Weld Pool Volume Control via Thermal Inverse Models
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Solution Overview
Problem
Current welding processes lack direct control over weld pool volume and shape, relying on indirect methods that fail to achieve precise control required for quality welds in various industrial applications.
Innovation Solution
A method combining thermal sensors with a thermal inverse model and weld pool frequency sensing to directly control and maintain a constant weld pool volume, using real-time thermal data processing and optimization to adjust welding machine variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If indirect control methods using primary process variables are used, then welding process control is simplified, but manufacturing precision of weld pool volume and shape deteriorates
Solution Approach 1:
The patent implements direct feedback control by measuring weld pool volume in real-time and using this measurement to adjust process variables. The system continuously monitors the weld pool volume and compares it to the desired volume, then automatically adjusts parameters like heat input or travel speed to maintain the target volume, thereby resolving the contradiction between control simplicity and precision.
Solution Approach 2:
The patent replaces indirect mechanical control of process variables with direct control based on measured weld pool volume. Instead of relying on complex relationships between multiple primary variables, the system directly controls the weld pool volume through real-time measurement and adjustment, achieving both operational simplicity and manufacturing precision.
2Manufacturing precision
If direct weld pool volume sensing and control is implemented, then manufacturing precision of weld pool volume improves, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional control system that integrates sensing, measurement, and control functions into a unified platform. The system can measure weld pool volume and automatically adjust multiple process variables through a single control architecture, reducing the overall device complexity despite the advanced control capabilities.
Solution Approach 2:
The patent introduces an intermediary control system that bridges the gap between direct weld pool volume measurement and the various process variables. This intermediary layer processes the volume measurement and generates appropriate control signals, simplifying the overall system architecture while maintaining precise control capability.
3Manufacturing precision
If real-time thermal data processing and optimization are used, then manufacturing precision of weld pool volume improves, but loss of time in processing increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating optimization algorithms and control strategies before the welding process begins. The system prepares lookup tables and pre-computes control responses, allowing real-time adjustments to be made quickly during welding without extensive on-the-fly computation, thereby maintaining both precision and speed.
Solution Approach 2:
The patent employs dynamic control strategies that adapt the processing complexity based on the welding conditions. The system uses simplified models for quick responses when conditions are stable and more complex optimization only when adjustments are needed, reducing average processing time while maintaining precision when required.
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 precise control of weld pool volume and shape, improving weld quality and process stability by accurately predicting and adjusting heat source distribution and machine settings in real-time.
Implementation Method 1
making a thermal measurement of the weld pool using a thermal sensor
Implementation Method 2
Welding processes typically use electric arcs or energy beams as heat sources
Implementation Method 3
These welding processes typically use electric arcs or energy beams as heat sources
Implementation Method 4
solving a thermal inverse model to predict the thermal response of the weld pool to the plurality of process variable settings
Implementation Method 5
generating a weld pool using a welding machine tool
Data Source
AI summary
A new method of process control for fusion welding maintains a controlled weld pool size or volume, for example in some applications a substantially constant weld pool size or volume. The invention comprises a method of linking machine and process variables to the weld pool size or volume in real time, thereby enabling constant weld pool volume control. The invention further comprises a method of using thermal inverse models to rapidly process real-time data and enable models-based control of welding processes so as to implement constant weld pool volume control.