Results 101 to 110 of about 667 (180)

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm. [PDF]

Sci Rep
Bai W.
europepmc   +1 more source

Newton-Simpson-based predictor-corrector methods for milling chatter stability prediction. [PDF]

Sci Rep
Ji Y, Xu X, Yang Y, Liu R, Liu S, Yan Z.
europepmc   +1 more source

Vibration Characteristics Analysis of Boring Bar with Tunable Dynamic Vibration Absorber. [PDF]

Materials (Basel)
Guan Y, Yu G, Hu Q, Xu D, Xu J, Lushchyk P.   +5 more
europepmc   +1 more source

Prediction of modal parameters for thin-walled blade milling process considering material removal effect. [PDF]

PLoS One
Li Y, Ding F, Tian W, Wang D, Zhou J.
europepmc   +1 more source

Basic Nonlinearity of Tool Chatter Vibration

Basic Nonlinearity of Tool Chatter Vibration
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Experimental Investigation on Cutting Force and Hole Quality in Milling of Ti-6Al-4V. [PDF]

Micromachines (Basel)
Zhu L, Zhang K, Liu B, Jiang F, Wu X, Zhai L, Huang F, You W, Xu T, Zhang S, Guo R, Xue Y, Chen X.   +12 more
europepmc   +1 more source

Cutting Force-Vibration Interactions in Precise-and Micromilling Processes: A Critical Review on Prediction Methods. [PDF]

Materials (Basel)
Wojciechowski S, Suszyński M, Talar R, Černohlávek V, Štěrba J.   +4 more
europepmc   +1 more source

Modal identification of machine tool spindle units by output only operational modal analysis. [PDF]

Int J Adv Manuf Technol
Chin P, Veldhuis SC.
europepmc   +1 more source

Chatter Vibration in Cutting, Part 1

Journal of the Japan Society for Precision Engineering, 2010
openaire   +2 more sources

Determination of vibration characteristic in automatic tapping operations based on artificial neural networks. [PDF]

Sci Rep
Esim E, Demirel M.
europepmc   +1 more source