Component Supply Apparatus Deviation Prediction
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Solution Overview
Problem
Existing component mounting systems face accuracy issues due to production dimension errors in gear eccentricity, leading to inaccurate component supplying positions, as the mean value of deviation amounts approaches zero, making it difficult to correct deviations effectively.
Innovation Solution
A component supplying apparatus with a predicting means that uses a model formula to forecast deviation amounts based on periodical fluctuations caused by the transmitting mechanism, allowing for compensation of these deviations to ensure accurate component placement on a circuit board, even with gear eccentricity errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a reducer with gears is used to transmit power from the motor to the sprocket, then the rotational speed is reduced and torque is increased, but production dimension errors and gear eccentricity cause inaccurate stopping positions and component supplying positions
Solution Approach 1:
The system uses feedback control by detecting the actual stopping position of the sprocket and comparing it with the target position. The deviation is calculated and used to adjust the tape feeding amount, thereby compensating for the positioning errors caused by gear eccentricity and manufacturing tolerances in the reducer.
Solution Approach 2:
The system replaces pure mechanical positioning with a hybrid control approach that uses sensors and control algorithms. Instead of relying solely on mechanical precision of the reducer and gears, the system uses detection and calculation mechanisms to compensate for mechanical errors, substituting mechanical precision requirements with control system intelligence.
2Ease of operation
If the mean value of deviation amounts is used for correction, then the correction amount approaches zero over time, but this makes it difficult to correct the periodical deviations caused by gear eccentricity
Solution Approach 1:
The system introduces an intermediary calculation mechanism that processes deviation data differently. Instead of directly using the mean value, it calculates the difference between the mean value and the target value, and uses this difference as the correction amount. This intermediary step preserves the periodical correction information that would otherwise be lost in simple averaging.
Solution Approach 2:
The system performs preliminary calculation of the correction amount based on the relationship between the mean deviation and target value before actual positioning occurs. This preliminary action ensures that the correction is proactively applied rather than reactively adjusted, maintaining continuous positioning accuracy.
Data Source
AI summary
A component supplying apparatus includes a motor, a rotating body, a transmitting mechanism, and a predicting section. The rotating body engages with a carrier tape in which a plurality of components to be mounted on a circuit board by a component mounting apparatus are accommodated at predetermined pitches and pays out the carrier tape at the predetermined pitches for supplying the plurality of components. The transmitting mechanism transmits a driving force of the motor to the rotating body. The predicting section predicts a deviation amount of a supplying position of each of the plurality of components based on a model formula expressing a periodical fluctuation of the supplying position of each of the plurality of components that is due to the transmitting mechanism and caused at a time the carrier tape is paid out by the rotating body.


