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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Computational Design and Engineering
Journal Basic Information
Journal DOI :
Society of CAD/CAM Engineers
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Volume & Issues
Volume 17, Issue 6 - Dec 2012
Volume 17, Issue 5 - Oct 2012
Volume 17, Issue 4 - Aug 2012
Volume 17, Issue 3 - Jun 2012
Volume 17, Issue 2 - Apr 2012
Volume 17, Issue 1 - Feb 2012
Selecting the target year
Standard Classifications and Project Numbering System for Integrated Construction Management of Modernized Korean Housing (Hanok)
Jung, Young-Soo ; Kim, Woo-Joong ; Ha, Ji-Won ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 225~233
DOI : 10.7315/CADCAM.2012.225
A comprehensive research effort in order to develop and disseminate modernized Korean housing (Hanok) has recently been initiated by Korean government. This large scale research project encompasses a wide spectrum of housing development including public policy, architectural plans, modules, construction materials and methods, prefabricated assemblies, automated production, construction management, and advanced information systems. For the purpose of integrating and automating the whole processes from an industry perspective, it is of great importance to develop a standard classification system and project numbering system (PNS) for the modernized Korean housing. This paper focuses on the standard classification systems and PNS for cost and schedule control. The distinct characteristics and managerial requirements were explored and embedded into the proposed classifications for modernized Hanok.
Multi-level Product Information Modeling for Managing Long-term Life-cycle Product Information
Lee, Jae-Hyun ; Suh, Hyo-Won ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 234~245
DOI : 10.7315/CADCAM.2012.234
This paper proposes a multi-level product modeling framework for long-term lifecycle products. The framework can help engineers to define product models and relate them to physical instances. The framework is defined in three levels; data, design model, modeling language. The data level represents real-world products, The model level describes design models of real-world products. The modeling language level defines concepts and relationships to describe product design models. The concepts and relationships in the modeling language level enable engineers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are explained to show how the framework can manage long-term lifecycle product information. A prototype system is provided for further understanding of the framework.
Optimization Routing Path Design of Hydraulic Hose Using Energy Minimization
Yim, Ho-Bin ; Kwon, Kang ; Kim, Jay-Jung ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 246~252
DOI : 10.7315/CADCAM.2012.246
The piping route of hydraulic hose is designed with avoiding interferences to surrounding components. However, in a real practice, the piping route is mostly decided with an expert`s experiences on site due to the complexity of design. Thus, this paper proposes a design methodology of the optimized route of a hose. We use NURBS representation to describe the piping route, which is possible to be locally modified, and an energy minimization method is applied to avoid interferences to the surroundings. In other words, the NURBS curve describing a piping route is modified to meet the desired positions from minimizing the perturbation of the control points, and the strain energy of the curve is then optimized to make the curve natural. The proposed method is implemented and its feasibility is validated using the commercial CAD software, CATIA V5.
Planning of Dental Implant Placement Using 3D Geometric Processing and Finite Element Analysis
Park, Hyung-Wook ; Park, Chul-Woo ; Kim, Myong-Soo ; Park, Hyung-Jun ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 253~261
DOI : 10.7315/CADCAM.2012.253
In order to make dental implant surgery successful, it is important to perform proper planning for dental implant placement. In this paper, we propose a decent approach to dental implant placement planning based on geometric processing of 3D models of jawbones, a nerve curve and neighboring teeth around a missing tooth. Basically, the minimum enclosing cylinders of the neighboring teeth around the missing tooth are properly used to determine the position and direction of the implant placement. The position is computed according to the radii of the cylinders and the center points of their top faces. The direction is computed by the weighted average of the axes of the cylinders. For a cylinder whose axis passes the position along the direction, its largest radius and longest length are estimated such that it does not interfere with the neighboring teeth and the nerve curve, and they are used to select the size and type of an implant fixture. From the geometric and spatial information of the jawbones, the teeth and the fixture, we can construct the 3D model of a surgical guide stent which is crucial to perform the drilling operation with ease and accuracy. We have shown the validity of the proposed approach by performing the finite element analysis of the influence of implant placement on bone stress distribution. Adopted in 3D simulation of dental implant placement, the approach can be used to provide dental students with good educational contents. It is also expected that, with further work, the approach can be used as a useful tool to plan for dental implant surgery.
