Optimal dimensional and mechanical properties of laser sintered hardware by thermal analysis and parameter optimization

• US 20040254665A1
• Filed: 06/10/2003
• Published: 12/16/2004
• Est. Priority Date: 06/10/2003
• Status: Abandoned Application

• Current Assignee: Pratt & Whitney Rocketdyne Incorporated (L3Harris Technologies, Inc.)
• Original Assignee: Pratt & Whitney Rocketdyne Incorporated (L3Harris Technologies, Inc.)
• Inventors: Fink, Jeffrey E., Taylor, Tracy L., Wegner, Lori A., Shapey, Bryon
• Application Number:
  US10/458,636
• Publication Number:
  US 20040254665A1
• Time in Patent Office: Days
• US Class Current: 700/98
• CPC Class Codes: B22F 10/28 Powder bed fusion, e.g. selective laser melting [SLM] or electron beam melting [EBM]
• CPC Class Codes: B22F 10/85 for controlling or regulating additive manufacturing processes
• CPC Class Codes: B22F 12/90 Means for process control, e.g. cameras or sensors
• CPC Class Codes: B22F 2203/03 for feed-back
• CPC Class Codes: B22F 2998/00 Supplementary information concerning processes or compositions relating to powder metallurgy
• CPC Class Codes: B29C 2037/90 Measuring, controlling or regulating
• CPC Class Codes: B29C 64/153 using layers of powder being selectively joined, e.g. by selective laser sintering or melting
• CPC Class Codes: B29C 64/176 Sequentially
• CPC Class Codes: B33Y 80/00 Products made by additive manufacturing
• CPC Class Codes: Y02P 10/25 Process efficiency

Abstract

A method for improving production parts produced from a rapid prototyping machine that includes the step of generating a build run that produces output components having production parts and/or iterative improvement specimens. A comparison of the production parts and/or iterative improvement specimens is made to a set of input data that includes dimensions and material characteristics. The comparison produces a resultant data set that includes deviations between the input data and the output components. Build parameters are then tailored for the rapid prototyping machine to reduce deviations between the input data and the output components as compared to previous build runs.

Claims

1. A method for improving production parts produced from a rapid prototyping machine, wherein the rapid prototyping machine makes use of a rapid prototyping material, a set of input data relating to said material and an information set having information pertaining to manufacturing factors involved in a previous build run of a production part, the method comprising:

executing a build run that produces output components including at least one of production parts, and iterative improvement specimens, and a combination thereof;

comparing said output components to said set of input data to produce a resultant data set, said resultant data set including deviations between said set of input data and said output components;

incorporating said resultant data set into said information set; and

tailoring said information set to reduce said deviations between said set of input data and said output components as compared to at least one previous build run.

2. The method of claim 1, wherein the step of comparing includes performing destructive testing on said iterative improvement specimens.

3. The method of claim 1, wherein the rapid prototyping machine comprising a selective laser sintering machine.

4. The method of claim 1, further comprising the step of assigning locations for said production parts and said iterative improvement specimens in said parts bed, wherein said locations are optimized to reduce said deviations, as compared to said at least one previous build run.

5. The method of claim 1, wherein said iterative improvement specimens include one of Z-tensile arrays, density cubes, dimensional pyramids, flexural samples, and combinations thereof.

6. The method of claim 1, wherein said parts bed is constructed of the same material as said rapid prototyping material.

7. The method of claim 1, wherein said build parameters include variable parameters selected from a group consisting of stage height, left feed distance, left feed heater set point, minimum layer time, part heater set point, part heater inner/outer ratio, right feed distance, right feed heater set point, fill beam offset X, fill beam offset Y, outline beam offset X, outline beam offset Y, fill laser power, outline laser power, sorted fill maximum jump, and combinations thereof.

8. The method of claim 1, wherein said the thermal analysis of said parts bed includes one of a thermal profile test, a thermal opacity test, and combinations thereof.

9. The method of claim 1, further comprising the step of producing a scale factor.

10. A method for improving aerospace production parts produced from a selective laser sintering machine comprising the steps of:

providing the selective laser sintering machine, wherein a first run produces the production parts and iterative improvement specimens, wherein the parts and said specimens are formed of a sinterable material.

providing build information;

producing a resultant data set, wherein said resultant data set includes deviations derived from comparing a set of input data with a set of associated output results; and

modifying said build information to reduce said deviations between said input data and said associated output results as compared to a previous resultant data set of said at least one previous build run.

11. The method of claim 10, wherein the selective laser sintering machine has a parts bed, wherein said parts bed is generally comprised of the same material as said sinterable material.

12. The method of claim 10, wherein said build information includes one of material characteristics of said sinterable material, build parameters of the selective laser sintering machine, a thermal analysis and combinations thereof.

13. The method of claim 12, wherein said build information is derived from one of at least one previous build run, known values, computed values, and combinations thereof.

14. The method of claim 10, wherein said iterative improvement specimens are one of Z-tensile arrays, density cubes, dimensional pyramids, flexural samples, and combinations thereof.

15. The method of claim 10, further comprising the step of producing a scale factor.

16. The method of claim 12, wherein said build parameters includes variable parameters selected from a group consisting of stage height, left feed distance, left feed heater set point, minimum layer time, part heater set point, part heater inner/outer ratio, right feed distance, right feed heater set point, fill beam offset X, fill beam offset Y, outline beam offset X, outline beam offset Y, fill laser power, outline laser power, sorted fill maximum jump, and combinations thereof.

17. The method of claim 12, wherein said the thermal analysis of said parts bed includes one of a thermal profile test, a thermal opacity test, and combinations thereof.

18. A method for improving production parts from an automated production process for a just-in-time inventory system comprising the steps of:

producing output components having production parts and disposable parts;

comparing said output components to input values by inspection of the output components and destructive testing of the disposable parts; and

adjusting the automated production process to reduce deviations between input values and output components.

19. The method of claim 18, wherein said disposable parts are one of Z-tensile arrays, density cubes, dimensional pyramids, flexural samples, and combinations thereof.

20. The method of claim 18, further comprising the steps of receiving a demand for said production parts, said the demand includes architecture readable by the automated production process.

21. The method of claim 18, wherein said automated production process includes variable parameters selected from a group consisting of stage height, left feed distance, left feed heater set point, minimum layer time, part heater set point, part heater inner/outer ratio, right feed distance, right feed heater set point, fill beam offset X, outline beam offset X, outline beam offset Y, fill beam offset Y, fill laser power, outline laser power, sorted fill maximum jump, and combinations thereof.