Inline Blender Feedback Control for Chemical Concentration Precision
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Solution Overview
Problem
Existing inline blending technologies face challenges in maintaining precise concentrations of chemical mixtures, especially when components interact and affect each other's concentrations, leading to inaccuracies and difficulties in controlling the final blended product specifications.
Innovation Solution
The implementation of a single inline blender with a PID algorithm that adjusts the flow rates of chemical fluids based on real-time monitoring by multiple sensors, including conductivity, pH, and refractometry, to maintain target concentrations within narrow limits, regardless of variations in the source materials' assays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If standard inline blending processes are used to mix components based on volume or mass, then the blending process is simple and straightforward, but the concentration precision deteriorates when components interact and affect each other's assays
Solution Approach 1:
The patent implements a feedback control system where sensors continuously monitor the concentration of components in the blended mixture and provide real-time data to a controller. The controller adjusts the flow rates of individual components based on this feedback to maintain target concentrations within 0.008% w/w, resolving the contradiction by using feedback to achieve high precision without requiring complex pre-calibration of component interactions
Solution Approach 2:
The patent replaces traditional mechanical blending control (based on fixed volume or mass ratios) with an analytical control system using sensors and algorithms. Instead of relying on mechanical precision in flow control, the system uses optical, electrical, or other analytical methods to detect component concentrations and dynamically adjust blending ratios, achieving superior precision despite component interactions
2Manufacturing precision
If multiple blend points and complex metrology feedback systems are implemented to maintain precise concentrations, then concentration control improves, but device complexity and system cost increase
Solution Approach 1:
The patent merges multiple measurement functions into a single inline blending system. Instead of using separate blend points with individual feedback loops, the system combines real-time monitoring of multiple component concentrations at one location and uses a unified control algorithm to adjust all component flow rates simultaneously, achieving the same precision with reduced complexity
Solution Approach 2:
The patent creates a universal blending control system that can handle variable component interactions and different chemical compositions through a single configurable platform. The system uses a general-purpose algorithm that adapts to different blending scenarios without requiring dedicated hardware for each application, maintaining high precision while avoiding the need for multiple specialized systems
3Adaptability or versatility
If source materials' assays vary, then adaptability to different materials is improved, but maintaining target concentration precision becomes more difficult
Solution Approach 1:
The patent implements preliminary characterization of source materials by measuring the concentration of components in incoming materials before blending. This preliminary data is used to pre-adjust the blending algorithm parameters, allowing the system to adapt to variations in source material assays while maintaining precision. The system proactively compensates for assay variations rather than reacting to them during blending
Solution Approach 2:
The patent dynamically changes the operational parameters of the blending system based on measured source material assays. When source material concentrations vary, the system automatically adjusts flow rates, blending ratios, and control setpoints to maintain the target product concentration within 0.008% w/w, achieving both adaptability and precision through parameter optimization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach ensures that the final blended product maintains concentrations within 0.22% w/w of the target, improving precision and stability, even with changes in the source materials' assays, and reduces the need for multiple blend points and complex metrology feedback systems.
Implementation Method 1
a PID algorithm that adjusts the flow rates of chemical fluids based on real-time monitoring by multiple sensors, including conductivity, pH, and refractometry, to maintain target concentrations within narrow limits
Implementation Method 2
multiple sensors, including conductivity, pH, and refractometry
Implementation Method 3
multiple sensors, including conductivity, pH, and refractometry
Implementation Method 4
multiple sensors, including conductivity, pH, and refractometry
Data Source
AI summary
Methods and systems for high precision, continuous blending of mixtures, and particularly mixtures having at least two distinct chemical components, are disclosed. More particularly, the disclosed methods and systems provide high precision, continuous blending of buffered oxide etch mixtures containing water, ammonium fluoride, and hydrofluoric acid.