Biomimetics: process, tools and practice

Biomimetics applies principles and strategies abstracted from biological systems to engineering and technological design. With a huge potential for innovation, biomimetics could evolve into a key process in businesses. Yet challenges remain within the process of biomimetics, especially from the perspective of potential users. We work to clarify the understanding of the process of biomimetics. Therefore, we briefly summarize the terminology of biomimetics and bioinspiration. The implementation of biomimetics requires a stated process. Therefore, we present a model of the problem-driven process of biomimetics that can be used for problem-solving activity. The process of biomimetics can be facilitated by existing tools and creative methods. We mapped a set of tools to the biomimetic process model and set up assessment sheets to evaluate the theoretical and practical value of these tools. We analyzed the tools in interdisciplinary research workshops and present the characteristics of the tools. We also present the attempt of a utility tree which, once finalized, could be used to guide users through the process by choosing appropriate tools respective to their own expertize. The aim of this paper is to foster the dialogue and facilitate a closer collaboration within the field of biomimetics.

[1]  Cynthia J. Atman,et al.  Educating effective engineering designers: the role of reflective practice , 2003 .

[2]  Ashok K. Goel,et al.  Information-Processing Theories of Biologically Inspired Design , 2014 .

[3]  Ashok K. Goel,et al.  Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[4]  Ashok K. Goel,et al.  Understanding Complex Natural Systems by Articulating Structure-Behavior-Function Models , 2011, J. Educ. Technol. Soc..

[5]  Ben Shneiderman,et al.  Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies , 2006, BELIV '06.

[6]  L. H. Shu,et al.  Biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[7]  Robert L. Nagel,et al.  Abstracting biology for engineering design , 2011 .

[8]  Ashok K. Goel,et al.  DANE: Fostering Creativity in and through Biologically Inspired Design , 2011 .

[9]  Ashok K. Goel,et al.  The Four-Box Method: Problem Formulation and Analogy Evaluation in Biologically Inspired Design , 2014 .

[10]  Wayne A. Nelson.  Problem Solving through Design. , 2003 .

[11]  Ashok K. Goel,et al.  Biologically-Inspired Innovation in Engineering Design: a Cognitive Study , 2007 .

[12]  Michael L. Tushman,et al.  Technical Communication in R & D Laboratories: The Impact of Project Work Characteristics , 1978 .

[13]  Amaresh Chakrabarti,et al.  Assessing design creativity , 2011 .

[14]  T. M. Amabile.  The social psychology of creativity: A componential conceptualization. , 1983 .

[15]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[16]  John Terninko.  Systematic Innovation: An Introduction to TRIZ (Theory of Inventive Problem Solving) , 2017 .

[17]  Thomas Speck,et al.  Process Sequences In Biomimetic Research , 2008 .

[18]  A. Link,et al.  Toward a model of the effective transfer of scientific knowledge from academicians to practitioners: qualitative evidence from the commercialization of university technologies. , 2004 .

[19]  Taiichi Ohno,et al.  Toyota Production System : Beyond Large-Scale Production , 1988 .

[20]  Fabrice Thiebaud,et al.  Formalisation et développement de la phase de résolution de problème en conception industrielle , 2003 .

[21]  Amaresh Chakrabarti,et al.  A functional representation for aiding biomimetic and artificial inspiration of new ideas , 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[22]  L. H. Shu,et al.  Biologically Meaningful Keywords for Functional Terms of the Functional Basis , 2011 .

[23]  Nicolas Maranzana,et al.  Testing the value of TRIZ and its derivatives for knowledge transfer in problem solving attempts by multidisciplinary teams , 2013 .

[24]  Kim B. Clark,et al.  Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of , 1990 .

[25]  Usama Kadri,et al.  A methodology for the generation of biomimetic design concepts , 2015 .

[26]  Anne P. Massey,et al.  Understanding and facilitating group problem structuring and formulation: Mental representations, interaction, and representation aids , 1996, Decis. Support Syst..

[27]  J. Vincent,et al.  Systematic technology transfer from biology to engineering , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[28]  J. Vincent,et al.  Biomimetics: its practice and theory , 2006, Journal of The Royal Society Interface.

