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Kazuo Yamazaki

dblp:28/3169 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2006
0000-0003-2853-2570ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 57% Computational fabrication · 43%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › machining
sculptured surface machining
0.012004
A surface based approach to recognition of geometric features for quality freeform surface machining · Comput. Aided Des. 2004
Geometric modeling and processing
feature recognition
0.012000
Recognition of machining features and feature topologies from NC programs · Comput. Aided Des. 2000
Geometric modeling and processing › feature recognition
machining feature recognition
0.012000
Recognition of machining features and feature topologies from NC programs · Comput. Aided Des. 2000

Methods — techniques the papers use, named apart from their topics

surface-based feature recognition · 0.0NC program analysis · 0.0
YearPublicationVenuePosition
2006 Robust Contouring Control for Multi-Axis Feed Drive Systems
abstract
In machine tool control, it is known that using the contour errors which are defined as tracking error component orthogonal to desired contour curves, as feedback signals is effective for precision contouring. Since the exact feed drive dynamics must be known in the conventional contouring controller design, we propose a design of robust contouring control system in this paper. We firstly introduce a controller design by which we can assign the controller gain for reducing the contour error independent of tangential error component to the desired contour curves. A robust contouring controller is then designed based on the variable structure control. The effectiveness of the robust controller is demonstrated by experimental results.
Naoki Uchiyama, Shoji Takagi, Shigenori Sano, Kazuo Yamazaki
ETFA4
2004 A surface based approach to recognition of geometric features for quality freeform surface machining
Xingquan Zhang, Kazuo Yamazaki, Masahiko Mori
Comput. Aided Des.3
2000 Recognition of machining features and feature topologies from NC programs
Xiren Yan, Kazuo Yamazaki, Jiancheng Liu
Comput. Aided Des.2
1988 Mechatronics engineering education and dissemination program
Kazuo Yamazaki
Vis. Comput.1