Adhesive Dispensing Control Using Predictive Parameter Modeling
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Solution Overview
Problem
Existing methods for optimizing the dispensing of adhesives from dispensing devices are inefficient due to manual adjustments, which are slow and imprecise, and automatic processes that rely on feedback loops and are prone to errors, leading to waste and suboptimal production.
Innovation Solution
A method and system that use a processor to obtain target parameter values and local parameter values, generate a model describing the relationships between these parameters and intrinsic adhesive properties, and determine controllable settings for the dispensing device to achieve desired adhesive properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of dispensing parameters is used, then the operator can adapt to changing conditions, but the adjustment process is slow and lacks precision
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated control system that uses sensors to detect adhesive properties and a controller to automatically adjust dispensing parameters. This substitution eliminates the limitations of human perception and manual adjustment while maintaining adaptability to changing conditions.
Solution Approach 2:
The patent implements a feedback loop where sensors continuously monitor adhesive properties (such as viscosity, temperature, or flow rate) and provide real-time data to the controller. The controller then automatically adjusts dispensing parameters based on this feedback, enabling precise and rapid adaptation to changing conditions without manual intervention.
2Productivity
If automatic feedback loop processes are used, then adjustment speed improves, but errors occur and deviations are only detected after production waste has occurred
Solution Approach 1:
The patent performs preliminary action by continuously monitoring adhesive properties before dispensing occurs and detecting deviations from target parameters in real-time. This allows the system to identify and correct issues before they result in production waste, rather than waiting for post-dispensing detection as in traditional feedback loops.
Solution Approach 2:
The patent implements continuous real-time feedback monitoring of adhesive properties during the dispensing process. Sensors detect deviations immediately when they occur, and the controller responds by adjusting parameters before significant waste accumulates, improving both reliability and timeliness of correction compared to traditional periodic feedback systems.
3Extent of automation
If traditional feedback loops are used, then automatic control is achieved, but deviations are not detected until after they affect production quality
Solution Approach 1:
The patent implements continuous real-time feedback monitoring that detects deviations from target adhesive properties immediately when they occur during the dispensing process. This continuous monitoring enables the system to respond and correct deviations before they affect production quality, significantly reducing the time loss compared to traditional periodic or post-process detection methods.
Solution Approach 2:
The system performs preliminary detection and correction actions by monitoring adhesive properties in real-time before deviations result in defective products. This proactive approach allows the automated system to prevent quality issues rather than merely responding to them after detection, reducing both time loss and waste.
Data Source
AI summary
The present disclosure provides a method and system for optimizing the dispensing of an adhesive from a dispensing device comprising a controllable setting. It consists in obtaining target parameters for a parameter of a structure formed by the adhesive after it is dispensed. Then a value of a local parameter near the dispensing device is obtained, which is a physical parameter of the adhesive in the dispensing device, an environmental condition near the dispensing device or a mechanical parameter of the dispensing device. Then a model of relationships between the local parameter, the parameter of the structure and intrinsic properties of the adhesive is generated. Using this model and the obtained values, a controllable setting for operating the dispensing device is determined to form a structure after dispensing of the adhesive that satisfies the target parameter.