scholarly journals Online friction parameter estimation for machine tools

2020 ◽  
Vol 2 (1) ◽  
pp. e28
Author(s):  
Dimitrios Papageorgiou ◽  
Mogens Blanke ◽  
Hans Henrik Niemann ◽  
Jan H. Richter
Keyword(s):  
Parameter Estimation ◽  
Machine Tools ◽  
Friction Parameter

Nitrate green removal by fixed-bed columns packed with waste biomass: Modelling and friction parameter estimation

2020 ◽  
Vol 154 ◽  
pp. 250-261 ◽  
Author(s):  
Giorgio Vilardi ◽  
Roberto Bubbico ◽  
Luca Di Palma ◽  
Nicola Verdone
Keyword(s):  
Parameter Estimation ◽  
Fixed Bed ◽  
Waste Biomass ◽  
Friction Parameter

A Method for Estimating and Compensating Quasistatic Errors of Machine Tools

1993 ◽  
Vol 115 (1) ◽  
pp. 149-159 ◽  
Author(s):  
P. M. Ferreira ◽  
C. Richard Liu
Keyword(s):  
Parameter Estimation ◽  
Error Compensation ◽  
Machine Tools ◽  
Experimental Results ◽  
Compensation Scheme ◽  
Order Of Magnitude ◽  
Magnitude Improvement

Quasistatic errors are the major contributors to positioning inaccuracies of machine tools. These errors, estimated to account for 70 percent of the errors of the machine, have been observed to be as high as 70 to 120 μm for production class machining centers. In this paper, a model for these errors is developed. Further, it is shown that the parameters for this model can be estimated by the observation of a few (nine) error vectors in the machine’s workspace. These two results form the basis for a viable error compensation scheme; the model for error compensation and the parameter estimation for updating the model. Experimental results verify the validity of the approach. An order-of-magnitude improvement in the accuracy of the machine, with respect to a calibration frame, was observed.

scholarly journals A comparison of Bayesian inference and gradient-based approaches for friction parameter estimation

2020 ◽  
Author(s):  
Simon Warder ◽  
Athanasios Angeloudis ◽  
Stephan Kramer ◽  
Colin Cotter ◽  
Matthew Piggott
Keyword(s):  
Parameter Estimation ◽  
Bayesian Inference ◽  
Friction Parameter ◽  
Gradient Based

scholarly journals A split-horizon scheme for on-line friction parameter estimation

2011 ◽  
Author(s):  
Max Boegli ◽  
Tinne De Laet ◽  
Joris De Schutter ◽  
Jan Swevers
Keyword(s):  
Parameter Estimation ◽  
Friction Parameter ◽  
On Line

The Chatterbox: A Device for Hearing Chatter as Sections are Cut

1973 ◽  
Vol 31 ◽  
pp. 360-361
Author(s):  
C. W. McCutchen ◽  
Lois W. Tice
Keyword(s):  
Machine Tools ◽  
Cutting Tool ◽  
Guerilla Warfare ◽  
History Of ◽  
Chatter Marks

Ultramicrotomists live in a state of guerilla warfare with chatter. This situation is likely to be permanent. We can infer this from the history of machine tools. If set the wrong way for the particular combination of cutting tool and material, most if not all machine tools will chatter.In more than 100 years since machine tools became common, no one has evolved a practical recipe that guarantees avoiding chatter. Rather than follow some single very conservative rule to avoid chatter in all cases, machinists detect it when it happens, and change conditions until it stops. This is possible because they have no trouble telling when their cutting tool is chattering. They can see chatter marks, and they can also hear a sometimes deafening noise.

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination

Sequential accuracy in parameter estimation for population correlation coefficients.

2019 ◽  
Vol 24 (4) ◽  
pp. 492-515 ◽  
Author(s):  
Ken Kelley ◽  
Francis Bilson Darku ◽  
Bhargab Chattopadhyay
Keyword(s):  
Parameter Estimation ◽  
Correlation Coefficients ◽  
Population Correlation

Device for Starting and Stopping Machine Tools

1913 ◽  
Vol 75 (1955supp) ◽  
pp. 391-391
Keyword(s):  
Machine Tools
Sign in / Sign up

Export Citation Format

Share Document