scholarly journals Identification of machine tool squareness errors via inertial measurements

CIRP Annals ◽  
2019 ◽  
Vol 68 (1) ◽  
pp. 547-550 ◽  
Author(s):  
Károly Szipka ◽  
Andreas Archenti ◽  
Gregory W. Vogl ◽  
M. Alkan Donmez
2010 ◽  
Vol 24 (15n16) ◽  
pp. 2484-2489 ◽  
Author(s):  
SUNG-RYUNG PARK ◽  
SEUNG-HAN YANG

Control over scale, dynamic, environment, and geometric errors in 5-axis machine tool are required to realize a high precision machine tool. Especially geometric errors such as translational, rotational, offset, and squareness errors are important factors which should be considered in the design stages of the machine tool. In this paper, geometric errors are evaluated for different configurations of 5-axis machine tool, namely, 1) table tilting, 2) head tilting, and 3) universal and their error synthesis models are derived. The proposed model is different from the conventional error synthesis model since it considers offset and offset errors. The volumetric error is estimated for every configuration with random geometric errors. Finally, the best configuration, the critical design parameter and error are suggested.


2018 ◽  
Vol 18 (2) ◽  
pp. 64-74
Author(s):  
Philipp DAHLEM ◽  
Benjamin MONTAVON ◽  
Martin PETEREK ◽  
Robert H. SCHMITT

The volumetric performance of machine tools is limited by the remaining relative deviation between desired and real tool tip position. Being able to predict this deviation at any given functional point enables methods for compensation or counteraction and hence reduce errors in manufacturing and uncertainties for on-machine measurement tasks. Time-efficient identification and quanitification of different contributions to the resulting deviation play a key role in this strategy. The authors pursue the development of an optical sensor system for step diagonal measurement methods, which can be integrated into the working volume of the machine due to its compact size, enabling fast measurements of the axes’ motion error including roll, pitch and yaw and squareness errors without significantly interrupting the manufacturing process. The use of a frequency-modulating interferometer and photosensitive arrays in combination with a Gaussian laser beam allow for measurements at comparable accuracy, lower cost and smaller dimensions compared to state-of-the-art optical measuring appliances for offline machine tool calibration. For validation of the method a virtual machine setup and raytracing simulation is used which enables the investigation of systematic errors like sensor hardware misalignment.


2012 ◽  
Vol 490-495 ◽  
pp. 309-314 ◽  
Author(s):  
Fang Yu Pan ◽  
Ming Li ◽  
Jian Yin

The worldwide competition calls for higher precision machine tool, so how to improve the machining precision is a hot topic. Error identification, as the first basic step of enhancing precision ,is paid expecially attention to. In this paper, two different but important kinds of identification methods—direct identification and indirect identification are introduced, what special is that these methods are achieved just by one equipment—laser interferometer named laser Doppler displacement measurement(LDDM).Through experiments, we can gain the errors of 3-axis machine tool including 3 displacement errors, 6 straightness errors,3 squareness errors, axis spike, backlash, circularity value, cyclic error and so on. The results will benefit for later accuracy improvement.


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