Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (3): 446-456.doi: 10.1007/s40436-020-00330-1
Previous Articles Next Articles
Yan-Zhe Zhao1,2, Kai Guo1,2, Vinothkumar Sivalingam1,2, Jian-Feng Li1,2, Qi-Dong Sun1,2, Zhao-Ju Zhu1,3, Jie Sun1,2
Received:2020-08-12
Revised:2020-09-29
Online:2021-09-25
Published:2021-09-13
Supported by:Yan-Zhe Zhao, Kai Guo, Vinothkumar Sivalingam, Jian-Feng Li, Qi-Dong Sun, Zhao-Ju Zhu, Jie Sun. Surface integrity evolution of machined NiTi shape memory alloys after turning process[J]. Advances in Manufacturing, 2021, 9(3): 446-456.
| 1. Bil C, Massey K, Abdullah EJ (2013) Wing morphing control with shape memory alloy actuators. J Intell Mater Syst Struct 24:879-898 2. Petrini L, Migliavacca F (2011) Biomedical applications of shape memory alloys. J Metall. https://doi.org/10.1155/2011/501483 3. Kaya E, Kaya İ (2020) Tool wear progression of PCD and PCBN cutting tools in high speed machining of NiTi shape memory alloy under various cutting speeds. Diam Relat Mater. https://doi.org/10.1016/j.diamond.2020.107810 4. Hope J, McDaid A (2017) Development of wearable wrist and forearm exoskeleton with shape memory alloy actuators. J Intell Robot Syst Theory Appl 86:397-417 5. Nematollahi M, Baghbaderani KS, Amerinatanzi A et al (2019) Application of NiTi in assistive and rehabilitation devices:a review. Bioeng. https://doi.org/10.3390/bioengineering6020037 6. Jayachandran S, Akash K, Mani Prabu SS et al (2019) Investigations on performance viability of NiTi, NiTiCu, CuAlNi and CuAlNiMn shape memory alloy/Kapton composite thin film for actuator application. Compos Part B Eng 176:107182. https://doi.org/10.1016/j.compositesb.2019.107182 7. Mehrpouya M, Bidsorkhi HC (2017) MEMS applications of NiTi based shape memory alloys:a review. Micro Nanosyst 8:79-91 8. Hsieh SF, Hsue AWJ, Chen SL et al (2013) EDM surface characteristics and shape recovery ability of Ti35.5Ni48.5Zr16 and Ni60Al24.5Fe15.5 ternary shape memory alloys. J Alloys Compd 571:63-68 9. Pfeifer R, Herzog D, Hustedt M et al (2010) Pulsed Nd:YAG laser cutting of NiTi shape memory alloys-influence of process parameters. J Mater Process Technol 210:1918-1925 10. Kong MC, Srinivasu D, Axinte D et al (2013) On geometrical accuracy and integrity of surfaces in multi-mode abrasive waterjet machining of NiTi shape memory alloys. CIRP Ann Manuf Technol 62:555-558 11. Kaynak Y, Huang B, Karaca HE et al (2017) Surface characteristics of machined NiTi shape memory alloy:the effects of cryogenic cooling and preheating conditions. J Mater Eng Perform 26:3597-3606 12. Weinert K, Petzoldt V, Kötter D (2004) Turning and drilling of NiTi shape memory alloys. CIRP Ann Manuf Technol 53:65-68 13. Wang G, Liu Z, Niu J et al (2019) Work hardening influencing on shape memory effect of NiTi alloy by varying milling speeds. Smart Mater Struct. https://doi.org/10.1088/1361-665X/ab3de2 14. Elahinia M, Shayesteh MN, Taheri AM et al (2016) Fabrication of NiTi through additive manufacturing:a review. Prog Mater Sci 83:630-663 15. Mehrpouya M, Gisario A, Elahinia M (2018) Laser welding of NiTi shape memory alloy:a review. J Manuf Process 31:162-186 16. Huang H, Zheng HY, Liu Y (2005) Experimental investigations of the machinability of Ni50.6Ti49.4 alloy. Smart Mater Struct. https://doi.org/10.1088/0964-1726/14/5/019 17. Kaynak Y, Karaca HE, Noebe RD et al (2013) Tool-wear analysis in cryogenic machining of NiTi shape memory alloys:a comparison of tool-wear performance with dry and MQL machining. Wear 306:51-63 18. Hassan MR, Mehrpouya M, Dawood S (2014) Review of the machining difficulties of nickel-titanium based shape memory alloys. Appl Mech Mater 564:533-537 19. Wu SK, Lin HC, Chen