Automated Trajectory Optimization for Press Brakes
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Solution Overview
Problem
The manual optimization of component trajectories in production machines, such as presses, is labor-intensive and requires experienced personnel, as existing methods lack automation for calculating optimized paths to prevent collisions with the press and its tools.
Innovation Solution
A method involving a simulation program with an optimization routine that iteratively adjusts trajectory parameters to achieve an optimized path by simulating component insertion and removal, using a loop to refine the trajectory until it meets specified or extreme values, ensuring efficient and collision-free movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual optimization of trajectory is performed by qualified personnel, then the trajectory can be improved to prevent collisions, but the process becomes labor-intensive and requires experienced personnel
Solution Approach 1:
The system performs self-optimization of trajectories through automated simulation and evaluation. The control device automatically calculates optimal trajectories by simulating component insertion and removal processes, evaluating collision risks, and adjusting parameters without requiring manual intervention from qualified personnel, thereby eliminating the dependency on expert operators while maintaining high reliability
Solution Approach 2:
The manual mechanical process of trajectory optimization by personnel is replaced with an automated computational system. The control device uses simulation programs and optimization algorithms to automatically generate and refine trajectories, substituting human expertise with automated computational analysis and decision-making
2Reliability
If manual trajectory calculation and modification is performed, then suitable paths can be found to avoid collisions, but the process is laborious and time-consuming
Solution Approach 1:
The system performs preliminary simulation and optimization of trajectories before actual production operations. The control device pre-calculates optimal paths by simulating the insertion and removal processes, identifying potential collision risks in advance, and adjusting trajectories proactively, thereby avoiding time-consuming manual modifications during actual operations
Solution Approach 2:
The optimization process operates continuously and iteratively through automated simulation loops. The control device continuously refines trajectories by repeatedly simulating component movement, evaluating collision risks, and adjusting parameters until optimal paths are found, eliminating interruptions and manual rework cycles
3Productivity
If automated trajectory optimization is implemented, then productivity increases and expertise requirement decreases, but the system complexity increases
Solution Approach 1:
The control device integrates multiple functions into a single unified system. It combines simulation capabilities, collision detection, trajectory optimization, and parameter adjustment in one automated platform, allowing the system to perform multiple tasks that would otherwise require separate tools and personnel, thereby managing complexity through functional integration
Data Source
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AI summary
The invention relates to a method for calculating an optimized trajectory (T_opt) using a simulation program (S) and an optimization routine (Opt). During the method, the trajectory (T, T1, Tw) is provided using a simulation program (S) and adapted to boundary conditions (RB). The method comprises a loop, the loop consisting of the following steps: - providing a first trajectory (T1), - modifying a (further) trajectory (T1, Tw), - and adapting the (further) trajectory (Tw, T) based on boundary conditions (RB). The optimized trajectory (T_opt) is a trajectory (T, Tw) that has been provided based on an extremal or predetermined parameter (v', v_ex). The optimized trajectory (T_opt) is provided after the calculation of a control device (11) for moving a bracket (7) for a component (9).