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Kwan S. Kwok

dblp:33/3482 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-author

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
Computational fabrication · 100%
Artificial intelligence
2 papers
3D vision · 100%

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

TopicWeightPapersLastEvidence papers
Computational fabrication
machining		 0.021998
Rapid 3-D Digitizing and Tool Path Generahon for Complex Shapes · ICRA 1998
Automatic tool path generation for finish machining · ICRA 1997
Computational fabrication
tool path generation		 0.021998
Rapid 3-D Digitizing and Tool Path Generahon for Complex Shapes · ICRA 1998
Automatic tool path generation for finish machining · ICRA 1997
Computer vision › 3D vision › range sensing
3d scanning		 0.021998
Rapid 3-D Digitizing and Tool Path Generahon for Complex Shapes · ICRA 1998
Automatic tool path generation for finish machining · ICRA 1997
Computer vision › 3D vision › range sensing › 3d scanning
structured light scanning		 0.021998
Rapid 3-D Digitizing and Tool Path Generahon for Complex Shapes · ICRA 1998
Automatic tool path generation for finish machining · ICRA 1997

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

structured-light sensor · 0.1fuzzified digital filter · 0.1adaptive scanning algorithm · 0.1
YearPublicationVenuePosition
1998 Rapid 3-D Digitizing and Tool Path Generahon for Complex Shapes
abstract
A system for automatic tool path generation was developed at Sandia National Laboratories for finish machining operations. The system consists of a commercially available 5-axis milling machine controlled by Sandia developed software. This system was used to remove overspray on cast turbine blades. A laser-based, structured-light sensor, mounted on a tool holder, is used to collect 3D data points around the surface of the turbine blade. Using the digitized model of the blade, a tool path is generated which will drive a 0.375" CBN grinding pin around the tip of the blade. A fuzzified digital filter was developed to properly eliminate false sensor readings caused by burrs, holes and overspray. The digital filter was found to successfully generate the correct tool path for a blade with intentionally scanned holes and defects. The fuzzified filter improved the computation efficiency by a factor of 25. For application to general parts, an adaptive scanning algorithm was developed and presented with simulation and experimental results. A right pyramid and an ellipsoid were scanned successfully with the adaptive algorithm in simulation studies. In actual experiments, a nose cone and a turbine blade were successfully scanned. A complex shaped turbine blade was successfully scanned and finish machined using these algorithms.
Kwan S. Kwok, Clifford S. Loucks, Brian J. Driessen
 ICRA1
1997 Automatic tool path generation for finish machining
abstract
A system for automatic tool path generation was developed at Sandia National Laboratories for finish machining operations. The system consists of a commercially available 5-axis milling machine controlled by Sandia developed software. This system was used to remove overspray on cast turbine blades. A laser-based, structured-light sensor, mounted on a tool holder, is used to collect 3D data points around the surface of the turbine blade. Using the digitized model of the blade, a tool path is generated which will drive a 0.375" CBN grinding pin around the tip of the blade. A fuzzified digital filter was developed to properly eliminate false sensor readings caused by burrs, holes and overspray. The digital filter was found to successfully generate the correct tool path for a blade with intentionally scanned holes and defects. The fuzzified filter improved the computation efficiency by a factor of 25. For application to general parts, an adaptive scanning algorithm was developed and presented with simulation results. A right pyramid and an ellipsoid were scanned successfully with the adaptive algorithm.
Kwan S. Kwok, Clifford S. Loucks, Brian J. Driessen
 ICRA1