Papers

2017

Instantaneous rigid force model based on oblique cutting to predict milling force

Transactions of the JSME (in Japanese)
  • KANEKO Kazuki
  • ,
  • NISHIDA Isamu
  • ,
  • SATO Ryuta
  • ,
  • SHIRASE Keiichi

Volume
83
Number
856
First page
17
Last page
00247-17-00247
Language
Japanese
Publishing type
DOI
10.1299/transjsme.17-00247
Publisher
The Japan Society of Mechanical Engineers

<p>In end milling, in order to improve machining efficiency and accuracy, instantaneous rigid force model is widely used to predict cutting force and improve cutting conditions. The instantaneous rigid force model is well known as the practically simple model to predict cutting force. However this model requires the six parameters called cutting coefficients which have to be determined by the experimental milling operation. So several experimental milling operations are needed before cutting force prediction. In this study, a new instantaneous rigid force model based on oblique cutting is proposed. In this force model, the end milling process is modeled using the oblique cutting model. Therefore, cutting force prediction can be realized using only the one parameter such as shear angle instead of the six parameters such as cutting coefficients required for a conventional instantaneous rigid force model. The shear angle can be determined from tangential milling force or milling torque. And this force model is easier to apply for practical cutting force prediction, because time and effort to determine the parameter(s) before cutting force prediction. The validation of this force model compared with the conventional force model is performed. As the result, cutting forces predicted by the proposed force model has good agreement with the measured cutting forces. Also, the proposed force model has good performance in a wide range of cutting conditions compared with the conventional force model.</p>

Link information
DOI
https://doi.org/10.1299/transjsme.17-00247
CiNii Articles
http://ci.nii.ac.jp/naid/130006282124
ID information
  • DOI : 10.1299/transjsme.17-00247
  • CiNii Articles ID : 130006282124

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