Study on Modelling of the Product Design Knowledge Based on Functional Feature Partition

Author(s):  
Li Baotong ◽  
Hong Jun ◽  
Qiu Zhihui ◽  
Chen Yubao
2012 ◽  
Vol 538-541 ◽  
pp. 2990-2994
Author(s):  
Jun Zheng

In order to provide knowledge service more efficiently for complex mechanical product design, a knowledge organization model for complex mechanical product design knowledge based on the process modular approach was proposed. First, a general form, the knowledge instance, would be used to represent all forms of the knowledge for complex mechanical product design; then, based on the contents and features of the knowledge instances and the semantic relations in the domain ontology, the special collections of the knowledge instances which have related features would be composed to knowledge modules, and knowledge modules would be organized as a DAG(directed acyclic graph). The complex mechanical product design knowledge could be efficiently and completely queried based-on semantic according to the logical relationships expressed in the DAG.


2013 ◽  
Vol 300-301 ◽  
pp. 155-159 ◽  
Author(s):  
Guo Hai Zhang ◽  
Yu Sheng Li

This paper presents a new kind of retrieval and clustering solution for multiple disciplines design knowledge during complex product development. The main contributions of this study can be focused on four points: The first is to distinguish the concepts and contents of ontology theories and semantic web. The second is to map the distinction and relationship between concepts to similarity and correlation of product design knowledge. The substances of conceptual hierarchy are introduced and their formal descriptions are given in the article. The third is to explore the specific calculation methods for semantic similarity and relevancy using the above theories and approaches. Finally, a model for design knowledge retrieval if proposed, and the tactics for knowledge retrieval and clustering are given.


2021 ◽  
Vol 74 (74) ◽  
Author(s):  
Elisabetta Cianfanelli ◽  
Margherita Tufarelli ◽  
Maria Claudia Coppola

"Digital transformation (DX) drives transversal change, breaking disciplinary silos to transition to more sustainable paradigms through new ontological and epistemological frameworks. This has consequences on product design and development too: since DX concerns cultural and meaning shifts, it enhances product development as a high-intensity knowledge-based process. Thus, product design shifts into its “Advanced” stage, enacting transcendence and translation of different kinds of knowledge into future-oriented artefacts. This highlights new needs in the generation and transmission of Advanced Design knowledge stemming from future artefact production instances. By focusing on recent challenges rising in product design and development, this paper aims to discuss the cultural intermediation enacted by Advanced Design knowledge through the results of an applied research experience."


2006 ◽  
Vol 505-507 ◽  
pp. 505-510
Author(s):  
Jing Min Li ◽  
Jin Yao ◽  
Yong Mou Liu

Knowledge discovery in database (KDD) represents a new direction of data processing and knowledge innovation. Design is a knowledge-intensive process driven by various design objectives. Implicit knowledge acquisition is key and difficult for the intelligent design system applied to mechanical product design. In this study, the characteristic of implicit design knowledge and KDD are analyzed, a model for product design knowledge acquisition is set up, and the key techniques including the expression and application of domain knowledge and the methods of knowledge discovery are discussed. It is illustrated by an example that the method proposed can be used to obtain the engineering knowledge in design case effectively, and can promote the quality and intelligent standard of product design.


Author(s):  
Matt R. Bohm ◽  
Karl R. Haapala ◽  
Kerry Poppa ◽  
Robert B. Stone ◽  
Irem Y. Tumer

This paper describes efforts taken to further transition life cycle analysis techniques from the latter, more detailed phases of design, to the early-on conceptual phase of product development. By using modern design methodologies such as automated concept generation and an archive of product design knowledge, known as the Design Repository, virtual concepts are created and specified. Streamlined life cycle analysis techniques are then used to determine the environmental impacts of the virtual concepts. As a means to benchmark the virtual results, analogous real-life products that have functional and component similarities are identified. The identified products are then scrutinized to determine their material composition and manufacturing attributes in order to perform an additional round of life cycle analysis for the actual products. The results of this research show that enough information exists within the conceptual phase of design (utilizing the Design Repository) to reasonably predict the relative environmental impacts of actual products based on virtual concepts.


Author(s):  
Hyunmin Cheong ◽  
Wei Li ◽  
Francesco Iorio

This paper presents a novel application of gamification for collecting high-level design descriptions of objects. High-level design descriptions entail not only superficial characteristics of an object, but also function, behavior, and requirement information of the object. Such information is difficult to obtain with traditional data mining techniques. For acquisition of high-level design information, we investigated a multiplayer game, “Who is the Pretender?” in an offline context. Through a user study, we demonstrate that the game offers a more fun, enjoyable, and engaging experience for providing descriptions of objects than simply asking people to list them. We also show that the game elicits more high-level, problem-oriented requirement descriptions and less low-level, solution-oriented structure descriptions due to the unique game mechanics that encourage players to describe objects at an abstract level. Finally, we present how crowdsourcing can be used to generate game content that facilitates the gameplay. Our work contributes towards acquiring high-level design knowledge that is essential for developing knowledge-based CAD systems.


2010 ◽  
Vol 426-427 ◽  
pp. 366-370 ◽  
Author(s):  
H.B. Wu ◽  
Yuan Wei Liu

In this paper, we investigated the definition of product design knowledge, design knowledge origin characteristics and design knowledge formalized representation method, etc. We also established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery the knowledge modeling.


Sign in / Sign up

Export Citation Format

Share Document