US 12,353,805 B2
Adaptive FEM meshing for estimating internal temperature distributions within parts being manufactured via the powder bed fusion process
Nathaniel Joseph Wood, Columbus, OH (US); and David John Hoelzle, Columbus, OH (US)
Assigned to Ohio State Innovation Foundation, Columbus, OH (US)
Filed by Ohio State Innovation Foundation, Columbus, OH (US)
Filed on Nov. 10, 2022, as Appl. No. 18/054,535.
Application 18/054,535 is a continuation in part of application No. 17/075,866, filed on Oct. 21, 2020, granted, now 11,498,131.
Claims priority of provisional application 62/923,753, filed on Oct. 21, 2019.
Prior Publication US 2023/0078543 A1, Mar. 16, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 30/23 (2020.01); B22F 10/80 (2021.01); B33Y 40/00 (2020.01); B33Y 50/00 (2015.01); B22F 10/28 (2021.01); B29C 64/153 (2017.01); B33Y 50/02 (2015.01); G06F 113/10 (2020.01); G06F 119/08 (2020.01)
CPC G06F 30/23 (2020.01) [B22F 10/80 (2021.01); B33Y 40/00 (2014.12); B33Y 50/00 (2014.12); B22F 10/28 (2021.01); G06F 2113/10 (2020.01); G06F 2119/08 (2020.01)] 12 Claims
OG exemplary drawing
 
7. A system for estimating the temperature distribution inside a part manufactured by powder bed fusion, the system comprising:
a processing module configured to:
discretize the part geometry into finite units to convert a thermal transport model for the part geometry into a set of ordinary differential equations that describes heat transport between elements, the discretizing defining a set of variables that represent temperature at specific spatial locations, using the thermal transport model and thermal properties of the part material as functions in the set of ordinary differential equations;
estimate the values of the variable set using a Kalman filter, using the set of ordinary differential equations, information on heat applied, an estimate of a noise distribution of the process, a measurement of a temperature of the part during the process at specific locations, and an estimate of a noise distribution in the temperature measurement; and
pre-determine adaptive meshes for each time step according to a predefined schedule of laser movements of the power bed fusion process to move a region of high mesh density with the movements of the laser.