CNC Positioning Path Optimization via Kinematic Simulation
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Solution Overview
Problem
Current CNC machine technologies require significant user interaction and trial-and-error to generate safe and efficient positioning paths, which are often machine-specific and not optimized, leading to longer machining times and potential collisions.
Innovation Solution
A method for automatically generating positioning path data for CNC machines by determining start and goal configurations, identifying valid paths through machine configuration space sampling, and simulating machine constraints to ensure collision-free and time-optimal paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CAD/CAM software is used to generate positioning paths, then user interaction and trial-and-error are required to ensure safety, but this leads to increased user interaction time and potential collisions
Solution Approach 1:
The system performs self-verification by automatically simulating positioning paths against machine constraints and collision scenarios without requiring user intervention. The path planning algorithm independently generates and validates paths, eliminating the need for manual trial-and-error testing while ensuring collision-free operation.
Solution Approach 2:
The system performs preliminary simulation and validation of positioning paths before actual machine execution. By pre-verifying paths against machine constraints, axis limits, and collision scenarios, the system eliminates the need for post-generation adjustments and user interaction, directly resolving the contradiction between reliability and time loss.
2Reliability
If machine-specific positioning paths are generated through trial-and-error, then safety can be achieved, but the paths are not optimized and machining times are longer
Solution Approach 1:
The system optimizes positioning paths by dynamically adjusting motion parameters such as velocity profiles, acceleration rates, and path geometry within the simulated environment. By changing these parameters during simulation, the system generates both safe and time-optimal paths that are specific to each machine's capabilities without requiring trial-and-error on the actual machine.
Solution Approach 2:
The system employs dynamic path optimization by simulating machine-specific constraints and capabilities to generate adaptive positioning paths. The algorithm dynamically adjusts path characteristics based on simulated machine responses, achieving both safety and productivity optimization simultaneously without manual intervention.
3Productivity
If positioning paths are optimized for one CNC machine, then machining efficiency improves, but the paths cannot be used on different machines without re-adjustment
Solution Approach 1:
The system creates universal positioning paths by simulating multiple machine configurations and generating paths that adapt to different machine constraints. The path planning algorithm incorporates machine-specific parameters during simulation, allowing the same planning system to generate optimized paths for various machines without requiring manual re-adjustment, thus achieving both productivity and adaptability.
4Productivity
If rapid motion is used for positioning paths, then machining time is reduced, but the risk of tool or workpiece collision increases
Solution Approach 1:
The system performs preliminary collision simulation at high speeds before actual execution. By pre-testing rapid positioning paths against machine constraints and potential collision scenarios in the simulated environment, the system identifies and corrects collision risks before they occur on the actual machine, enabling safe rapid motion without increasing collision risk.
Data Source
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AI summary
Optimized positioning paths for multi-axis CNC machining can be generated based on the machine tool kinematics, machine axes travel limits, machine axis velocity and acceleration limits, and machine positioning methodologies. Machine axes travel limits and machine positioning methodologies are incorporated in order to ensure that the developed positioning paths do not violate machine axes travel limitations. Multi-axis positioning paths are developed to avoid collisions with dynamically changing in-process stock and other surroundings, including fixtures and both moving and non-moving components of the machine. Positioning tool path customizations give the user the flexibility to apply safety based constraints to the automatically generated tool paths. The disclosed automatic positioning path planning and optimization methods are used to develop a process for part manufacturing using CNC machining in order to reduce the manufacturing cycle time.