Sensor Distance Correction for Web Printing Press Tension Control
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Solution Overview
Problem
Web printing presses face challenges in accurately adjusting web tension due to variations, leading to image distortion and inefficiencies in manual correction processes, as existing automated systems are sensitive to tension variations and substrate thickness.
Innovation Solution
A system comprising sensors and an encoder within a web printing press to detect calibration marks and calculate a correction factor, converting measured sensor distances to calibrated sensor distances, thereby improving the accuracy of scaling measurements and web tension control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated control systems adjust tension based on scaling error detection, then image distortion can be corrected, but the system becomes sensitive to tension variations and substrate thickness leading to inaccurate adjustments
Solution Approach 1:
The patent introduces a mediator approach by using a known relationship between encoder counts and sensor distance as an intermediary conversion factor. Instead of directly adjusting tension based on potentially inaccurate scaling error detection, the system uses the encoder (which measures substrate advancement in terms of roller rotations) as an intermediary to calculate sensor distance more accurately, thereby improving both scaling error correction accuracy and tension control reliability
Solution Approach 2:
The patent replaces manual measurement methods with an automated encoder-based measurement system. The encoder, which mechanically measures the rotation of the substrate feed roller, substitutes for manual distance measurement and provides a more reliable and repeatable measurement of sensor distance, thereby improving the reliability of tension control adjustments
2Measurement precision
If manual processes are used to detect scaling error by cutting substrate and measuring distance, then measurement can be performed, but the process is inefficient and time-consuming
Solution Approach 1:
The patent implements self-service by enabling the printing press system to automatically measure and correct scaling errors without requiring manual intervention. The encoder automatically measures substrate advancement, the control system automatically calculates sensor distance and detects scaling errors, and the tension control system automatically adjusts parameters, thereby improving productivity while maintaining measurement precision
Solution Approach 2:
The patent enables continuous automatic measurement and correction during the printing process. Instead of stopping for manual measurement and correction, the system continuously monitors substrate advancement via the encoder, continuously calculates sensor distance, and continuously adjusts tension parameters, thereby maintaining productivity while ensuring consistent measurement precision
3Extent of automation
If sensor distance is measured based on substrate advancement through encoder counts, then automated control is enabled, but measurement sensitivity to tension variations and substrate thickness increases
Solution Approach 1:
The patent implements feedback by using the encoder to continuously monitor substrate advancement and feed this information back to the control system. The control system then uses this feedback to calculate sensor distance and detect scaling errors in real-time, enabling automated control while maintaining measurement precision through continuous monitoring and adjustment
Solution Approach 2:
The patent applies parameter changes by using the encoder count as a measurable parameter that changes with substrate advancement. The control system uses this parameter (encoder count) to calculate sensor distance and detect scaling errors, thereby enabling automated control while maintaining measurement precision through the use of a stable, measurable parameter that is less sensitive to tension variations and substrate thickness
Data Source
AI summary
Example implementations relate to determining a correction factor that converts a measured sensor distance (228) to a calibrated sensor distance (222). The measured sensor distance may be based on an amount of substrate advancement through a web printing press (202) between detecting a mark (226-1, . . . , 226-N) on the substrate (204) at a first sensor (212) and detecting the mark at a second sensor (214). The calibrated sensor distance (222) may be the separation between the first sensor and the second sensor.