Establishment of the framework to visualize the space dose rates on the dismantling simulation system based on a digital manufacturing platform

Lee, Jong‐Hwan; Kim, Geun-Ho; Kim, Ikjune; Hyun, Dae Sung; Jeong, Kwan-Seong; Choi, Byung-Soon; Moon, Jei‐Kwon

doi:10.1016/j.anucene.2016.05.013

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…Technological transformations have radically changed the business model for majority of the companies (Ślusarczyk, 2018). Apart from investments towards physical technological changes, potentials of circular economy due to environmental impacts for several alterations into human assets of the companies (Lee et al , 2016). The biggest challenge for the companies is to overcome the lack of digital culture and training (Ślusarczyk, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Amidst all mentioned benefits, companies are required to overcome several challenges in order to fully adopt digital manufacturing and derive the associated benefits (Isaksson et al , 2018). The transformation of traditional infrastructure to an adequately designed digital platforms is a major challenge for most companies (Lee et al , 2016). This is because managing of voluminous data is not possible without data analytics technologies (Rajput and Singh, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Digital manufacturing involves the exchange of big data, which makes it even more crucial for the companies to initiate cyber protection measures (Secundo et al , 2017) of the high prevalence of cybercrime threatens companies' intellectual property and competitive advantage (Ślusarczyk, 2018). Rajput and Singh (2019) stated that when implementing digital manufacturing, it becomes essentially crucial for the companies to safeguard the confidentiality, integrity and availability of high volume of digital manufacturing data (Lee et al , 2016) by making arrangements with cyber security companies.…”

Section: Literature Reviewmentioning

confidence: 99%

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Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

Bag

Sahu

Kilbourn

et al. 2021

IJPPM

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PurposeCircular economy denotes future sustainability that allows optimum utilization of resources. In the present era of technology, plenty of innovations are happening across the world, and digital manufacturing is one of such innovations. However, there are several barriers which are impeding adoption of digital manufacturing in circular economy environment. The study explores the barriers of digital manufacturing initiatives in a circular economy and develops a methodological model to prioritize the identified challenges for automotive parts manufacturing industry.Design/methodology/approachSeven categories of challenges namely process, human resources, financial, collaboration, technological, security and leadership challenges were identified from literature and further validated with subsequent discussions with experts from the industry. The study is conducted in two phases, where in the first phase, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique is used to define the priority and importance of seven categories of challenges. In second phase, the barriers are ranked using a Fuzzy Performance Important Index (FPII), taking into account contextual factors associated with the challenges and linked barriers, to determine the extent to which they impede the adoption of digital manufacturing in the sample automotive parts manufacturing company.FindingsThe “risk of data security and information privacy in connection with use of external data and protecting customer data” appeared as the most significant barrier to digital manufacturing in circular economy. Furthermore, technological challenges emerged as the most significant category of challenges followed by financial challenges in adoption of digital manufacturing in circular economy.Practical implicationsIdentification of the identified barriers and understanding the interrelationships will lead to easier adoption of digital manufacturing in circular economy.Originality/valueDespite all the potential benefits of implementing Industry 4.0 technologies in manufacturing industries, the adoption thereof is still in nascent phase with significant challenges yet to be overcome to accelerate the pace of adoption. Hence, this study explores the barriers preventing companies from adopting and benefiting from digital manufacturing initiatives and develops a methodological model.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

Bag

Sahu

Kilbourn

et al. 2021

IJPPM

View full text Add to dashboard Cite

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“…Dose-rate distributions can be calculated with high accuracy based on the geometry of the facility, materials, and radioactive sources [4]. Moreover, computer simulations of the processes of cutting equipment and waste generation have been developed [5,6]. In particular, the amount of waste generated can be predicted accurately on a volumetric basis by using 3D CAD models [7,8].…”

Section: Introductionmentioning

confidence: 99%

Real-time Simulation Methods for Robots with a Flexible Arm Based on Computer Graphics Technology

Seki¹,

Ueno²,

Hirano³

2021

IJMEA

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A robot with a flexible arm that is controlled with a remotely operated water-pressure mechanism has been developed for dismantling objects that are heavily contaminated by radioactive materials during decommissioning of nuclear power plants. The objective of this research is to develop a process planning support system and method that can improve the accuracy of estimating the time required by the robot to complete its dismantling activity, support recovery from delays, and determine the feasibility of conducting a dismantling process in the reactor building. Since the flexible arm has a more complex mechanism and shapes those that of multi-axis robots, unique movable arm structures were modeled with a tool for three-dimensional (3D) computer graphics (CG) technology. The 3D CG model was used to make valid operation sequences for planning the motion of the robot. With the help of a prototype system, motion planning can perform to calculate the duration needed for the robot to complete its operation. The calculated duration is then used for updating the planned duration of a specific activity in a dismantling schedule. To plan the robot behaviors for complex dismantling processes, a simplified planning method with few virtual controllers based on a spline inverse kinematics (IK) with a non-uniform rational B-spline (NURBS) curve for an arm comprised of pistons and cylinders pressurized by water was studied. A prototype system for planning the behaviors of the robot was evaluated, and it was confirmed that the movement trajectory of the robot and the three-dimensional isometric display could be visualized using the mesh model generated from point-cloud data used to make the environment model of the robot. It was also confirmed that the operations involved in a specific activity of the robot could be completed within the duration determined in the simulation.

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“…Virtual reality (VR) methods have been applied in conjunction with the VRDOSE software tool to simulate and plan dismantling work in an environment contaminated by radioactivity [5][6][7]. The distribution dose rate can be computed with numerical calculation codes that take into account source types and locations, the geometry of the environment, and the materials' characteristics [8][9][10]. A cutting process simulation has been developed and tested for the waste from equipment and piping components [11].…”

Section: Introductionmentioning

confidence: 99%

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

Seki¹,

Imamura²,

Nagase³

2020

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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.

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Establishment of the framework to visualize the space dose rates on the dismantling simulation system based on a digital manufacturing platform

Cited by 9 publications

References 8 publications

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

Real-time Simulation Methods for Robots with a Flexible Arm Based on Computer Graphics Technology

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

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