Process concept for Carbon-Recrystallisation

RekCarb – Upcycle of carbon containing residuals and by-products through recrystallisation in molten metals

Initial Situation:

Surplus of C-residuals

  • Many carbon containing residuals are yet either burned or landfilled
  • The chemical potential of carbon containing residuals often remains unused, since economically feasible processes for the recycling of carbon containing residuals are not established.
  • Examples for C-containing residuals or by-products:
    • Polymeric residues
    • Carbon black

Shortage of C-nanomaterial

  • Carbon-nanomaterials have many desired properties
  • Possible applications are manifold:
    • Additive in composite materials
    • Functional component in coatings

Objectives:

  • Development of a new process concept for the manufacturing of carbon nano materials
  • Upcycle of residuals

Agenda:

  • Conceptual design and construction of an experimental setup for the re-crystallisation
  • Investigation of optimal conditions for recrystallisation of Carbon
    • Composition of the fusible alloy
    • Temperature control
    • Influence of feedstock material
  • Injection of carbon containing material
  • Conceptual design for the separation of the carbon nano material from the melt
  • Investigation of the chemical composition and morphology of the carbon nano material

Recommendation

InTEGrated – Development of innovative TEG systems

Background A huge amount of waste heat occurs during steel making processes which is given unused to the environment. Using […]

AeroRef – Reduction of energy demand in heating furnaces by new combination of aerogel and refractory

Initial situation Despite continuous improvements in thermal insulation in industrial furnaces, heat losses through the furnace walls are unavoidable Reduction […]

H2-Ziegel – Energy efficiency and lowering of emissions – usage of hydrogen in brick industry

Background The German government aims to reduce the GHG emissions in Germany by at least 55% by 2030 and to […]

s-X-AIPI – self-X Artificial Intelligence for European Process Industry digital transformation

The overall objective of s-X-AIPI is to research, develop and experiment an innovative toolset of custom trustworthy self-X AI technologies […]