CC (1999) Study on the machinability of a Ti49.6Ni50.4 shape memory alloy. Mater Lett 40:27-32 20. Weinert K, Petzoldt V (2004) Machining of NiTi based shape memory alloys. Mater Sci Eng A 378:180-184 21. Guo Y, Klink A, Fu C et al (2013) Machinability and surface integrity of nitinol shape memory alloy. CIRP Ann Manuf Technol 62:83-86 22. Wang G, Liu Z, Ai X et al (2018) Effect of cutting parameters on strain hardening of nickel-titanium shape memory alloy. Smart Mater Struct. https://doi.org/10.1088/1361-665X/aac43d 23. Zainal AZ, Tarisai MP, Harrison G (2020) Chilled air system and size effect in micro-milling of nickel-titanium shape memory alloys. Int J Precis Eng Manuf Green Technol 7:283-297 24. Liu JF, Li L, Guo YB (2014) Surface integrity evolution from main cut to finish trim cut in W-EDM of shape memory alloy. Procedia CIRP 13:137-142 25. Huang TS, Hsieh SF, Chen SL et al (2015) Surface modification of TiNi-based shape memory alloys by dry electrical discharge machining. J Mater Process Technol 221:279-284 26. Zhao Y, Li J, Guo K et al (2020) Study on chip formation characteristics in turning NiTi shape memory alloys. J Manuf Process 58:787-795 27. Mehrpouya M, Shahedin AM, Daood SDS et al (2017) An investigation on the optimum machinability of NiTi based shape memory alloy. Mater Manuf Process 32:1497-1504 28. Dash B, Das M, Das M et al (2019) A concise review on machinability of NiTi shape memory alloys. Mater Today Proc 18:5141-5150 29. Ulutan D, Ozel T (2011) Machining induced surface integrity in titanium and nickel alloys:a review. Int J Mach Tools Manuf 51:250-280 30. Deltombe R, Kubiak KJ, Bigerelle M (2014) How to select the most relevant 3D roughness parameters of a surface. Scanning 36:150-160 31. Sivalingam V, Sun J, Yang B et al (2018) Machining performance and tool wear analysis on cryogenic treated insert during end milling of Ti-6Al-4V alloy. J Manuf Process 36:188-196 32. Thakur A, Mohanty A, Gangopadhyay S (2014) Comparative study of surface integrity aspects of Incoloy 825 during machining with uncoated and CVD multilayer coated inserts. Appl Surf Sci 320:829-837 33. Dhar NR, Kamruzzaman M (2007) Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition. Int J Mach Tools Manuf 47:754-759 34. Thakur A, Gangopadhyay S (2016) State-of-the-art in surface integrity in machining of nickel-based super alloys. Int J Mach Tools Manuf 100:25-54 35. Arunachalam RM, Mannan MA, Spowage AC (2004) Surface integrity when machining age hardened Inconel 718 with coated carbide cutting tools. Int J Mach Tools Manuf 44:1481-1491 36. Zou B, Chen M, Huang C et al (2009) Study on surface damages caused by turning NiCr20TiAl nickel-based alloy. J Mater Process Technol 209:5802-5809 37. Kaynak Y, Karaca HE, Jawahir IS (2014) Surface integrity characteristics of NiTi shape memory alloys resulting from dry and cryogenic machining. Procedia CIRP 13:393-398 38. Kaynak Y (2014) Machining and phase transformation response of room-temperature austenitic NiTi shape memory alloy. J Mater Eng Perform 23:3354-3360 39. Wang G, Liu Z, Niu J et al (2020) Effect of electrochemical polishing on surface quality of nickel-titanium shape memory alloy after milling. J Mater Res Technol 9:253-262 40. Kaynak Y, Tobe H, Noebe RD et al (2014) The effects of machining on the microstructure and transformation behavior of NiTi alloy. Scr Mater 74:60-63 41. Miller DA, Lagoudas DC (2000) Thermomechanical characterization of NiTiCu and NiTi SMA actuators:influence of plastic strains. Smart Mater Struct 9:640-652 42. Arunachalam RM, Mannan MA, Spowage AC (2004) Residual stress and surface roughness when facing age hardened Inconel 718 with CBN and ceramic cutting tools. Int J Mach Tools Manuf 44:879-887 |
