Method to predict machined part variation for design optimization

Patent metadata

Field	Value
Publication number	US-2022414293-A1
Application number	US-202217849231-A
Country	US
Kind code	A1
Filing date	Jun 24, 2022
Priority date	Jun 25, 2021
Publication date	Dec 29, 2022
Grant date	—

Abstract

A method of predicting machined part variations for design optimization is provided. The method includes receiving computerized specifications for a part and tooling specifications for tooling used for building the part, producing the part using virtual machining based on the computerized and the tooling specifications and producing variations of the part using the virtual machining based on the computerized and the tooling specifications and based on variations of at least some of the tooling specifications.

First claim

What is claimed is:

1 . A method of predicting machined part variations for design optimization, the method comprising:
receiving computerized specifications for a part and tooling specifications for tooling used for building the part; producing the part using virtual machining based on the computerized and the tooling specifications; and producing variations of the part using the virtual machining based on the computerized and the tooling specifications and based on variations of at least some of the tooling specifications.

2 . The method according to claim 1 , wherein the computerized specifications comprise at least one of computer aided design (CAD) specifications and computer aided manufacturing (CAM) specifications.

3 . The method according to claim 1 , wherein the tooling specifications comprise models of machine tools, controllers, stock designs, cutters and tool paths.

4 . The method according to claim 3 , wherein the tooling specifications further comprise machine capability information.

5 . The method according to claim 4 , wherein the machine capability information comprises axis position accuracy information.

6 . The method according to claim 4 , wherein the machine capability information comprises cutter accuracy information.

7 . The method according to claim 1 , wherein the variations of the tooling specifications comprise changes to axis position accuracy information and cutter accuracy information.

8 . A method of predicting machined part variations for design optimization, the method comprising:
receiving computerized specifications for a part and tooling specifications for tooling used for building the part; producing the part using virtual machining based on the computerized and the tooling specifications; varying at least some of the tooling specifications; producing variations of the part using the virtual machining based on the computerized and the tooling specifications and based on variations of the at least some of the tooling specifications; observing how the variations of the part differ from the part in association with the variations of the at least some of the tooling specifications; and predicting how the tooling will react to future instructions to build a new part and to variations in the future instructions in accordance with results of the observing.

9 . The method according to claim 8 , wherein the computerized specifications comprise at least one of computer aided design (CAD) specifications and computer aided manufacturing (CAM) specifications.

10 . The method according to claim 8 , wherein the tooling specifications comprise models of machine tools, controllers, stock designs, cutters and tool paths.

11 . The method according to claim 10 , wherein the tooling specifications further comprise machine capability information.

12 . The method according to claim 11 , wherein the machine capability information comprises axis position accuracy information.

13 . The method according to claim 11 , wherein the machine capability information comprises cutter accuracy information.

14 . The method according to claim 8 , wherein the variations of the tooling specifications comprise changes to axis position accuracy information and cutter accuracy information.

15 . The method according to claim 8 , wherein the observing comprises measuring dimensional differences between the variations of the part and the part.

Assignees

• Raytheon Tech Corp

Inventors

• Guo Changsheng

Classifications

• G06F30/20 Primary

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G05B19/4069 Primary

  Simulating machining process on screen (G05B19/4068 takes precedence) · CPC title

• G05B2219/35346

  VMMC: virtual machining measuring cell simulate machining process with modeled errors, error prediction · CPC title

• G05B19/4097

  characterised by using design data to control NC machines, e.g. CAD/CAM (G05B19/4093 takes precedence) · CPC title

• G06F30/17

  Mechanical parametric or variational design · CPC title