Manufacturing Technology 2025, 25(3):413-423 | DOI: 10.21062/mft.2025.036

Titanium Alloy Turning Machining Model and Quality Analysis Based on Finite Element Analysis

Zhenhua Wang ORCID..., Haifang Yin ORCID...
Engineering Training Center, Shandong Huayu University of Technology, Dezhou, 253000, China

Workpiece fabrication of titanium alloy is widely used in several high-end fields. In this study, finite element analysis of titanium alloy turning process is carried out and the turning process is modeled by using material properties and intrinsic equations. Then the power transmission of centerless lathe is controlled in the machining process, so as to obtain the performance calculation of different process parameters on cutting force, chips, and residual stress. The analysis of the simulation and experimental data yielded that when the tool travel speed was 1 m/min, the radial force increased to a maximum value of 150N. When the depth of cut was 0.3mm, the radial force was 151N and then increased to 200N. In the comparison of the simulation results, it was concluded that the depth of cut was 0.3mm, the minimum error value was 7.43%. In the quality analysis, the optimum parameters for travel speed and depth of cut were 1.0 m/min and 0.2mm respectively. When the spindle speed was 480 r/min, the roughness of the machined surface of titanium alloy was closer to the simulation results, and the lowest difference was 0.1 μm. Therefore, the finite element machining model of titanium alloy turning proposed by the study could effectively improve the machining quality and accuracy, and it has superiority. In the future machining and parts manufacturing, it can improve the processing efficiency and promote the optimization of titanium alloy material properties.

Keywords: Finite element analysis, Titanium alloy material, Finishing process, Cutting force, Residual stresses
Grants and funding:

The research is supported by School Grants platform for Scientific Research of Shandong Huayu University of Technology in 2019: CNC tool manufacturing process research and development center

Received: February 12, 2025; Revised: April 27, 2025; Accepted: May 22, 2025; Prepublished online: May 23, 2025; Published: July 4, 2025  Show citation

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Wang Z, Yin H. Titanium Alloy Turning Machining Model and Quality Analysis Based on Finite Element Analysis. Manufacturing Technology. 2025;25(3):413-423. doi: 10.21062/mft.2025.036.
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    References

