Welding Condition Setting System for Robot Position Matching
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Solution Overview
Problem
Current welding robot systems require expertise in CAD and experience to set optimal welding conditions, making it difficult for beginners to estimate the quality of the welding process, such as bead shape, welding amount, and efficiency, and thus require excessive labor.
Innovation Solution
A welding and processing condition setting system that includes an input device, display device, and database with master and user condition data, allowing operators to retrieve and set welding conditions without specific knowledge, by extracting processing and welding condition parameters, calculating evaluation items, and displaying relevant information for easy evaluation and adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If welding conditions are set based on expert experience and actual welding tests, then welding quality and efficiency are optimized, but excessive labor and time are required for condition setting and testing
Solution Approach 1:
The system performs preliminary actions by pre-storing multiple welding condition sets in the storage unit, each corresponding to different welding positions and parameters. Instead of determining conditions during actual welding, the system prepares condition options in advance, allowing rapid selection and application during the welding process, thereby significantly reducing on-site adjustment time and labor.
Solution Approach 2:
The control unit acts as an intermediary between the welding robot's actual position and the welding condition parameters. It automatically acquires the robot's current position and posture, compares them with stored condition sets, and selects the most appropriate welding conditions without requiring manual expert intervention. This intermediary function bridges the gap between physical welding state and optimal parameter selection.
2Ease of operation
If welding conditions are set using three-dimensional CAD data and welding condition databases, then automated condition retrieval is achieved, but knowledge of CAD and welding expertise are still required
Solution Approach 1:
The system implements self-service by enabling the control unit to automatically acquire the welding robot's own position and posture data during operation. It then autonomously retrieves corresponding welding conditions from the storage unit based on this self-acquired information, eliminating the need for external CAD data input or expert manual configuration. The system serves itself by automatically matching its operational state with appropriate pre-stored conditions.
3Reliability
If multiple welding condition parameters are stored and retrieved based on robot position and posture, then accurate and reproducible welding conditions are achieved, but system complexity and data storage requirements increase
Solution Approach 1:
The welding condition data is segmented into multiple discrete condition sets, each corresponding to specific welding positions and postures. Instead of storing one large complex condition structure, the system divides conditions into manageable units that can be independently stored and retrieved. This segmentation allows the robot to select only the relevant condition subset for its current state, reducing the complexity of real-time decision-making while maintaining comprehensive coverage of all possible welding scenarios.
Data Source
AI summary
A welding and processing condition setting system includes an input device, a display device, a control device, and a database. The input device receives a retrieving operation of at least processing condition information input by an operator. The control device is configured to extract a processing condition parameter of the processing condition information from at least one of master condition data and user condition data according to the retrieving operation, extract a welding condition parameter of welding condition information corresponding to the extracted processing condition parameter from at least one of the master condition data and the user condition data, and calculate an evaluation item which is a result obtained by evaluating at least one of a welding amount and a working efficiency in the extracted welding condition parameters. The display device displays at least one parameter of the welding condition parameters, and the evaluation item.