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Takeo Nakagawa

Researcher at University of Tokyo

Publications -  175
Citations -  3469

Takeo Nakagawa is an academic researcher from University of Tokyo. The author has contributed to research in topics: Grinding & Abrasive. The author has an hindex of 23, co-authored 175 publications receiving 3256 citations.

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Progress in Additive Manufacturing and Rapid Prototyping

TL;DR: Rapid prototyping generally refers to techniques that produce shaped parts by gradual creation or addition of solid material, therein differing fundamentally from forming and material removal manufacturing techniques as mentioned in this paper. But it is not suitable for all applications.
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Mirror Surface Grinding of Silicon Wafers with Electrolytic In-Process Dressing

TL;DR: In this paper, the authors have studied finish grinding techniques, and succeeded in developing a new grinding technique that realises mirror quality surfaces, which uses Electrolytic In-process Dressing and micro-grain cast iron fiber bonded wheel's.
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Analysis of mirror surface generation of hard and brittle materials by ELID (electronic in-process dressing) grinding with superfine grain metallic bond wheels

Hitoshi Ohmori, +1 more
- 01 Jan 1995 - 
TL;DR: In this article, mirror surface grinding operations were conducted by using ultrafine grain metallic bond wheels with electrolytic in-process dressing (ELID) for hard and brittle materials, such as monocrystalline silicon, glass, and ceramic.
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Recent trends in sheet metals and their formability in manufacturing automotive panels

TL;DR: In this paper, the authors introduce the present status of the application of these materials to autobody parts and discuss the problems on forming these materials from the point of material characteristics and forming techniques.
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Utilization of Nonlinear Conditions in Precision Grinding with ELID (Electrolytic In-Process Dressing) for Fabrication of Hard Material Components

TL;DR: In this article, the possibility of controlling nonlinearity conditions when these three elements are combined was demonstrated, and each selected combination showed optimum performances in terms of efficiency, stability, accuracy, and grinding ratio.