IP Library › Granted Patent US 12,619,806
Granted Patent B2
US 12,619,806 · App. 17/925,079 · Granted May 5, 2026

Optimization system

Inventors: Hakan Yavas (Ankara, TR); Ahmet Alptug Tanrikulu (Ankara, TR); Akin Dagkolu (Ankara, TR); Istemihan Gokdag (Ankara, TR)
Assignee: TUSAS- TURK HAVACILIK VE UZAY SANAYII ANONIM SIRKETI
G06F30/27G06F2113/10G06F2119/08G06F2119/14G06F2119/18
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Quick Facts
Patent No.
US 12,619,806
App. No.
17/925,079
Granted
May 5, 2026
Kind
B2
Abstract

A device that enables the production of a part by additive manufacturing and a digital model that enables part analysis and/or design to be made in a virtual environment and creates a three-dimensional virtual part model are disclosed. A processor unit enables the designing of the digital model. Multiple unit design cells are used as building blocks to create the digital model that are virtually designed in the processor unit and that each have a three-dimensional platonic geometric shape. At least one database is provided in which analysis and/or design data are stored.

Claims (9)

1 . An optimization system ( 1 ) comprising a device ( 2 ) that enables the production of parts (p) by additive manufacturing, a digital model ( 3 ) that enables part (p) analysis and/or design to be made in a virtual environment and creates a three-dimensional virtual part (p) model, a processor unit ( 4 ) that enables the designing of the digital model ( 3 ), wherein the device ( 2 ) performs part (p) production under the control of the processor unit ( 4 ), multiple unit design cells ( 5 ) which are used as building blocks to create the digital model ( 3 ) are virtually designed in the processor unit ( 4 ), and each have a three-dimensional platonic geometric shape, at least one database ( 6 ) in which analysis and/or design data are stored, said database ( 6 ) comprises test data obtained by subjecting multiple parts (p) produced in the device ( 2 ) to chemical, physical, geometric and mechanical tests, and the processor unit ( 4 ) that enables the creation of the digital model ( 3 ) by arranging the unit design cells ( 5 ) using the test data from the database ( 6 ), wherein said processor unit ( 4 ) determines the platonic geometric shape of the unit design cell ( 5 ) depending on the data it retrieves from the database ( 6 ).

2 . The optimization system ( 1 ) according to claim 1 above, characterized by the processor unit ( 4 ) that enables the determination of the chemical and/or physical tests to be applied to the part (p).

3 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) that identifies the difference between the part's (p) analysis results using the physical and chemical test data applied to the user-produced part (p) and depending on the defined differences, that enables the creation of the digital model ( 3 ) by machine learning method.

4 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) that compares the analysis data of each unit design cell ( 5 ) to the chemical and/or physical test data of the part (p) in the database ( 6 ) and enables the creation of the digital model ( 3 ) by selecting and arranging the unit design cell ( 5 ) by machine learning method.

5 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) that enables the digital model ( 3 ) to be user-designed for part (p) designing and is programmable for the design and analysis of the digital model ( 3 ).

6 . The optimization system ( 1 ) according to claim 1 , characterized by the unit design cell ( 5 ) that has cubic, tetrahedral, octahedral, dodecahedral or icosahedron three-dimensional geometric shape.

7 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) that determines the mechanical and thermal stresses to be applied to the digital model ( 3 ) designed by numerical analysis, applies them to the digital model ( 3 ) and by removing those regions from the digital model ( 3 ) where the stress does not reach the previously user-determined threshold value according to the stress and pressure distribution obtained as a result of the analysis performed on the digital model ( 3 ), makes the structure of the part (p) to be produced more lightweight.

8 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) that determines at least one of the production parameters such as powder melting parameters, laser directing angle, applied laser power, electron gun power or beam directions used by the device ( 2 ) in part (p) production.

9 . The optimization system ( 1 ) according to claim 1 , characterized by the processor unit ( 4 ) located on the device ( 2 ).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 14, 2022
From: YAVAS, HAKAN; GOKDAG, ISTEMIHAN; DAGKOLU, AKIN; TANRIKULU, AHMET ALPTUG
To: TUSAS- TURK HAVACILIK VE UZAY SANAYII ANONIM SIRKETI
Reel/Frame 061756/0118 →
Priority Claims (1)
TR 2020/08028 · May 22, 2020 · national
Continuity (1)
Related Publication 20230342525A1 · Oct 26, 2023
References Cited (13)
US 10216172B2 · Arisoy et al. · 2019 [cited by applicant]
US 10384416B2 · Cheung et al. · 2019 [cited by applicant]
US 20160207111A1 · Robrecht · 2016 [cited by examiner]
US 20200242496A1 · Salasoo · 2020 [cited by examiner]
US 20240024953A1 · Buller · 2024 [cited by examiner]
WO 2018054502A1 · 2018 [cited by applicant]
International Search Report and Written Opinion for PCT/TR2021/050274 dated Oct. 8, 2021. [cited by applicant]
International Application Status Report received Apr. 20, 2021. [cited by applicant]
Written Opinion of the International Preliminary Examining Authority dated May 31, 2022. [cited by applicant]
Response to Written Opinion of May 31, 2022 for PCT/TR2021/050274 dated Jul. 27, 2022. [cited by applicant]
Written Opinion of the International Preliminary Examining Authority dated Sep. 1, 2022. [cited by applicant]
Response to Written Opinion of Sep. 1, 2022 for PCT/TR2021/050274 dated Sep. 28, 2022. [cited by applicant]
International Preliminary Report on Patentability for PCT/TR2021/050274 dated Oct. 28, 2022. [cited by applicant]