Skip to main content
Log in

Genetics and intelligence: new approaches in production engineering

  • Production Management
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

Parts which inherently store data about their fabrication and find their own way through the production, or, machine components that autonomously monitor themselves and arrange inspections as required may still sound like a vision of the future. Nonetheless, in the Collaborative Research Centre 653 ‘Gentelligent Components in their Lifecycle—Utilisation of Inheritable Component Information in Production Engineering’ they will soon be a reality. Transferring characteristics that are similar to those found in nature to industrial production will lead to a paradigm shift in the development and manufacturing of prospective components. This paper presents the techniques and methods that enable this new approach in production engineering by transferring biological principles from the field of genetics into the manufacturing environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. ElMaraghy HA (2006) Flexible and reconfigurable manufacturing systems paradigms. Int J Flexible Manuf Syst 17(4):261–276

    Article  MATH  Google Scholar 

  2. Wiendahl H-P, ElMaraghy HA, Nyhuis P, Zäh MF, Wiendahl H-H, Duffie N, Brieke M (2007) Changeable manufacturing—classification, design and operation. Ann CIRP 56(2):783–809

    Article  Google Scholar 

  3. Zhou W (2009) RFID and item-level information visibility. Eur J Oper Res 198:252–258

    Article  MATH  Google Scholar 

  4. Kern C (2007) Anwendung von RFID-systemen, 2nd edn. Springer, Berlin

    Google Scholar 

  5. Kaldjob EB, Geck B (2008) Identification of metallic piece using integrated transponders, wireless congress 2008, systems and application, November 12–13, 2008

  6. Schmidt M, Wriggers FS, Fisser F, Nyhuis P (2007) Gentelligent parts: a decentralized information system for enterprises, IFIP international federation of information processing, research and practical issues of enterprise information systems II, In: Xu L et al (ed), vol 254, pp 125–134

  7. NN (2006) Manufuture strategic research Agenda, manufuture platform, http://www.manufuture.org. Accessed 5 May 2009

  8. NN (2009) Manufacturing the future—Federal priorities for manufacturing research and development, http://www.manufacturing.gov. Accessed 5 May 2009

  9. Kärkkäinen M, Holmström J, Främling K, Artto K (2003) Intelligent products—a step towards a more effective project delivery chain. Comput Ind 50:141–151

    Article  Google Scholar 

  10. Valckenaers P, Saint Germain B, Verstraete P, Van Belle J, Hadeli K, Van Brussel H (2009) Intelligent products: agere versus essere. Comput Ind 60:217–228

    Article  Google Scholar 

  11. Meyer G, Främling K, Holmstroöm J (2009) Intelligent products: a survey. Comput Ind 60:137–148

    Article  Google Scholar 

  12. Wong CY, McFarlane D, Zaharudin A, Agarawal V (2002) The intelligent product driven supply chain, Proceedings of IEEE systems man and cybernetics, Hammamet, Tunisia

  13. Denkena B, Boehnke D, Spille C, Dragon R (2008) In-process information storage in the surface by turning operation. Ann CIRP 57(1):85–88

    Article  Google Scholar 

  14. Mroz G, Reimche W, Bach Fr-W (2008) Acquisition of discrete component and loading information in the component’s edge region using innovative sensor technology, 4th I*PROMS virtual international conference on innovative production machines and systems, pp 431–436

  15. Behrens B-A, Lange F, Gastan E (2008) Experimental and numerical analysis of a marking approach for sintered light alloy components, Powder Metallurgy, 51(3):277–282, Maney Publishing, Leeds (United Kingdom)

  16. Behrens B-A, Weilandt K, Voges-Schwieger K, Kamp M (2008) The alpha’-martensite evolution—mathematical formulation and application to an early detection of damage in sheet metal components, 6th European stainless steel conference science and market, Helsinki (Finland), pp 311–316

  17. Bach Fr-W, Schaper M, Bormann D, Reimche W, Rodman M (2008) Investigation of magnetic magnesium alloys, 4th I*PROMS virtual international conference on innovative production machines and systems, pp 477–480

  18. Wu K-W, Traisigkhachol O, Gatzen HH (2008) A concept for magnetic data recording on genetically intelligent (“Gentelligent”) Components, EUROMAT 2007, 5(11):3547–3550, Physica status solidi, Wiley

  19. Hansen S, Rissing L, Gatzen HH (2007) A concept for a toolbox of components for modular magnetic microsensors. Symposium on magnetic materials, processes and devices, 210th meeting of the electrochemical society, ecs transactions 3(25):235–246

  20. Dumke M, Fahlbusch T, Overmeyer L (2008) Advanced production of direct applied wave guides, 4th I*PROMS virtual international conference on innovative production machines and systems, pp 437–441

  21. Kaldjob EB, Geck B, Eul H (2008) Field powered 5.8 GHz ISM band transponder for sensors integrated in metallic objects, 38th European microwave conference (EUMC)

  22. Denkena B, Henjes J, Lorenzen L-E (2008) An ontology aided process planning system for gentelligent production, proceedings of the 6th CIRP international conference on intelligent computation in manufacturing engineering (CIRP ICME ‘08), 23–25 July 2008, Naples, Italy, pp 67–74

  23. Denkena B, Schmidt C (2007) Experimental investigations and simulation of machining thin-walled workpieces. Prod Eng 1(4):343–350

    Article  Google Scholar 

  24. Denkena B, Möhring H-C, Litwinski K (2008) Design of dynamic multi sensor systems. Prod Eng 2(3):327–331

    Article  Google Scholar 

  25. NN (2007) Annual Report 2007. German Federal Motor Transport Authority

Download references

Acknowledgments

The results presented in this paper were obtained within the framework of the Collaborative Research Center 653 “Gentelligent Components in their Lifecycle”. The authors would like to thank the German Research Foundation for its financial and organisational support of this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leif-Erik Lorenzen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Denkena, B., Henning, H. & Lorenzen, LE. Genetics and intelligence: new approaches in production engineering. Prod. Eng. Res. Devel. 4, 65–73 (2010). https://doi.org/10.1007/s11740-009-0191-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-009-0191-z

Keywords

Navigation