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Featured researches published by Takao Yoneda.


Journal of The Japan Society for Precision Engineering | 1992

Study on the Development of Grinding Systems with Learning Function.

Takao Yoneda; Yukinori Kakazu

In recent years, the form of production desired in mechanical manufacturing plants is shifting from mass production of a small number of products to small lot production of a variety of different products. Therefore, the realization of effective manufacturing systems suitable for this form of production has become an important desideratum. In this context, attention has been directed toward the solution of these requirement by using “autonomous machines”, i.e., equipment incorporating intelligent functions with a view to decentralized autonomous systems. However, in many cases, the systems so formed are ill-structured and the realization of highly complete “autonomous mechanical systems” at the very commencement of operation is difficult. That is, the machine must be a “mechanical systems with learning function”, possessing the capability of independently learning the pattern of dynamical changes in the operating environment, and updating or refining its own knowledge or operational characteristics accordingly. In the present article, an “autonomous mechanical systems with learning function”, capable of rapid and flexible event-driven or request-driven response to an instantaneously changing environment, is proposed. The basic structure of this type of machine is clarified, and, focussing the discussion upon grinding processes, the methodology of organizing grinding systems with learning function is described.


Journal of The Japan Society for Precision Engineering | 1991

Development of High-Accuracy Crankpin Grinder Using a Servo Synchro-Drive Work Spindles.

Takao Yoneda; Ikuo Suzuki

Crankpin grinding differs from ordinary cylindrical grinding processes. Because, the center of pin portion has extreme offset from the center of journal portion. So, the left and right work spindles are required to have a mechanism for clamping and driving the journals by means of eccentric chucks on both sides of the crankshaft. With such an eccentric work spindle drive system, synchronization accuracy of the work spindles has influence on the roundness, phase accuracy, and several other characteristics of the crankpin grinding accuracy. To cope with these problems, it was developed a servo synhro-drive system, which drives the work spindles independently with AC servo motor, compensating for the phase difference between the two work spindles with the NC system. This paper first discusses several factors which prevent the achievement of high-speed high-accuracy crankpin grinding when the conventional work spindles is used. Secondly, it proposes the newly developed work spindles using a servo synchro-drive system for the purpose of achieving high synchronization accuracy. Finally, it describes the grinding results obtained by crankpin grinder equipped with the newly developed work spindles.


Archive | 1994

Method and apparatus for grinding a workpiece

Hiroaki Asano; Takao Yoneda; Takayuki Hotta


Archive | 1986

Machine tool numerical controller with a trouble stop function

Takao Yoneda; Yasuji Sakakibara


Archive | 1991

Intelligent machining system

Kunihiko Unno; Yukinori Kakazu; Takao Yoneda; Moriaki Sakakura; Masashi Yamanaka; Shiho Hattori


Archive | 1989

Numerical control apparatus for machining non-circular workpieces

Ikuo Suzuki; Takao Yoneda; Toshio Tsujiuchi; Naoki Arimoto


Archive | 1991

Digital servo-control apparatus

Takao Yoneda; Tomonari Kato; Toshihiro Yonezu


Archive | 1987

Numerical controller with operation halting function for data revision

Takao Yoneda; Tadashi Yamauchi; Yasuji Sakakibara


Archive | 1992

Rule fitness determination, rule removal, and new rule generation

Yukinori Kakazu; Masaaki Minagawa; Kunihiko Unno; Takao Yoneda; Masashi Yamanaka


Journal of The Japan Society for Precision Engineering | 1992

Study on Optimization of Grinding Conditions using Neural Networks. A Method of Additional Learning.

Takao Yoneda; Masashi Yamanaka; Yukinori Kakazu

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