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Kevin W. Lyons

Researcher at National Institute of Standards and Technology

Publications -  91
Citations -  3167

Kevin W. Lyons is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Sustainability & Integrated Computer-Aided Manufacturing. The author has an hindex of 27, co-authored 90 publications receiving 2961 citations. Previous affiliations of Kevin W. Lyons include Washington State University & University Hospital of Wales.

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Journal ArticleDOI

Virtual assembly using virtual reality techniques

TL;DR: This paper presents a research effort aimed at creating a virtual assembly design environment that combines 3D computer graphics with advanced input and output devices for design for assembly.
Journal ArticleDOI

VADE: a Virtual Assembly Design Environment

TL;DR: The overall system, the important features, and examples of using VADE are described; the benefits and limitations of virtual assembly systems are discussed; and automated assembly planning systems are compared.
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Sustainability Characterization for Additive Manufacturing.

TL;DR: A methodology for sustainability characterization of AM is proposed to serve as a resource for the community to benchmark AM processes for sustainability and help close the gaps for comparing AM performance to traditional manufacturing methods.
Proceedings ArticleDOI

A Virtual Assembly Design Environment

TL;DR: The functionality and applications of VADE are described, a discussion of the limitations of virtual assembly and a comparison with automated assembly planning systems are presented, and experiments conducted using real-world engineering models are described.
Proceedings ArticleDOI

Framework and indicators for a sustainable manufacturing mapping methodology

TL;DR: SMM takes chosen sustainability indicators into consideration and is based on VSM, Life Cycle Assessment (LCA), and Discrete Event Simulation (DES), and the main phases of SMM include goal definition, identification of the sustainability indicators, and modeling the current and future state process maps.