Template-Based Crystallization Modeling for Faster Process Simulation
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Solution Overview
Problem
Existing digital process modeling and simulation technologies for crystallization processes are costly and require expertise, making it difficult for general researchers to create accurate models without case-specific equipment elements and expertise.
Innovation Solution
A template-based method for generating a crystallization process model using solubility, particle size distribution, crystallization device, process time, and concentration factor templates, allowing basic researchers to build and simulate crystallization processes efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert-based digital process modeling is used, then modeling accuracy is improved, but cost and time consumption increase significantly
Solution Approach 1:
The patent pre-establishes multiple crystallization process models covering different scenarios and equipment types before actual use. These models are prepared in advance with various parameters and conditions, so when a user needs modeling, they can directly select and apply a pre-built model rather than creating one from scratch, significantly reducing time consumption while maintaining accuracy
Solution Approach 2:
The patent creates standardized template models that can be copied and reused for different crystallization processes. Instead of developing unique models for each case, the system uses replicable model templates that capture essential crystallization behavior, allowing rapid deployment of accurate models without repeated expert intervention
2Measurement precision
If expert-based digital process modeling is used, then modeling accuracy is improved, but cost increases significantly
Solution Approach 1:
The patent enables non-expert users to independently select and apply pre-built crystallization models through a user-friendly interface. Users can autonomously configure model parameters and run simulations without requiring expert intervention, eliminating the need to pay for expert services while still achieving accurate modeling results through the standardized model templates
3Measurement precision
If case-specific equipment elements are included, then model accuracy for specific equipment is improved, but device complexity increases
Solution Approach 1:
The patent divides crystallization equipment into standardized modular components with defined characteristics. Each equipment type is represented by discrete model elements that can be independently configured and combined, reducing overall model complexity while maintaining accuracy for specific equipment through modular assembly rather than monolithic complex models
Solution Approach 2:
The patent develops universal model templates that can represent multiple equipment types and configurations through parameter adjustment rather than requiring separate specialized models for each equipment variant. This multi-functionality reduces the number of complex models needed while maintaining accuracy across different crystallization equipment
Data Source
AI summary
The present application provides method for operating a crystallization process model generating device. The method includes receiving selections of a solubility template, a particle size distribution template, a crystallization device template, a process time template, and a concentration factor template provided in a certain order, respectively, performing modeling of a crystallization process model by combining the selected templates, and when the crystallization process model is built, receiving an input of a condition for an injection liquid to perform a simulation for deriving a crystal suspension by inputting the injection liquid into the crystallization process model.