Sorbent Module Precision Recharging via Manufacturing Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current sorbent material recharging systems do not account for manufacturing characteristics, leading to excessive use of recharge solutions, increased costs, and time-consuming processes due to conservative estimates.
Innovation Solution
A system and method for precision recharging of sorbent materials within a sorbent module, where recharge parameters such as time, volume, and concentration of recharge solutions are set based on specific manufacturing characteristics of the sorbent materials, including zirconium phosphate and zirconium oxide, using a processor and recharge solution sources connected to the sorbent module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conservative estimates or worst-case scenario estimates are used for manufacturing characteristics, then reliability of recharging process is improved, but quantity of recharge solution used increases and cost increases
Solution Approach 1:
The patent applies parameter changes by transitioning from fixed conservative estimates to dynamic parameters based on actual manufacturing characteristics. The system reads specific manufacturing data (mass, capacity, particle size) from the sorbent module and adjusts recharge solution volume, concentration, and flow rate accordingly, resolving the contradiction between reliability and excessive solution usage.
Solution Approach 2:
The patent implements feedback by reading manufacturing characteristics from the sorbent module and using this information to adjust recharge parameters. The processor receives manufacturing data, processes it to determine optimal recharge parameters, and applies these parameters in real-time, eliminating the need for conservative overestimation while maintaining reliable recharging.
2Reliability
If conservative estimates or worst-case scenario estimates are used for manufacturing characteristics, then reliability of recharging process is improved, but loss of time increases due to more time-consuming processes
Solution Approach 1:
The patent changes the parameter basis from fixed conservative time estimates to dynamic time parameters derived from actual manufacturing characteristics. By reading mass, capacity, and particle size data, the system calculates precise recharge times, avoiding the time waste associated with conservative overestimation while ensuring reliable recharging completion.
Solution Approach 2:
The system uses feedback from manufacturing characteristics to optimize recharging time. The processor receives manufacturing data, processes it to determine the minimum necessary recharge time, and adjusts the process accordingly, eliminating unnecessary time delays while maintaining reliability through data-driven decision-making.
3Reliability
If conservative estimates or worst-case scenario estimates are used for manufacturing characteristics, then reliability of recharging process is improved, but manufacturing precision requirements increase
Solution Approach 1:
The sorbent module provides its own manufacturing characteristic data (mass, capacity, particle size) through embedded readable components. This self-service approach eliminates the need for external conservative estimates, allowing the recharging system to use actual manufacturing precision data directly, thereby maintaining reliability without imposing additional precision requirements.
Solution Approach 2:
The system implements feedback by reading actual manufacturing characteristics from the sorbent module and using this information to set appropriate recharge parameters. This feedback loop eliminates the need for conservative manufacturing precision assumptions, as the system adapts to the actual precision of each specific module.
4Productivity
If actual values for manufacturing characteristics are used, then productivity of recharging process is improved, but measurement precision requirements increase
Solution Approach 1:
The sorbent module contains embedded readable components that automatically provide manufacturing characteristic data (mass, capacity, particle size). This self-service mechanism eliminates the need for separate measurement processes, improving productivity by providing data instantly without requiring high external measurement precision infrastructure.
Solution Approach 2:
The manufacturing characteristics are copied into readable components during manufacturing and stored with the sorbent module. This copying approach allows the recharging system to access accurate manufacturing data without performing new measurements, thereby improving productivity while reducing measurement precision requirements during the recharging process.
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 allows for accurate, efficient, and economical recharging of sorbent materials, reducing waste and chemical usage by tailoring the recharging process to the unique characteristics of each sorbent module, thereby optimizing the recharging process.
Implementation Method 1
The zirconium phosphate removes cations, such as potassium, calcium, magnesium, and ammonium ions from spent dialysate. Zirconium oxide removes anions, such as phosphate or fluoride anions from spent dialysate.
Implementation Method 2
at least one pump in the recharging flow path for providing recharge solution to the sorbent module
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
The invention relates to devices, systems, and methods for precision recharging of sorbent materials in a sorbent module. The devices, systems, and methods use manufacturing characteristics of the sorbent module to set recharge parameters used in recharging the sorbent material.