Soichi Ibaraki, Ph.D.

Affiliations: 
2000 University of California, Berkeley, Berkeley, CA, United States 
Area:
Mechanical Engineering
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"Soichi Ibaraki"

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Masayoshi Tomizuka grad student 2000 UC Berkeley
 (Nonconvex optimization problems in H-infinity optimization and their applications.)
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Publications

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Ibaraki S, Okumura R. (2020) Machining Tests to Evaluate Machine Tool Thermal Displacement in Z-Direction: Proposal to ISO 10791-10 International Journal of Automation Technology. 14: 380-385
Ibaraki S, Archenti A. (2020) Special Issue on Machine Accuracy Evaluation International Journal of Automation Technology. 14: 359-359
Ibaraki S, Hiruya M. (2020) A novel scheme to measure 2D error motions of linear axes by regulating the direction of a laser interferometer Precision Engineering-Journal of the International Societies For Precision Engineering and Nanotechnology
Ibaraki S, Hiruya M. (2020) Assessment of non-rigid body, direction- andvelocity-dependent error motions and their cross-talk by two-dimensional digital scale measurements at multiple positions Precision Engineering-Journal of the International Societies For Precision Engineering and Nanotechnology. 66: 144-153
Zimmermann N, Ibaraki S. (2020) Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle The International Journal of Advanced Manufacturing Technology. 107: 2107-2120
Ihara Y, Tsutsumi M, Eguchi T, et al. (2019) Measurement of Volumetric Accuracy of 5-Axis Machine Tool and Investigation Compensation Technology Journal of the Japan Society For Precision Engineering. 85: 809-812
Ibaraki S, Inui H, Hong C, et al. (2019) On-machine identification of rotary axis location errors under thermal influence by spindle rotation Precision Engineering-Journal of the International Societies For Precision Engineering and Nanotechnology. 55: 42-47
Ibaraki S, Yoshida I, Asano T. (2019) A machining test to identify rotary axis geometric errors on a five-axis machine tool with a swiveling rotary table for turning operations Precision Engineering-Journal of the International Societies For Precision Engineering and Nanotechnology. 55: 22-32
Fujishima M, Narimatsu K, Irino N, et al. (2019) Adaptive thermal displacement compensation method based on deep learning Cirp Journal of Manufacturing Science and Technology. 25: 22-25
Ibaraki S, Yuasa K, Saito N, et al. (2018) A Framework for a Large-Scale Machine Tool With Long Coarse Linear Axes Under Closed-Loop Volumetric Error Compensation Ieee-Asme Transactions On Mechatronics. 23: 823-832
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