Welding Job Sequencer With RFID Schedule Selection
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Solution Overview
Problem
Semi-automatic welding work cells face inefficiencies due to the need for manual adjustments of welding schedules, leading to reduced productivity and increased error rates, as operators must frequently change welding schedules and manage multiple sequences, which can result in defective parts and rework.
Innovation Solution
A welding system with a welding job sequencer that identifies operators, selects appropriate welding sequences based on biometric data and RFID signals, and automatically adjusts equipment settings to perform specific welds, reducing operator intervention and improving workflow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple welding schedules are stored and selectable in semi-automatic work cells, then adaptability to varying welding conditions is improved, but operator workload and complexity of schedule management increase
Solution Approach 1:
The system automatically selects and applies the appropriate welding schedule based on RFID identification of the workpiece, eliminating the need for operators to manually select schedules. The workpiece itself 'services' the scheduling function by carrying its identification information that the system reads and processes automatically.
Solution Approach 2:
The manual mechanical process of operator intervention for schedule selection is replaced with an automated electronic system using RFID technology. The physical interaction between operator and control panel is substituted with wireless electromagnetic field-based automatic identification and schedule selection.
2Adaptability or versatility
If operators manually adjust welding schedules for different parts, then flexibility to handle varying sequences is improved, but productivity decreases due to frequent interruptions
Solution Approach 1:
Welding schedules are pre-configured and stored in the system with associated RFID tags for different workpiece types. When a workpiece is placed on the fixture, the system automatically retrieves and applies the corresponding pre-configured schedule, eliminating the need for operators to manually adjust settings during production.
Solution Approach 2:
The system performs automatic schedule selection and equipment adjustment based on RFID identification, freeing the operator from manual adjustment tasks. The workpiece carries its own scheduling information via RFID tag, enabling the system to self-configure without operator intervention.
3Ease of operation
If welding schedules are simplified to reduce adjustment needs, then ease of operation is improved, but manufacturing precision and quality decrease
Solution Approach 1:
Different welding schedules with specific, precise parameters are maintained for different workpiece types or regions. The RFID system identifies which specific schedule to apply, ensuring that each local requirement (specific workpiece type) receives its optimized, precise welding parameters rather than a simplified universal schedule.
Solution Approach 2:
The system maintains multiple welding schedules with different parameters (current, voltage, speed, etc.) for different workpiece types. Automatic RFID-based selection ensures the correct parameter set is applied to each specific workpiece, maintaining manufacturing precision while keeping the operator interface simple.
4Adaptability or versatility
If operators frequently change welding schedules, then adaptability to quality control specifications is improved, but error rates increase due to human factors
Solution Approach 1:
The system automatically selects and applies the correct welding schedule based on RFID identification of the workpiece, eliminating human error in schedule selection. The workpiece's RFID tag serves as the key that automatically triggers the correct process parameters, removing the cognitive load and potential for error in manual schedule management.
Solution Approach 2:
The RFID system provides automatic feedback about the workpiece identity to the control system, which then automatically adjusts the welding schedule accordingly. This closed-loop system ensures that the correct parameters are always applied to the correct workpiece type, preventing errors that would occur with manual selection.
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 enhances productivity and quality by automating schedule changes and reducing human error, allowing operators to focus on welding while the sequencer manages scheduling and equipment adjustments.
Implementation Method 1
A welding system with a welding job sequencer that identifies operators, selects appropriate welding sequences based on biometric data and RFID signals
Data Source
AI summary
The invention described herein generally pertains to a system and method for evaluating one or more conditions or preliminary weld condition related to a welding system and/or method that utilizes a welding sequence to perform two or more welds with respective welding schedules. In an embodiment, an operator registration is provided that verifies the operator and identifies welding sequences to which the operator is authorized to perform. In another embodiment, one or more fixture locations are monitored to determine whether a workpiece is accurately configured prior to a welding operation. In still another embodiment, locations on a workpiece can be displayed to assist an operator in performing two or more welds utilizing a welding sequence. Moreover, a wireless system communications a data signal to a welding work cell in which such data is used to identify a welding sequence.


