Knowledge driven composite design optimization process and system therefor

• US 5,984,511 A
• Filed: 05/12/1997
• Issued: 11/16/1999
• Est. Priority Date: 05/12/1997
• Status: Expired due to Term

• Current Assignee: Mcdonnell Douglas Corporation (The Boeing Co.)
• Original Assignee: Mcdonnell Douglas Corporation (The Boeing Co.)
• Inventors: Vasey-Glandon, Virginia M., Hale, Richard D., Schmitz, Jeffrey J.
• Primary Examiner(s): Teska, Kevin J.
• Assistant Examiner(s): FREJD, RUSSELL WARREN
• Application Number:
  US08/854,687
• Time in Patent Office: 918 Days
• Field of Search: 364/512, 364/474.24, 364/518, 364/468, 364/571.01, 364/768, 364/476, 364/468.04, 345/419, 345/420, 345/423
• US Class Current: 703/6
• CPC Class Codes: G06F 2111/04 Constraint-based CAD
• CPC Class Codes: G06F 2113/24 Sheet material
• CPC Class Codes: G06F 2113/26 Composites
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06F 30/15 Vehicle, aircraft or watercraft design

Abstract

A knowledge driven composite design optimization process for designing a laminate part includes steps for generating a globally optimized 3-D ply definition for a laminate part, and modifying the 3-D ply definition to include features of the laminate part, where the generating and modifying steps are parametrically linked to one another and are performed in the recited order. Preferably, the generating step includes substeps for determining connectivity between a plurality of regions defining the laminate part, subsequently generating ramp features detailing interconnection of the regions defining the laminate part, and displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user. A knowledge driven composite design optimization system and associated computer memory for operating a general purpose computer as a knowledge driven composite design optimization system are also described.

Claims

1. A knowledge driven composite design optimization process for designing a laminate part comprising steps for:

generating a globally optimized 3-D ply definition for a laminate part; and

subsequently modifying the 3-D ply definition to include features of the laminate part,

wherein said generating and modifying steps are parametrically linked to one another.

2. The process as recited in claim 1, wherein said generating step further comprises steps for:

determining connectivity between a plurality of regions defining the laminate part;

subsequently generating ramp features detailing interconnection of the regions defining the laminate part; and

displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user.

3. The process as recited in claim 1, wherein the generating step further comprises the step of optimizing local stacking sequences.

4. The process as recited in claim 1, wherein:

said generating step further comprises generating the globally optimized 3-D ply definition for a laminate part using predetermined rules of laminate design practice; and

said modifying step further comprises subsequently modifying the 3-D ply definition to include features which locally violate said predetermined rules of laminate design practice for the laminate part.

5. A laminate part constructed using a knowledge driven composite design optimization process comprising steps for:

generating a globally optimized 3-D ply definition for a laminate part using predetermined optimal rules of laminate design practice; and

subsequently modifying the ply definition to include features of the laminate part,

wherein said generating and modifying steps are parametrically linked to one another.

6. The part as recited in claim 5, wherein said generating step further comprises substeps for:

determining connectivity between a plurality of regions defining the laminate part;

subsequently generating ramp features detailing interconnection of the regions defining the laminate part;

displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user; and

optimizing local stacking sequences.

7. The part as recited in claim 5, wherein said modifying step further comprises subsequently modifying the 3-D ply definition to include features which locally modify predetermined optimal rules of laminate design practice for the laminate part.

8. A knowledge driven composite design optimization process for designing a laminate part comprising:

a Parametric Composite Knowledge System (PACKS) module for generating a globally optimized 3-D ply definition for a laminate part in accordance with laminate design transition rules, said PACKS module including;

a connectivity subroutine for determining connectivity between a plurality of regions defining the laminate part responsive to said transition rules;

a ramp definition subroutine for generating ramp features detailing interconnection of the regions defining the laminate part; and

a visualization subroutine for displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user; and

a feature module including;

a subroutine for modifying the 3-D ply definition to include features which locally modify the global ply solution;

wherein said PACKS and said features modules are parametrically linked to one another, and wherein the knowledge driven composite design optimization process applies said PACKS module and said features module in that order as a best practice.

9. The process as recited in claim 8, wherein said PACKS module further comprises a stacking sequence subroutine for optimizing local stacking sequences.

