An Improved Axiomatic Design Approach in Distributed Resource Environment, Part 1: Toward Functional Requirements to Design Parameters Transformation

Abstract How to transform Functional Requirements (FRs) into Design Parameters (DPs) plays a key role in using the Axiomatic Design (AD) theory. However, the AD theory does not provide such an approach to support the transformation from FRs to DPs. As the meantime, there is a trend to use internet-based knowledge service in a distributed resource environment to efficiently generate a design concept. The authors aim at developing an improved axiomatic design approach. This approach consists of two parts, part 1 built a new model for the transformation from FRs to DPs in a distributed resource environment; part 2 proposed an achieving algorithm for the generation of Function unit chain sets (FUCSs). The studies are based on a hypothesis that almost all of the FRs can be met by a function unit set. The DPs of each Function Unit (FU) are provided by knowledge service suppliers. In such a distributed resource environment, designers only need to search function units via their inputs and outputs and integrate them into a concept solution to meet a functional requirement. This paper firstly defined the basic definitions of Functional Requirements (FRs), Functions (Fs), Function Units (FUs), Function unit sets (FUSs), Function unit chain sets (FUCSs) and Design Parameters (DPs), then described the transformation process in detail, thirdly, proposed principle forms for calculating the outputs in FUSs, finally, used a case study to illustrate the proposed approach by analyzing the design process of a friction-abrasion testing machine.

[1]  Nam P. Suh,et al.  Axiomatic Design Theory for Systems , 1998 .

[2]  Gang Liu,et al.  Modeling the knowledge flow network for collaborative design process , 2013 .

[3]  Amaresh Chakrabarti,et al.  An approach to functional synthesis of solutions in mechanical conceptual design. Part II: Kind synthesis , 1996 .

[4]  Tetsuo Tomiyama,et al.  A review of function modeling: Approaches and applications , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[5]  Crispin Hales,et al.  Engineering design: a systematic approach , 1989 .

[6]  N. P. Suh.  Axiomatic design of software systems , 2000 .

[7]  Xie,et al.  Four basic laws in design science , 2014 .

[8]  Mary Kathryn Thompson,et al.  Improving the requirements process in Axiomatic Design Theory , 2013 .

[9]  N. Suh.  Designing-in of Quality Through Axiomatic Design , 2004 .

[10]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[11]  Ashish D. Deshpande,et al.  On Integration of Additive Manufacturing During the Design and Development of a Rehabilitation Robot: A Case Study , 2015 .

[12]  Lin Tang,et al.  An approach to function identification in automated conceptual design of mechanism systems , 2008 .

[13]  Vishwa Kalyanasundaram,et al.  A Function Based Approach for Product Integration , 2014 .

[14]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[15]  Weiming Shen,et al.  Collaborative conceptual design - state of the art and future trends , 2002, Comput. Aided Des..

[16]  Ang Liu,et al.  A crowdsourcing design framework for concept generation , 2016 .

[17]  Wei Chen,et al.  Physical Quantity Vocabulary for Functional Representation , 2015 .

[18]  Harish Hirani,et al.  Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches , 2005 .

[19]  C. H. Yeh,et al.  Integration of four-phase QFD and TRIZ in product R&D: a notebook case study , 2011 .

[20]  Xiang Li,et al.  A novel semi-heuristic planning approach for automated conceptual design synthesis , 2013 .

[21]  Cengiz Kahraman,et al.  Applications of axiomatic design principles: A literature review , 2010, Expert Syst. Appl..

[22]  Ang Liu,et al.  A new coevolution process for conceptual design , 2015 .