Robotic Cable Connector Assembly with Wire Detection
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Solution Overview
Problem
Current methods for assembling cables and connectors are labor-intensive, prone to human error, and require significant lead time, leading to increased costs and potential mistakes, especially when dealing with custom or high-mix low-volume production, which can delay market entry and increase storage and shipping complexities.
Innovation Solution
An automatic-robotic-system-for-cable assembly (ARSFCA) that automatically strips, detects, untwists, and connects inner wires to connectors using sensors, robotic placers, and soldering units, eliminating the need for human operators and enabling precise, efficient assembly of cables and connectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual assembly methods are used, then flexibility in handling custom configurations is maintained, but labor intensity and error rates increase
Solution Approach 1:
The system uses sensors to automatically detect cable and connector types, wire colors, and configurations, eliminating the need for manual inspection and decision-making. The robotic arm autonomously selects appropriate tools and adjusts parameters based on real-time sensor feedback, enabling the system to handle custom configurations independently without human intervention.
Solution Approach 2:
The system dynamically adjusts operational parameters such as gripper force, soldering temperature, and cutting length based on the detected cable type, connector specification, and wire characteristics. This allows the same robotic system to adapt to various custom configurations by changing parameters rather than requiring physical reconfiguration or manual operation.
2Productivity
If automated robotic assembly is implemented, then productivity and precision are improved, but system complexity increases
Solution Approach 1:
The robotic system integrates multiple functions into a single platform: sensing (various sensor types), manipulation (gripping, positioning, cutting, stripping), joining (soldering, crimping), and control. This multi-functional design consolidates what would otherwise require separate machines and operations into one unified automated system, managing complexity through integration rather than multiplication of components.
Solution Approach 2:
The controller acts as an intermediary that coordinates between sensors, robotic arm, tools, and power systems. It processes sensor data, makes decisions about the assembly sequence, and adjusts tool operations in real-time, simplifying the overall system architecture by providing a centralized intelligence layer that manages the interactions between complex subsystems.
3Adaptability or versatility
If manual assembly is used, then setup time for custom configurations is flexible, but lead time and storage requirements increase
Solution Approach 1:
The system pre-loads multiple cable types, connectors, and tools into easily accessible positions before assembly begins. Sensors pre-detect the required configuration based on input specifications, and the controller pre-plans the assembly sequence, retrieving necessary components in advance. This eliminates setup delays during actual production and reduces the need for extensive inventory storage of pre-assembled custom cables.
Solution Approach 2:
The robotic system dynamically reconfigures its tooling and gripper parameters between assemblies based on real-time detection of cable and connector types. This dynamic adaptability allows rapid switching between different custom configurations without requiring physical retooling or extended setup time, enabling high-mix low-volume production with the same equipment settings.
Data Source
AI summary
An automatic-robotic-system-for-cable assembly is provided. The system is configured to detect the inner-wire placement. The detected inter-wire is conveyed toward a connector's relevant pad. In addition the robotic system is configured to associate the inner wire to the connector's relevant pad.