IP Library › Granted Patent US 12,623,288
Granted Patent B2
US 12,623,288 · App. 18/323,875 · Granted May 12, 2026

Predictive defect model for highly productive laser powder bed fusion additive manufacturing

Inventors: Parisa Farahmand (Los Gatos, CA); Masoud Anahid (Galena, OH)
Assignee: RTX Corporation
B22F10/85B22F10/28B22F10/366B33Y10/00B33Y30/00B33Y50/02
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Quick Facts
Patent No.
US 12,623,288
App. No.
18/323,875
Granted
May 12, 2026
Kind
B2
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.

Claims (32)

1 . A method for modeling additive manufacturing of a part, comprising the steps of:

(i) constructing a model for estimating output of a simulated additive manufacturing process based upon powder composition, part design, physical properties of a melt pool channel, Bernoulli's equation, energy and mass conservation equations, a laser attenuation coefficient that represents a power loss ratio of the laser to its incident power on a powder bed, wherein the laser attenuation coefficient is a function of recoil pressure, vapor jet velocity and temperature and vapor-driven gas flow;

(ii) entering process operating parameters for an additive manufacturing system into the model to produce an output as a defect status, wherein the operating parameters include:

(1) laser beam spot size, build plate temperature, and layer thickness;

(2) temperature-dependent thermophysical properties of the powder;

(3) feedstock properties including average powder particle size; and

(4) laser hatching strategy including hatch distance, hatch delay time, and stripe width;

(iii) comparing the output to acceptance criteria to determine whether the output is acceptable or unacceptable;

(iv) determining, based upon the output, regions of operating parameters that support production of the part with acceptable quality characteristics;

(v) adding regions of operating parameters that support production of the part with acceptable quality characteristics to a process map for additive manufacturing the part; and

(vi) repeating steps (ii) through (v) for different operating parameters until the process map is complete, wherein the complete process map includes:

(1) at least one single-track map that indicates regions for an unstable melt pool; and

(2) at least one single-stripe map that indicates regions for vapor-induced lack-of-fusion defects.

2 . The method of claim 1 , wherein the acceptable quality characteristics include at least one of residual stress, microstructure, porosity, crack propensity of the part.

3 . The method of claim 1 , wherein the part is a complex near-net-shaped part.

4 . The method of claim 1 , wherein the physical properties of a melt pool channel are computed based a radius and length of the melt pool channel and backward flow velocity in the melt pool channel, wherein the radius, length and backward flow velocity of the melt pool channel are expressed as functions of laser power and scan speed.

5 . The method of claim 1 , further comprising using the process map to produce a physical part on a powder bed fusion additive manufacturing (LPBF) system.

6 . The process of claim 5 , further comprising validating and calibrating the process model based upon characteristics of the physical part.

7 . The method of claim 1 , wherein unacceptable output is not added to the process map.

8 . The method of claim 1 , wherein unacceptable output is added to the process map to set boundaries related to unacceptable parts.

9 . The method of claim 1 , wherein the operating parameters comprise laser power and laser scan speed.

10 . The method of claim 1 , wherein the part is produced from an alloy.

11 . A method for additive manufacturing of a part, comprising entering a part design into an additive manufacturing system programmed with a process map developed from the method of claim 1 and producing a part according to the part design and the process map.

12 . The method of claim 11 , wherein the part is a complex near-net-shaped part.

13 . The method of claim 11 , wherein the part is produced from an alloy.

14 . The method of claim 11 , wherein the process map defines regions of additive manufacturing system operating parameters that produce parts with acceptable quality characteristics.

15 . The method of claim 14 , wherein the operating parameters comprise laser power and laser scan speed.

16 . A system for additive manufacturing of a part, comprising an additive manufacturing system comprising a control unit programmed with a process map developed from the method of claim 1 wherein the control unit is further programmed to operate an additive manufacturing machine at process parameters within the process map.

17 . The system of claim 16 , wherein the part is a complex near-net-shaped part.

18 . The system of claim 16 , wherein the part is produced from an alloy.

19 . The system of claim 16 , wherein the process map defines regions of additive manufacturing system operating parameters that produce parts with acceptable quality characteristics.

20 . The system of claim 19 , wherein the operating parameters comprise laser power and laser scan speed.

Assignments (2)
CHANGE OF NAME Recorded Jul 27, 2023
From: RAYTHEON TECHNOLOGIES CORPORATION
To: RTX CORPORATION
Reel/Frame 064402/0837 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 25, 2023
From: FARAHMAND, PARISA; ANAHID, MASOUD
To: RAYTHEON TECHNOLOGIES CORPORATION
Reel/Frame 063766/0722 →
Continuity (1)
Related Publication 20240390984A1 · Nov 28, 2024
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