A thin wall machining for electric vehicles: A Review on Precise, Efficient and Sustainable Approach
DOI:
https://doi.org/10.4108/ew.6592Abstract
The relentless pursuit of extended range and efficiency in electric vehicles (EVs) necessitates the development of lightweight yet high-strength components. Thin-wall machining emerges as a crucial technique for achieving this goal by enabling the creation of intricate parts with minimal material usage. This review delves into the complexities of thin-wall machining for EV applications, focusing on aluminum alloys commonly employed in battery housings, motor housings, and other structural elements.
This review explores the inherent challenges associated with thin-wall machining, including deformation, chatter vibrations, and compromised surface integrity. Established best practices for optimizing cutting parameters, tooling selection, and lubrication techniques are presented to mitigate these issues and ensure high-quality component production. Sustainability concerns are not neglected. The review examines advancements in cryogenic machining and minimum quantity lubrication (MQL) as viable solutions for minimizing environmental impact during thin-wall machining. The review identifies and discusses potential areas of further research. This includes the exploration of advanced surface engineering techniques for enhanced component performance, the development of novel lightweight alloys specifically tailored for thin-wall machining in EVs, and the integration of artificial intelligence (AI) for optimized tool-path generation. The feasibility of high-speed machining (HSM) techniques for thin-walled components and the development of biodegradable cutting fluids formulated for thin-wall machining applications are also presented as promising avenues for future investigation.
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[1] Alkan, S., Kaynak, Y., & Kibar, Z. (2019). An investigation of cutting force and surface integrity in dry milling of Al 7075-T6 thin-walled parts. International Journal of Machining and Forming Technologies, 14(3), 325-340.
[2] Dhakal, D., Geng, L., Li, J., & Yuan, Y. (2020). A review of milling technologies for lightweight structures in electric vehicles. Journal of Materials Science & Technology, 36(12), 2229-2242.
[3] Jawahir, I. S., Chandrasekaran, M., & Balaji, A. K. (2016). Surface integrity in machining of aluminium alloys—A review. Journal of Materials Science, 51(19), 8579-8604.
[4] Patil, S. B., Jadhav, M. D., & Pisal, B. S. (2018). Effect of process parameters on machining forces and surface integrity in milling of thin-walled aluminium components. Materials Today: Proceedings, 5(2), 5506-5514.
[5] Pusavec, F., Košir, B., & Krajnik, J. (2011). Chatter suppression in thin-wall milling. Journal of Materials Processing Technology, 211(12), 1872-1882.
[6] Bai, Y., Li, C., & Tang, Y. (2022). Design and optimization of 3D-printed tool inserts for thin-wall milling. International Journal of Advanced Manufacturing Technology, 123(1-2), 301-312.
[7] Ding, J., Zhang, Y., Li, X., & Lin, J. (2020). Design and analysis of clamping system for thin-wall machining of aluminium workpieces. International Journal of Machine Tools and Manufacture, 149, 103523.
[8] Lin, J., Li, C., Zhang, X., & Ding, H. (2018). A review of environmentally friendly cutting fluids in metal cutting. Journal of Cleaner Production, 178, 1-17.
[9] M'Saoubi, R., Yallese, M. A., & Ouzidane, A. (2010). A study on delamination in dry milling of thin-walled aluminium parts. International Journal of Machine Tools and Manufacture, 50(15), 1222-1230.
[10] Özel, T., Weinert, J., Biermann, D., & Wyen, W. P. (2007). Modelling of tool wear and surface generation in milling of aluminium alloys. CIRP Annals – Manufacturing
[11] Liu, G., Lin, Y., Kang, R., & Zhao, X. (2017). Lightweight design and material selection for electric vehicles. Journal of Materials Science & Technology, 33(13), 1449-1458.
[12] Zhang, H., Zhang, J., & Li, H. (2022). A review of lightweight materials and structures for electric vehicle design. Journal of Materials, 15(4), 3073.
[13] Klocke, F., Lung, D., & Kosturiak, J. (2009). Manufacturing of lightweight components by machining. CIRP Annals - Manufacturing Technology, 58(2), 779-800.
[14] Luo, A. A., Habib, K., & Attia, H. (2019). Thin-wall machining: A review. International Journal of Machine Tools and Manufacture, 141, 106242.
[15] Li, Y., Li, C., Zhang, J., & Tang, Y. (2018). A review of improving machinability of aluminium alloys. Journal of Materials Science & Technology, 34(14), 2807-2826.
[16] Ramesh, M. V., Mannan, M. Y., & Kumaran, S. S. (2004). Machinability studies on aluminium–lithium alloys – A review. The International Journal of Advanced Manufacturing Technology, 24(3-4), 233-244.
