2026-09-20T03:59:47Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83958 2023-07-11 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Tsao, Tsu-Chin McNab, Robert John 2015-09-25T21:12:54Z 2015-09-25T21:12:54Z 10000-01-01 1997 1997 The use of linear motor direct drives as feed drives enables higher feed rates and accelerations, eliminates problems with backlash, and reduces power waste due to friction. Servo controller design of those feed drives becomes more challenging due to dynamic interaction between the servo control and cutting process. A simplified end milling cutting process model is used in a structured singular value based uncertainty analysis to predict the cutting conditions for which the machining process will remain stable. Experimental results from machining aluminum on a linear motor X-Y table validate this approach. Made available in DSpace on 2015-09-25T21:12:54Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9812699.pdf: 3610722 bytes, checksum: 627691ce92b17155823c1856dd398eff (MD5) Previous issue date: 1997 Embargo set by: Seth Robbins for item 85239 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 106 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997. http://hdl.handle.net/2142/83958 (MiAaPQ)AAI9812699 eng Engineering, Mechanical Digital Tracking Control for Machine Tool Feed Drives text Mechanical Engineering Mechanical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.