Dynamic Enzyme Blend Selection for Variable Pulp Fiber Dosing
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Solution Overview
Problem
Conventional paper making processes face inefficiencies due to variability in fiber properties, leading to incorrect enzyme dosing, resulting in waste and reduced efficiency, as existing methods focus on single aspects of enzyme selection and formulation rather than providing a holistic approach.
Innovation Solution
A system utilizing a database of fiber and system data to adjust enzyme dosing in real-time through algorithms, incorporating feedback from online sensors and data analytics, optimizing enzyme blends and doses based on fiber surface characterization, quality analysis, and physical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional enzyme dosing methods are used, then the process is simple and easy to operate, but enzyme dosing is suboptimal leading to waste and reduced efficiency
Solution Approach 1:
The system implements real-time feedback loops where online sensors monitor fiber properties and process conditions, and this data is fed back to the control system to dynamically adjust enzyme dosing. This closed-loop feedback mechanism enables continuous optimization of enzyme usage based on actual process performance and fiber characteristics.
Solution Approach 2:
The enzyme dosing system transitions from static, fixed dosing schedules to dynamic, real-time adjustments. The system continuously adapts enzyme formulation and dosing rates based on real-time fiber characterization data, process conditions, and performance feedback, allowing the system to respond dynamically to changing requirements.
Solution Approach 3:
The system changes multiple process parameters simultaneously including enzyme type, dosing rate, and formulation composition based on fiber properties and process conditions. By dynamically adjusting these parameters rather than maintaining fixed values, the system optimizes enzyme efficiency while managing complexity through integrated control.
2Adaptability or versatility
If fiber properties are standardized, then enzyme selection is simplified, but fiber variability introduces inherent process challenges
Solution Approach 1:
The system performs preliminary fiber characterization using online sensors and databases to establish baseline fiber properties before enzyme dosing begins. This preliminary data collection and analysis enables the system to pre-determine optimal enzyme selections and dosing strategies, reducing variability impacts and improving process reliability through proactive adaptation.
Solution Approach 2:
The system applies different enzyme formulations and dosing strategies tailored to specific fiber types and properties rather than using a uniform approach. By customizing the enzyme treatment to match the specific characteristics of each fiber batch, the system maintains high adaptability while improving reliability through localized optimization.
3Manufacturing precision
If manual enzyme dosing is used, then system complexity is low, but dosing precision and optimization are insufficient
Solution Approach 1:
The system replaces manual mechanical dosing controls with automated computer-controlled dosing systems that use algorithms and real-time data processing. This substitution enables precise, repeatable dosing decisions based on fiber characterization and process conditions, achieving high manufacturing precision while managing complexity through digital control rather than mechanical complexity.
Data Source
AI summary
Systems and methods as disclosed herein automatically provide real-time dosing corrections for an industrial process wherein enzyme blends are applied to natural fibers for pulp/paper production. An initial enzyme blend (e.g., enzymes and supporting formulation components, as relevant) and respective dose rates are selected to be applied based on expected fiber surface substrate characterization, expected fiber quality characterization, the physical conditions of the system being treated, respective characteristics of the initially selected enzyme blend components, etc. Upon application of the initial enzyme blend, online sensors provide real-time feedback data corresponding to measured actual values for the fiber surface substrate characterization and fiber quality characterization. A replacement enzyme blend (enzymes and supporting formulation components) and respective dose rates thereof is dynamically selected based on the feedback data. The enzyme dosing stage can be optimized responsive to product changes and/or variations in fiber sources/blend and/or physical conditions, substantially in real time.