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Semantics-aware adaptive simplification for lightweighting diverse 3D CAD models in industrial plants

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Abstract

In industrial plants, an increasing need has emerged for visualization through three-dimensional (3D) models throughout all lifecycle stages. Lightweight modeling has garnered attention for improved visualization performance. The data size of an entire process plant model is enormous, and the final model consists of various forms of equipment and material model generated from diverse sources. We propose an adaptable method to simplify models with various semantics during the lifecycle of plants. The characteristics of plant equipment and materials are analyzed to define the semantics criteria, upon which the level of semantics (LOS) is defined. The functional requirements of model lightweighting in the plant industry are organized, and comprehensive lightweighting procedures for each stage satisfying those requirements are established. The proposed lightweighting procedures can be applied adaptively to the LOS of each model. We develop a prototype system to demonstrate the proposed method. We conducted simplification experiments for two assembly models with completely different LOS. Two models were simplified gradually and effectively by the proposed simplification procedures, and the data size of each model was reduced by 99 % and 83 %.

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Acknowledgments

This research was supported by the Plant Research Program (Project ID: 14IFIP-B091004-01) funded by the Korea government (MOLIT), by the Industrial Core Technology Development Program (Project ID: 20000725) funded by the Korea government (MOTIE), and by the Basic Science Research Program (Project ID: NRF-2019R1F1A1053542) through the National Research Foundation of Korea (NRF) funded by the Korea government (MSIT).

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Authors and Affiliations

  1. Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology, Daejoen, 34141, Korea

    Soonjo Kwon

  2. Department of Precision Mechanical Engineering, Kyungpook National University, Gyeongsangbuk-do, 37224, Korea

    Hyunoh Lee & Duhwan Mun

Authors
  1. Soonjo Kwon
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Correspondence to Duhwan Mun.

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Recommended by Editor Hyung Wook Park

Soonjo Kwon received a B.S. in Naval Architecture and Ocean Engineering from Inha University, an M.S. in Ocean Systems Engineering, and a Ph.D. in Mechanical Engineering from KAIST. He is currently working as a Guest Researcher at the National Institute of Standards and Technology in the United States. His research interests include computer-aided design, industrial data standards, and digital transformation.

Hyunoh Lee is an M.S. candidate at the Department of Precision Mechanical Engineering of Kyungpook National University. He received his B.S. in Precision Mechanical Engineering from Kyung-pook National University. His research interests include computer-aided design and industrial data standards for product data exchange.

Duhwan Mun is a Professor at the Department of Precision Mechanical Engineering of Kyungpook National University. Before that, he was a Senior Research Fellow at the Maritime & Ocean Engineering Research Institute (MOERI), a Branch of the Korea Ocean Research & Development Institute (KORDI). His research interests include computer-aided design, industrial data standards for product data exchange, product lifecycle management, knowledge-based engineering, and virtual reality for engineering applications. He received a B.S. in Mechanical Engineering from Korea University and an M.S. and Ph.D. in Mechanical Engineering from KAIST.

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Kwon, S., Lee, H. & Mun, D. Semantics-aware adaptive simplification for lightweighting diverse 3D CAD models in industrial plants. J Mech Sci Technol 34, 1289–1300 (2020). https://doi.org/10.1007/s12206-020-0228-y

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