239
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Proposal of a technical function grammar oriented to biomimetic

, , &
Pages 789-810 | Received 12 Aug 2010, Accepted 04 Jul 2011, Published online: 07 Sep 2011
 

Abstract

Knowledge transfer from biologists to engineers is one of the main obstacles to the diffusion of biomimetic. An approach to overcome this obstacle is presented and discussed. This approach is based on a construct to describe high-level engineering functions stored in a relational database together with a species grouping based on a functional classification, the corresponding biological solutions and the ‘official’ taxonomy. Several relationships among the keys allow extracting and organising the stored knowledge both from the engineering and from the biological point of view. An engineer can extract from this database all the biological solutions of a function formulated in the ‘engineer's language’, and then determine the more suitable solution for his/her specific problem.

Acknowledgements

The database has been realised in MicroSoft SQL Server 2008 Express Edition; the reports have been generated with Microsoft SQL Server 2008 Report Builder 2.0 and rendered in MicroSoft Internet Explorer 8 and in Google Chrome 11.0.696.65 (the reports can anyway be rendered in other browsers).

Taxonomical data have been obtained from several databases, all accessed through GBIF data portal http://us.mirror.gbif.org/welcome.htm

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 438.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.