Experimental Analysis of Circular Milling for Material Identification in Aerospace Industry

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Abstract:

In the airplane design, thousand holes should be manufactured by machining leading this process in the first place for process optimization. Recently, the stack materials used in this application are sheet layers of Titanium alloy, Aluminum alloy and CFRP, which normally are machined under different cutting conditions. There are two main solutions when drilling stacks: using the more conservative ones or changing the parameters for each layer. In orbital drilling the forces are lower, with better quality but with longer machining time, compared to drilling, allowing the measurement and control of the process. Smart machining techniques can be applied for recognising and adapting the cutting parameters in real time, depending on a database for decision-making. In this paper, a technique is proposed to identify the cutting material based on the cutting and feed components of the machining force in a circular milling process. Experiments consist of machining separately Titanium and Aluminium alloy workpieces in a similar range of cutting speed and feed, measuring forces and the position of the cutting tool (X,Y, SP) using the machine-tool data. The results show that it is possible to identify the materials using the calculated tangential and radial force components in the tool referential frame because the values of specific cutting and feed force are significantly different for each material. An specific force map is used as a signature to distinguish the materials in real time machining which can be used for orbital drilling in the next step of the research.

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[1] Zhaoju Zhu, Kai Guo, Jie Sun, Jianfeng Li, Yang Liu, Yihao Zheng, and Lei Chen. Evaluation of novel tool geometries in dry drilling aluminium 2024-T351/titanium Ti6Al4V stack. Journal of Materials Processing Technology, 259:270-281, September (2018).

DOI: 10.1016/j.jmatprotec.2018.04.044

Google Scholar

[2] L K Gillespie. Burrs produced by drilling. Technical report, The Bendix Coporation, 8 (1976).

Google Scholar

[3] Robson Bruno Dutra Pereira, Lincoln Cardoso Brandão, Anderson Paulo de Paiva, João Roberto Ferreira, and J. Paulo Davim. A review of helical milling process. International Journal of Machine Tools and Manufacture, 120:27-48, September (2017).

DOI: 10.1016/j.ijmachtools.2017.05.002

Google Scholar

[4] Francisco Puerta Morales, Jorge Gómez, and Severo Raul Fernandez Vidal. Study of the Influence of Helical Milling Parameters on the Quality of Holes in the UNS R56400 Alloy. Applied Sciences, 10:845, January (2020).

DOI: 10.3390/app10030845

Google Scholar

[5] D. Sun, Patrick Lemoine, Daniel Keys, Patrick Doyle, Savko Malinov, Qing Zhao, Xuda Qin, and Yan Jin. Hole-making processes and their impacts on the microstructure and fatigue response of aircraft alloys. The International Journal of Advanced Manufacturing Technology, 94, (2018).

DOI: 10.1007/s00170-016-9850-3

Google Scholar

[6] Alexandra Lacombe. Influence du procédé de perçage sur l'intégrité de surface et la tenue en fatigue de pièces percées en AA2024-T351. Theses, Université Paul Sabatier - Toulouse III, January (2021).

Google Scholar

[7] H. Cao, H. Zhang, and X. Chen. The concept and progress of intelligent spindles: A review. International Journal of Machine Tools and Manufacture, pages 21-52, (2017).

DOI: 10.1016/j.ijmachtools.2016.10.005

Google Scholar

[8] N. Geier, P. Davim, and T. Szalay. Advanced cutting tools and technologies for drilling carbon fibre reinforced polymer (cfrp) composites: A review. Applied Science and Manufacturing, (2019).

DOI: 10.1016/j.compositesa.2019.105552

Google Scholar

[9] Andrea Pardo, Robert Heinemann, Nuno Miguel Nobre, and Luke Bagshaw. Assessment of decision-making algorithms for adaptive drilling of aerospace stacks. Procedia CIRP, 99, January (2021).

DOI: 10.1016/j.procir.2021.03.055

Google Scholar

[10] Qiang Fang, Ze-Min Pan, Bing Han, Shao-Hua Fei, Guan-Hua Xu, and Ying-Lin Ke. A Force Sensorless Method for CFRP/Ti Stack Interface Detection during Robotic Orbital Drilling Operations. 2015.[11] Eric Wenkler, Frank Arnold, Albrecht Hänel, Andreas Nestler, and Alexander Brosius. Intelligent characteristic value determination for cutting processes based on machine learning. Procedia CIRP, 79:9-14, January (2019).

DOI: 10.1016/j.procir.2019.02.003

Google Scholar

[12] E. J. A. Armarego and N. P. Deshpande. Computerized Predictive Cutting Models for Forces in End-Milling Including Eccentricity Effects. CIRP Annals, 38(1):45-49, January (1989).

DOI: 10.1016/s0007-8506(07)62649-3

Google Scholar

[13] D. Montgomery and Yusuf Altintas. Mechanism of Cutting Force and Surface Generation in Dynamic Milling. Journal of Engineering for Industry, 113, May (1991).

DOI: 10.1115/1.2899673

Google Scholar

[14] Avisekh Banerjee, Hsi-Yung Feng, and Evgueni V. Bordatchev. Geometry of chip formation in circular end milling. 59:21-35, March (2012).

Google Scholar

[15] Baohai Wu, Xue Yan, Ming Luo, and Ge Gao. Cutting force prediction for circular end milling process. Chinese Journal of Aeronautics, 26(4):1057-1063, August (2013).

DOI: 10.1016/j.cja.2013.04.003

Google Scholar

[16] Maria Clara Coimbra Gonçalves, Gilmar Ferreira Batalha, Yann Landon, and Anna Carla Araujo. Smart drilling: material identification using specific force map. In 11º COBEF, pages 1-7, Curitiba, Brazil, May (2021).

DOI: 10.26678/abcm.cobef2021.cob21-0195

Google Scholar

[17] Y Altintas. Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design. Applied Mechanics Reviews, 54(5):B84-B84, 09 (2001).

DOI: 10.1115/1.1399383

Google Scholar

[18] Martellotti M.E. An analysis of the milling process. Trans. ASME, pages 677-687, (1941).

Google Scholar

[19] Anna Carla Araujo, Guillaume Fromentin, and Gerard Poulachon. Analytical and experimental investigations on thread milling forces in titanium alloy. International Journal of Machine Tools and Manufacture, 67:28-34, (2013).

DOI: 10.1016/j.ijmachtools.2012.12.005

Google Scholar

[20] Fraisa. Catalogue fraisa. https://www.fraisa.com/fr/produits/outils-de-fraisage, (2020).

Google Scholar

[21] Chao Liu, Hrishikesh Vengayil, Yuqian Lu, and Xun Xu. A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect. Journal of Manufacturing Systems, 51, April (2019).

DOI: 10.1016/j.jmsy.2019.04.006

Google Scholar

[22] Anna Carla Araujo and Guillaume Fromentin. Modeling thread milling forces in mini-hole in dental metallic materials. Procedia CIRP, 58:623-628, (2017).

DOI: 10.1016/j.procir.2017.03.228

Google Scholar