서론 : 본 연구에서는 보조기의 전통적인 제작방법과 3D 프린팅 방법과의 비교를 통해 향후 임상 적용 가능성과 작업치료 교육 과정에의 도입 가능성에 대해 고찰하고자 한다. 본론 : 작업치료사들이 전통적으로 보조기를 제작하는 과정과 3D 프린팅 방법을 사용한 보조기 제작 과정을 알아보고 프 린팅 방식과 사용되는 재료, 신체를 측정하는 방법에 대해 비교하였다. 전통적인 제작방법이 가지는 한계와 3D 프린팅 방법에 의한 제작에는 각각의 장단점이 존재하였고 임상적으로 적용하기 위해서는 현실적으로 해결해야 할 부분이 존재 하였다. 결론 : 3D 프린팅 기술이 재활치료 분야에서 주목받기 시작하고 있어 향후 작업치료 분야에서도 임상적용이 될 날이 다가 올 것이라고 예측할 수 있다. 이러한 임상에서의 변화에 적응하고 새로운 시대에 맞는 새로운 치료적 적용을 위한 보조기 제작법을 교육할 필요가 있으며 기존의 전통적인 방법으로 손 보조기를 제작하는 방법을 교육함과 더불어 시대에 맞는 새로운 기술을 작업치료교육에 도입하기 위한 노력이 필요할 것이다.

The SLA 3d printer is the first of the commercial 3D printer. The 3D printed output is printed hanging on the bed that move to the upper position. Sandblasted bed is used to prevent layer shift. If sandblasting is wrong, the 3D printed output is layer shifted. For this reason, 3D printer manufacturing companies inspect the bed surface. However, the sandblasted surface has variety of irregular shapes and craters, so it is difficult to establish a quality control standard. To solve problems, this paper presents a standardized sandblasting histogram and threshold. We present a filter that can increase the classification rate.

In this study, we aimed to apply 3D digital printing to basic clothing production and to propose futuristic fashion design and production methods that correspond to contemporary trends. Literature on future trends, dynamism, mechanical aesthetics, and experimentalism were used to define the characteristics of “futurism.” Based on theoretical considerations about futurism, we created fashion designs using 3D digital printing methods. These designs were produced using the aesthetic characteristics of futurism; the 3D digital clothing program; and application of digital printing technologies to futuristic silhouettes, colors, and materials. The results were as follows: First, with the application of futurism as a fashion motif, we pursued collaboration between artistic work and fashion, and we then explored the possibility of creative expression. Second, harmony between achromatic and chromatic colors revealed even better dynamism and activeness, and the potential to express dynamism was observed. Third, with the development of fashion design processes based on 3D digital printing methodologies, it was found to be possible to eliminate the limitations of time and space, solve problems related to limited budget or communication, and positively influence the fashion industry by enhancing convenience and diversity. Fourth, with the development of fashion design that utilizes digital printing, it was found that problems related to time, space, or limited budget were able to be solved, as compared to the use of traditional printing and image reproduction.

During the decommissioning of nuclear facilities, 3D digital model that precisely describes the work environment can expedite the accomplishment of the work. Thus, the workers’ exposure to radiation is minimized and the safety risk to the workers is reduced, while precluding inadvertent effects on the environment. However, it is common that the 3D model does not exist for legacy nuclear facilities as most of the initial design drawings are 2D drawings and even some of the 2D drawings are missing. Even in the case that all of the 2D drawings are intact, these initial design drawings need to be updated using asbuilt data because facilities get modified through years of operation. In those cases, 3D scanning can be a good option to quickly and accurately generate a structure’s actual 3D geometric information. 3D scanning is a technique used to capture the shape of an object in the form of point cloud. Point cloud is a collection of large number of points on the external surfaces of objects measured by 3D scanners. The conversion of point cloud to 3D digital model is a labor-intensive process as a human worker needs to recognize objects in the point cloud and convert the objects into 3D model, even though some of the conversion process can be automated by using commercial software packages. With the aim of full automation of scan-to-3D-model process, deep learning techniques that take point cloud as input and generate corresponding 3D model have been studies recently. This paper introduces an efficient scan simulation method. The simulator generates synthetic point cloud data used to train deep learning models for classifying reactor parts in robotic nuclear decommissioning system. The simulator is built by implementing a ray-casting mechanism using a python library called ‘Pycaster’. In order to improve the speed of simulation, multiprocessing is applied. This paper describes the ray casting simulation mechanism and compares the in-house scan simulator with an open source sensor simulation package called Blensor.