    1. WU, Y., HE, W., MA, H., NIE, X., LIANG, X., PAN, J., WANG, S., SHANG, M., CHENG, L. (2024). Titanium Alloy Materials with Very High Cycle Fatigue: A Review. In: Materials, Vol. 17, No. 12, pp. 1-37. Go to original source...
    2. TEBALDO, V., GIOVANNA, G. D. C., DURACCIO, D., FAGA, M. G. (2024). Sustainable Recovery of Titanium Alloy: From Waste to Feedstock for Additive Manufacturing. In: Sustainability, Vol. 16, No. 1, pp. 1-28. Go to original source...
    3. AGEEV, E. V., AGEEVA, E. V., AGEEVA, A. E., SEREBROVSKI, V. I. (2023). Physical and Mechanical Properties of a Tungsten-Titanium-Cobalt Alloy Produced by Spark Plasma Sintering of Hard-Alloy Electroerosive Powders Produced in Kerosene. In: Metallurgist, Vol. 67, No. 3/4, pp. 526-531. Go to original source...
    4. LI, Z., WANG, Q., DU, X., YANG, C., WANG, K. (2024). Thermal Deformation Behavior and Microstructural Evolution Mechanism of TC4 Titanium Alloy Based on Hot Processing Map. In: JOM, Vol. 76, No. 9, pp. 5233-5246. Go to original source...
    5. YANG, Y., WANG, Y., SUN, C., WU, Q., YAN, J., LIU, Y., YAO, J., ZHANG, W. (2024). Processing of Titanium Alloys with Improved Efficiency and Accuracy by Laser and Electrochemical Machining. In: The International Journal of Advanced Manufacturing Technology, Vol. 130, No. 7, pp. 4013-4025. Go to original source...
    6. XIAO, G., ZHU, S., HE, Y., LIU, G., NI, Y. (2023). Thermal-Mechanical Effect and Removal Mechanism of Ti-6Al-4V During Laser-Assisted Grinding. In: Chinese Journal of Mechanical Engineering, Vol. 36, No. 5, pp. 77-96. Go to original source...
    7. AHMAD, A., AKRAM, S., JAFFERY, S. H. I., KHAN, M. A. (2023). Evaluation of Specific Cutting Energy, Tool Wear, and Surface Roughness in Dry Turning of Titanium Grade 3 Alloy. In: The International Journal of Advanced Manufacturing Technology, Vol. 137, No. 3, pp. 1263-1274. Go to original source...
    8. YANG, H., WANG, Z. (2023). The Different Electroplastic Effects of Cutting Directions During the Turning Process of Ti-6Al-4V Titanium Alloy. In: International Journal of Materials & Product Technology, Vol. 67, No. 2, pp. 155-165. Go to original source...
    9. WANG, D., CHEN, X., LAI, X., ZHAO, G., YANG, Y. (2023). Effect of Cutting Surface Integrity on Fatigue Properties of TC17 Titanium Alloy. In: Materials, Vol. 16, No. 16, pp. 1-14. Go to original source...
    10. PALANIVEL, R., DINAHARAN, I., LAUBSCHER, R. F., ALSWAT, H. M. (2024). Influence of Micro-Textured Polycrystalline Diamond Tools on the Machining Performance of Titanium Alloy Ti-6Al-4V in Dry Turning. In: International Journal of Advanced Manufacturing Technology, Vol. 132, No. 9/10, pp. 4297-4313. Go to original source...
    11. LI, L., SUN, S., XING, W., ZHANG, Y., WU, Y., XU, Y., WANG, H., ZHANG, G., LUO, G. (2024). Progress in Simulation Modelling Based on the Finite Element Method for Electrical Discharge Machining. In: Metals, Vol. 14, No. 1, pp. 1-34. Go to original source...
    12. YU, H., HE, Z., LI, J., LI, B., XIN, J., YAO, L., YAN, F. (2023). Finite Element Modeling on Micro-Machining of Graphene-Reinforced Aluminum Matrix Composites. In: The International Journal of Advanced Manufacturing Technology, Vol. 124, No. 1, pp. 97-110. Go to original source...
    13. GROSSI, N., SCIPPA, A., CAMPATELLI, G. (2024). Diametral Error Correction in Turning Slender Workpieces: An Integrated Approach. In: International Journal of Advanced Manufacturing Technology, Vol. 130, No. 4, pp. 1393-1404. Go to original source...
    14. SURANI, K., PATEL, S., MOUNAGURUSAMY, M. K., ZAHRA, M. M. A., PANCHAL, H., SIDDIQUI, M. I. H., SHAH, M. A., NATRAYAN, L., KUMAR, A. (2024). Numerical Analysis of the Powder Mixed Electrical Discharge Machining (PMEDM) Process for TZM-Molybdenum Superalloy Using Finite Element Method. In: AIP Advances, Vol. 14, No. 2, pp. 1-15. Go to original source...
    15. OLLER, S., NALLIM, L. G., BELLOMO, F. J., RUANO, G. (2023). A Theoretical Homogenized Constitutive Model Formulation for Matrix Composite Materials Reinforced with Curved Fibers. In: Composite Structures, Vol. 304, No. 2, pp. 116432-116441. Go to original source...
    16. Gan, S. M., Han, Y. Q., Bao, X. Y. (2022). Influence of Energy Ratio of Hybrid Heat Source on Residual Stress Distribution of 7A52 Aluminum Alloy VPPA-MIG Hybrid Welding. Manufacturing Technology, Vol. 22, No. 3, pp. 279-287. Go to original source...
    17. ERUM, N., AHMAD, J. (2024). Structural, Elastic and Mechanical Properties of Cubic Perovskite Materials. In: Archives of Advanced Engineering Science, Vol. 2, No. 1, pp. 24-29. Go to original source...
    18. ZHAO, X., LI, C., TANG, Y., LI, X., CHEN, X. (2024). Reinforcement Learning-Based Cutting Parameter Dynamic Decision Method Considering Tool Wear for a Turning Machining Process. In: International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 11, No. 4, pp. 1053-1070. Go to original source...
    19. Karolczak, P. (2023). Analysis of Cutting Forces with Application of the Discrete Wavelet Transform in Titanium Ti6Al4V Turning. Manufacturing Technology, Vol. 23, No. 4, pp. 449-460. Go to original source...
    20. ZOU, Z., HE, L., ZHOU, T. T. P. Z. T. (2024). Research on Serrated Chip Morphology for Turning Ti6Al4V Titanium Alloy by Considering Damage Evolution. In: Journal of Manufacturing Processes, Vol. 118, No. 5, pp. 283-301. Go to original source...

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