GPU Algorithm for Outer Boundaries of a Triangle Set
Kyung, Min-Ho ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 262~273
DOI : 10.7315/CADCAM.2012.262
We present a novel GPU algorithm to compute outer cell boundaries of 3D arrangement subdivided by a given set of triangles. An outer cell boundary is defined as a 2-manifold surface consisting of subdivided polygons facing outward. Many geometric problems, such as Minkowski sum, sweep volume, lower/upper envelop, Bool operations, can be reduced to finding outer cell boundaries with specific properties. Computing outer cell boundaries, however, is a very time-consuming job and also is susceptible to numerical errors. To address these problems, we develop an algorithm based on GPU with a robust scheme combining interval arithmetic and multi-level precisions. The proposed algorithm is tested on Minkowski sum of several polygonal models, and shows 5-20 times speedup over an existing algorithm running on CPU.
A Study of PLC Simulation for Transport System in Virtual Environment
Ko, Min-Suk ; Park, Sang-Chul ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 274~281
DOI : 10.7315/CADCAM.2012.274
This paper proposed a control simulation method for design and verification of the transport system in an automobile assembly line based on digital manufacturing system. The design of the transport system involves two major activities: mechanical design (device specification) and electrical design (device behavior and system control). Conventionally, the simulation and emulation system of the transport system focuses on the abstract level, which mainly deals with design verification, alternative comparison, and system diagnosis. Although it can provide overall system visibility in monitoring how well it works in the process and view, its simulation models are not sufficiently realistic to be used for a detailed design or for implementation purposes. In this paper, a digital simulation model for a transport system in an automotive assembly line is constructed by adapting a digital manufacturing methodology. We use the concept of the "Virtual Probe", which transport a carrier instead of the belt of the conveyor. In conclusion, the proposed method is valuable in the process of test run in the shop floor. This method would reduce the time and effort for validating the manufacturing system and improve the productivity and integrity of the control program.
An Error-Bounded B-spline Fitting Technique to Approximate Unorganized Data
Park, Sang-Kun ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 282~293
DOI : 10.7315/CADCAM.2012.282
This paper presents an error-bounded B-spline fitting technique to approximate unorganized data within a prescribed error tolerance. The proposed approach includes two main steps: leastsquares minimization and error-bounded approximation. A B-spline hypervolume is first described as a data representation model, which includes its mathematical definition and the data structure for implementation. Then we present the least-squares minimization technique for the generation of an approximate B-spline model from the given data set, which provides a unique solution to the problem: overdetermined, underdetermined, or ill-conditioned problem. We also explain an algorithm for the error-bounded approximation which recursively refines the initial base model obtained from the least-squares minimization until the Euclidean distance between the model and the given data is within the given error tolerance. The proposed approach is demonstrated with some examples to show its usefulness and a good possibility for various applications.
Process Improvement for PDM/PLM Systems by Using Process Mining
Lee, Sang-Il ; Ryu, Kwang-Yeol ; Song, Min-Seok ;
Korean Journal of Computational Design and Engineering, volume 17, issue 4, 2012, Pages 294~302
DOI : 10.7315/CADCAM.2012.294
Process mining is a useful methodology that can be used for extracting user patterns in log files in order to discover efficient or inefficient processes in organizations. In general, it is used to find and reduce differences between pre-defined processes and actually executed processes in an organization. In this paper, we propose a method to improve processes in PDM/PLM systems based on process mining. In order to improve and detect the inefficient processes, we gathered event logs from PDM/PLM systems and derived process models using several process mining techniques such as
-algorithm mining, heuristics mining, and fuzzy miner. By comparing original process models with process mining results, it is possible to detect differences between predefined processes and real ones; thereby we can build improved process models for future application.