Rui Tang, Yun Ling
Engineering Techniques Training Center, Civil Aviation Flight University of China, Guanghan, Sichuan, China
In recent years, with the continuous development of my country's industrial level, people's research and exploration in the machining and application of porous titanium alloys has become more and more in-depth. In order to achieve greater breakthroughs and development in the field of optimization test research on surface integrity parameters of porous titanium alloy machining. In this paper, experiments and finite element simulation methods are used to adjust the process of titanium alloy machining by multi-step cutting and prestressed cutting, in order to control the surface quality of titanium alloy machining. Titanium alloys have superior performance and have the advantages of high strength and high corrosion resistance, but the small thermal conductivity and elastic modulus make titanium alloys difficult to cut. In this paper, a simulation model of multi-step cutting and pre-stressed cutting of titanium alloys is established, and the specific laws of multi-step cutting and pre-stressed cutting process regulation affecting chip shape, cutting force and residual stress of machined surface layer are studied. The results show that both multi-step cutting and prestress cutting can increase the residual compressive stress on the finished surface. The final results of the study showed that when the titanium alloy was cut at a distance of 4.63 mm, the corresponding machine wear was 5.41%. In the application process of porous titanium alloy cutting, the wear degree caused by titanium alloy cutting is not affected by its cutting distance, and the wear degree caused by titanium alloy cutting has always maintained an average level of about 5.5%, which is relatively stable.
Porous Titanium Alloy, Machining, Surface Integrity, Parameter Optimization
Rui Tang, Yun Ling. Experimental Study on Optimization of Surface Integrity Parameters in Machining of Porous Titanium Alloys. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 7: 68-73. https://doi.org/10.25236/IJFET.2022.040714.
 Danish M, Rubaiee S, Ijaz H. Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy. Materials, 2021.72:199-211.
 Anish M, Jayaraman J, Arunkumar T, et al. Experimental investigation on optimization of process parameters of cutting Ti6Al4V composite using wire cut machining. Materials Today: Proceedings, 2020. 18(9):120-147.
 V Veeranaath, Das R K, Rai S K, et al. Experimental Study and Optimization of Residual Stresses in Machining of Ti6Al4V Using Titanium and Multi-layered Inserts. IOP Conference Series: Materials Science and Engineering, 2020, 912(3):98-125.
 Tajdeen A, Sakthivelmurugan E, Khan M W, et al. Optimization of machining parameters in Electric Discharge Machining of Magnesium and Aluminium by Taguchi Technique. IOP Conference Series: Materials Science and Engineering, 2020, 4(1):258-294.
 Kesavan J, Velmurugan C, Senthilkumar V, et al. Optimization of WEDM parameters on surface integrity characteristics of NiTi shape memory alloy. Materials Today: Proceedings, 2021.12.235-265.
 Magabe R, Sharma N, Gupta K, et al. Modeling and Optimization of Wire-EDM Parameters for Machining of Ni55.8-Ti Shape Memory Alloy using hybrid approach of Taguchi and NSGA-II. International Journal of Advanced Manufacturing Technology, 2019, 102(5-8).
 Bisaria H, Shandilya P. Surface Integrity of Ni-Rich NiTi Shape Memory Alloy at Optimized Level of Wire Electric Discharge Machining Parameters. Journal of Materials Engineering and Performance, 2019, 28(3).15-58.
 Chandrashekarappa M, Kumar S, Jagadish, et al. Experimental Analysis and Optimization of EDM Parameters on HcHcr Steel in Context with Different Electrodes and Dielectric Fluids Using Hybrid Taguchi-Based PCA-Utility and CRITIC-Utility Approaches. 2021. 1175:12116.
 Takale A, Chougule N. Optimization of process parameters of wire electro discharge machining for Ti 49.4 Ni 50.6 shape memory alloys using the Taguchi technique. International Journal of Structural Integrity, 2019, 10(4):548-568.
 Gopan V, Leo D, Evangeline G, et al. Experimental Investigation for the Multi-Objective Optimization of Machining Parameters on AISI D2 Steel using Particle Swarm Optimization Coupled with Artificial Neural Network. Journal of Advanced Manufacturing Systems, 2020(2).154-186.
 Venkatesan K, Devendiran S, Bhupatiraju S C S R, et al. Experimental investigation and optimization of micro-drilling parameters on Inconel 800 superalloy. Materials and Manufacturing Processes, 2020(5):1-14.
 Uray E, Carbas S, Geem Z W, et al. Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems. Mathematics, 2022, 10(4)123-214.