[29]  Jacquelyn K. S. Nagel,et al.  Function-Based Biologically Inspired Design , 2014 .

[30]  Nathan F. Lepora,et al.  The state of the art in biomimetics , 2012, Living Machines.

[31]  Jami J. Shah,et al.  Evaluation of idea generation methods for conceptual design: Effectiveness metrics and design of experiments , 2000 .

[32]  Ille C. Gebeshuber,et al.  An attempt to reveal synergies between biology and mechanical engineering , 2008 .

[33]  Udo Lindemann,et al.  ENGINEERING DESIGN USING BIOLOGICAL PRINCIPLES , 2004 .

[34]  Armand Hatchuel,et al.  A theoretical analysis of creativity methods in engineering design: casting and improving ASIT within C–K theory , 2012 .

[35]  Vincent Nolan.  The Innovator's Handbook: The Skills of Innovative Management: Problem Solving, Communication and Teamwork , 1989 .

[36]  D. Dougherty.  Interpretive Barriers to Successful Product Innovation in Large Firms , 1992 .

[37]  Shoshanah R. Jacobs,et al.  “Where Are We Now and Where Are We Going?” The BioM Innovation Database , 2014 .

[38]  Ashok K. Goel,et al.  Compound Analogical Design: Interaction between Problem Decomposition and Analogical Transfer in Biologically Inspired Design , 2008 .

[39]  David H. Jonassen,et al.  Instructional design models for well-structured and III-structured problem-solving learning outcomes , 1997 .

[40]  A. Chakrabarti,et al.  TOWARDS A MEASURE FOR ASSESSING CREATIVE INFLUENCES OF A CREATIVITY TECHNIQUE , 2003 .

[41]  W. Barthlott,et al.  Fog collecting biomimetic surfaces: Influence of microstructure and wettability , 2015, Bioinspiration & biomimetics.

[42]  Adrian Bowyer,et al.  Putting Biology into TRIZ: A Database of Biological Effects , 2005 .

[43]  Ashok K. Goel,et al.  Biologically inspired design: process and products , 2009 .

[44]  L. H. Shu,et al.  A natural-language approach to biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[45]  G. S. Alʹtshuller,et al.  And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving , 1996 .

[46]  H. Simon,et al.  Selective perception: A note on the departmental identifications of executives. , 1958 .

[47]  R. Merton,et al.  Genesis and development of a scientific fact , 1979 .

[48]  John D. Bransford,et al.  The ideal problem solver. A guide for improving thinking, learning, and creativity , 1984 .

[49]  Andy Coghlan,et al.  Art of thought , 2018 .

[50]  F T Malik,et al.  Nature's moisture harvesters: a comparative review , 2014, Bioinspiration & biomimetics.

[51]  Jacquelyn K. S. Nagel,et al.  An Engineering-to-Biology Thesaurus for Engineering Design , 2010 .

[52]  Semyon Savransky,et al.  Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving , 2000 .

[53]  Denis Cavallucci,et al.  INTUITIVE DESIGN METHOD (IDM), A NEW APPROACH ON DESIGN METHODS INTEGRATION , 2000 .

[54]  S. Isaksen,et al.  Creative Problem Solving: The Basic Course , 1985 .

[55]  A. Terry Bahill,et al.  The design-methods comparison project , 1998, IEEE Trans. Syst. Man Cybern. Part C.

[56]  Gaetano Cascini,et al.  UNO-BID: unified ontology for causal-function modeling in biologically inspired design , 2015 .

[57]  Eugene Bardach,et al.  A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving , 2019 .

[58]  Robert L. Nagel,et al.  Function-based, biologically inspired concept generation , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[59]  E. Snell-Rood,et al.  Interdisciplinarity: Bring biologists into biomimetics , 2016, Nature.

[60]  Denis Cavallucci,et al.  Integrating Altshuller's development laws for technical systems into the design process , 2001 .

[61]  Amaresh Chakrabarti,et al.  A methodology for supporting “transfer” in biomimetic design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[62]  Julie S. Linsey,et al.  Concepts in Biomimetic Design: Methods and Tools to Incorporate Into a Biomimetic Design Course , 2011 .