10. The process as recited in claim 8, wherein said transition rules determine a number of plies which can be dropped between adjacent ones of said regions and wherein said connectivity subroutine examines all of said plies in a predetermined order to thereby determine which of said plies will be dropped between said regions.

11. The process as recited in claim 10, wherein said predetermined order is freely selectable from a plurality of predetermined orders.

12. The process as recited in claim 10, wherein said predetermined order is defined with respect to a centerline ply and a tool surface.

13. The process as recited in claim 8, wherein:

said connectivity subroutine comprises a plurality of connectivity subroutines;

said transition rules determine a number of said plies which can be dropped between adjacent ones of said regions;

each said connectivity subroutine examines all of said plies with respect to a predetermined order to thereby determine which of said plies will be dropped between said regions, said predetermined order being defined with respect to a centerline ply and a tool surface; and

said connectivity subroutine, said ramp definition subroutine and said visualization subroutine are repeated seriatim until all of said connectivity subroutines have been utilized.

14. A knowledge driven composite design optimization system used in designing a laminate part, comprising:

first means for generating a globally optimized 3-D ply definition for the laminate part in accordance with laminate design transition rules, said first means including;

second means for determining connectivity between a plurality of regions defining the laminate part responsive to said transition rules;

third means for generating ramp features detailing interconnection of the regions defining the laminate part; and

fourth means for displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user; and

fifth means for modifying the 3-D ply definition to include features which locally modify the global ply solution;

wherein said first through fifth means are parametrically linked one to another, and

wherein said first through fifth means operate in numerical order as a best practice.

15. The system as recited in claim 14, wherein said first means further comprises sixth means for optimizing local stacking sequences.

16. The system as recited in claim 14, wherein said transition rules determine a number of plies which can be dropped between adjacent ones of said regions and wherein said second means examines all of said plies in a predetermined order to thereby determine which of said plies will be dropped between said regions.

17. The system as recited in claim 16, wherein said predetermined order is freely selectable from a plurality of predetermined orders.

18. The system as recited in claim 16, wherein said predetermined order is defined with respect to a centerline ply and a tool surface.

19. The system as recited in claim 14, wherein:

said second means is responsive to a plurality of connectivity subroutines;

said transition rules determine a number of said plies which can be dropped between adjacent ones of said regions;

each said connectivity subroutine examines all of said plies with respect to a predetermined order to thereby determine which of said plies will be dropped between said regions, said predetermined order being defined with respect to a centerline ply and a tool surface; and

said second through fourth means are repeatedly operated in numerical order until all of said connectivity subroutines have been utilized.

20. The system as recited in claim 15, wherein:

said second means is responsive to a plurality of connectivity subroutines;

said transition rules determine a number of said plies which can be dropped between adjacent ones of said regions;

each said connectivity subroutine examines all of said plies with respect to a predetermined order to thereby determine which of said plies will be dropped between said regions, said predetermined order being defined with respect to a centerline ply and a tool surface; and

said second through fourth and sixth means are repeatedly operated in that stated order until all of said connectivity subroutines have been utilized.

21. A computer memory storing computer readable instructions for permitting a computer system to generate a design for a laminate part, said computer readable instructions including a parametric composite knowledge system (PACKS) module for generating a globally optimized 3-D ply definition for a laminate part in accordance with laminate design transition rules, said PACKS module including a connectivity subroutine for determining connectivity between a plurality of regions defining the laminate part responsive to said transition rules, a ramp definition subroutine for generating ramp features detailing interconnection of the regions defining the laminate part, and a visualization subroutine for displaying views and corresponding tabular data describing the laminate part and illustrating both inter-region connectivity and the ramp features as specified by a user, and further comprising a feature module including a subroutine for modifying the 3-D ply definition to include features which locally modify the global ply solution, wherein said PACKS and said features modules are parametrically linked to one another, and wherein said PACKS module and said features module are operated in that order.

22. The computer memory as recited in claim 21, wherein said connectivity subroutine comprises a plurality of connectivity subroutines, wherein said transition rules determine a number of said plies which can be dropped between adjacent ones of said regions, wherein each one of said connectivity subroutines examines all of said plies with respect to a predetermined order to thereby determine which of said plies will be dropped between said regions, said predetermined order being defined with respect to a centerline ply and a tool surface, and wherein said connectivity subroutine, said ramp definition subroutine and said visualization subroutine are repeated seriatim until all of said connectivity subroutines have been utilized.