfaces

Öz

The initial exit point (IEP) denotes the first location where the tool emerges from the underside of the workpiece during drilling and has a substantial influence on burr formation. This effect becomes particularly pronounced when the underside of the workpiece is not flat. In such cases, unfavorable IEP positioning may lead to increased burr height, unstable material separation, and non-uniform exit deformation, thereby deteriorating surface quality and increasing the need for secondary deburring operations. The IEP, together with the tool initial position (TIP), is governed by the tool’s starting placement, workpiece thickness, feed rate, and spindle speed, all of which are highly adjustable parameters. In this study, burr formation during the drilling of a B-spline free-form surface was investigated by mathematically modeling the tool cutting edge tip with respect to the IEP. The proposed model was developed in the MATLAB environment and experimentally validated on a workpiece containing a B-spline surface. The results demonstrate that accurate prediction and control of the IEP enable effective regulation of burr formation on free-form surfaces. By optimizing drilling parameters, burr height was significantly reduced, achieving an average decrease of 27.8% when the exit occurred near the tool tip region compared to exits between the tip and diameter edge. These findings highlight both the critical role of the IEP in burr generation and the necessity of its careful control in drilling operations on non-flat surfaces.

Anahtar Kelimeler

• Freeform surface
• Drilling
• Tool exit point
• Tool path
• Burr

Kaynakça

1. Abdelhafeez, A. M., Soo, S. L., Aspinwall, D. K., Dowson, A., & Arnold, D. (2015). Burr formation and hole quality when drilling titanium and aluminum alloys. Procedia CIRP, 37, 230–235. https://doi.org/10.1016/j.procir.2015.08.019
2. Ahn, Y., & Lee, S. H. (2017). Classification and prediction of burr formation in micro drilling of ductile metals. International Journal of Production Research, 55(17), 4833–4846. https://doi.org/10.1080/00207543.2016.1254355
3. ASM International. (t.y.). Aluminum 7075-T6 material data sheet. MatWeb. Retrieved January 01, 2026, from https://asm.matweb.com/search/specificmaterial.asp?bassnum=ma7075t6
4. Bahce, E., & Ozel, C. (2018). Influence of a stepped feed rate on burr formation when drilling Al-5005. Materialwissenschaft und Werkstofftechnik/Materials Testing, 60(3), 316–324. https://doi.org/10.3139/120.111154
5. Bahçe, E., & Özdemir, B. (2019). Investigation of the burr formation during the drilling of free-form surfaces in Al 7075 alloy. Journal of Materials Research and Technology, 8(5), 4198–4208. https://doi.org/10.1016/j.jmrt.2019.07.028
6. Bahçe, E., & Özdemir, B. (2021). Burr measurement method based on burr surface area. International Journal of Precision Engineering and Manufacturing-Green Technology, 8(4), 1287–1296. https://doi.org/10.1007/s40684-020-00228-0
7. Bhattacharyya, A. (2018). Burr formation minimization in drilling process using experimental study with statistical analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 4(6), 470-481.
8. Chang, S. S., & Bone, G. M. (2005). Burr size reduction in drilling by ultrasonic assistance. Robotics and Computer-Integrated Manufacturing, 21(4-5), 442–450. https://doi.org/10.1016/j.rcim.2004.07.005

