Improvement of Ordinal Representation Scheme for Solving Optimal Component Arrangement Problem of Circular Consecutive-k-out-of-n: F System

2009 ◽  
Vol 6 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Koji Shingyoch ◽  
Hisashi Yamamoto ◽  
Yasuhiro Tsujimura ◽  
Yasushi Kambayashi
Keyword(s):  
Arrangement Problem ◽  
Representation Scheme ◽  
F System

Life-Cycle Engineering Design

1995 ◽  
Vol 117 (B) ◽  
pp. 42-47 ◽  
Author(s):  
K. Ishii
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Functional Performance ◽  
Semantic Network ◽  
Research Issues ◽  
Life Cycle Engineering ◽  
Engineering Research ◽  
Design Representation ◽  
Life Cycle Design ◽  
Representation Scheme

Life-cycle engineering seeks to incorporate various product life-cycle values into the early stages of design. These values include functional performance, manufacturability, serviceability, and environmental impact. We start with a survey of life-cycle engineering research focusing on methodologies and tools. Further, the paper addresses critical research issues in life-cycle design tools: design representation and measures for life-cycle evaluation. The paper describes our design representation scheme based on a semantic network that is effective for evaluating the structural layout. Evaluation measures for serviceability and recyclability illustrate the practical use of these representation schemes.

The Development of an Automatic Three-Dimensional Mesh Generator via Modified Ray Casting

1992 ◽  
Author(s):  
Cengiz Yeker ◽  
Ibrahim Zeid
Keyword(s):  
Finite Elements ◽  
Cell Structure ◽  
Three Dimensional ◽  
Ray Casting ◽  
Solid Object ◽  
Casting Technique ◽  
Element Size ◽  
A Cell ◽  
Conforming Meshes ◽  
Representation Scheme

Abstract A fully automatic three-dimensional mesh generation method is developed by modifying the well-known ray casting technique. The method is capable of meshing objects modeled using the CSG representation scheme. The input to the method consists of solid geometry information, and mesh attributes such as element size. The method starts by casting rays in 3D space to classify the empty and full parts of the solid. This information is then used to create a cell structure that closely models the solid object. The next step is to further process the cell structure to make it more succinct, so that the cells close to the boundary of the solid object can model the topology with enough fidelity. Moreover, neighborhood relations between cells in the structure are developed and implemented. These relations help produce better conforming meshes. Each cell in the cell structure is identified with respect to a set of pre-defined types of cells. After the identification process, a normalization process is developed and applied to the cell structure in order to ensure that the finite elements generated from each cell conform to each other and to other elements produced from neighboring cells. The last step is to mesh each cell in the structure with valid finite elements.

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