Automated Pick and Place Component Data Generation
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Solution Overview
Problem
Current automated manufacturing systems for electronic circuits face challenges in efficiently generating pick & place machine-specific component data, leading to inefficiencies in component placement and supply management, particularly when dealing with new or substitute components.
Innovation Solution
A method that utilizes multiple databases to automatically generate pick & place machine-specific component data by mapping component identifiers to shape and supply parameters, employing machine-independent geometric and supply data, and manufacturer-independent rules, allowing for adaptive and operator-modifiable configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual methods are used to generate pick & place machine-specific component data, then flexibility and adaptability are maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-generating and storing component data in generic formats with standardized parameters. When machine-specific data is needed, the system automatically transforms the pre-prepared generic data into machine-specific formats, eliminating the need for manual data generation at the time of production.
Solution Approach 2:
The system creates and maintains a library of generic component data that can be copied and adapted to different pick & place machines. Instead of manually creating data for each machine, the system copies generic component definitions and automatically generates machine-specific instances through parameter transformation.
2Adaptability or versatility
If generic component data is used across different pick & place machines, then data consistency is improved, but machine-specific requirements may not be met
Solution Approach 1:
The system applies local quality by maintaining generic component data with standardized parameters for consistency, while automatically transforming specific parameters to match each pick & place machine's unique requirements. This ensures that each machine receives data with the precise quality and format it needs while maintaining overall data consistency.
Solution Approach 2:
The system automatically changes parameters when transforming generic component data into machine-specific data. It maps generic parameters to machine-specific parameters, adjusting values and formats to meet each machine's requirements while maintaining the underlying component identity and consistency.
3Reliability
If comprehensive component data is stored for all machines, then data completeness is improved, but database complexity and storage requirements increase
Solution Approach 1:
The system segments component data into two distinct parts: generic component data that remains consistent across all machines, and machine-specific parameters that are generated on-demand. This segmentation reduces database complexity by storing generic data once while allowing flexible generation of machine-specific instances without duplicating the entire data set for each machine.
Data Source
AI summary
A method of manufacturing electronic circuits including generating CAD data, a bill of materials and an approved component vendor list for an electronic circuit and employing the CAD data, the bill of materials and the approved component vendor list for automatically generating a pick & place machine-specific component loading specification, a pick & place machine-specific component placement sequence and pick & place machine-specific component data for governing the operation of at least one specific pick & place machine in a manufacturing line.