Identification of mass and sliding friction parameters of machine tool feed drive using recursive least squares method-Reference-Cited by-同舟云学术

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Identification of mass and sliding friction parameters of machine tool feed drive using recursive least squares method

Published:2020-08 Issue:9-12 Volume:109 Page:2831-2844
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Lee Chan-Young,Hwang Soon-Hong,Nam Eunseok,Min Byung-Kwon

Funder

Ministry of Trade, Industry and Energy

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-020-05858-x.pdf

Reference22 articles.

1. Lee W, Lee CY, Min BK (2014) Simulation-based energy usage profiling of machine tool at the component level. Int J Precis Eng Manuf-Green Tech 1(3):183–189

2. Lee W, Kim SH, Park J, Min BK (2017) Simulation-based machining condition optimization for machine tool energy consumption reduction. J Clean Prod 150:352–360

3. Altintas Y, Tulsyan S (2015) Prediction of part machining cycle times via virtual CNC. CIRP Ann-Manuf Techn 64(1):361–364

4. Altintas Y, Kersting P, Biermann D, Budak E, Denkena B, Lazoglu I (2014) Virtual process systems for part machining operations. CIRP Ann-Manuf Techn 63(2):585–605

5. Frey S, Dadalau A, Verl A (2012) Expedient modeling of ball screw feed drives. Prod Eng Res Devel 6(2):205–211

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