Laser Machining Teaching Interface for Cycle Time Synchronization
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Solution Overview
Problem
Laser machining systems face inefficiencies in reducing cycle time due to the need for operator adjustments in machining path and order, leading to desynchronization between robot and scanner operations, resulting in increased machining time.
Innovation Solution
A teaching device with a graphical user interface processing unit that optimizes machining periods and non-machining periods, allowing for the grouping and ordering of welding points to minimize cycle time by determining suitable robot paths and operation speeds, and correcting execution time deviations between robot and scanner operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operator manually adjusts machining path and order using teaching device, then machining cycle time can be reduced, but operation complexity and time consumption increase
Solution Approach 1:
The system pre-calculates and stores multiple optimized machining paths and orders in advance. The teaching device automatically selects and applies these pre-prepared paths based on workpiece specifications, eliminating the need for operators to manually adjust parameters during operation. This resolves the contradiction by providing productivity improvement through automated selection of optimal paths without requiring complex manual intervention.
Solution Approach 2:
The teaching device automatically determines machining paths and sequences by itself based on stored data and current requirements, without requiring operator adjustment. The system self-optimizes the machining process by automatically selecting from pre-calculated paths, thereby reducing both operation complexity and time consumption while maintaining high productivity.
2Adaptability or versatility
If robot and scanner operations are not synchronized, then system flexibility is maintained, but machining precision and efficiency deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms that monitor the actual execution times of robot and scanner operations. Based on this feedback, the teaching device automatically adjusts and corrects timing deviations, ensuring synchronized operation. This maintains machining precision while preserving system flexibility, as the synchronization is achieved through automated feedback control rather than rigid fixed timing.
Solution Approach 2:
The system dynamically adjusts the timing and sequencing of robot and scanner operations based on real-time conditions and measured execution variations. Rather than using fixed static timing, the teaching device optimizes operational sequences dynamically, maintaining synchronization and precision while adapting to different machining scenarios and preserving system flexibility.
3Reliability
If multiple machining points are processed sequentially, then machining completeness is ensured, but total machining time increases
Solution Approach 1:
The system segments the machining process into multiple optimized paths, each handling specific groups of machining points. By dividing the total machining task into segments that can be executed in optimized sequences, the system ensures all points are covered (completeness) while minimizing total time through efficient segmentation and ordering of operations.
Solution Approach 2:
The teaching device determines optimal machining paths in multi-dimensional space, considering spatial relationships between machining points. By analyzing and optimizing paths across multiple dimensions (position, sequence, timing), the system reduces total machining time while ensuring all points are processed, transforming the sequential one-dimensional process into an optimized multi-dimensional solution.
Data Source
AI summary
A teaching device for a laser machining system which performs laser machining on a workpiece while moving an irradiation position of laser light using a robot includes a graphical user interface processing unit which displays machining periods, in each of which machining is performed by irradiating a corresponding one of a plurality of machining points set for the workpiece with the laser light while the robot moves along a machining path, and non-machining intervals between the machining periods of the machining points arranged in time series in a band-like region in a distinguishable manner.