In 2017, Kori unit 1 nuclear power plant was permanently shut down at the end of its life. Currently, Historical Site Assessment (HSA) for MARSSIM characteristics evaluation is being conducted according to the NUREG-1575 procedure, this is conducted through comprehensive details such as radiological characteristics preliminary investigation and on-site interview. Thus, the decommissioning of nuclear power plant must consider safety and economic feasibility of structures and sites. For this purpose, the establishment of optimal work plan is required which simulations in various fields. This study aims to establish procedure that can form a basis for a rational decommissioning plan using the virtual nuclear power plant model. The mapping procedure for 3D platform implementation consisted of three steps. First, scan the inside and outside of the nuclear power plant for decommissioning structure analysis, 3D modeling is performed based on the data. After that, a platform is designed to directly measure the radiation dose rate and mapped the derived to the program. Finally, mapping the radiation dose rate for each point in 3D using the radiation dose rate calculation factor according to the time change the measured value created on the 3D mapping platform. When the mapping is completed, it is possible to manage the exposure dose of workers according to the ALARA principle through the charge of radiation dose rate over time because of visualization of the color difference to the radiation dose rate at each point. For addition, the exposure dose evaluation considering the movement route and economic feasibility can be considered using developed program. As the interest in safety accidents for workers increases, the importance of minimum radiation dose and optimal work plan for workers is becoming increasingly important. Through this mapping procedure, it will be possible to contribute to the establishment of reasonable process for dismantling nuclear power plant in the future.

3D imaging equipment is essential for automated robotic operations that cut radiologically contaminated structure and transfer segmented pieces in nuclear facility dismantling site. Automated dismantling operations using programmed robotic arms can make conventional nuclear facility dismantling operations much more efficient and safer, so dismantling technologies using robotic arms are being actively researched. Resolving the position uncertainty of the target structure is very important in automated robot work, and in general industries, the problem of position uncertainty is solved through the method of teaching the robot in the field, but at the nuclear facility dismantling site, the teaching method by workers is impossible due to activated target structures. Therefore, 3D imaging equipment is a key technology for a remote dismantling system using automated robotic arms at nuclear facility dismantling site where teaching methods are impossible. 3D imaging equipment available in radioactive and underwater environments is required to be developed for a remote dismantling system using robotic arms because most commercial 3D scanners are available in air and certain 3D scanners available in radioactive and underwater environments cannot satisfy requirements of the remote dismantling system such as measurement range and radiation resistance performance. The 3D imaging equipment in this study is developed based on an industrial 3D scanner available in air for efficient development. To protect the industrial 3D scanner against water and radiation, a housing is designed by using mirrors, windows and shieldings. To correct measurement errors caused by refraction, refraction model for the developed 3D imaging equipment is defined and parameter studies for uncertain variables are performed. The 3D imaging equipment based on the industrial 3D scanner has been successfully developed to satisfy the requirements of the remote dismantling system. The 3D imaging equipment can survive up to a cumulative dose of 1 kGy and can measure a 3D point cloud in the air and in water with an error of less than 1 mm. To achieve the requirements, a proper industrial 3D scanner is selected, a housing and shielding for water and radiation protection is designed, refraction correction are performed. The developed 3D imaging equipment is expected to contribute to the wider application of automated robotic operations in radioactive or underwater environments.