9. Çiçek, A., Kıvak, T., & Samtaş, G. (2012). Application of Taguchi method for surface roughness and roundness error in drilling of AISI 316 stainless steel. Strojniški Vestnik-Journal of Mechanical Engineering, 58(3), 165–174. https://doi.org/10.5545/sv-jme.2011.167
10. Efkolidis, N., Hernandez, C. G., Talon, J. L. H., & Kyratsis, P. (2018). Modelling and prediction of thrust force and torque in drilling operations of Al7075 using ANN and RSM methodologies. Strojniški Vestnik-Journal of Mechanical Engineering, 64(6), 374–382. https://doi.org/10.5545/sv-jme.2017.5188
11. Efstathiou, C., Vakondios, D., Lyronis, A., Sofiakis, K., & Antoniadis, A. (2017). Finite element modeling and experimental study of burr formation in drilling processes. ASME 2016 International Mechanical Engineering Congress and Exposition. https://doi.org/10.1115/IMECE2016-66026
12. Giasin, K., & Ayvar-Soberanis, S. (2017). An investigation of burrs, chip formation, hole size, circularity and delamination during drilling operation of GLARE using ANOVA. Composite Structures, 159, 745–760. https://doi.org/10.1016/j.compstruct.2016.10.015
13. Guo, H., Liang, Z., Wang, X., Zhou, T., Jiao, L., & Teng, L. (2018). Influence of chisel edge thinning on helical point micro-drilling performance. The International Journal of Advanced Manufacturing Technology, 99(9–12), 2321–2332. https://doi.org/10.1007/s00170-018-2612-7
14. Jiao, A., Zhang, G., Liu, B., & Wang, L.-A. (2020). Study on improving hole quality of 7075 aluminum alloy based on magnetic abrasive finishing. Advances in Mechanical Engineering, 12(6), 1–14. https://doi.org/10.1177/1687814020932006
15. Kilickap, E. (2010). Modeling and optimization of burr height in drilling of Al-7075 using Taguchi method and response surface methodology. The International Journal of Advanced Manufacturing Technology, 49, 911–923. https://doi.org/10.1007/s00170-009-2469-x
16. Ko, S. L., & Lee, J. K. (2001). Analysis of burr formation in drilling with a new-concept drill. Journal of Materials Processing Technology, 113(1-3), 392–398. https://doi.org/10.1016/S0924-0136(01)00684-2
17. Ko, S. L., Chang, J. E., & Yang, G. E. (2003). Burr minimizing scheme in drilling. Journal of Materials Processing Technology, 140(1-3), 237–242. https://doi.org/10.1016/S0924-0136(03)00713-3
18. Li, H., He, G., Qin, X., Wang, G., Lu, C., & Gui, L. (2014). Tool wear and hole quality investigation in dry helical milling of Ti-6Al-4V alloy. The International Journal of Advanced Manufacturing Technology, 71(5-8), 1511–1523. https://doi.org/10.1007/s00170-013-5570-0
19. Liang, Z., Guo, H., Wang, X., Ma, Y., Zhou, T., Sun, X., et al. (2020). Influence of chisel edge axial rake angle on the drilling performance of helical point micro-drill. The International Journal of Advanced Manufacturing Technology, 107(5), 2137–2149. https://doi.org/10.1007/s00170-020-05180-6
20. Mathew, N. T., & Laxmanan, V. (2018). Temperature rise in workpiece and cutting tool during drilling of titanium aluminide under sustainable environment. Materials and Manufacturing Processes, 33(16), 1765–1774. https://doi.org/10.1080/10426914.2018.1512123
21. Min, S., Dornfeld, D. A., & Nakao, Y. (2003). Influence of exit surface angle on drilling burr formation. Journal of Manufacturing Science and Engineering, 125(4), 637–644. https://doi.org/10.1115/1.1596573
22. Min, S., Dornfeld, D. A., Kim, J., & Shyu, B. (2001). Finite element modeling of burr formation in metal cutting. Journal of Manufacturing Science and Engineering, 123(4), 599–607. https://doi.org/10.1115/1.1394747
23. Mondal, N., Banik, S., Paul, S., Sarkar, S., Mandal, S., & Ghosh, S. (2024). ANFIS-TLBO-based optimization of drilling parameters to minimize burr formation in aluminum 6061. Multiscale and Multidisciplinary Modeling, Experiments and Design, 1–17. https://doi.org/10.1007/s41939-024-00433-3
