scholarly journals Theory of technical systems and engineering design synthesis

2002 ◽  
pp. 49-66 ◽  
Author(s):  
Vladimir Hubka ◽  
W. Ernst Eder
2013 ◽  
Vol 460 ◽  
pp. 73-80 ◽  
Author(s):  
Jaroslav Šeminský

Paper is focused to the development in designing of technical systems and present methodology approaches. For a long time, engineering design research has been focused on the development of various design theories, methodologies, methods, tools, and procedures. Engineers to more efficiently design artefacts have subsequently used that design methods. However, as the artefacts have grown in complexity, the need for new methods has become obvious. Also, in a nowadays world, increased competition and globalisation require organizations to re-examine traditional product development strategies. While the difficulties in design synthesis are caused by a wide variety of issues, the complicatedness under problem size is so essential that it make procedural design knowledge insufficient to generate superior design solutions.


Author(s):  
W. Ernst Eder

Abstract Following on from a paper presented at a previous Design Automation Conference (Eder 1986), this paper outlines some of the more recent insights concerning engineering design that have been developed by a small international group. Some of the models of designing and technical systems have been improved. A morphology of knowledge about designing and technical systems has been proposed, and extended to a morphology of knowledge itself. Some consequences are drawn from these developments, and summarized in this paper.


Author(s):  
Julian R. Eichhoff ◽  
Felix Baumann ◽  
Dieter Roller

In this paper we demonstrate and compare two complementary approaches to the automatic generation of production rules from a set of given graphs representing sample designs. The first approach generates a complete rule set from scratch by means of frequent subgraph discovery. Whereas the second approach is intended to learn additional rules that fit an existing, yet incomplete, rule set using genetic programming. Both approaches have been developed and tested in the context of an application for automated conceptual engineering design, more specifically functional decomposition. They can be considered feasible, complementary approaches to the automatic inference of graph rewriting rules for conceptual design applications.


Author(s):  
Stephen C.-Y. Lu ◽  
Satish T. S. Bukkapatnam ◽  
Ping Ge ◽  
Nanxin Wang

Abstract Design efficiency and robustness at early stage of parametric engineering design play a critical role in reducing cycle time and improving product quality in the overall product development process. Usually, the “forward mapping” approach, is used to find designs, where the desirable performances are satisfied through large iterations of analysis and evaluation from design space to performance space. However, these approaches are time-consuming and involve blind search if the engineering system simulation models and/or initial conditions are not appropriately selected. On the other hand, common “reverse engineering” methods use domain-specific assumptions and are not effective in generic scenarios where the presumed conditions are violated. In this paper, a Backward Mapping Methodology for Design Synthesis (BMDS) is presented that can help conduct design synthesis rapidly and robustly at early stage of parametric engineering design. BMDS is a surrogate model-based approach that combines the strengths of metamodeling and statistics. It can help designers explicitly identify the robust design solutions that satisfy the designer-specified performance requirements through a “backward mapping” from the performance space directly to the design space. Preliminary case studies show its effectiveness and potential to be used as a generic early stage parametric design synthesis methodology in the future.


Author(s):  
W. Ernst Eder

‘Design’ can be a noun, or a verb. Six paths for research into engineering design (as verb) are identified, they must be co-ordinated for internal consistency and plausibility. Design Research tries to clarify design processes and their underlying theories – designing in general, and particular forms, e.g. design engineering. Theories are a basis for deriving theory- based design methods. Design engineering and artistic forms of designing, industrial design, have much in common, but also differences. For an attractive and user-friendly product, its form (observable shape) is important – a task for industrial designers, architects, etc. ‘Conceptualizing’ consists of preliminary sketches, a direct entry to hardware – industrial designers work ‘outside inwards’. For a product that should work and fulfill a purpose, perform a transformation process, its functioning and operation are important – a task for engineering designers. Anticipating and analyzing a capability for operation is a role of the engineering sciences. The outcome of design engineering is a set of manufacturing instructions, and analytical verification of anticipated performance. Design engineering is more constrained than industrial design, but in contrast has available a theory of technical systems and its associated engineering design science, with several abstract models and representations of structures. Engineering designers tend to be primary for technical systems, and their operational and manufacturing processes – they work ‘inside outwards’. Hubka’s theory, and consequently design metho- dology, includes consideration of tasks of a technical system, typical life cycle, duty cycle, classes of properties (and requirements), mode of action, development in time, and other items of interest for engineering design processes. Hubka’s methodology is demonstrated by several case examples.


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