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Technical Brief

Shielding Nozzle Design and Analysis for Atomization-Based Cutting Fluid Systems in Micromachining

[+] Author and Article Information
Andressa Lunardelli

School of Engineering,
University of St. Thomas,
OSS 100,
2115 Summit Ave.,
St. Paul, MN 55105-1079
e-mail: luna7991@stthomas.edu

John E. Wentz

School of Engineering,
University of St. Thomas,
OSS 100,
2115 Summit Ave.,
St. Paul, MN 55105-1079
e-mail: went2252@stthomas.edu

John P. Abraham

School of Engineering,
University of St. Thomas,
OSS 100,
2115 Summit Ave.,
St. Paul, MN 55105-1079
e-mail: jpabraham@stthomas.edu

Brian D. Plourde

School of Engineering,
University of St. Thomas,
OSS 100,
2115 Summit Ave.,
St. Paul, MN 55105-1079
e-mail: bdplourde@stthomas.edu

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO- AND NANO-MANUFACTURING. Manuscript received April 15, 2014; final manuscript received January 6, 2015; published online February 18, 2015. Assoc. Editor: Stefan Dimov.

J. Micro Nano-Manuf 3(2), 024501 (Jun 01, 2015) (5 pages) Paper No: JMNM-14-1031; doi: 10.1115/1.4029609 History: Received April 15, 2014; Revised January 06, 2015; Online February 18, 2015

Atomization-based cutting fluid systems (ACFs) are increasingly being used in micromachining applications to provide cooling and lubrication to the tool–chip interface. In this research, a shielding nozzle design is presented. A computational fluid dynamic model is developed to perform parameter analysis of the design. The numerical simulations were accomplished using the Eulerian approach to the continuous phase and a Lagrangian approach for droplet tracking. Based on the results of the simulations it is determined that the shielding nozzle is effective at providing droplets to the cutting surface at an appropriate speed and size to create a lubricating microfilm.

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References

Figures

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Fig. 1

Shielding nozzle section view

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Fig. 2

(Top) Simulation 2. (Bottom) Simulation 1. Maintaining the same conditions (v = 15 m/s and dout = 2 mm) and only varying the angle, θ, the tool positioning point shifts downstream.

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Fig. 3

Droplet impact region at the preferred tool position showed by the average droplet volume fraction of simulation 1 (dout = 2 mm) and simulation 5 (dout = 6 mm) with v = 15 m/s and θ = 20 deg

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Fig. 4

Comparison of velocity profile of simulation 5 and simulation 7 at the preferred tool placement with initial velocities of 15 m/s and 30 m/s, respectively, with a constant dout = 6 mm and θ = 20 deg

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