Virtual Debris Simulator for Machined Cavity Cleaning
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Solution Overview
Problem
Machining operations in manufacturing high precision metal parts generate debris that often remains trapped within components, leading to assembly issues and system complications due to residual debris.
Innovation Solution
A method using a virtual debris clog-cleanse simulator that models debris movement within multidimensional designs to identify inaccessible areas and predict egress characteristics, allowing for optimized washing cycles to remove debris effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a washing cycle is performed to remove debris from machined components, then debris removal is improved, but inaccessible areas within cavities remain clogged with residual debris
Solution Approach 1:
The patent creates a virtual copy (digital twin) of the machined component's 3D model, including its internal cavities and geometry. Virtual debris particles are simulated within this digital replica to trace flow paths and identify inaccessible areas without physically accessing the actual component, thereby detecting clogging risks that washing cycles cannot reach.
Solution Approach 2:
The patent replaces physical inspection and trial washing cycles with computational fluid dynamics simulation. Instead of mechanically injecting water and observing results, the system uses virtual particle tracking algorithms to predict debris flow behavior, identify stagnant zones, and determine inaccessible areas before actual washing occurs.
2Productivity
If traditional washing cycles are used to clean machined components, then processing time is reduced, but debris remains trapped in inaccessible cavities causing assembly issues
Solution Approach 1:
The patent performs preliminary simulation and analysis of debris flow patterns before the actual washing cycle. By identifying inaccessible areas and problematic cavities in advance through virtual particle tracking, the system can pre-optimize washing parameters, inject locations, and hold times to ensure complete debris removal without extending the actual washing duration.
Solution Approach 2:
The simulation results provide feedback on washing cycle effectiveness by highlighting inaccessible areas and potential clogging zones. This feedback loop allows optimization of washing parameters (pressure, temperature, duration, inject locations) to achieve complete debris removal while maintaining efficient processing times.
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
The method effectively identifies and addresses debris clogging locations and enhances washing cycle efficiency, reducing the risk of debris-related issues in precision components by simulating debris and liquid particle movement using smoothed-particle hydrodynamics.
Implementation Method 1
simulating debris and liquid particle movement using smoothed-particle hydrodynamics
Data Source
AI summary
A method to identify possible debris clogging area in a machined object includes simulating movement of a plurality of debris particles provided within a modeled object having a plurality of cavities in accordance with a debris clogging evaluation to identify inaccessible areas along the plurality of cavities. The plurality of debris particles is indicative of solid debris and the modeled object is a multidimensional computer designed model. The method further includes determining an egress characteristic of the plurality of cavities based on the simulated movement of the plurality of debris particles. The egress characteristic includes a contact area, an obstruction area, or a combination thereof.