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Hari Srinivasan

dblp:86/2108 · 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 · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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
1 paper
Computational fabrication · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
assembly
0.011998
A geometric algorithm for single selective disassembly using the wave propagation abstraction · Comput. Aided Des. 1998
Computational fabrication
disassembly sequences
0.011998
A geometric algorithm for single selective disassembly using the wave propagation abstraction · Comput. Aided Des. 1998
YearPublicationVenuePosition
1998 Complexity Reduction in Geometric Selective Disassembly using the Wave Propagation Abstraction
abstract
Disassembling a subset of components from an assembly, defined as selective disassembly, often occurs during product de-manufacturing (recycling, reuse and maintenance). Selective disassembly analysis of a product enables quick assessment of the design for de-manufacturing. This paper presents an approach to solve the following selective disassembly problem: given an assembly of n components and s (
Hari Srinivasan, Rajit Gadh
ICRA1
1998 A geometric algorithm for single selective disassembly using the wave propagation abstraction
abstract
Disassembling a selected component from an assembly, defined as selective disassembly, is important for applications such as maintenance, recycling and reuse. This paper presents a geometric algorithm to solve the following selective disassembly problem: given an assembly and a selected component to be disassembled, determine the disassembly sequence with minimum component removals (motions), defined as an optimum sequence. We propose an abstraction “wave propagation” that analyzes the assembly from the selected component outwards, and orders the components for selective disassembly. The main contributions of this research are: (1) determining an optimal disassembly sequence; (2) reducing the search space by analyzing a subset of components in the assembly; and (3) providing a polynomial average complexity algorithm. The proposed selective disassembly approach applies to both two dimensional and three-dimensional assemblies.
Hari Srinivasan, Rajit Gadh
Comput. Aided Des.1