Potentials of numerical methods for increasing the productivity of Additive Manufacturing processes

Research output: Contribution to journalResearch articleInvitedpeer-review


  • Uwe Scheithauer - , Fraunhofer Institute for Ceramic Technologies and Systems (Author)
  • Tetyana Romanova - , Chair of Numerical Optimization, A. Pidhornyi Institute of Mechanical Engineering Problems (Author)
  • Oleksandr Pankratov - , A. Pidhornyi Institute of Mechanical Engineering Problems (Author)
  • Eric Schwarzer-Fischer - , Fraunhofer Institute for Ceramic Technologies and Systems (Author)
  • Martin Schwentenwein - , Lithoz Gmbh (Author)
  • Florian Ertl - , Lithoz Gmbh (Author)
  • Andreas Fischer - , Chair of Numerical Optimization, Institute of Numerical Mathematics (Author)


Thanks to the layer-by-layer creation of components, additive manufacturing (AM) processes enable the flexible production of components with highly complex geometries, that were previously not realizable or only with very great effort. While AM technologies are very widespread in the research sector, they have so far only been used industrially in a few individual areas of application. The manufacturing costs are one reason for this. In this work, a new approach for the optimized arrangement of components in the building box and its potential for reducing the manufacturing costs are presented, illustrated by a selected example, and a discussion. Three types of cylinders, which differ in geometry and/or inclination, are required in quantities of around 1000 each. The optimization aims at an arrangement with the smallest possible number of printing jobs. Compared to the solution obtained by the current automatic software tool that is based on the bounding box method, the optimized arrangement leads to a 70% increase in the number of components on a building platform or, in other words, to a 44% reduction in the number of building platforms needed to manufacture 980 components of each type. Finally, a three-step method is proposed, to optimize the manufacturing preparation for AM components automatically in the future.


Original languageEnglish
Pages (from-to)630-650
Number of pages21
Issue number1
Publication statusPublished - Mar 2023

External IDs

Scopus 85151127173
WOS 000954025300001
Mendeley f0f81f77-9852-39c3-b341-45e0eb5006f7


Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis


  • Additive manufacturing, CerAM VPP, CerAMfacturing, Ceramics, Component arrangement, Optimization, Phi-function, Productivity, vat photopolymerization (VPP), ceramics, phi-function, additive manufacturing, productivity, optimization, component arrangement