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Multi-target optimised and fully automated component development for additive manufacturing processes in the product development process

Management Agency/Funding: Federal Ministry of Education and Research (BMBF)

Project Management Agency: Karlsruhe (PTKA)

Topic: "Additive Manufacturing - Individualized Products, Complex Mass Products, Innovative Materials (ProMat_3D)".

Duration: 01/2017 - 12/2019

At the C.I.K. the following doctoral thesis resulted from this project: “Methodik zur prozessbasierten Technologieintegration der Additiven Fertigung in Unternehmen“ by Johannes Rohde, 11.10.2019.


Due to high constructive freedoms, additive manufacturing processes are gaining increasing interest in industry and research. For example, the VDI confirms that the technology is of outstanding importance for Germany as a business location: additive manufacturing processes promote the implementation of the Industry 4.0 strategy, secure jobs, shorten transport routes and offer opportunities for new business models. At the same time, the industrial applicability of additive manufacturing processes has so far been rather low due to various limiting factors. For the industrial application of AM knowledge within the strategic product planning, software for AM-compliant design as well as methods for interdisciplinary cooperation in product development, which take a holistic view from the idea to the products as well as the entire process, are missing.


Addressing these problems, the aim of the project "OptiAMix" is the multi-target-optimized and fully automated component development for additive manufacturing processes throughout the product development process. In order to be able to carry out a multi-target optimization with regard to diverging factors, such as low costs or a load-oriented design, a new software tool is developed for AM-compliant design in terms of technology, post processing, load and cost and combined with known software tools. Thus, the increasing product complexity can be mastered and a high level of data security can be guaranteed. At the same time, methods will be developed and consolidated to generate and use the relevant information; these include, for example, the potential estimation of additive manufacturing processes, design guidelines as well as process and material parameters, which are needed for the requirement-oriented, automated design and thus considerably shorten the design time. The process chain itself is also considered within OptiAMix, a standardized and optimized solution is developed together with the project partners, and a methodology for the integration of additive manufacturing into the existing processes of the companies is developed.



  • Strategic-technical requirements and product portfolio analysis
  • Integration of additive manufacturing into the product development process

Software tools:

  • Software tool for automated multi-target optimized component design
  • Software tool to support interdisciplinary cooperation


  • Transfer of methods and tools into industrial practice
  • Establishment of production processes in the companies

Research at C.I.K.

  • Development of a tool for selecting suitable component candidates
  • Development of a method for component marking
  • Development of an integrated tool to support the cooperation of the corporate divisions

This research and development project is funded by the German Federal Ministry of Education and Research (BMBF) within the program “Innovations for Tomorrow’s Production, Services, and Work” (funding number 02P158131) and managed by the Project Management Agency Karlsruhe (PTKA). The author is responsible for the contents of this publication.

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