Knowledge-based functional conceptual design: Model, representation, and implementation

Abstract

Conceptual design is thus crucial to define new creative products. During conceptual design process, knowledge derivate from different domains is required to achieve a creative design. However, most of the design models restrict their representation to a specific domain. Knowledge representation for multidisciplinary is still an incipient issue for engineering design researchers. Moreover, to increase the robustness of design resolutions is another problem obsessing designers. This article proposes an adapted Gero's Function-Behavior-State model (Requirement-Function-Behavior-Principle solutions) to aid creative design activities during conceptual design stage by introducing an integrated cross-domain knowledge representation methodology, to increase robustness by reusing existing cases knowledge through retrieval algorithm, and to realize effectiveness by putting forward a design synthesis methodology. Finally, a prototype system named knowledge-based innovative conceptual design system is developed to implement our approaches, and effectiveness of the proposed model is illustrated with a detailed example related to the design of eye movement apparatus incorporated with oculomotor machine of vision prosthesis for acquired blindness, with an overall design procedure classified.

Design considerations and their effects on the operation and maintenance cost in solar‐powered desalination plants

“…There are many methodologies link between design and operation, such as knowledge‐based (KB) methodology . KB methodology has been utilized widely for engineering purpose and manufacturing and design purposes . KB depending on a number of contributing elements in maintenance strategy and operations.…”

Research on new creative conceptual design system using adapted case-based reasoning technique

“…Table 4 presents the comparison of the proposed method and other related methods, for example, traditional CBR (TCBR; Yang & Chen, 2011), multiagent based CBR (MCBR; Epstein et al, 2013), genetic algorithm based CBR (GCBR; Yang & Wang, 2008), requirement function behavior principle solutions (Ma et al, 2013), and CFKM based CBR (Hu et al, 2012). Table 4 shows that MCBR, GCBR, CFKM and the proposed method perform better than TCBR in all evaluation indexes.…”

Modelling knowledge transfer: A knowledge dynamics perspective

“…Furthermore, design being a cognitive process (Ma et al, 2013), it also involves logical reasoning and complex cognitive operations in which knowledge plays a key role. This knowledge can be of different nature, including technical or organisational, declarative or procedural, theoretical or resulting from practice.…”