Welding Data Analysis for Sensor-Free Spot Weld Defect Detection
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Solution Overview
Problem
Existing methods for detecting welding defects in spot welding operations using external sensors are prone to inaccuracies due to environmental factors, are costly, and may not be applicable to existing welding robots, leading to a decline in the ability to accurately determine welding anomalies.
Innovation Solution
A welding quality control apparatus that receives and stores welding data files from multiple robots, including electrode position and current values, allowing for centralized management and analysis of welding data to detect defects without the need for external sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external sensors are used to detect welding abnormalities, then anomaly detection capability is provided, but measurement precision deteriorates due to environmental factors affecting sensor accuracy
Solution Approach 1:
The patent uses copying by creating virtual copies of welding data through simulation. Instead of relying on external sensors that are affected by environmental factors, the system generates simulated welding data that replicates the expected welding process parameters and compares actual welding data against these simulations, thereby achieving accurate anomaly detection without external sensors.
Solution Approach 2:
The patent replaces the mechanical sensor-based detection system with a computational data analysis system. Instead of using physical external sensors that are susceptible to environmental interference, the system substitutes a virtual simulation-based approach that processes welding data through computational methods, eliminating the measurement precision issues associated with external sensors.
2Reliability
If external sensors are equipped on welding robots, then welding defect detection is enabled, but device complexity increases
Solution Approach 1:
The patent eliminates the need for external sensors by using copying through virtual simulation. The system creates simulated welding data that represents expected normal welding processes and compares actual welding data against these simulations, thereby achieving defect detection without adding any physical sensor equipment to the welding robots.
Solution Approach 2:
The patent extracts the detection function from the physical robot system by removing external sensors entirely. Instead of equipping robots with additional sensor hardware, the system extracts welding data from the existing welding process and performs analysis through virtual simulation and data comparison, thereby simplifying the robot configuration while maintaining detection capability.
3Reliability
If external sensors are used for anomaly detection, then welding quality monitoring is provided, but cost increases due to expensive sensor equipment
Solution Approach 1:
The patent uses copying through virtual simulation to replace expensive external sensors. By generating simulated welding data that replicates expected process parameters and comparing actual data against these simulations, the system achieves welding quality monitoring without the high costs associated with external sensor equipment.
Solution Approach 2:
The patent replaces expensive, durable external sensor equipment with a cost-effective computational approach. The virtual simulation and data analysis system uses inexpensive computational resources to achieve the same welding quality monitoring function, significantly reducing the cost while maintaining reliability.
4Reliability
If existing welding robots are equipped with external sensors, then anomaly detection is enabled, but adaptability decreases because the method is not applicable to existing robots
Solution Approach 1:
The patent extracts the anomaly detection function from the robot hardware by removing the requirement for external sensors. The system obtains welding data from existing robots through their existing control systems and performs analysis through virtual simulation, making the method universally applicable to existing welding robots without any hardware modifications.
Solution Approach 2:
The patent creates a universal anomaly detection system that can be applied to any existing welding robot. By using virtual simulation and data analysis rather than robot-specific external sensors, the system achieves multi-functionality and broad applicability across different welding robot models and manufacturers, enhancing adaptability while maintaining detection reliability.
Data Source
AI summary
A welding quality control apparatus includes: a storage unit to store welding data files relating to a position of a movable electrode and a value of a current flowing between electrodes during a welding period, which are commonly acquired by welding robots and received from welding robot bodies or controllers thereof, together with a part number for individually identifying a part to be welded, a welding number for individually identifying a welding point of the part to be welded, a program ID for identifying a program used in welding the part to be welded, and date and time information; and a search unit to search the stored welding data files in accordance with a search condition relating to at least one of the part number, the welding number, the program ID, and the date and time information, and extract specific welding data files that match the search condition.