Welding Helmet Visual Guidance for Consistent Manual Weld Quality
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Solution Overview
Problem
Manual welding operations face challenges in maintaining optimal parameters such as torch angles, contact tip-to-work distance, and travel speed, leading to inconsistencies in weld quality, and existing systems lack effective monitoring and feedback mechanisms for operators.
Innovation Solution
A networked high dynamic range welding vision system that includes a wearable device with an optical sensor, storage, and processor to capture and analyze welding images, providing real-time feedback and instruction to operators through a display, and transmitting records for quality control and training purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual welding operations are performed without monitoring systems, then operator flexibility and ease of operation are maintained, but weld quality consistency and manufacturing precision deteriorate
Solution Approach 1:
The system continuously captures images of the welding operation, analyzes parameters such as torch angle and contact tip-to-work distance, and provides real-time feedback to the operator through a display device. This closed-loop feedback mechanism enables operators to maintain optimal welding parameters without increasing operational complexity
Solution Approach 2:
The patent replaces complex mechanical monitoring apparatus with an optical-based vision system using image sensors and software analysis. This substitution reduces mechanical complexity while maintaining measurement accuracy for welding parameters
2Manufacturing precision
If real-time monitoring and feedback systems are implemented, then weld quality and manufacturing precision are improved, but device complexity and ease of operation worsen
Solution Approach 1:
The system performs automatic image capture, processing, and parameter extraction without requiring operator intervention. The automated analysis of welding parameters and generation of feedback reports allows the system to serve itself, reducing the operational burden on workers while maintaining high weld quality standards
3Loss of information
If comprehensive welding parameter monitoring is implemented, then information availability for quality control is improved, but data management complexity and loss of time increase
Solution Approach 1:
The system captures and stores welding parameter data during the welding operation itself, rather than requiring post-process data collection. Images and parameters are recorded in real-time and automatically archived, eliminating the need for separate data gathering steps and reducing overall processing time while maintaining comprehensive information records
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
Enhances weld quality by providing real-time monitoring and feedback to operators, improving productivity and quality control, and facilitating operator training through enhanced visualization and data analysis.
Implementation Method 1
an optical sensor that captures first images of a welding operation
Data Source
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AI summary
Methods and apparatus to provide visual information associated with welding operations are disclosed. An weld training system includes a display, a camera, a communications device, and a welding helmet. The communications device communicates with welding equipment. The welding helmet has a view port. The communications device is configured to hold the camera, the communications device, and the display such that, when the welding helmet is worn by a wearer, the display is viewable by the wearer, the camera has a view through the view port such that the display displays to the wearer images taken by the camera through the view port and displays a simulated object generated based on information received from the welding equipment via the communications device.