The Ti–6Al–4V is a widely used alloy in the aerospace industry. In order to improve the grindability of Ti–6Al–4V, a hybrid material removal process is proposed in this study. This process is a combination of ultrasonic assisted grinding (UAG) and electrochemical grinding (ECG), hereafter called ultrasonic assisted electrochemical grinding (UAECG). For confirming the feasibility of the proposed technique, an experimental setup was constructed and the fundamental machining characteristics of UAECG in the grinding of Ti–6Al–4V were experimentally investigated. The results obtained from the investigation can be summarized as follows: (1) the normal and tangential forces in UAECG were decreased approximately 57% and 56%, respectively, comparing with conventional grinding (CG). (2) The work-surface roughness Ra both in ECG and UAECG was negative correlation to the electrolytic voltage, UI, and the surface damage; (3) the wheel radius wear in UAECG was considerably smaller than that in ECG when UI < 10 V. The chip adhesion and the grain fracture mainly affected the working lives of the wheels in ECG and UAECG, whereas the wheel wear in CG was predominantly attributed to the grain drop out; (4) a titanium dioxide (TiO2) layer, which had a 78 nm thickness was achieved on the work surface in the condition of UI = 20 V, leading that the Vickers microhardness of work surface in ultrasonic assisted electrochemical was lower than that in CG by 15%.
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July 2018
Research-Article
Fundamental Machining Characteristics of Ultrasonic-Assisted Electrochemical Grinding of Ti–6Al–4V
Sisi Li,
Sisi Li
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan;
Department of Mechanical and
Energy Engineering,
Southern University of Science
and Technology,
Shenzhen 518055, China
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan;
Department of Mechanical and
Energy Engineering,
Southern University of Science
and Technology,
Shenzhen 518055, China
Search for other works by this author on:
Yongbo Wu,
Yongbo Wu
Department of Mechanical and
Energy Engineering,
Southern University of Science and Technology,
Shenzhen 518055, China;
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
e-mail: wuyb@sustc.edu.cn
Energy Engineering,
Southern University of Science and Technology,
Shenzhen 518055, China;
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
e-mail: wuyb@sustc.edu.cn
Search for other works by this author on:
Mitsuyoshi Nomura,
Mitsuyoshi Nomura
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Search for other works by this author on:
Tatsuya Fujii
Tatsuya Fujii
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Search for other works by this author on:
Sisi Li
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan;
Department of Mechanical and
Energy Engineering,
Southern University of Science
and Technology,
Shenzhen 518055, China
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan;
Department of Mechanical and
Energy Engineering,
Southern University of Science
and Technology,
Shenzhen 518055, China
Yongbo Wu
Department of Mechanical and
Energy Engineering,
Southern University of Science and Technology,
Shenzhen 518055, China;
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
e-mail: wuyb@sustc.edu.cn
Energy Engineering,
Southern University of Science and Technology,
Shenzhen 518055, China;
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
e-mail: wuyb@sustc.edu.cn
Mitsuyoshi Nomura
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Tatsuya Fujii
Department of Machine Intelligence and
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
Systems Engineering,
Akita Prefectural University,
Yurihonjo, Akita 015-0055, Japan
1Corresponding author.
Manuscript received March 23, 2017; final manuscript received March 27, 2018; published online May 11, 2018. Editor: Y. Lawrence Yao.
J. Manuf. Sci. Eng. Jul 2018, 140(7): 071009 (9 pages)
Published Online: May 11, 2018
Article history
Received:
March 23, 2017
Revised:
March 27, 2018
Citation
Li, S., Wu, Y., Nomura, M., and Fujii, T. (May 11, 2018). "Fundamental Machining Characteristics of Ultrasonic-Assisted Electrochemical Grinding of Ti–6Al–4V." ASME. J. Manuf. Sci. Eng. July 2018; 140(7): 071009. https://doi.org/10.1115/1.4039855
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