Conceptual design of technical systems using functions and physical laws

Since the operation of technical systems can be explained using physical laws, why then might we not use them explicitly in designing these systems? The characteristic initial binding variable, with which appropriate physical laws are sought, first needs to be extracted from the function of the future technical system. If there are several appropriate physical laws (i.e., operators), we evaluate them using the Analytic Hierarchy Process (AHP) method. The most suitable is then selected with regard to the chosen criteria based on design requirements. When one physical law is not sufficient for the design of a technical system, several laws are linked together using binding variables to form a conceptual chain (i.e., macro-operator). Such a chain does not only contain supporting physical laws; physical laws indirectly introduce basic models of shape, their basic topology, geometry, and basic material properties into the chain. A prototype computer-aided design system is based on the prescriptive conceptual design model presented below.

[1]  Vladimir Hubka Theorie der Konstruktionsprozesse , 1976 .

[2]  R. L. Weber,et al.  Similarities in Physics , 1982 .

[3]  Kenneth D. Forbus Qualitative Process Theory , 1984, Artif. Intell..

[4]  Bogdan Filipič Prolog user's handbook: a library utility programs , 1988 .

[5]  Ivan Bratko,et al.  KARDIO - a study in deep and qualitative knowledge for expert systems , 1989 .

[6]  J. Duhovnik,et al.  Systematic design in intelligent CAD systems , 1989 .

[7]  Brian Charles Williams,et al.  Invention from first principles via topologies of interaction , 1989 .

[8]  Ingo Br,et al.  Prolog programming for artificial intelligence , 1990 .

[9]  Brian C. Williams,et al.  Interaction-based Design: Constructing Novel Devices from First Principles , 1991, IntCAD.

[10]  Stuart Pugh,et al.  Total Design: Integrated Methods for Successful Product Engineering , 1991 .

[11]  Roman Zavbi,et al.  Expert systems in conceptual phase of mechanical engineering design , 1992, Artif. Intell. Eng..

[12]  Clive L. Dym,et al.  Engineering Design: A Synthesis of Views , 1994 .

[13]  D. Whitney,et al.  Electro-mechanical Design in Europe: University Research and Industrial Practice , 1995 .

[14]  Roman Zavbi,et al.  Design environment for the design of mechanical drive units , 1995, Comput. Aided Des..

[15]  Mark Stefik,et al.  Introduction to knowledge systems , 1995 .

[16]  M Ishii,et al.  A Synthetic Reasoning Method Based on a Physical Phenomenon Knowledge Base , 1996 .

[17]  Daniel E Whitney State of the art in Japanese CAD methodologies for mechanical products : industrial practice and university research , 1996 .

[18]  L. K. Alberts,et al.  Innovative Design Based on Sharable Physical Knowledge , 1996 .

[19]  Roman Žavbi,et al.  The Analytic Hierarchy Process and Functional Appropriateness of Components of Technical Systems , 1996 .

[20]  Takashi Kiriyama,et al.  An approach to automated synthesis of solution principles for micro-sensor designs , 1997 .

[21]  John S. Gero,et al.  Computational models of creative design IV , 1999 .

[22]  Jože Duhovnik,et al.  Model of Conceptual Design Phase and Its Applications in the Design of Mechanical Drive Units , 2000 .

[23]  Ivan Bratko,et al.  Prolog (3rd ed.): programming for artificial intelligence , 2000 .