24. Mondal, N., Sardar, B. S., Halder, R. N., & Das, S. (2014). Observation of drilling burr and finding out the condition for minimum burr formation. International Journal of Manufacturing Engineering, 2014, Makale 208293. https://doi.org/10.1155/2014/208293
25. Nakao, Y., & Watanabe, Y. (2006). Measurements and evaluations of drilling burr profile. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(4), 513–523. https://doi.org/10.1243/095440506X76435
26. Ozdemir, B., Kilickap, E., Bahce, E., Yardimeden, A., & Emir, E. (2024). Optimization of parameters for drilling composite materials with freeform surfaces. Materials and Manufacturing Processes, 38(13), 1–14. https://doi.org/10.1080/10426914.2023.2187826
27. Pawar, O. A., Gaikhe, Y. S., Tewari, A., Sundaram, R., & Joshi, S. S. (2015). Analysis of hole quality in drilling GLARE fiber metal laminates. Composite Structures, 123, 350–365. https://doi.org/10.1016/j.compstruct.2014.12.056
28. Pereira, B., Griffiths, C. A., Birch, B., & Rees, A. (2022). Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys. The International Journal of Advanced Manufacturing Technology, 122, 1–16. https://doi.org/10.1007/s00170-022-10118-z
29. Pirtini, M., & Lazoglu, I. (2005). Forces and hole quality in drilling. International Journal of Machine Tools and Manufacture, 45(11), 1271–1281. https://doi.org/10.1016/j.ijmachtools.2005.01.004
30. Poór, D. I., Geier, N., Pereszlai, C., & Xu, J. (2021). A critical review of the drilling of CFRP composites: Burr formation, characterisation and challenges. Composites Part B: Engineering, 223, Makale 109155. https://doi.org/10.1016/j.compositesb.2021.109155
31. Pramanik, A., Basak, A. K., Uddin, M. S., Shankar, S., Debnath, S., & Islam, M. N. (2019). Burr formation during drilling of mild steel at different machining conditions. Materials and Manufacturing Processes, 34(7), 726–735. https://doi.org/10.1080/10426914.2019.1594276
32. Sambhav, K., Tandon, P., & Dhande, S. G. (2012). Geometric modeling and validation of twist drills with a generic point profile. Applied Mathematical Modelling, 36(6), 2384–2403. https://doi.org/10.1016/j.apm.2011.08.034
33. Sikulskyi, V., Maiorova, K., Garin, V., Myntiuk, V., & Sikulskyi, S. (2023). Modeling hole edge and burr formation during drilling using LS-DYNA. Integrated Computer Technologies in Mechanical Engineering–Synergetic Engineering içinde (ss. 123–136). Springer Nature Switzerland.
34. Sun, Z., Liu, Y., Geng, D., Zhang, D., Ying, E., Liu, R., & Jiang, X. (2025). Cutting performance and surface integrity during rotary ultrasonic elliptical milling of cast Ni-based superalloy. Journal of Materials Research and Technology, 35, 980–994. https://doi.org/10.1016/j.jmrt.2025.01.079
35. Thepsonthi, T., & Özel, T. (2015). 3-D finite element process simulation of micro-end milling Ti-6Al-4V titanium alloy: Experimental validations on chip flow and tool wear. Journal of Materials Processing Technology, 221, 128–145. https://doi.org/10.1016/j.jmatprotec.2015.02.019
36. Tongpadungrod, P., Laosuwan, S., Dechjarern, S., & Phalakornkule, C. (2018). Comparative burr heights formed on S50C and SS400 steel in drilling process. Materials Today: Proceedings, 5(3), 9424–9430. https://doi.org/10.1016/j.matpr.2017.10.120
37. Wang, S., Li, B., Zhang, H., & Ye, P. (2024). A global smoothing method with geometric continuity conditions of piecewise curve fitting for toolpath of massive micro-line segments in CNC. The International Journal of Advanced Manufacturing Technology, 133(5), 2841–2859. https://doi.org/10.1007/s00170-024-13824-z
38. Zhang, S., Liang, Z., Wang, X., Zhou, T., Jiao, L., & Yan, P. (2016). Grinding process of helical micro-drill using a six-axis CNC grinding machine and its fundamental drilling performance. The International Journal of Advanced Manufacturing Technology, 86(9–12), 2611–2623. https://doi.org/10.1007/s00170-016-8359-0