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유원철(Wonchul Yoo),김태완(Tae-wan Kim) (사)한국CDE학회 2014 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2014 No.2
Improved methods of moving parabolic approximation using BFGS and limited memory BFGS(L-BFGS) optimization are proposed in this study. Moving parabolic approximation is an efficient way to reconstruct a point-based model of a curve or surface represented as an unorganized point cloud. However, MPA shows drawbacks in calculation time and memory consumption while solving problems in high-dimension space and with many points. The analysis of the drawbacks showed the problem was due to the selection of the optimizing algorithm. We adopted the BFGS and L-BFGS algorithm in MPA. Proposed algorithm can be applied and is efficient in to high-dimension, large scale point cloud refinement problems.
Plate Searching Algorithm for Relation Based Ship Outfitting Assembly Planning Automation
Wonchul Yoo(유원철),Hyung-woo Lee(이형우),Taewan Kim(김태완) (사)한국CDE학회 2012 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2012 No.2
The relation based ship outfitting assembly planning automation(APA) is developed in this study. Ship outfitting APA is an automated process that plans the assembly block and stage of outfitting parts using CAD data. Finding the related blocks and its number is one of the key problems in relation based ship outfitting APA. To solve the problem, a ship was modeled as a weighted directional graph which its components are nodes and their joints are edges. The weights of the edges are determined by the priority of the relationship that the edge represents. Define this graph as weighted part-relationship graph(weighted P-R graph). From an outfitting part, using Dijkstra algorithm, the plate searching algorithm perform the search until a hull structure part is found. The plate searching algorithm takes P-R graph as input, and takes related block data and number of related blocks as output. ship outfitting APA using the plate searching algorithm is commercialized, the APA accuracy would increase and planning expenses would decrease compared to using volume based outfitting APA or planning assembly manually
3 차원 선박 CAD 를 위한 오픈소스 기반 경계곡선 그물망의 G¹ 선형 생성기능 개발
장왕석(Wangseok Jang),이원희(Won Hee Lee),유원철(Wonchul Yoo),김태완(Tae-wan Kim) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
This research aims to develop G¹ hullform generation from curve network based on open source software for 3D ship CAD. Due to activation of Harmonized Common Structure Rules (CSR-H) recently, structure analysis for whole ship components is required. Currently, 3D ship CAD development is actively underway for generating finite element model of whole ship components. Hullform generation is required to express precise ship boundary to acquire accurate analysis of ship. In this study, the hullform generation function is developed to interpolate curve precisely from curve network using open source software. The main idea of the hullform generation is point sampling from C<SUP>0</SUP> Coons patches and re-parametrize to global parameter. Finally these points approximate by G¹continuity surface basis generate G¹continuity surface while modifying curve network to a minimum. (Within 127Words)
Automatic Inspection of As-Built Piping System for Design Consistency
Tharun Kumar Parepalli(타런 쿠마르 파레팔리),Wonchul Yoo(유원철),Tae-wan Kim(김태완) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계
As the exploration for resources moving deeper into the oceans, lifetime and complexity of offshore plants increases, effective management of the plants require high precision built consistent CAD models. This paper presents a new algorithm to automatically detect as-built position of pipes, flanges and elbows which can be extended to tee junction, corresponding to their as-designed models. These positions can be used to modify the CAD model or the construction depending on the difference in as-designed and as-built positions. The algorithm uses Laser Scanned Point Cloud for as-built information and CAD model for the as-designed. The algorithms are implemented based on Point Cloud Library (PCL) and verified with industrial data.