Quick analysis of residual stress and distortion in cast aluminum components

Patent metadata

Field	Value
Publication number	US-9489620-B2
Application number	US-201414295404-A
Country	US
Kind code	B2
Filing date	Jun 4, 2014
Priority date	Jun 4, 2014
Publication date	Nov 8, 2016
Grant date	Nov 8, 2016

Abstract

A computer-implemented system and method of rapidly predicting at least one of residual stress and distortion of a quenched aluminum casting. Input data corresponding to at least one of topological features, geometrical features and quenching process parameters associated with the casting is operated upon by the computer that is configured as a neural network to determine output data corresponding to at least one of the residual stress and distortion based on the input data. The neural network is trained to determine the validity of at least one of the input data and output data and to retrain the network when an error threshold is exceeded. Thereby, residual stresses and distortion in the quenched aluminum castings can be predicted using the embodiments in a tiny fraction of the time required by conventional finite-element based approaches.

First claim

What is claimed is:

1. A computer-implemented method of rapidly predicting at least one of residual stress and distortion of a quenched aluminum casting, said method comprising:
receiving into said computer input data corresponding to at least one of topological features, geometrical features and quenching process parameters associated with said casting; and
operating said computer as a neural network to determine output data corresponding to at least one of said residual stress and distortion based on said input data, said operating configured to train said network to determine the validity of at least one of said input data and output data and to retrain said network when an error threshold is exceeded.

2. The method of claim 1 , wherein said input data corresponding to at least one of topological features, geometrical features and quenching process parameters associated with said casting comprises input data corresponding to each of said topological features, geometrical features and quenching process parameters.

3. The method of claim 2 , wherein said geometrical features include at least the Gaussian curvature that is determined by the formula:

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4. The method of claim 3 , wherein said geometrical features comprise at least a maximum dihedral angle that is calculated using the formula:
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5. The method of claim 2 , wherein said quenching process parameters comprises node temperature changes that take place during a quench of said casting.

6. The method of claim 2 , wherein said topological features include at least a set of nearest neighbor nodes that are determined by a breadth-first-se

Assignees

• Gm Global Tech Operations Llc
• Gm Global Tech Operations Llc

Inventors

• Wang Qigui
• Wang Yucong
• Gao Zhiqiang
• Quan Zhibin

Classifications

• G06F17/10

  Complex mathematical operations {(function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544)} · CPC title

• G06F30/00

  Computer-aided design [CAD] · CPC title

• C22F1/04

  of aluminium or alloys based thereon · CPC title

• G06F30/23

  using finite element methods [FEM] or finite difference methods [FDM] · CPC title

• G06N3/10

  Interfaces, programming languages or software development kits, e.g. for simulating neural networks · CPC title