3D modeling is a technology for representing real objects in a virtual 3D space or modeling and reproducing the physical environment. 2D drawings for viewing the existing building structure have limitations that make it difficult to understand the structure. By implementing this 3D modeling, specific visualization became possible. 3D technology is being applied in a wide range of preevaluation work required for nuclear decommissioning. In Slovakia, 3D modeling was applied to determine the optimal cutting strategy for the primary circuit before dismantling the VVER type Bohunice V1. In Japan, the Decommissioning Engineering Support System (DEXUS) program has been developed that incorporates VRDose, a decommissioning engineering support system based on 3D CAD models. Through this, the cutting length of the work object and the quantity of containers for packaging waste are calculated, exposure dose calculations in various dismantling scenarios, and cost estimation are performed. Korea also used 3D technology to evaluate the decommissioning waste volume for Kori Unit 1 and to evaluate the optimal scenario of the decommissioning process procedure for the research reactor Unit 1. 3D technology is currently being used in various pre-decommissioning evaluations for VVER, PWR, and research reactors. Overseas, a program that matches various decommissioning pre-evaluation tasks with cost estimation has also been developed. However, most 3D technologies are mainly used as a support system for dose evaluation and amount of decommissioning waste calculation. In this study, 3D modeling was performed on the PHWR structure, and physical and radiological information about the structure was provided. The information on the structure can present the unit cost for the work object by confirming the standard of the applied unit cost factor (UCF). The UCF presents the unit cost for repeated decommissioning operations. The decommissioning cost of the work object can be obtained by multiplying the UCF by the number of repetitions of the work. If the results of this study are combined with the process evaluation and waste quantity estimation performed in previous studies, it is judged that it will be helpful in developing an integrated NPP decommissioning program that requires preliminary evaluation of various tasks. In addition, it is judged that a clear cost estimation of the object to be evaluated will be possible by matching the 3D work object with the UCF.

Spent nuclear fuels in Korea are temporarily stored at the nuclear power plant site and it is expected that will become saturated from 2031. Deep geological disposal in engineered barrier system (EBS) is one of the most important options for disposing spent nuclear fuel. The disposal canister is the first barrier that prevents leakage of nuclides in the spent nuclear fuel to the environment. Therefore, the corrosion behavior of the canister materials are significant factors in determining the overall disposal period. Oxygen-free copper is the most widely used material for disposal canisters, and manufacturing methods include forging, cold spray, and electro-deposition. In this study, corrosion behavior of materials that have the potential to replace oxygen-free copper manufactured using various 3D printing method were analyzed. As a result of electrochemical analysis of various materials such as copper manufactured by the Atmospheric Plasma Spray (APS) process and Inconel 718 manufactured by the Direct Energy Deposition (DED) process, the possibility of replacing oxygen-free copper was confirmed.

Digitization and automation technologies have rapidly maximized productivity and efficiency in all industries over the past few decades. Construction automation technology has either stagnated over the same period or has not kept pace with overall economic productivity. According to the research studies up to now, the output of concrete structures using coarse aggregates (8mm or more) is very limited due to the limitations of equipment and materials. In this study, information on the development process of 3DCP equipment that can print concrete structures with the printing width (100 mm or more) and printing thickness (30 mm or more) using a 3DCP material mixed with coarse aggregate (8 mm or more) is provided. To verify the performance of the developed 3DCP equipment, experimental data are provided on output variables, the number of layers, and the inter-layer printing time interval. The evaluation and verification data of various mechanical properties (compressive and splitting tensile strength) of printed materials using coarse aggregates are provided.

블록 매칭 및 3D 필터링(BM3D) 알고리즘은 단일 필터의 문제점을 보완하기 위하여 non-local means 기반으로 만들 어진 융합형 노이즈 제거 알고리즘이다. 하지만, 그 수식 인자의 조절에 관한 연구는 이루어지지 않고 있어 본 연구에서는 자기공명영상에서 발생하는 Rician 노이즈를 제거하기 위해 BM3D 알고리즘의 평활화 정도를 결정하는 노이즈 전력 스펙 트럼 밀도(noise power spectrum density,  )에 대한 최적화를 진행하고자 하였다. MRiLab 시뮬레이션 프로그램을 이 용하여 뇌 조직을 모사할 수 있는 뇌척수액(cerebrospinal fluid, CSF)/회색질(gray matter, GM)/백질(white matter, WM) 팬텀의 T1 강조영상을 획득하였고, 노이즈 레벨이 0.1, 0.15, 0.2, 0.25, 그리고 0.3인 Rician 노이즈를 각각 부가 한 후, BM3D 알고리즘의  값을 0.01부터 0.99까지 0.01씩 증가시키며 각각의 노이즈가 부가된 영상에 적용하였다. 정량 적 평가를 통해 최적화 값을 선정하기 위하여 CSF, GM, WM, 그리고 배경 영역에 관심 영역을 설정한 후 조직별 신호 대 잡음비(signal to noise ratio, SNR), 총 변동계수(coefficient of variation, COV), 그리고 평균 제곱근 오차(root mean square error, RMSE)를 측정하였다. 결과적으로, 조직별로 계산된 SNR, COV, 그리고 RMSE를 종합적으로 평가 했을 때 모든 조직에서 노이즈 레벨 0.1부터 0.3까지 증가함에 따라  값 또한 함께 증가하는 경향이 나타났으며 일정  값 이상에서는 노이즈뿐만 아니라 영상신호까지 함께 제거되어 개선 폭이 감소하는 것으로 관찰되었으며, 노이즈 레벨에 따라 각각 0.09, 0.13, 0.17, 0.21, 그리고 0.25의  값이 설정된 BM3D 알고리즘이 적용되었을 때 가장 합리적인 영상 특성을 보이는 것으로 나타났다. 결론적으로, 효과적인 노이즈 제거를 위해서 고정된 값이 아닌 노이즈 레벨에 따른 적합한 값을 적용해야 함을 증명할 수 있었다.

