Simulation Suggestion Engine for Automated Design Validation
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Solution Overview
Problem
Novice users in design fields lack the knowledge to identify and set up appropriate simulations for computer-generated designs, leading to potential production issues and increased costs due to untested designs.
Innovation Solution
A computer-implemented method using a simulation suggestion engine to analyze designs, select suitable simulation tools, and display simulation information via a graphical user interface, automatically determining characteristics and loading simulation parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If novice users attempt to identify and set up simulations independently, then they can complete the design process, but the reliability of the design testing deteriorates due to lack of knowledge and experience
Solution Approach 1:
The patent introduces an intermediary system (simulation recommendation system) that acts as a mediator between novice users and simulation tools. This system automatically analyzes design data, recommends appropriate simulation types, and guides users through setup procedures, thereby maintaining testing reliability without requiring users to have expert knowledge.
Solution Approach 2:
The system enables self-service by allowing novice users to independently complete simulation setup and execution through automated guidance. The system analyzes design characteristics, selects appropriate simulation tools, and provides step-by-step instructions, enabling users to perform reliable testing without external expert assistance.
2Manufacturing precision
If expert knowledge is required to select appropriate simulations, then the quality of simulation selection improves, but the device complexity increases due to need for expert systems
Solution Approach 1:
The patent replaces the mechanical system of expert human analysis with an automated computer-based analysis system. The system uses algorithms to analyze design data, identify relevant characteristics, and recommend simulations, thereby achieving expert-level selection precision without the complexity of human expert systems.
Solution Approach 2:
The system changes parameters by automatically extracting and analyzing design characteristics from design data. It transforms raw design information into structured parameters that can be evaluated against simulation criteria, enabling precise simulation selection through automated parameter analysis rather than expert judgment.
3Ease of operation
If simulations are skipped to simplify the process, then the ease of operation improves, but the reliability of design validation deteriorates
Solution Approach 1:
The system performs preliminary action by automatically analyzing design characteristics and recommending appropriate simulations before the user commits to the design. This advance analysis ensures that necessary validation simulations are identified and executed, maintaining reliability while keeping the overall process simple for the user.
Data Source
AI summary
A simulation suggestion system comprising a server connected with a plurality of clients via a network. The server executes a design engine for generating designs, a simulation suggestion engine for identifying suggested simulations for the designs, and a simulation engine for performing the suggested simulations on the designs. The simulation engine includes one or more simulation tools for performing one or more suggested simulations on a design. A user completes a design of an object via the design engine. The simulation suggestion engine automatically identifies one or more simulation tools that are appropriate for the completed design based on at least one characteristic of the design. The simulation suggestion engine automatically identifies and loads simulation parameters (boundary conditions) for the suggested simulation tools. The suggested simulation tools are then performed on the completed design via the simulation engine.