Design Retrieval

2020 ◽  
pp. 78-126
Author(s):  
Charles S. Knox
Keyword(s):  
Design Retrieval

scholarly journals Applying CBR for design: retrieval phase

2006 ◽  
pp. 439-448 ◽  
Author(s):  
G. Nekrassov ◽  
L. Portjanski
Keyword(s):  
Design Retrieval ◽  
Retrieval Phase

Geometric Reasoning for the Coding of CAD Models

1995 ◽  
Author(s):  
A. Z. Qamhiyah ◽  
B. Benhabib ◽  
R. D. Venter
Keyword(s):  
Computer Aided Design ◽  
Feature Recognition ◽  
Effective Means ◽  
Boundary Representation ◽  
Cad Model ◽  
Cad System ◽  
Cad Models ◽  
Form Features ◽  
Feature Based Design ◽  
Design Retrieval

Abstract Many of today’s concurrent product-development cycles depend on the utilization of intelligent Computer-Aided Design (CAD) systems. Thus, it would be essential to provide CAD users with effective means for interacting with the CAD system and its database. This paper addresses the development of a boundary-based coding procedure for CAD models. Coding the geometric and processing characteristics of objects, based on their CAD model representation, has been long recognized as an effective approach that allows convenient design retrieval on the one hand and process-planning automation on the other. Our work is based on the assumption that form features are recognizable and extractable from the CAD model by current feature-recognition, feature extraction and feature-based-design approaches. The coding procedure is applicable to the boundary representation of the object and its extracted form features.

Development of technology for customer requirement-based reference design retrieval

2006 ◽  
Vol 22 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Chin-Bin Wang ◽  
Yuh-Jen Chen ◽  
Yuh-Min Chen ◽  
Hui-Chuan Chu
Keyword(s):  
Customer Requirement ◽  
Reference Design ◽  
Design Retrieval

Integrating corpus data in dynamic knowledge bases

Terminology ◽  
2008 ◽  
Vol 14 (2) ◽  
pp. 159-182 ◽  
Author(s):  
Maribel Tercedor ◽  
Clara I. López Rodríguez
Keyword(s):  
Knowledge Base ◽  
Contextual Information ◽  
Knowledge Bases ◽  
Coastal Engineering ◽  
Lexical Information ◽  
Corpus Design ◽  
Conceptual Organization ◽  
Corpus Data ◽  
Design Retrieval

Terminological information is a key element in the construction of a knowledge base. In order for a knowledge base to be useful to different users, terminological information should be extracted from corpora so as to reflect the different pragmatic nuances. Puertoterm is a knowledge base in the field of Coastal Engineering, which has made use of corpus information to develop terminological entries. It also includes contextual information in such a way that this information interacts with other elements of the knowledge base. We describe the methodology followed in the project regarding corpus design, retrieval of lexical information, conceptual organization of the domain of Coastal Engineering, and the elaboration of terminological entries.

Product Design Retrieval by Matching Bills of Materials

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
M. Kashkoush ◽  
H. ElMaraghy
Keyword(s):  
Product Design ◽  
Phylogenetic Trees ◽  
Retrieval Method ◽  
Tree Reconciliation ◽  
Bill Of Materials ◽  
Use Of Data ◽  
Speed Up ◽  
Novel Method ◽  
Design Retrieval

A new automatic design retrieval method that identifies the legacy product design most similar to a new one is proposed. Matching phylogenetic trees has been utilized in biological science for decades and is referred to as “tree reconciliation.” A new application of this approach in manufacturing is presented where legacy designs are retrieved based on reconciliation of trees representing products bill of materials (BOM). A product BOM is a structured tree, which represents its components and their hierarchal relationships; hence, it captures the contents and structure of assembled products. Making use of data associated with the retrieved designs also helps speed-up other downstream planning activities such as process planning, hence improving planning efficiency. A chemical processing centrifugal pump is used as a case study for illustration. The results obtained using the proposed method is compared with those recently published on BOM trees matching for further analysis and verification. This novel method is less computationally complex than available state-of-the-art algorithms.

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