DYNAMIC ANALYSIS OF MILLING MACHINE BY TORQUE SIGNALS.

A. R.N. Shuaib; E. Garcia-Gardea; S. M. Wu

doi:10.1115/1.3184482

DYNAMIC ANALYSIS OF MILLING MACHINE BY TORQUE SIGNALS.

A. R.N. Shuaib^*, E. Garcia-Gardea, S. M. Wu

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Cutting torque signals of a vertical milling machine are used for the analysis and identification of the machine tool system. The force signals are represented by stochastic differential equations obtained by the dynamic data system (DDS) modeling technique. The parameters of the models are used to identify the dynamic modes of the machine tool system. Changes in the dynamic behavior of the machine tool system with cutting conditions have been observed from the dynamic characteristics of the constituent dynamic modes. Stability of the system has been investigated using the most compliant machine tool system mode characteristics. This suggests an alternative technique for obtaining the stability limits of the system instead of the conventional lengthy chatter tests.

Original language	English
Pages (from-to)	235-240
Number of pages	6
Journal	Journal of engineering for industry
Volume	103
Issue number	2
DOIs	https://doi.org/10.1115/1.3184482
State	Published - 1981

ASJC Scopus subject areas

General Engineering

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title = "DYNAMIC ANALYSIS OF MILLING MACHINE BY TORQUE SIGNALS.",

abstract = "Cutting torque signals of a vertical milling machine are used for the analysis and identification of the machine tool system. The force signals are represented by stochastic differential equations obtained by the dynamic data system (DDS) modeling technique. The parameters of the models are used to identify the dynamic modes of the machine tool system. Changes in the dynamic behavior of the machine tool system with cutting conditions have been observed from the dynamic characteristics of the constituent dynamic modes. Stability of the system has been investigated using the most compliant machine tool system mode characteristics. This suggests an alternative technique for obtaining the stability limits of the system instead of the conventional lengthy chatter tests.",

author = "Shuaib, \{A. R.N.\} and E. Garcia-Gardea and Wu, \{S. M.\}",

year = "1981",

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language = "English",

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AU - Shuaib, A. R.N.

AU - Garcia-Gardea, E.

AU - Wu, S. M.

PY - 1981

Y1 - 1981

N2 - Cutting torque signals of a vertical milling machine are used for the analysis and identification of the machine tool system. The force signals are represented by stochastic differential equations obtained by the dynamic data system (DDS) modeling technique. The parameters of the models are used to identify the dynamic modes of the machine tool system. Changes in the dynamic behavior of the machine tool system with cutting conditions have been observed from the dynamic characteristics of the constituent dynamic modes. Stability of the system has been investigated using the most compliant machine tool system mode characteristics. This suggests an alternative technique for obtaining the stability limits of the system instead of the conventional lengthy chatter tests.

AB - Cutting torque signals of a vertical milling machine are used for the analysis and identification of the machine tool system. The force signals are represented by stochastic differential equations obtained by the dynamic data system (DDS) modeling technique. The parameters of the models are used to identify the dynamic modes of the machine tool system. Changes in the dynamic behavior of the machine tool system with cutting conditions have been observed from the dynamic characteristics of the constituent dynamic modes. Stability of the system has been investigated using the most compliant machine tool system mode characteristics. This suggests an alternative technique for obtaining the stability limits of the system instead of the conventional lengthy chatter tests.

UR - https://www.scopus.com/pages/publications/0019563910

U2 - 10.1115/1.3184482

DO - 10.1115/1.3184482

M3 - Article

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JO - Journal of engineering for industry

JF - Journal of engineering for industry

IS - 2

ER -

DYNAMIC ANALYSIS OF MILLING MACHINE BY TORQUE SIGNALS.

Abstract

ASJC Scopus subject areas

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