Substrate Work Machine Automatic Data Correction
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Solution Overview
Problem
Existing substrate work machines face errors and defective boards due to mismatched component data, which are often corrected manually, leading to decreased production efficiency and reliability.
Innovation Solution
A substrate work machine with a data correcting system that automatically adjusts component data based on measurement data and work quality information from upstream or downstream machines, ensuring high reliability by correcting reference values and tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If component data is corrected manually to match actual component state, then work errors are reduced, but production efficiency decreases and reliability may deteriorate if corrected carelessly
Solution Approach 1:
The system enables component data to be automatically corrected through self-service mechanisms. The component mounter automatically acquires measurement data, compares it with reference values, and corrects deviations without manual intervention. This eliminates the need for skilled operators to manually correct data, thereby maintaining production efficiency while ensuring reliable corrections through automated comparison with actual component measurements.
Solution Approach 2:
The system implements feedback by continuously acquiring measurement data from actual components and using this information to correct component data. The control section compares measurement data with reference values and automatically adjusts the data when deviations are detected. This closed-loop feedback mechanism ensures that component data remains accurate and up-to-date, reducing work errors while maintaining high production efficiency.
2Reliability
If tolerance is set strictly to ensure high reliability, then component quality is improved, but work errors increase when manufacturer or lot changes occur
Solution Approach 1:
The system applies dynamics by making the tolerance range adjustable rather than fixed. When measurement data shows deviations from reference values, the system automatically adjusts the tolerance range to accommodate variations from different manufacturers or lots. This dynamic adjustment maintains high reliability by ensuring components meet quality standards while adapting to changes in component sources, thereby preventing work errors when manufacturer or lot changes occur.
Solution Approach 2:
The system changes parameters by automatically adjusting tolerance values based on measurement data. When components from different manufacturers or lots are detected, the control section modifies the tolerance parameters to match the actual component variations. This parameter change approach ensures that strict quality control is maintained while accommodating natural variations between different component batches, thus preventing work errors without compromising component quality.
3Productivity
If automated correction of component data is implemented, then production efficiency is improved, but reliability may be compromised without proper quality information verification
Solution Approach 1:
The system performs preliminary action by acquiring work quality information from upstream or downstream equipment before correcting component data. The control section retrieves measurement data and quality metrics in advance, then uses this information as a basis for automated correction. This preliminary verification ensures that automated corrections are reliable and based on actual component measurements and process quality data, preventing erroneous corrections while maintaining high production efficiency.
Data Source
AI summary
A substrate work machine for repeatedly performing substrate work, the substrate work machine including a data storing section configured to store component data used in the substrate work, the component data including shape data related to a shape of an electronic component to be mounted on a substrate, a reference value and a tolerance; a data determining section configured to determine whether a difference between measurement data acquired by measuring the electronic component during the substrate work and the reference value of the component data is within a range of the tolerance; a quality information acquiring section configured to acquire work quality information related to a performance condition of a second substrate work machine; and a data correcting section configured to correct at least one of the reference value and the tolerance in accordance with the work quality information.