Feed cutting force estimation from the current measurement with hybrid learning

X. Li; P. K. Venuvinod; M. K. Chen

doi:10.1007/s001700070002

Feed cutting force estimation from the current measurement with hybrid learning

X. Li
, P. K. Venuvinod
, M. K. Chen

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

43 Citations (Scopus)

Abstract

It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect a feed drive system are analyzed in detail, and a model of the feed drive system for estimating feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5%.
© 2000 Springer-Verlag London Limited

Original language	English
Pages (from-to)	859-862
Journal	International Journal of Advanced Manufacturing Technology
Volume	16
Issue number	12
DOIs	https://doi.org/10.1007/s001700070002
Publication status	Published - 2000

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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SDG 9 Industry, Innovation, and Infrastructure

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title = "Feed cutting force estimation from the current measurement with hybrid learning",

abstract = "It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect a feed drive system are analyzed in detail, and a model of the feed drive system for estimating feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5\%. {\textcopyright} 2000 Springer-Verlag London Limited",

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doi = "10.1007/s001700070002",

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T1 - Feed cutting force estimation from the current measurement with hybrid learning

AU - Li, X.

AU - Venuvinod, P. K.

AU - Chen, M. K.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2000

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N2 - It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect a feed drive system are analyzed in detail, and a model of the feed drive system for estimating feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5%. © 2000 Springer-Verlag London Limited

AB - It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect a feed drive system are analyzed in detail, and a model of the feed drive system for estimating feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5%. © 2000 Springer-Verlag London Limited

UR - https://www.scopus.com/pages/publications/0033661251

UR - https://www.scopus.com/pages/publications/0033661251#tab=impact

U2 - 10.1007/s001700070002

DO - 10.1007/s001700070002

M3 - RGC 21 - Publication in refereed journal

SN - 0268-3768

VL - 16

SP - 859

EP - 862

JO - International Journal of Advanced Manufacturing Technology

JF - International Journal of Advanced Manufacturing Technology

IS - 12

ER -

Feed cutting force estimation from the current measurement with hybrid learning

Abstract

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