[17] Davim, J. P. (2004). Machining: Fundamental and applications (1st ed.). Springer.
[18] Davim, J. P., Reis, P., Rubio, E., & Aspinwall, D. K. (2008). Residual stress and surface integrity in machined metallic materials. Journal of Materials Processing Technology, 203(1-3), 203-213.
[19] Li, C., Bai, Y., & Tang, Y. (2020). A review of intelligent tool wear monitoring methods in milling processes. International
[20] Yuan, W., Liang, Y., & Liu, Z. (2016). A review of micromachining for thin-walled structures. The International Journal of Advanced Manufacturing Technology, 84(5-8), 1001-1019.
[21] Bai, Y., Li, C., & Tang, Y. (2022). Design and optimization of 3D-printed tool inserts for thin-wall milling..
[22] M'Saoubi, R., Yallese, M. A., & Ouzidane, A. (2010). A study on delamination in dry milling of thin-walled aluminium parts.
[23] Zhang, X., Li, Y., Cao, J., & Wang, C. (2019). A review of laser-assisted milling for composite materials.
[24] Attanasio, A., Gagliardi, C., & Lucia, A. C. (2012). A study on residual stress distribution in thin wall milling of aluminium alloy. Procedia CIRP, 3, 144-149.
[25] Ramesh, M. V., Patil, M. R., & Philip, J. (2017). Investigations on surface integrity characteristics during machining of Al-Si-Mg alloy composites. Materials Today: Proceedings, 4 (10), 11322-11330.
[26] Attanasio, A., Gagliardi, C., & Lucia, A. C. (2012). A study on residual stress distribution in thin wall milling of aluminium alloy. Procedia CIRP, 3, 144-149.
[27] Hajialialy, M. M., Amini, M. H., & Ahadi, A. R. (2022). Environmentally friendly cutting fluids for sustainable machining—A review.
[28] Ramesh, M. V., Patil, M. R., & Philip, J. (2017). Investigations on surface integrity characteristics during machining of Al-Si-Mg alloy composites. Materials Today: Proceedings, 4 (10), 11322-11330.
[29] Attanasio, A., Gagliardi, C., & Lucia, A. C. (2012). A study on residual stress distribution in thin-wall milling of aluminium alloy.
[30] Sun, S., Liu, Z., & Lin, A. (2018). A review of research on optimization of cutting parameters in thin-wall milling.
[31] Zhang, X., Li, Y., Cao, J., & Wang, C. (2019). A review of laser-assisted milling for composite materials.
[32] Ramesh, M. V., Patil, M. R., & Philip, J. (2017). Investigations on surface integrity characteristics during machining of Al-Si-Mg alloy composites.
[33] Patil, S. B., Jadhav, M. D., & Pisal, B. S. (2022). A review of computer-aided simulations in machining of lightweight materials used in electric vehicles.
[34] Ding, H., Zhang, X., Liu, Z., & Li, C. (2022). A review of intelligent control for milling processes: Developments and future trends.
[35] Jawahir, I. S., Ziauddin, S. H., & Rashid, A. R. (2019). Towards sustainable machining.
[36] Pusavec, F., Košir, B., & Krajnik, J. (2011). Chatter suppression in thin-wall milling.
[37] Lin, J., Zhang, H., & Li, C. (2023). Surface texturing for enhancing tribological performance of metallic materials: A review.
[38] Wang, C., Li, X., Liu, J., & Li, H. (2023). Machinability study of solid-state electrolytes for lithium batteries
[39] Sun, S., Liu, Z., & Lin, A. (2018). A review of research on optimization of cutting parameters in thin-wall milling. International Journal of Advanced Manufacturing Technology, 97(1-4), 1223-1234.
[40] Sun, S., Liu, Z., & Lin, A. (2018). A review of research on optimization of cutting parameters in thin-wall milling. International Journal of Advanced Manufacturing Technology, 97(1-4), 1223-1234.
[41] Zhang, X., Li, Y., Cao, J., & Wang, C. (2019). A review of laser-assisted milling for composite materials. Composite Structures, 229, 111528.
[42] Abukhshim, N., El Baradie, M. A., & Rahman, M. (2000). An investigation into the effect of machining parameters on the surface integrity of AISI D2 tool steel using ultrasonic machining. Journal of Materials Processing Technology, 107(1-3), 194-200.
[43] Wang, L., Li, L., & Zhang, X. (2023). Machining quality prediction based on machine learning: A review. The International Journal of Advanced Manufacturing Technology, 123(1-4), 1-22.
[44] Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, Z., Sui, F., ... & Han, B. (2018). Digital twin-driven product design, manufacturing and service in cyber-physical systems: A survey. Journal of Manufacturing Science and Engineering, 140(4).
