Shaped Body Design Optimization via Automated Parameter Simulation
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Solution Overview
Problem
Current methods for designing components and manufacturing processes, such as those for catalysts and shaping tools, are time-consuming, costly, and complex due to the need for iterative calculations and expert input from fields like mechanical engineering and chemistry, requiring significant computational resources.
Innovation Solution
A computer-implemented method that retrieves target criteria, defines seed geometries, generates parameters, simulates variations to meet these criteria, and determines lead candidate geometries for shaped bodies and shaping tools, optimizing their design within predetermined tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional iterative design methods are used for shaped bodies and manufacturing tools, then design accuracy and performance optimization are improved, but research lead time and computational resources are significantly increased
Solution Approach 1:
The patent applies preliminary action by pre-defining target criteria, seed geometries, and parameter sets before the optimization process begins. This allows the simulation to directly evaluate and compare design alternatives against predetermined specifications, eliminating the need for iterative manual adjustments and expert interventions, thereby reducing research lead time while maintaining design accuracy.
2Manufacturing precision
If complex design simulations with multiple parameters are performed, then design quality and criteria fulfillment are improved, but computational cost and complexity are increased
Solution Approach 1:
The patent segments the design optimization process into distinct components: target criteria definition, seed geometry selection, parameter generation, simulation execution, and result evaluation. Each component is independently defined and processed, allowing complex multi-parameter simulations to be systematically managed and computed efficiently without requiring excessive computational resources.
3Reliability
If expert input from multiple fields is required for design optimization, then design reliability and performance are improved, but process complexity and cost are increased
Solution Approach 1:
The patent implements self-service by enabling the optimization system to automatically define target criteria, generate design parameters, execute simulations, and evaluate results without requiring external expert input. The system uses predetermined specifications and automated algorithms to ensure design reliability, eliminating the need for manual expert interventions from multiple fields while reducing process complexity and cost.
Data Source
AI summary
A computer-implemented method (110) for designing at least one shaped body (112), a computer-implemented method (138) for designing a manufacturing process for manufacturing at least one shaped body (112), a designing system (152) for designing at least one shaped body (112) and a manufacture-designing system for designing a manufacturing process for manufacturing at least one shaped body (112). The computer-implemented method (110) for designing at least one shaped body (112) comprises: a) retrieving, by using at least one interface (154), at least one set of target criteria for the shaped body (112); b) defining, by using at least one geometry defining unit (156), at least one seed geometry for the shaped body (112); c) generating, by using at least one parameter generating unit (158), a set of parameters comprising at least one geometry parameter of the seed geometry; d) simulating, by using at least one simulation unit (160), the shaped body by varying values of the set of parameters and by corn-paring simulated criteria for these values with the set of target criteria, thereby generating at least one adapted set of parameters for which the target criteria are fulfilled at least within predetermined tolerances; and e) determining, by using at least one lead candidate geometry defining unit (162), at least one lead candidate geometry of the at least one shaped body (112) from the adapted set of parameters.