Welding Data Collection Using Temperature to Infer Underlayer Shape
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Solution Overview
Problem
The high cost of using a laser displacement meter for measuring the shape of a welding target and welding bead increases the expense of collecting welding data for machine learning and evaluation.
Innovation Solution
A welding data collection method that includes measuring the temperature of the welding target using a radiation thermometer and acquiring data based on this temperature as a parameter indicating the underlayer shape, eliminating the need for an expensive laser displacement meter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a laser displacement meter is used to measure the shape of a welding target and welding bead, then measurement precision is improved, but device cost increases
Solution Approach 1:
The patent replaces the expensive laser displacement meter with a radiation thermometer, which is a more economical measurement device. This substitution maintains the ability to collect welding data while significantly reducing device cost and complexity
Solution Approach 2:
The patent substitutes a thermal measurement system (radiation thermometer) for a mechanical/optical measurement system (laser displacement meter). By measuring temperature instead of direct physical shape, the system achieves the necessary measurement capability with simpler and less expensive equipment
2Manufacturing precision
If a laser displacement meter is used for measuring welding target shape, then manufacturing precision is improved, but device cost increases
Solution Approach 1:
The patent employs a radiation thermometer instead of a laser displacement meter to measure welding target shape parameters. This substitution reduces device cost while maintaining sufficient measurement capability for manufacturing precision requirements through temperature-based shape inference
3Device complexity
If temperature measurement is used to indicate underlayer shape, then device cost decreases, but measurement precision may be affected
Solution Approach 1:
The patent uses temperature as an intermediary parameter to infer underlayer shape characteristics. Instead of directly measuring shape with a laser displacement meter, the system measures temperature distribution, which correlates with shape features, and uses this indirect measurement to achieve the necessary measurement precision with lower-cost equipment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the collection of welding data for machine learning and evaluation at a lower cost while allowing detection of unevenness in the underlayer shape before a welding defect occurs, reducing the risk of defects and lowering overall data collection costs.
Implementation Method 1
measuring a temperature of a welding target as the parameter indicating the underlayer shape
Data Source
AI summary
A welding data collection method is a collection method of collecting welding data including a plurality of parameters having an influence on a welding state and including at least a parameter indicating an underlayer shape of a welding target. The welding data collection method includes a step of measuring a temperature on an upstream side of a welding position of the welding target in a welding direction, and a step of acquiring the welding data to which a value based on the temperature measured as the parameter indicating the underlayer shape is input.