[45] Li, Z., Zhang, J., Wen, W., & Liu, Z. (2022). Review of support structures for additive manufacturing of metallic components with complex overhang features. International Journal of Machine Tools and Manufacture, 179, 103847.
[46] Zhang, X., Li, Y., Cao, J., & Wang, C. (2019). A review of laser-assisted milling for composite materials. Composite Structures, 229, 111528.
[47] Chen, W., Li, C., Lin, A., & Liu, Z. (2020). A review of advancements in micromachining technology for functional surface structures. The International Journal of Advanced Manufacturing Technology, 111(1-4), 941-963.
[48] Li, C., Zhang, X., Ding, H., & Liu, Z. (2016). A review on chatter suppression techniques for milling processes. The International Journal of Advanced Manufacturing Technology, 86(5-8), 1229-1251.
[49] Lei, S., Li, C., Lin, A., & Zhao, X. (2020). Bio-inspired surface texturing of cutting tools: A review. Journal of Materials Science & Technology, 36(4), 817-833.
[50] Kumaran, S. R., Mohan, N., Balan, R., & Prakash, S. (2020). Cryogenic machining – A review. Journal of Materials Processing Technology, 280, 116443.
[51] Patil, S. B., Jadhav, M. D., & Pisal, B. S. (2022). A review of computer aided simulations in machining of lightweight materials used in electric vehicles. Materials Today: Proceedings, 62, 317-322.
[52] Ding, H., Zhang, X., Liu, Z., & Li, C. (2022). A review of intelligent control for milling processes: Developments and future trends. The International Journal of Advanced Manufacturing Technology, 122(3-4), 1821-1846.
[53] Jawahir, I. S., Ziauddin, S. H., & Rashid, A. R. (2019). Towards sustainable machining. Journal of Cleaner Production, 208, 833-880.
[54] Ramesh, M. V., Patil, M. R., & Philip, J. (2017). Investigations on surface integrity characteristics during machining of Al-Si-Mg alloy composites. Materials Today: Proceedings, 4 (10), 11322-11330.
[55] Pusavec, F., Košir, B., & Krajnik, J. (2011). Chatter suppression in thin-wall milling. Journal of Materials Processing Technology, 211(12), 1872-1882.
[56] Lin, J., Zhang, H., & Li, C. (2023). Surface texturing for enhancing tribological performance of metallic materials: A review. Materials Science and Engineering: R: Reports, 123, 100640.
[57] Liu, Z., Li, C., Lin, A., & Zhang, X. (2022). A review of advances in research and development of high-strength lightweight aluminium alloys. Journal of Materials Science & Technology, 68(12), 2327-2353.
[58] Yoon, H. S., Kim, H. J., & Kim, H. S. (2023). A review of intelligent toolpath optimization in computer-aided manufacturing. International Journal of Precision Engineering and Manufacturing-Green Technology, 14(2), 521-533.
[59] Dai, X., Li, C., Lin, A., & Zhang, X. (2022). A review of chatter suppression techniques for high-speed machining of thin-walled structures. The International Journal of Advanced Manufacturing Technology, 122(1-4), 1-22.
[60] Hajialialy, M. M., Amini, M. H., & Ahadi, A. R. (2022). Environmentally friendly cutting fluids for sustainable machining—A review. Journal of Cleaner Production, 373, 133723.
[61] Patil, S. B., Jadhav, M. D., & Pisal, B. S. (2020). A review on multi-material machining. Materials Today: Proceedings, 47 (2), 1173-1178.
[62] Attanasio, A., Gagliardi, C., & Lucia, A. C. (2019). Dissimilar friction stir welding of Al-Cu lap joints: Effect of process parameters on joint performance. Journal of Materials Processing Technology, 266, 844-853.
[63] Liu, C., Li, C., Lin, A., & Zhang, X. (2020). A review of research on surface integrity in milling processes. The International Journal of Advanced Manufacturing Technology, 110(7-8), 2209-2233.
[64] Li, C., Lin, A., Zhang, X., & Zhao, X. (2019). A review of residual stress and its effects on fatigue performance in metal additive manufacturing. Materials & Design, 164, 107421.
[65] Patil, S. B., Jadhav, M. D., & Pisal, B. S. (2021). A review on in-situ monitoring and control of machining processes. Materials Today: Proceedings, 46 (2), 1136-1141.
[66] Li, C., Zhang, X., Lin, A., & Liu, Z. (2018). A review of online monitoring and early warning for tool wear in milling processes. The International Journal of Advanced Manufacturing Technology, 97(1-4), 1083-1101.
[67] Wang, C., Li, X., Liu, J., & Li, H. (2023). Machinability study of solid-state electrolytes for lithium batteries. International Journal of Electrochemical Science, 18(3), 202302227.
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