A coupled dynamics, multiple degree of freedom process damping model, Part 1: Turning

Christopher T. Tyler; John R. Troutman; Tony L. Schmitz

doi:10.1016/j.precisioneng.2016.03.017

A coupled dynamics, multiple degree of freedom process damping model, Part 1: Turning

Christopher T. Tyler, John R. Troutman, Tony L. Schmitz

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

18 Scopus citations

Abstract

Self-excited vibration, or chatter, is an important consideration in machining operations due to its direct influence on part quality, tool life, and machining cost. At low machining speeds, a phenomenon referred to as process damping enables stable cutting at higher depths of cut than predicted with traditional analytical models. This paper describes an analytical stability model which includes a process damping force that is dependent on the surface normal velocity, chip width, cutting speed, and an empirical process damping coefficient. Model validation is completed using time domain simulation and turning experiments. The results indicate that the multiple degree of freedom model is able to predict the stability boundary using a single process damping coefficient.

Original language	English
Pages (from-to)	65-72
Number of pages	8
Journal	Precision Engineering
Volume	46
DOIs	https://doi.org/10.1016/j.precisioneng.2016.03.017
State	Published - Oct 1 2016
Externally published	Yes

Funding

The authors gratefully acknowledge partial financial support from the University of North Carolina at Charlotte Center for Precision Metrology Affiliates Program.

Funders	Funder number
University of North Carolina at Charlotte

Keywords

Chatter
Machining
Process damping
Simulation
Stability

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10.1016/j.precisioneng.2016.03.017

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title = "A coupled dynamics, multiple degree of freedom process damping model, Part 1: Turning",

abstract = "Self-excited vibration, or chatter, is an important consideration in machining operations due to its direct influence on part quality, tool life, and machining cost. At low machining speeds, a phenomenon referred to as process damping enables stable cutting at higher depths of cut than predicted with traditional analytical models. This paper describes an analytical stability model which includes a process damping force that is dependent on the surface normal velocity, chip width, cutting speed, and an empirical process damping coefficient. Model validation is completed using time domain simulation and turning experiments. The results indicate that the multiple degree of freedom model is able to predict the stability boundary using a single process damping coefficient.",

keywords = "Chatter, Machining, Process damping, Simulation, Stability",

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AU - Tyler, Christopher T.

AU - Troutman, John R.

AU - Schmitz, Tony L.

PY - 2016/10/1

Y1 - 2016/10/1

N2 - Self-excited vibration, or chatter, is an important consideration in machining operations due to its direct influence on part quality, tool life, and machining cost. At low machining speeds, a phenomenon referred to as process damping enables stable cutting at higher depths of cut than predicted with traditional analytical models. This paper describes an analytical stability model which includes a process damping force that is dependent on the surface normal velocity, chip width, cutting speed, and an empirical process damping coefficient. Model validation is completed using time domain simulation and turning experiments. The results indicate that the multiple degree of freedom model is able to predict the stability boundary using a single process damping coefficient.

AB - Self-excited vibration, or chatter, is an important consideration in machining operations due to its direct influence on part quality, tool life, and machining cost. At low machining speeds, a phenomenon referred to as process damping enables stable cutting at higher depths of cut than predicted with traditional analytical models. This paper describes an analytical stability model which includes a process damping force that is dependent on the surface normal velocity, chip width, cutting speed, and an empirical process damping coefficient. Model validation is completed using time domain simulation and turning experiments. The results indicate that the multiple degree of freedom model is able to predict the stability boundary using a single process damping coefficient.

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KW - Simulation

KW - Stability

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ER -

A coupled dynamics, multiple degree of freedom process damping model, Part 1: Turning

Abstract

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Keywords

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