Duck Bong Kim
Tennessee Technological University
Decision support systemReflectivityUltimate tensile strengthManufacturing engineeringOpticsEngineeringBidirectional reflectance distribution functionArtificial intelligenceComposite materialMultispectral imageMaterials scienceWeldingInteroperabilitySystems engineeringRendering (computer graphics)High dynamic rangeHigh-dynamic-range imagingComputer visionComputer scienceProcess (engineering)Gas metal arc weldingSustainabilityMicrostructure
45Publications
11H-index
337Citations
Publications 45
Newest
#1Seung-Jun Shin (NIST: National Institute of Standards and Technology)H-Index: 16
#2Jungyub Woo (NIST: National Institute of Standards and Technology)H-Index: 6
Last. Sudarsan Rachuri (NIST: National Institute of Standards and Technology)H-Index: 20
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The ability to predict performance of manufacturing equipment during early stages of process planning is vital for improving efficiency of manufacturing processes. In the metal cutting industry, measurement of machining performance is usually carried out by collecting machine-monitoring data that record the machine tool’s actions (e.g. coordinates of axis location and power consumption). Understanding the impacts of process planning decisions is central to the enhancement of the machining perfor...
28 CitationsSource
#1Duck Bong Kim (Gwangju Institute of Science and Technology)H-Index: 11
#2In Yeop Jang (Gwangju Institute of Science and Technology)H-Index: 1
Last. Kwan H. Lee (Gwangju Institute of Science and Technology)
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A spectral-based method can acquire and rep- resent the surface appearance of a given material physi- cally correctly. But, it has drawbacks due to its high measurement cost and a long computation time in meas- uring, modeling, and rendering. In this article, we pres- ent spectral recovery and representation of spectral bidirectional reflectance distribution function (BRDF) from multispectral reflectance measurements in which we can render real appearance materials over a 3D model with accuracy ...
3 CitationsSource
#1Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
#2Peter Denno (NIST: National Institute of Standards and Technology)H-Index: 9
Last. Albert Jones (NIST: National Institute of Standards and Technology)H-Index: 20
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This article describes a model-based approach for defining and refining process parameters in dynamically changing, smart manufacturing environments. This approach uses equation-based models to predict how part quality will respond to changes in that environment. The results from these models provide the major inputs into a process-parameter-optimization technique, which is used to set the values for various process parameters. In developing these models, we integrated various concepts from proc...
8 CitationsSource
#1Shaw C. Feng (NIST: National Institute of Standards and Technology)H-Index: 22
#2Paul Witherell (NIST: National Institute of Standards and Technology)H-Index: 14
Last. Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
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Additive Manufacturing (AM) processes intertwine aspects of many different engineering-related disciplines, such as material metrology, design, in-situ and off-line measurements, and controls. Due to the increasing complexity of AM systems and processes, data cannot be shared among heterogeneous systems because of a lack of a common vocabulary and data interoperability methods. This paper aims to address insufficiencies in laser-based Powder Bed Fusion (PBF), a specific AM process, data represen...
2 CitationsSource
#1Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
#2Paul Witherell (NIST: National Institute of Standards and Technology)H-Index: 14
Last. Shaw C. Feng (NIST: National Institute of Standards and Technology)H-Index: 22
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Abstract Additive manufacturing (AM) promises great potential benefits for industrial manufacturers who require low volume and functional, highly complex, end-use products. Commercial adoption of AM has been slow due to factors such as quality control, production rates, and repeatability. However, given AM's potential, numerous research efforts are underway to improve the quality of the product realization process. A major area of opportunity is to complement existing efforts with advancements i...
52 CitationsSource
#1Duck Bong Kim (Gwangju Institute of Science and Technology)H-Index: 11
#2Kwan H. Lee (Gwangju Institute of Science and Technology)H-Index: 12
Last. Kwan H. Lee (Gwangju Institute of Science and Technology)
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An accurate characterization method for a multispectral high-dynamic-range (HDR) imaging system is proposed by combining multispectral and HDR imaging technologies. The multispectral HDR imaging system, which can acquire the visible spectrum at many wavelength bands, can provide an accurate color reproduction and physical radiance information of real objects. An HDR camera is used to capture an HDR image without multiple exposures and a liquid crystal tunable filter (LCTF) is used to generate mu...
2 CitationsSource
#1Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
#2Seung-Jun Shin (NIST: National Institute of Standards and Technology)H-Index: 16
Last. Alexander Brodsky (GMU: George Mason University)H-Index: 18
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Life cycle assessment (LCA) frameworks are widely used to assess the sustainability of manufacturing processes. Although they have several advantages such as systematic estimation and efficiency, they have significant limitations due to a lack of functionality to perform sustainability analysis. Specifically, they do not fully support dynamic and diverse characteristics of manufacturing processes nor cover technical details for the further analysis, such as simulation, prediction, and optimizati...
26 CitationsSource
#1Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
#2Guodong Shao (NIST: National Institute of Standards and Technology)H-Index: 17
Last. Ryan Consylman (MU: Millersville University of Pennsylvania)H-Index: 1
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Energy is considered as one of the important factors for manufacturers to achieve the sustainability objective. To improve energy efficiency in manufacturing, optimization techniques are essential to provide decision support. However, formulating and solving energy optimization in manufacturing is still time-consuming and difficult due to its complexity with a broad scope. In addition, it is a challenging task since it requires substantial development efforts and modeling expertise. To address t...
1 CitationsSource
Dec 9, 2012 in WSC (Winter Simulation Conference)
#1Guodong ShaoH-Index: 17
#2Frank RiddickH-Index: 14
Last. Mark Campanelli (NREL: National Renewable Energy Laboratory)H-Index: 2
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Sustainable manufacturing (SM) continues to grow in importance. However, analysis tools to assess the sustainability performance of SM processes are difficult to verify and validate. Additionally, the ability to share and reuse SM information is hampered by a lack of (1) standards to represent that information, (2) interoperability among the engineering applications that use that information, and (3) consistency across the current approaches for modeling that information. This paper focuses on a...
6 CitationsSource
#1Duck Bong Kim (NIST: National Institute of Standards and Technology)H-Index: 11
#2Swee Leong (NIST: National Institute of Standards and Technology)H-Index: 16
Last. C. S. Chen (FIU: Florida International University)H-Index: 4
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Sustainable manufacturing has become an emerging environmental, economic, societal, and technological challenge to the industry, the academia, and the government entities. Numerous research and development (R&D) efforts have been launched, and many global and domestic efforts have been initiated toward a long-term sustainable world. This paper provides an overview of R&D efforts in the measurement of manufacturing sustainability, based on an intensive literature search. It focuses on sustainabil...
5 CitationsSource