Author:
Cai Lihong,Hu Dong,Zhang Chengming,Yu Song,Xie Jufang
Publisher
Springer Science and Business Media LLC
Reference25 articles.
1. Lins, R.G., et al.: In-process tool wear measurement system based on image analysis for CNC drilling machines. IEEE Trans. Instrum. Meas. 69(8), 5579–5588 (2020)
2. Rawat, S.; Attia, H.: Wear mechanisms and tool life management of WC–Co drills during dry high speed drilling of woven carbon fibre composites. Wear 267(5–8), 1022–1030 (2009)
3. Pimenov, D.Y., et al.: Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear. Precis. Eng. 54, 327–337 (2018)
4. Groche, P.; Wu, Y.: Inline observation of tool wear in deep drawing with thermoelectric and optical measurements. CIRP Ann. 68(1), 567–570 (2019)
5. Uekita, M.; Takaya, Y.: Tool condition monitoring for form milling of large parts by combining spindle motor current and acoustic emission signals. Int. J. Adv. Manuf. Technol. 89(1–4), 65–75 (2016)
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