From design practice to design science: the evolution of a career in design methodology research

Birkhofer, Herbert

doi:10.1080/09544828.2011.555392

Cited by 21 publications

(13 citation statements)

References 9 publications

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“…As a following step, the approaches can be expanded towards the entire life cycle in order to generate an integrated product (and process) development. These approaches are similar to [2,10,25], (Fig. 58), and focus on anticipating and influencing the entire process chain of the product life cycle during the product design process.…”

Section: New Manufacturing Integrated Design Approachesmentioning

confidence: 99%

Metal forming beyond shaping: Predicting and setting product properties

et al. 2015

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Section: New Manufacturing Integrated Design Approachesmentioning

confidence: 99%

Metal forming beyond shaping: Predicting and setting product properties

et al. 2015

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“…Hopfe and Hensen 2011;Struck, Hensen, and Kotek 2009;Wit 2001), and (3) probabilistic inverse modelling, proposed in this study. This approach is novel in this field and for design application, although a few studies have explored the application of inverse modelling in the field of building retrofit (Birkhofer 2011;Server et al 2011;Zhang et al 2015) or building stock energy data replication (Zhao 2012).…”

Section: High Level Of Uncertaintymentioning

confidence: 99%

A new approach to performance-based building design exploration using linear inverse modeling

Rezaee

Brown

Haymaker³

et al. 2018

Journal of Building Performance Simulation

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Despite the development of a large number of building performance simulation tools, designers still need a systematic framework appropriate for energy-oriented decision-making in the early stages of design. While the current workflow follows a "forward" modelling procedure in which simulation tools predict the performance of a design, this study proposes an "inverse" procedure that entails a performance objective that estimates design parameters. Using linear inverse modelling, this approach generates plausible ranges for design parameters given a preferred thermal performance. The paper begins by demonstrating that thermal demand in a particular building operation-and-climate condition can be expressed as a linear regression model and then, in two case-studies, uses the regression model to develop an inverse algorithm. After defining energy performance targets as input, users obtain a probabilistic estimate of design parameters as output that represents a large "menu" of feasible design solutions, provides confidence, and embodies the iterative nature of design.

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“…Evidence exists for the efficacy of the Pahl and Beitz [17] and VDI design methodologies, see Birkhofer [21]. Hubka's methodology is derived from his Theory of Technical Systems -Hubka strictly differentiated between the Theory of (existing) Technical Systems, and engineering design methodology for future transformation systems for which the process (not only manufacturing) and the technical system operator are to be designed (and from which appropriate methods, models and parts can be selected).…”

Section: Supporting Evidencementioning

confidence: 99%

Engineering Design vs. Artistic Design – A Discussion

Eder

2012

PCEEA

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‘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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From design practice to design science: the evolution of a career in design methodology research

Cited by 21 publications

References 9 publications

Metal forming beyond shaping: Predicting and setting product properties

Metal forming beyond shaping: Predicting and setting product properties

A new approach to performance-based building design exploration using linear inverse modeling

Engineering Design vs. Artistic Design – A Discussion

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