Next Article in Journal
Rapid and Inexpensive Fabrication of Multi-Depth Microfluidic Device using High-Resolution LCD Stereolithographic 3D Printing
Previous Article in Journal / Special Issue
Kinematically Coupled Force Compensation—Experimental Results and Advanced Design for the 1D-Implementation
Open AccessArticle

Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling

1
School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85281, USA
2
Faculty of Polytechnic School, Arizona State University, Mesa, AZ 85212, USA
*
Author to whom correspondence should be addressed.
J. Manuf. Mater. Process. 2019, 3(1), 25; https://doi.org/10.3390/jmmp3010025
Received: 18 February 2019 / Revised: 16 March 2019 / Accepted: 18 March 2019 / Published: 20 March 2019
(This article belongs to the Special Issue New Findings and Approaches in Machining Processes)
In this paper, the reliability of a new online cutting edge radius estimator for micro end milling is evaluated. This estimator predicts the cutting edge radius by detecting the drop in the chip production rate as the cutting edge of a micro end mill slips over the workpiece when the minimum chip thickness (MCT) becomes larger than the uncut chip thickness (UCT), thus transitioning from the shearing to the ploughing dominant regime. This study proposes a method of calibrating the cutting edge radius estimator by determining two parameters from training data: a ‘size filtering threshold’ that specifies the smallest-size chip that should be counted, and a ‘drop detection threshold’ that distinguishes the drop in the number of chips at the actual critical feedrate from the number drops at the other feedrates. This study then evaluates the accuracy of the calibrated estimator from testing data for determining the ‘critical feedrate’—the feedrate at which the MCT and UCT will be equal. It is found that the estimator is successful in determining the critical feedrate to within 1 mm/s in 84% of trials. View Full-Text
Keywords: micro end milling; minimum chip thickness; chip production rate; cutting edge radius micro end milling; minimum chip thickness; chip production rate; cutting edge radius
Show Figures

Figure 1

MDPI and ACS Style

Lee, J.-H.; Sodemann, A.A. Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling. J. Manuf. Mater. Process. 2019, 3, 25.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop