Arc Welding Quality Monitoring With 3D Profiling and Distortion Feedback
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Solution Overview
Problem
Current welding processes in automotive production face inefficiencies due to imperfect welds, leading to delays and increased costs, necessitating advanced data analysis and monitoring to enhance weld quality and efficiency.
Innovation Solution
A multistage welding system that includes a scanning device for generating a 3D profile of weld targets, a monitoring device for real-time distortion adjustment, and a suite of sensors for high-resolution data collection and analysis, combined with a processing module for quality assessment and post-weld inspection to ensure stable and compliant weld joints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional welding processes are used in automotive production, then production speed is maintained, but weld quality deteriorates leading to imperfect welds and production delays
Solution Approach 1:
The system performs preliminary scanning of the workpiece to generate a 3D profile before welding, captures matching imperfections in advance, and pre-determines a weld schedule based on the scanned geometry. This preliminary characterization of the workpiece allows the welding process to be optimized in advance, ensuring high weld quality without causing production delays.
Solution Approach 2:
The system implements real-time monitoring during the weld operation, sensing distortion as it occurs and comparing it against the predicted distortion from the 3D profile. The weld schedule is dynamically adjusted based on this feedback loop, allowing the system to maintain high weld quality while adapting to actual conditions, thus avoiding production delays from rework.
2Measurement precision
If advanced monitoring and multiple sensors are implemented, then weld quality and measurement precision improve, but device complexity increases
Solution Approach 1:
The monitoring system is divided into two distinct stages: a first stage that performs preliminary scanning and 3D profile generation, and a second stage that performs real-time monitoring during welding. Each stage uses sensors appropriate to its function, allowing high measurement precision without requiring all sensors to operate simultaneously, thus managing system complexity through temporal and functional segmentation.
Solution Approach 2:
The scanning device serves multiple functions: it characterizes the workpiece geometry, generates the 3D profile for prediction, and provides baseline data for comparison during monitoring. This multi-functionality reduces the need for separate dedicated devices, achieving high measurement precision while controlling overall system complexity through versatile component design.
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
The system effectively predicts and adapts to distortions during welding, improving weld quality by combining high and low-resolution data for real-time adjustments and post-weld analysis, thereby reducing production delays and costs.
Implementation Method 1
a first stage of a scanning device for scanning a workpiece including a set of weld parts to generate a three-dimensional (3D) profile of a weld target
Implementation Method 2
a high-resolution current sensor, a high-resolution voltage monitor sensor, and a high-resolution flow sensor
Implementation Method 3
a microphone, a vibration meter
Implementation Method 4
a plasma sensor, an ultra-violet sensor, an electromagnetic spectrometer, and an infrared camera
Implementation Method 5
Arc Welding (AW) process
Data Source
AI summary
Systems, methods, and apparatuses of a welding system are disclosed and include a first stage of a scanning device for scanning weld parts to generate a three-dimensional (3D) profile of a weld target wherein the 3D profile captures matching imperfections of a meeting together of the set of weld parts when performing the weld operation; and the second stage of a monitoring device to monitor the weld operation and to generate a data of high-resolution measurements of the weld operation; wherein the first stage further includes the monitoring device determining a weld schedule based on the 3D profile, and to adjust the weld schedule while the weld operation progresses to adapt to predicted distortion based on the 3D profile and to sensed distortion; wherein the second stage further includes a plurality of sensors to sense a set of components associated with the weld operation to generate high-resolution data of measurements.