Weld Parameter Feedback Across Cells for Consistent Weld Quality
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Solution Overview
Problem
Maintaining consistent quality in welded workpieces across multiple manufacturing cells is challenging due to divergent weld settings over time, leading to variable quality in the same type of workpieces.
Innovation Solution
A welding system that includes robotic and non-robotic welding equipment, a weld sequence controller, and sensors to monitor and adapt weld sequences based on previous weld conditions, ensuring consistent quality by adjusting timing and position of subsequent welds and adding non-robotic welds as needed to correct missed or defective robotic welds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic welding equipment is used to automate welding operations, then productivity and consistency are improved, but adaptability to handle missed or defective welds deteriorates
Solution Approach 1:
The system implements real-time monitoring of weld quality parameters and uses this feedback to dynamically adjust the welding sequence. When a missed or defective weld is detected, the controller automatically modifies subsequent weld parameters or adds corrective welds to compensate, resolving the contradiction between automated productivity and adaptability to quality issues
Solution Approach 2:
The welding sequence is made dynamic rather than fixed, allowing real-time modifications based on detected weld conditions. The system can add, remove, or modify welds in the sequence based on actual performance, enabling robotic equipment to adapt to quality issues while maintaining automated productivity
2Adaptability or versatility
If weld settings are allowed to vary across manufacturing cells to accommodate local conditions, then adaptability is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system systematically varies welding parameters across different manufacturing cells and uses sensor feedback to identify optimal settings for each location. This controlled parameter variation maintains adaptability to local conditions while ensuring precision through data-driven optimization and consistent quality outcomes
3Reliability
If non-robotic welding equipment is added to handle missed welds, then reliability is improved, but device complexity increases
Solution Approach 1:
The system integrates both robotic and non-robotic welding equipment into a single unified platform that can perform multiple functions. The same equipment can operate in automated robotic mode for high-speed welding and switch to manual or semi-automatic mode for corrective welding, reducing overall system complexity while maintaining reliability
Data Source
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AI summary
Embodiments of systems (200, 300) and methods for supporting weld quality across a manufacturing environment are disclosed. One embodiment includes manufacturing cells (10, 210, 310, 900) within a manufacturing environment, where each manufacturing cell (10, 210, 310, 900) includes a cell controller (76) and welding equipment. A communication network (230, 330) supports data communications between a central controller (220, 320) and the cell controller (76) of each of the manufacturing cells (10, 210, 310, 900). The central controller (220, 320) collects actual weld parameter data from the cell controller of each manufacturing cell, via the communication network (230, 330), to form aggregated weld parameter data for a same type of workpiece (22, 24) being welded in each of the manufacturing cells (10, 210, 310, 900). The central controller (220, 320) analyzes the aggregated weld parameter data to generate updated weld settings. The updated weld settings are communicated from the central controller (220, 320) to the cell controller (76) of each of the manufacturing cells (10, 210, 310, 900) via the communication network (230, 330).