The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 12, 2026

Filed:

May. 25, 2023
Applicant:

Raytheon Technologies Corporation, Farmington, CT (US);

Inventors:

Parisa Farahmand, Los Gatos, CA (US);

Masoud Anahid, Galena, OH (US);

Assignee:

RTX Corporation, Farmington, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B33Y 50/02 (2015.01); B22F 10/28 (2021.01); B22F 10/366 (2021.01); B22F 10/85 (2021.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01);
U.S. Cl.
CPC ...
B22F 10/85 (2021.01); B22F 10/28 (2021.01); B22F 10/366 (2021.01); B33Y 10/00 (2014.12); B33Y 30/00 (2014.12); B33Y 50/02 (2014.12);
Abstract

This disclosure is directed to a method for modeling additive manufacturing of a part, including a number of steps. The steps include constructing a model for estimating output of a simulated additive manufacturing process, followed by entering process operating parameters for an additive manufacturing system into the model to produce an output. The output is compared to acceptance criteria to determine whether the output is acceptable or unacceptable. Next regions of operating parameters that support production of the part with acceptable quality characteristics are determined based upon the output. Regions of operating parameters that support production of the part with acceptable quality characteristics are added to a process map for additive manufacturing the part. The steps are repeated for different operating parameters until the process map is complete.


Find Patent Forward Citations

Farahmand, Parisa. (2026). Predictive defect model for highly productive laser powder bed fusion additive manufacturing (U.S. Patent No. 12623288). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12623288

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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