Physiological Concept: Visible Modeling for Feasible Design

Corinthias Pamatang Morgana Sianipar; Gatot Yudoko; Kiyoshi Dowaki

doi:10.4028/www.scientific.net/AMM.493.432

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 493Physiological Concept: Visible Modeling for...

Physiological Concept: Visible Modeling for Feasible Design

Abstract:

Conceptual design plays an important role in design stage as an initiation to interpret an abstract idea into a design concept. However, conceptual modeling in previous engineering designs provided premature detailed modeling. Such methodologies delivered almost pure quantitative techniques to do the modeling, which have made it difficult to do agile design process for specific-purposed products. Such products require unique approach for each situation. This paper proposes physiological concept modeling to overcome such phenomenon by combining process and functional modeling with qualitative interpretation. Physiological modeling incorporates derivation to transform idea into a design concept with almost no quantitative postulates. A case study on competition-based electric car is also provided to show an overview of application. The study concludes that there are seven steps required to do physiological modeling. The derivation can also bring flexibility for dynamic or continuous system by introducing cyclical & dynamic relationship between processes, including interventions from outside observed system and function of residue to accommodate side residues. By looking at previous techniques, this study brings a new light to produce design concept which is feasible but can be visibly modeled even by novice designers.

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Periodical:

Applied Mechanics and Materials (Volume 493)

Pages:

432-437

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.493.432

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Online since:

January 2014

Authors:

Corinthias Pamatang Morgana Sianipar, Gatot Yudoko, Kiyoshi Dowaki

Keywords:

Conceptual Design, Functional Modeling, Physiological Concept, Process Modeling, Qualitative

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References

[1] G. Pahl, W. Beitz, J. Feldhusen, K-H. Grote. Engineering design: A systematic approach, 3rd ed. Springer: Berlin, DE, (2007).

Google Scholar

[2] K.T. Ülrich, S.D. Eppinger. Product design and development, 5th ed. McGraw-Hill: New York, US, (2012).

Google Scholar

[3] M. Belaziz, A. Bouras, J.M. Brun. Morphological analysis for product design. Comput. Aided Des. 32 (2000) 377-388.

DOI: 10.1016/s0010-4485(00)00019-1

Google Scholar

[4] S-W. Hsiao, F-Y. Chiu, S-H. Lu. Product-form design model based on genetic algorithms. Ind. Ergonom. 40 (2010) 237-246.

Google Scholar

[5] R. Stone, K. Wood, R. Crawford. Using quantitative functional models to develop product architectures. Des. Stud. 21 (2000) 239-260.

DOI: 10.1016/s0142-694x(99)00008-3

Google Scholar

[6] R.L. Nagel, R. Hutcheson, D.A. McAdams, R. Stone. Process and event modelling for conceptual design. J. Eng. Design 22 (2011) 145-164.

DOI: 10.1080/09544820903099575

Google Scholar

[7] R. Meier, V. Chaill. Taxonomy of distributed event-based programming systems. Comput. J. 48 (2005) 602-626.

Google Scholar

[8] J. Westland. The project management life cycle. Kogan Page: London, UK, (2006).

Google Scholar

[9] S.B. Tor, et al. Guiding functional design through rule-based causal behavior reasoning. Int. J. Prod. Res. 40 (2002) 667–682.

Google Scholar

[10] C.P.M. Sianipar, H. Taufiq, H.R. Estiningtyas, K. Dowaki, A. Adhiutama, G. Yudoko. Materials selection in appropriate technology: Four focuses in design thinking. Adv. Mat. Res. (2013), inpress.

DOI: 10.4028/www.scientific.net/amr.789.379

Google Scholar

[11] G. Dieter. Engineering design: A materials and processing approach, 2nd ed. McGraw-Hill: NewYork, US, (1991).

Google Scholar

[12] C.P.M. Sianipar, G. Yudoko, K. Dowaki, A. Adhiutama. Design methodology for Appropriate Technology: Engineering as if people mattered. Working paper (2013). IA-TUS & SBM-ITB: Chiba, JP, & Bandung, ID.

DOI: 10.3390/su5083382

Google Scholar