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Artificial intelligence-based manufacturing part design

A part design and part technology, applied in design optimization/simulation, computer-aided design, calculation, etc., can solve problems such as labor and slowness

Pending Publication Date: 2020-05-29
THE BOEING CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It follows that current conventional engineering of parts is slow, manual, and suboptimal in terms of cost, manufacturability, and quality

Method used

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  • Artificial intelligence-based manufacturing part design
  • Artificial intelligence-based manufacturing part design
  • Artificial intelligence-based manufacturing part design

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Embodiment Construction

[0027] The methods and apparatus disclosed herein provide an operating system for artificial intelligence-based design of manufactured parts. In one or more examples, the system of the present disclosure teaches a method for providing intelligent artificial intelligence-based design feedback to human design engineers during the part design process with respect to flexibly specified design goals such as , cost, weight, manufacturability, size, material, or combination of goals), weights (e.g., importance weights for individual ones of the goals), and similarity boundaries (e.g., groups within the space that include coded part designs (or area) to systematically improve part design. The system enables design engineers to generate new part designs by using artificial intelligence / neural network-based tools to optimize against specified design goals.

[0028]During operation of the disclosed system, a design engineer draws up an initial design for a particular part. The design e...

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Abstract

Artificial intelligence-based manufacturing part design. Systems, methods, and apparatus for artificial intelligence-based manufacturing part design are disclosed. A system for designing a part comprises at least one processor configured: to encode the desired part design to generate an encoded desired part design; to identify a group of part designs within a space that is similar to the desired part design by comparing the encoded desired part design to encoded realized part designs, encoded imagined part designs, real metadata, and imagined metadata within the space; to generate an encoded optimal part design by analyzing the group of part designs according to objectives and weightings provided by a user; and to decode the encoded optimal part design to generate an optimal part design. Further, the system comprises a display configured to display, to the user, the optimal part design, which the user may use as a guide to modify the desired part design accordingly.

Description

technical field [0001] This disclosure relates to part design. Specifically, the present disclosure relates to artificial intelligence-based design of manufactured parts. Background technique [0002] Currently, the engineering design of a part requires design engineers to repeatedly manually generate and analyze multiple versions of the part in order to achieve a final part design with the desired properties of the part. Even then, the final part design was not specifically optimized for cost, manufacturability and / or quality. Because the design process requires iteratively designing and analyzing multiple versions of a single part to achieve the desired part design, the process is tedious and slow for design engineers. However, some design programs do allow the design engineer to manually enter parametric rules into the geometric design of the part. But the process is labor-intensive, technologically advanced, slow, expensive and requires highly specialized skills. It ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17
CPCG06T17/00G06T19/00G06N3/088G06N3/045G06N20/00G06F30/13G06F2119/18G06F30/15G06F30/27
Inventor D·S·雷米内K·瓦斯科A·R·卡茨C·S·波斯马
Owner THE BOEING CO