카메라 어레이와 사진측량(photogrammetry)을 이용한 3차원 스캐닝 기술은 인체 전신을 게임이나 시각효과 (VFX), 가상인간 등의 다양한 컴퓨터 그래픽스 응용 분야에 활용되고 있다. 특히 최근에는 메타버스 분야에 대한 구축이 활발해 지고 있는 추세여서 실제 인물에 대한 전신 스캔을 보다 저렴하게 수행할 수 있는 시 스템에 대한 요구가 증가하고 있다. 본 연구에서는 고가의 DSLR 카메라를 이용한 시스템보다 1/10정도의 가격으로 구축할 수 있는 시스템을 제작하는 사례를 제시하고자 한다. 인체 전신에 대해 동시촬영의 오차가 적은 시스템을 구축하는데 중점을 두었다. 최근의 컴퓨터 그래픽스 기술은 보다 사실적인 캐릭터를 보다 효 율적으로 생성하고 사용할 수 있는 방법으로 발전하고 있다. 따라서 본 시스템은 최근 다양한 연구와 개발 이 이루어지고 있는 메타버스의 캐릭터 구축이나 게임의 캐릭터의 모델링에 활용할 수 있는 장비로 활용될 수 있을 것으로 기대하며, 이러한 시스템을 좀 더 저비용으로 구축하고자 하는 연구자들이나 개발자들에게 도움이 될 수 있을 것으로 본다. 또한 최신의 실시간 렌더링 시스템의 추세와 삼각측량 관련 연구와 기술의 발전에도 기여할 수 있을 것으로 보인다.

Recently, 3D printing has been actively studied. A representative material in this 3D printing technology is plastic, and PLA, an eco-friendly material, is widely used. FDM is widely used as a way to output these PLA materials. However, this method lacks mechanical properties compared to injection-molded products as it is a method of stacking materials by melting. Therefore, in this study, using an FDM-type 3D printer, a tensile test was performed after printing a tensile specimen with PLA filament with the layer angle and layer density as control factors. After that, changes in tensile properties according to the layer angle and density were compared and evaluated. As a result, to improve the tensile strength, the layer density had to be considered, and to improve the elastic modulus, both the layer angle and the layer density had to be considered.

3D 프린팅은 다수의 레이어(layer)를 적층하여 물체를 제작하는 기법으로, 복잡한 형상을 가지는 물체를 비교적 쉽게 제작할 수 있 다. 이를 건설 산업에 접목한 3D 콘크리트 프린팅(3D concrete printing)은 콘크리트 타설 시 거푸집을 사용하지 않으며, 비교적 적은 작업량과 인력이 요구되므로 경제적인 시공이 가능하나, 출력된 3D 프린팅 콘크리트는 일반 콘크리트 대비 다소 낮은 강도가 예상된 다. 따라서, 본 연구에서는 3D 프린팅 콘크리트 시편의 물성을 분석하였다. 3D 프린팅 콘크리트 시편 출력을 위해 Ultimaker Cura 소 프트웨어로 형상 및 출력 경로를 설계하고, 이를 바탕으로 3D 프린터를 제어하는 G-code를 생성하였다. 연구에서 사용된 3D 프린터 의 출력 성능과 콘크리트의 적층성, 유동성 등을 고려하여 최적의 배합비를 선정하였고, 시편 출력에 활용하였다. 시편 출력 시 동일 한 치수를 가지는 몰드 시편을 함께 제작하여 비교･분석에 사용하였다. 각 시편의 물성은 휨강도 시험과 압축강도 시험을 통해 각각 의 강도를 측정하였고, 비교･분석하여 3D 프린팅 콘크리트 시편의 물성을 확인하였다.