Substance field analysis and biological functions

Yael Helfman Cohen; Yoram Reich; Sara Greenberg

doi:10.1016/j.proeng.2015.12.416

Substance field analysis and biological functions

Yael Helfman Cohen, Yoram Reich, Sara Greenberg

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Various efforts have been done so far to develop ontology for engineering functions in order to support functional modeling in design processes. The efforts focused on identifying a minimal set of functions that did not overlap and yet encompass the space of designed products. In this study, we use Substance Field analysis of biological systems acting in various fields and environments to define an ontology for biological functions. Comparing our ontology for biological functions, derived from the Su-Field analysis, to other ontologies for engineering functions reveals similarity and suggests an efficient generalization of system function ontologies. The process of the Su-Field analysis is provided together with examples and demonstrations. The implication of the results for functional modeling design in general and for biomimetic design in particular is further discussed.

Original language	English
Pages (from-to)	372-376
Number of pages	5
Journal	Procedia Engineering
Volume	131
DOIs	https://doi.org/10.1016/j.proeng.2015.12.416
State	Published - 2015
Event	World Conference: TRIZ FUTURE 2011-2014 - Lausanne, Switzerland Duration: 29 Oct 2014 → 31 Oct 2014

Keywords

Biomimetic design
Functional modeling
Generic functions
Ontology of functions
Substance-field analysis

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10.1016/j.proeng.2015.12.416

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title = "Substance field analysis and biological functions",

abstract = "Various efforts have been done so far to develop ontology for engineering functions in order to support functional modeling in design processes. The efforts focused on identifying a minimal set of functions that did not overlap and yet encompass the space of designed products. In this study, we use Substance Field analysis of biological systems acting in various fields and environments to define an ontology for biological functions. Comparing our ontology for biological functions, derived from the Su-Field analysis, to other ontologies for engineering functions reveals similarity and suggests an efficient generalization of system function ontologies. The process of the Su-Field analysis is provided together with examples and demonstrations. The implication of the results for functional modeling design in general and for biomimetic design in particular is further discussed.",

keywords = "Biomimetic design, Functional modeling, Generic functions, Ontology of functions, Substance-field analysis",

author = "Cohen, {Yael Helfman} and Yoram Reich and Sara Greenberg",

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AU - Cohen, Yael Helfman

AU - Reich, Yoram

AU - Greenberg, Sara

PY - 2015

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N2 - Various efforts have been done so far to develop ontology for engineering functions in order to support functional modeling in design processes. The efforts focused on identifying a minimal set of functions that did not overlap and yet encompass the space of designed products. In this study, we use Substance Field analysis of biological systems acting in various fields and environments to define an ontology for biological functions. Comparing our ontology for biological functions, derived from the Su-Field analysis, to other ontologies for engineering functions reveals similarity and suggests an efficient generalization of system function ontologies. The process of the Su-Field analysis is provided together with examples and demonstrations. The implication of the results for functional modeling design in general and for biomimetic design in particular is further discussed.

AB - Various efforts have been done so far to develop ontology for engineering functions in order to support functional modeling in design processes. The efforts focused on identifying a minimal set of functions that did not overlap and yet encompass the space of designed products. In this study, we use Substance Field analysis of biological systems acting in various fields and environments to define an ontology for biological functions. Comparing our ontology for biological functions, derived from the Su-Field analysis, to other ontologies for engineering functions reveals similarity and suggests an efficient generalization of system function ontologies. The process of the Su-Field analysis is provided together with examples and demonstrations. The implication of the results for functional modeling design in general and for biomimetic design in particular is further discussed.

KW - Biomimetic design

KW - Functional modeling

KW - Generic functions

KW - Ontology of functions

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EP - 376

JO - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

Y2 - 29 October 2014 through 31 October 2014

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Substance field analysis and biological functions

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Keywords

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