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Journal of Computational Design and Engineering

한국CDE학회 (Society for Computational Design and Engineering)

  • 격월간
  • /
  • 2288-4300(pISSN)
  • /
  • 2288-5048(eISSN)

과학기술표준분류

  • 정보/통신 ＞ 정보이론

Aim & Scope

Journal of Computational Design and Engineering is a fully open access, international journal that aims to provide academia and industry with a venue for rapid publication of research manuscripts reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of a computational framework to support large scale design and engineering • Interaction issues among human, designed artefacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal for new research directions as well as surveys and retrospectives on the mature field. Examples of relevant topics include traditional and emerging issues in design and engineering but are not limited to: • Field-specific issues in mechanical, aerospace, shipbuilding, industrial, architectural, civil, electrical, and biomedical engineering • Geometric modelling and processing, solid and heterogeneous modelling, computational geometry, features, and virtual prototyping • Computer graphics, image processing, virtual and augmented reality, and scientific visualisation • Human modelling and engineering, user interaction and experience, human-computer interaction (HCI), human-machine interface (HMI), human-vehicle interaction (HVI), cognitive engineering, and human factors and ergonomics with computers • Knowledge-based engineering, intelligent CAD, AI and machine learning in engineering, and ontology • Product data exchange and management, interoperability, data mining and analytics, and database issues • Design theory and methodology, sustainable design and engineering, concurrent engineering, and collaborative engineering • Digital and virtual manufacturing, rapid prototyping (3D/4D printing) and tooling, and CNC machining • Computer-aided inspection, geometric and engineering tolerancing, and reverse engineering • Finite element analysis, optimization, meshes and discretization, and virtual engineering • Bio-CAD, Nano-CAD, and medical applications • Aesthetic design, new media, and design education • Survey and benchmark reports.

