公开(公告)号：US20210095141A1

公开(公告)日：2021-04-01

申请号：US17061548

申请日：2020-10-01

申请人： Massachusetts Institute of Technology ,  BASF SE

发明人： Michael J. Foshey ,  Timothy P. Erps ,  Mina Konakovic Lukovic ,  Wojciech Matusik ,  Wan Shou ,  Klaus Stoll ,  Bernhard Ulrich von Vacano ,  Hanns-Hagen Goetzke

IPC分类号： C09D11/101 ,  B29C64/112 ,  B29C64/124 ,  G06K9/62

摘要： 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.

公开(公告)号：US20230364863A1

公开(公告)日：2023-11-16

申请号：US18225246

申请日：2023-07-24

申请人： Massachusetts Institute of Technology ,  BASF SE

发明人： Michael J. Foshey ,  Timothy P. Erps ,  Mina Konakovic Lukovic ,  Wojciech Matusik ,  Wan Shou ,  Klaus Stoll ,  Bernhard Ulrich von Vacano ,  Hanns Hagen Goetzke

IPC分类号： B29C64/393 ,  C09D11/101 ,  B29C64/124 ,  B29C64/112 ,  B33Y70/00 ,  G06F18/2415

CPC分类号： B29C64/393 ,  C09D11/101 ,  B29C64/124 ,  B29C64/112 ,  B33Y70/00 ,  G06F18/24155

摘要： 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.

公开(公告)号：US11752700B2

公开(公告)日：2023-09-12

申请号：US17061548

申请日：2020-10-01

申请人： Massachusetts Institute of Technology ,  BASF SE

发明人： Michael J. Foshey ,  Timothy P. Erps ,  Mina Konakovic Lukovic ,  Wojciech Matusik ,  Wan Shou ,  Klaus Stoll ,  Bernhard Ulrich von Vacano ,  Hanns Hagen Goetzke

IPC分类号： B29C64/393 ,  C09D11/101 ,  B29C64/124 ,  B29C64/112 ,  B33Y70/00 ,  G06F18/2415

CPC分类号： B29C64/393 ,  B29C64/112 ,  B29C64/124 ,  B33Y70/00 ,  C09D11/101 ,  G06F18/24155

摘要： 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.