Intelligent CAD process

• US 5,748,943 A
• Filed: 10/04/1995
• Issued: 05/05/1998
• Est. Priority Date: 10/04/1995
• Status: Expired due to Fees

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Becker, Beverly J., Kaepp, Gregory A.
• Primary Examiner(s): Teska, Kevin J.
• Assistant Examiner(s): FREJD, RUSSELL WARREN
• Application Number:
  US08/538,925
• Time in Patent Office: 944 Days
• Field of Search: 395/500, 395/10, 395/919, 364/148, 364/522, 364/513, 364/468, 364/474.24, 364/152, 364/491, 364/490, 364/468.03, 364/474.15, 364/474.22
• US Class Current: 703/1
• CPC Class Codes: G06F 30/15 Vehicle, aircraft or watercraft design

Abstract

An adaptive CAD system, comprising: (a) gathering data consisting of at least one of (i) human generated information and techniques, and (ii) machine generated information and rules; (b) processing the gathered data by instructions to produce processed knowledge containing script without a product or part design; (c) recursively editing the processed knowledge to continuously improve the script to form an executable part design, such processing being carried out by inputting into the editing process at least one of (i) recently learned data, (ii) associative techniques, relations and features, and (iii) knowledge-based rules and instructions and (d) inputting the history of step (c) into processed knowledge, such inputting creating captured improvement criteria, that is iteratively and recursively feeding back into either the recursive editing process or into processing of step (b) to effect evolvement of an executable design form.

Claims

1. A method of evolving and dynamically adapting a computer aided part design having unknown initial form, comprising:

(a) gathering data related to said part consisting of (i) human generated information techniques, and (ii) machine generated information or rules;

(b) processing the gathered data by instructions to produce processed knowledge containing script without a part design;

(c) iteratively and recursively editing the processed knowledge to continuously adapt and improve the script to form one or more initial executable part designs by inputting into the editing process at least associative techniques, relations and features, and knowledge-based rules or instructions; and

(d) inputting the editing history of step (c) into processed knowledge, such inputting creating captured improvement criteria that is iteratively and recursively fed back into either the recursive editing process or into the processing of step (b) to effect evolvement of a different executable design form.

2. The method as in claim 1, in which step (c) is carried out by inputting market acceptance information, product performance information, and updated targets for weight and costs.

3. The method as in claim 1, in which said associated techniques comprise relating the part design to adjacent parts of an assembly.

4. The method as in claim 1, in which said knowledge-based rules and instructions are associated with a library of design elements and sections.

5. The method as in claim 1, in which said iterative and recursive feeding back of said captured improvement criteria is carried out by computer software.

6. The method as in claim 1, in which step (c) is carried out by also inputting into the editing process recently learned data.

7. The method as in claim 1, which further comprises step (e) manually reviewing the initial executable design to determine if multiple design objectives have been met and if not, manually determining what script can be modified to recursively generate other executable design forms that attempt to meet said multiple design objectives.

8. The method as in claim 7, in which said manually determining involves using tradeoffs that compromise meeting all said multiple design objectives.

9. The method as in claim 1, in which step (c) comprises inputting information from customer wants for the part design, or complex environmental systems influencing the part design.