http://www.jcde.org KSCI KCI SCOPUS

제2권3호

  1. Wu, Weidong;Yang, Xunnian 129
    https://doi.org/10.1016/j.jcde.2015.03.001 PDF
    This paper proposes a novel method for shape design of a Bezier surface with given boundary curves. The surface is defined as the minimizer of an extended membrane functional or an extended thin plate functional under the guidance of a specified normal field together with an initial prescribed surface. For given boundary curves and the guiding normal field, the free coefficients of a Bezier surface are obtained by solving a linear system. Unlike previous PDE based surface modeling techniques which construct surfaces just from boundaries, our proposed method can be used to generate smooth and fair surfaces that even follow a specified normal field. Several interesting examples are given to demonstrate the applications of the proposed method in geometric modeling.
  2. Tseng, Tzu-Liang (Bill);Jiang, Fuhua;Kwon, Yongjin (James) 137
    https://doi.org/10.1016/j.jcde.2015.02.002 PDF
    In this study, a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations. The purpose was to generate a supplemental control function under the dynamic machining environment, where unforeseeable changes may occur frequently. Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types, a hybrid system was generated. Genetic algorithm was used for fuzzy adaptation in the control system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy. The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions.
  3. Nyamsuren, Purevdorj;Lee, Soo-Hong;Hwang, Hyun-Tae;Kim, Tae-Joo 148
    https://doi.org/10.1016/j.jcde.2015.02.001 PDF
    Increased competitive challenges are forcing companies to find better ways to bring their applications to market faster. Distributed development environments can help companies improve their time-to-market by enabling parallel activities. Although, such environments still have their limitations in real-time communication and real-time collaboration during the product development process. This paper describes a web-based collaborative framework which has been developed to support the decision making on a 3D design developing process. The paper describes 3D design file for the discussion that contains all relevant annotations on its surface and their visualization on the user interface for design changing. The framework includes a native CAD data converting module, 3D data based real-time communication module, revision control module for 3D data and some sub-modules such as data storage and data management. We also discuss some raised issues in the project and the steps underway to address them.
  4. Sawai, Kana;Nomaguchi, Yutaka;Fujita, Kikuo 157
    https://doi.org/10.1016/j.jcde.2015.03.002 PDF
    This paper discusses an optimization-based approach for the design of a product platform for industrial three-axis linear-type robots, which are widely used for handling objects in manufacturing lines. Since the operational specifications of these robots, such as operation speed, working distance and orientation, weight and shape of loads, etc., will vary for different applications, robotic system vendors must provide various types of robots efficiently and effectively to meet a range of market needs. A promising step toward this goal is the concept of a product platform, in which several key elements are commonly used across a series of products, which can then be customized for individual requirements. However the design of a product platform is more complicated than that of each product, due to the need to optimize the design across many products. This paper proposes an optimization-based fundamental framework toward the design of a product platform for industrial three-axis linear-type robots; this framework allows the solution of a complicated design problem and builds an optimal design method of fundamental features of robot frames that are commonly used for a wide range of robots. In this formulation, some key performance metrics of the robot are estimated by a reducedorder model which is configured with beam theory. A multi-objective optimization problem is formulated to represent the trade-offs among key design parameters using a weighted-sum form for a single product. This formulation is integrated into a mini-max type optimization problem across a series of robots as an optimal design formulation for the product platform. Some case studies of optimal platform design for industrial three-axis linear-type robots are presented to demonstrate the applications of a genetic algorithm to such mathematical models.
  5. Aalae, Benki;Abderrahmane, Habbal;Gael, Mathis;Olivier, Beigneux 165
    https://doi.org/10.1016/j.jcde.2015.03.003 PDF
    One of the current challenges in the domain of the multicriteria shape optimization is to reduce the calculation time required by conventional methods. The high computational cost is due to the high number of simulation or function calls required by these methods. Recently, several studies have been led to overcome this problem by integrating a metamodel in the overall optimization loop. In this paper, we perform a coupling between the Normal Boundary Intersection - NBI - algorithm with Radial Basis Function - RBF - metamodel in order to have a simple tool with a reasonable calculation time to solve multicriteria optimization problems. First, we apply our approach to academic test cases. Then, we validate our method against an industrial case, namely, shape optimization of the bottom of an aerosol can undergoing nonlinear elasto-plastic deformation. Then, in order to select solutions among the Pareto efficient ones, we use the same surrogate approach to implement a method to compute Nash and Kalai-Smorodinsky equilibria.
  6. Lee, Hyun-Taek;Kim, Sung-In;Park, Jong Min;Kim, Ho-Jin;Song, Dae-Seob;Kim, Hyung-Il;Wu, Hong-Gyun;Ahn, Sung-Hoon 176
    https://doi.org/10.1016/j.jcde.2015.03.004 PDF
    Head-and-neck cancer is often treated with intensive irradiation focused on the tumor, while delivering the minimum amount of irradiation to normal cells. Since a course of radiotherapy can take 5-6 weeks or more, the repeatability of the patient posture and the fastening method during treatment are important determinants of the success of radiotherapy. Many devices have been developed to minimize positional discrepancies, but all of the commercial devices used in clinical practice are operated manually and require customized fixtures for each patient. This is inefficient and the performance of the fixture device depends on the operator's skill. Therefore, this study developed an automated head-and-neck immobilizer that can be used during radiotherapy and evaluated the positioning reproducibility in a phantom experiment. To eliminate interference caused by the magnetic field from computed tomography hardware, Ni-Ti shape-memory alloy wires were used as the actuating elements of the fixtures. The resulting positional discrepancy was less than 5 mm for all positions, which is acceptable for radiotherapy.
  7. Inui, Masatomo;Umezun, Nobuyuki;Wakasaki, Kazuma;Sato, Shunsuke 183
    https://doi.org/10.1016/j.jcde.2015.04.001 PDF
    This paper proposes a novel method for visualizing the thickness and clearance of 3D objects in a polyhedral representation. The proposed method uses the distance field of the objects in the visualization. A parallel algorithm is developed for constructing the distance field of polyhedral objects using the GPU. The distance between a voxel and the surface polygons of the model is computed many times in the distance field construction. Similar sets of polygons are usually selected as close polygons for close voxels. By using this spatial coherence, a parallel algorithm is designed to compute the distances between a cluster of close voxels and the polygons selected by the culling operation so that the fast shared memory mechanism of the GPU can be fully utilized. The thickness/clearance of the objects is visualized by distributing points on the visible surfaces of the objects and painting them with a unique color corresponding to the thickness/clearance values at those points. A modified ray casting method is developed for computing the thickness/clearance using the distance field of the objects. A system based on these algorithms can compute the distance field of complex objects within a few minutes for most cases. After the distance field construction, thickness/clearance visualization at a near interactive rate is achieved.