scholarly journals Error motion trajectory-driven diagnostics of kinematic and non-kinematic machine tool faults

2022 ◽  
Vol 164 ◽  
pp. 108271
Author(s):  
T. Rooker ◽  
J. Stammers ◽  
K. Worden ◽  
G. Potts ◽  
K. Kerrigan ◽  
...  
1995 ◽  
Vol 117 (3) ◽  
pp. 389-399 ◽  
Author(s):  
J. Mou ◽  
C. R. Liu

An adaptive methodology for machine tool error correction is presented in this paper. The estimated errors resulting from the proposed methodology could be used to adjust the depth of cut on the finish pass or correct the probing data for on-machine inspection to improve the accuracy of workpiece. A generalized error model is derived, using rigid body kinematics, to describe the error motion between the cutting tool and workpiece. Process-intermittent gauging and state observation techniques are integrated to monitor the thermally induced errors and then to modify the error model’s coefficients as the cutting process proceeds. Analysis-of-variance (ANOVA) is used to identify the significant variables for thermal effect modeling. A multiple linear regression model is derived to identify the dynamics of the time-varying thermally induced errors. Multivariable state observers are constructed to track the thermal effect in real time and to fine tune the error model’s coefficients. Experimental results show that the time-varying machine tool errors can be estimated with desirable accuracy.


2014 ◽  
Vol 494-495 ◽  
pp. 448-451
Author(s):  
Jia Zheng Wei

The 5-DOF CNC machine tools motion error, motion space simulation and interference are analyzed. The tool machine dynamic and static interference, trajectory planning are discussed, which realizes the parts manufacturability and processing rationality.


2014 ◽  
Vol 687-691 ◽  
pp. 309-315
Author(s):  
Ping Jiang Wang ◽  
Xin Wang ◽  
Ling Lin ◽  
Yang Wu

Aimed at the goal of improving the quality and the efficiency of welding for T-type welding seam, This paper put forward a method to track the seam by using the vision sensor. Machine tool main motion trajectory is generated from the numerical model of the parts. The position of two welding torches are adjusted independently based on the machine tool main motion trajectory to ensure the welding precision. Two sets of adjusting mechanism are needed for T-type welding seam. The vision sensor measure the seam and pass the deviation signal to the CNC system. The CNC system adjust the position of the welding torch installed on the cross slide table to reach the goal of seam tracking and dual-beam laser welding for T-type welding seam. Practice shows that this system for T-type welding seam dual-beam laser welding is easy to operate and can improve the quality and the efficiency.


Author(s):  
Gregory W. Vogl ◽  
N. Jordan Jameson ◽  
Andreas Archenti ◽  
Károly Szipka ◽  
M. Alkan Donmez

2013 ◽  
Vol 579-580 ◽  
pp. 177-180
Author(s):  
Peng Qiang Fu ◽  
Yong Zhang ◽  
Fei Hu Zhang ◽  
Jing He Wang

The online test system of the vertical spindle motion error of the ultra-precision fly cutting machine tool was established. And then using the online test system established to test and analyze the state of the rotary motion of the spindle under the idling condition. The axial synchronous motion error value of the spindle under 390rpm is about 61 nm, and the asynchronous error motion is about 33nm. The radial error motion value is about 91nm, and the asynchronous error is about 35nm. Through the test, we found that the axial and radial spindle error motion accuracy under idling speed can been improved with the spindle speed increases.


2019 ◽  
Vol 133 ◽  
pp. 106252 ◽  
Author(s):  
Hongrui Cao ◽  
Bijian Li ◽  
Yamin Li ◽  
Ting Kang ◽  
Xuefeng Chen

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