Within the scope of the second phase of the Collaborative Research Centre 653 a definition of Technical Inheritance as a transfer of assembled and verified information from production and application to the next product generation has been composed.

According to the biological principles of transfer of the hereditary information and based on evolutionary mechanisms and variations of information transfer the Technical Inheritance process for Gentelligent Components can be described.

The biggest challenges are:

  • definition of terms and interfaces between the CRC-subprojects in regard to genetic and intelligence
  • description of information transfer processes
  • construction of an evolutionary CRC-subprojects based development process


Currently, within the scope of research of inheritance principles in technical systems the terminology for description of different aspects of gentelligence will be elaborated.

Table 1. Terminology of Technical Evolution
TermDefinition

Gentelligent Components

Components with genetic and intelligent properties with the ability to collect information during their life cycle, to store and/or to communicate
Technical EvolutionTechnical Evolution is a process of control, stepwise and continuous change of technical systems, products and processes as well as models with the aim to adapt to influences and requirements
IndividualThe individual is the smallest considered technical system, product, process or model in a population
GenerationThe generation is a group of individuals with the same level of development
PopulationThe population consists of all generations of individuals of a technical system, product and process as well as a model at the current time
Technical SelectionSelection process based on multiple criteria a requirement profile
Technical MutationA process with targeted or non-targeted character to create variants with resulting modified properties

Major focus of the working group in the third phase are the technical inheritance of information for future generations and machine learning during the life cycle of a product. These information are generated from the life cycle as well as the production process and are used to make both the product and the manufacturing appropriate and efficient. An adaptation process is realized by returning the verified accumulated life cycle information from new generations of components to design and manufacturing.
Based on the introduced terminology the working group analyses the processes of the transfer of information in view of the trends of the industry 4.0 and develops the theory of the Technical Inheritance.  

WG-Leader

Prof. Dr.-Ing. Roland Lachmayer
Executive Director
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Address
An der Universität 1
30823 Garbsen
Building
Room
319