Automated Trajectory Optimization for Press Component Handling
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Solution Overview
Problem
Existing methods for optimizing the trajectory of components in production machines, such as presses, require manual intervention and are cumbersome, often necessitating experienced staff to prevent collisions and ensure efficient component handling.
Innovation Solution
An automated method and computer program product that utilize an optimization routine and simulation program to calculate an optimized trajectory, which is intuitive and simple for users, by modifying initial trajectories based on geometric and time-dependent boundary conditions to minimize collision risks and optimize movement speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual trajectory optimization is performed by qualified staff using simulation programs, then collision prevention and trajectory accuracy are improved, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs automated trajectory optimization using an optimization routine that independently calculates optimal trajectories based on boundary conditions, eliminating the need for manual intervention by qualified staff while maintaining high accuracy
Solution Approach 2:
The manual mechanical process of trajectory optimization by staff is replaced by an automated computer-based optimization routine that uses algorithms to calculate optimal trajectories, significantly reducing time while maintaining precision
2Reliability
If manual trajectory modification is performed to improve simulated trajectories, then collision prevention is improved, but the process requires experienced and qualified staff
Solution Approach 1:
The optimization routine automatically detects and prevents collisions by calculating trajectories that satisfy boundary conditions, eliminating the need for experienced staff to manually modify trajectories
Solution Approach 2:
The system uses feedback from simulation results to automatically adjust and optimize trajectories, with the optimization routine learning from boundary condition violations to prevent future collisions
3Productivity
If automated optimization routine is used to calculate optimized trajectory, then optimization time is reduced and intuitive operation is achieved, but manual fine-tuning capability may be limited
Solution Approach 1:
The optimization routine performs preliminary automated optimization to generate an initial optimal trajectory, which can then be reviewed and adjusted by users if needed, combining automation efficiency with user control
Solution Approach 2:
The system allows dynamic adjustment between fully automated optimization and manual fine-tuning modes, enabling users to intervene when desired while maintaining automated efficiency for routine operations
Data Source
AI summary
A method for calculating an optimized trajectory via a simulation program and an optimization routine, wherein the trajectory is provided via the simulation program and adapted to boundary conditions, where the method includes a loop in which, as individual steps, a first trajectory is provided, a further trajectory, and the adaptation of the further trajectory is modified based on the boundary conditions, such that the optimized trajectory is a trajectory which has been provided based on an extremal or predetermined parameter, where the optimized trajectory is provided after the calculation by a control device for moving a holder for a component, and where at least one component and the production machine are displayed in a 3D display.