Joining equipment
US6518536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2001 |
| Grant date | Feb 11, 2003 |
| Priority date | — |
| Expiry date | Apr 27, 2021 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB23K31/006
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
A joining equipment in which a neural network is employed for controlling a joining process. A dynamic analog model is used for neuron elements configuring the network. The equipment includes a detector, a controller, and a neural network. The detector detects a joining state of a joining portion when work pieces are joined with each other. The controller controls the output of the joining equipment. In response to output signals from the detector, the neural network transmits signals to the controller. Such a structure allows the joining equipment to flexibly respond to complicated changes in joining states. Besides, using similarity with a thermal conduction equation enables to minimize the number of input items fed into the neural network. Furthermore, using an approximate solution to the thermal conduction equation realizes to accelerate the time for numerical calculation without loss of accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.