Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment

Hiroshi Seki; Mitsutaka Imamura; Hiroshi Nagase

doi:doi:10.11648/j.ns.20200503.12

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Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment

Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase

Published in Nuclear Science (Volume 5, Issue 3)

Received: 1 October 2020 Accepted: 22 October 2020 Published: 30 October 2020

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Abstract

Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.

Published in	Nuclear Science (Volume 5, Issue 3)
DOI	10.11648/j.ns.20200503.12
Page(s)	36-43
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Decommissioning, 3D-CAD, Dose-Rate Visualization, Waste-Quantity Estimation, Virtual Cutting Plane

References

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[5]	Rindahl, G. and Mark, K. (2008). Innovative and adaptive technologies in decommissioning of nuclear facilities; VRDose and emerging 3D software solutions to support decommissioning activities, IAEA-TECDOC- 1602 147-158.
[6]	Szőke, I., Louka, M., Bryntesen, T., Bratteli, J., Edvardsen, S., RøEitrheim, K. and Bodor, K. (2014). Real-time 3D radiation risk assessment supporting simulation of work in nuclear environments, Journal of Radiological Protection 34 (2): 389–416.
[7]	Szőke, I., Louka, M., Bryntesen, T., Edvardsen, S. and Bratteli, J. (2015). Comprehensive support for nuclear decommissioning based on 3D simulation and advanced user interface technologies, Journal of Nuclear Science and Technology, 52 (3): 371–387.
[8]	Ohga, Y., Fukuda, M., Shibata, K., Kawakami, T. and Matsuzaki, T. (2005). A system for the calculation of radiation field for maintenance support in nuclear power plants Radiation Protection Dosimetry, 116 (1-4): 592-596.
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[13]	Seki, H., Imamura, M., Kitahara, T., Enomoto, A. (2017). Estimation of decommissioning quantity based on 3D intelligent model, Proceedings of the 45th Annual Waste Management Conference International Conference (WM2017) 17075.
[14]	Ishigure, K. (2003). Decommissioning strategies and programme developments of Japan Proceedings of the SFEN Conference. Decommissioning challenges: An Industrial Reality? https://inis.iaea.org/search/searchsinglerecord.aspx?recordsFor=SingleRecord&RN=35089854.
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APA Style

Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase. (2020). Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nuclear Science, 5(3), 36-43. https://doi.org/10.11648/j.ns.20200503.12

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ACS Style

Hiroshi Seki; Mitsutaka Imamura; Hiroshi Nagase. Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nucl. Sci. 2020, 5(3), 36-43. doi: 10.11648/j.ns.20200503.12

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AMA Style

Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase. Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nucl Sci. 2020;5(3):36-43. doi: 10.11648/j.ns.20200503.12

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@article{10.11648/j.ns.20200503.12,
  author = {Hiroshi Seki and Mitsutaka Imamura and Hiroshi Nagase},
  title = {Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment},
  journal = {Nuclear Science},
  volume = {5},
  number = {3},
  pages = {36-43},
  doi = {10.11648/j.ns.20200503.12},
  url = {https://doi.org/10.11648/j.ns.20200503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ns.20200503.12},
  abstract = {Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.},
 year = {2020}
}

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TY  - JOUR
T1  - Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment
AU  - Hiroshi Seki
AU  - Mitsutaka Imamura
AU  - Hiroshi Nagase
Y1  - 2020/10/30
PY  - 2020
N1  - https://doi.org/10.11648/j.ns.20200503.12
DO  - 10.11648/j.ns.20200503.12
T2  - Nuclear Science
JF  - Nuclear Science
JO  - Nuclear Science
SP  - 36
EP  - 43
PB  - Science Publishing Group
SN  - 2640-4346
UR  - https://doi.org/10.11648/j.ns.20200503.12
AB  - Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.
VL  - 5
IS  - 3
ER  -

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Author Information

Hiroshi Seki

Research & Development Group, Hitachi, Ltd., Hitachi-shi, Japan
Mitsutaka Imamura

Nuclear Engineering and Product Division, Hitachi-GE Nuclear Energy, Ltd., Hitachi-shi, Japan
Hiroshi Nagase

Nuclear Engineering and Product Division, Hitachi-GE Nuclear Energy, Ltd., Hitachi-shi, Japan

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Plain Text BibTeX RIS

APA Style

Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase. (2020). Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nuclear Science, 5(3), 36-43. https://doi.org/10.11648/j.ns.20200503.12

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ACS Style

Hiroshi Seki; Mitsutaka Imamura; Hiroshi Nagase. Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nucl. Sci. 2020, 5(3), 36-43. doi: 10.11648/j.ns.20200503.12

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AMA Style

Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase. Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment. Nucl Sci. 2020;5(3):36-43. doi: 10.11648/j.ns.20200503.12

Copy | Download

@article{10.11648/j.ns.20200503.12,
  author = {Hiroshi Seki and Mitsutaka Imamura and Hiroshi Nagase},
  title = {Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment},
  journal = {Nuclear Science},
  volume = {5},
  number = {3},
  pages = {36-43},
  doi = {10.11648/j.ns.20200503.12},
  url = {https://doi.org/10.11648/j.ns.20200503.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ns.20200503.12},
  abstract = {Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment
AU  - Hiroshi Seki
AU  - Mitsutaka Imamura
AU  - Hiroshi Nagase
Y1  - 2020/10/30
PY  - 2020
N1  - https://doi.org/10.11648/j.ns.20200503.12
DO  - 10.11648/j.ns.20200503.12
T2  - Nuclear Science
JF  - Nuclear Science
JO  - Nuclear Science
SP  - 36
EP  - 43
PB  - Science Publishing Group
SN  - 2640-4346
UR  - https://doi.org/10.11648/j.ns.20200503.12
AB  - Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.
VL  - 5
IS  - 3
ER  -

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