| [1] | Jia-Heng Zeng, Quan-Li Zhang, Yu-Can Fu, Jiu-Hua Xu. Heterogeneous ablation behavior of SiCf/SiC composite by nanosecond pulse laser [J]. Advances in Manufacturing, 2025, 13(1): 196-210. |
| [2] | Yu-Tong Yang, Zhong-Yuan Qiu, Zhen Zheng, Liang-Xi Pu, Ding-Ding Chen, Jiang Zheng, Rui-Jie Zhang, Bo Zhang, Shi-Yao Huang. Al-enabled properties distribution prediction for high-pressure die casting Al-Si alloy [J]. Advances in Manufacturing, 2024, 12(3): 591-602. |
| [3] | Bo Wang, Zhong Jiang, Pei-Da Hu. Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads [J]. Advances in Manufacturing, 2024, 12(1): 33-60. |
| [4] | Chang-Sheng Li, Na Zhao, Liang-Chi Zhang, Jian-Jun Ding, Lin Sun, Duan-Zhi Duan, Cheng-Wei Kang, Zhuang-De Jiang. An analytical method for assessing the initiation and interaction of cracks in fused silica subjected to contact sliding [J]. Advances in Manufacturing, 2023, 11(3): 363-377. |
| [5] | Xue-hong Shen, Chang-Feng Yao, Liang Tan, Ding-Hua Zhang. Prediction model of surface integrity characteristics in ball end milling TC17 titanium alloy [J]. Advances in Manufacturing, 2023, 11(3): 541-565. |
| [6] | Zhi-Fu Xue, Min Lai, Fei-Fei Xu, Feng-Zhou Fang. Molecular dynamics study on surface formation and phase transformation in nanometric cutting of β-Sn [J]. Advances in Manufacturing, 2022, 10(3): 356-367. |
| [7] | Long-Xu Yao, Zhan-Qiang Liu, Qing-Hua Song, Bing Wang, Yu-Kui Cai. Effects of process parameters on periodic impact force exerting on cutting tool in ultrasonic vibration-assisted oblique turning [J]. Advances in Manufacturing, 2022, 10(3): 411-427. |
| [8] | Ming-Xian Xu, Liang-Shan Xiong, Bao-Yi Zhu, Ling-Feng Zheng, Kai Yin. Experimental research on the critical conditions and critical equation of chip splitting when turning a C45E4 disc workpiece symmetrically with a high-speed steel double-edged turning tool [J]. Advances in Manufacturing, 2022, 10(2): 159-174. |
| [9] | Ammar H. Elsheikh, S. Shanmugan, T. Muthuramalingam, Amrit Kumar Thakur, F. A. Essa, Ahmed Mohamed Mahmoud Ibrahim, Ahmed O. Mosleh. A comprehensive review on residual stresses in turning [J]. Advances in Manufacturing, 2022, 10(2): 287-312. |
| [10] | Omar Ahmed Mohamed, Syed Hasan Masood, Wei Xu. Nickel-titanium shape memory alloys made by selective laser melting:a review on process optimisation [J]. Advances in Manufacturing, 2022, 10(1): 24-58. |
| [11] | Jiang Guo, Bin Wang, Zeng-Xu He, Bo Pan, Dong-Xing Du, Wen Huang, Ren-Ke Kang. A novel method for workpiece deformation prediction by amending initial residual stress based on SVR-GA [J]. Advances in Manufacturing, 2021, 9(4): 483-495. |
| [12] | Omar Ahmed Mohamed, Syed Hasan Masood, Jahar Lal Bhowmik. Modeling, analysis, and optimization of dimensional accuracy of FDM-fabricated parts using defi nitive screening design and deep learning feedforward artifi cial neural network [J]. Advances in Manufacturing, 2021, 9(1): 115-129. |
| [13] | Rakesh Chaudhari, Jay J. Vora, S. S. Mani Prabu, I. A. Palani, Vivek K. Patel, D. M. Parikh. Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm [J]. Advances in Manufacturing, 2021, 9(1): 64-80. |
| [14] | Xiao-Liang Shi, Shi-Chao Xiu, Hui-Ling Su. Residual stress model of pre-stressed dry grinding considering coupling of thermal, stress, and phase transformation [J]. Advances in Manufacturing, 2019, 7(4): 401-410. |
| [15] | Ali Kalyon, Mustafa Günay, Dursun Özyürek. Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron [J]. Advances in Manufacturing, 2018, 6(4): 419-429. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
Tel: 86-21-66135510
Fax: 86-21-66132736
E-mail: aim@oa.shu.edu.cn