Systems and methods for formulating material in a data-driven manner

Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and...

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Main Authors von Vacano, Bernhard Ulrich, Foshey, Michael J, Matusik, Wojciech, Goetzke, Hanns Hagen, Shou, Wan, Lukovic, Mina Konakovic, Stoll, Klaus, Erps, Timothy P
Format Patent
LanguageEnglish
Published 12.09.2023
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Abstract Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
AbstractList Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
Author Foshey, Michael J
Lukovic, Mina Konakovic
Erps, Timothy P
Matusik, Wojciech
Shou, Wan
von Vacano, Bernhard Ulrich
Goetzke, Hanns Hagen
Stoll, Klaus
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– fullname: Lukovic, Mina Konakovic
– fullname: Stoll, Klaus
– fullname: Erps, Timothy P
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Snippet Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate...
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SubjectTerms ADDITIVE MANUFACTURING TECHNOLOGY
ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
ADHESIVES
AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
CALCULATING
CHEMICAL PAINT OR INK REMOVERS
CHEMISTRY
COATING COMPOSITIONS, e.g. PAINTS, VARNISHES ORLACQUERS
COMPUTING
CORRECTING FLUIDS
COUNTING
DYES
ELECTRIC DIGITAL DATA PROCESSING
FILLING PASTES
INKS
METALLURGY
MISCELLANEOUS APPLICATIONS OF MATERIALS
MISCELLANEOUS COMPOSITIONS
NATURAL RESINS
PAINTS
PASTES OR SOLIDS FOR COLOURING OR PRINTING
PERFORMING OPERATIONS
PHYSICS
POLISHES
SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR
SHAPING OR JOINING OF PLASTICS
TRANSPORTING
USE OF MATERIALS THEREFOR
WOODSTAINS
WORKING OF PLASTICS
WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL
Title Systems and methods for formulating material in a data-driven manner
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