Laser Cutting Condition Tables for Stable Robotic Track Accuracy
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Solution Overview
Problem
Laser cutting of complex shapes with irregular surfaces is challenging due to the need for frequent changes in machining conditions, leading to deviations in the laser machining head's track and increased processing time on flat surfaces, making it difficult to set stable cutting conditions.
Innovation Solution
A laser cutting device and method that utilize a control unit to select machining condition tables based on material and plate thickness, adjusting cutting speed and laser power output to maintain given finishing conditions, ensuring stable operation and efficient cutting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the laser machining head is moved at high speed on flat surfaces to reduce processing time, then productivity is improved, but when machining complex shapes with irregular surfaces requiring frequent changes in machining conditions, the track accuracy deteriorates and the system becomes difficult to operate
Solution Approach 1:
The system pre-calculates and stores optimal machining conditions (laser power, cutting speed, focus position) in machining condition tables before actual cutting. The controller automatically selects and applies the appropriate conditions based on the current position and machining parameters, eliminating the need for manual adjustment during operation.
Solution Approach 2:
The laser machining robot automatically adjusts its own machining conditions by referencing pre-stored tables. The system self-regulates laser power output, cutting speed, and focus position based on real-time position feedback and pre-programmed parameters, without requiring external intervention or manual reconfiguration.
2Adaptability or versatility
If multiple drive shafts are operated in coordinated manner to change tilt angle for conforming to irregular work surface, then adaptability is improved, but the track of movement deviates from prescribed track
Solution Approach 1:
The system pre-calculates the required tilt angle and corresponding machining conditions for each position on the workpiece surface before cutting begins. These pre-calculated parameters are stored in machining condition tables, allowing the robot to execute precise coordinated movements without real-time calculation delays or tracking deviations.
Solution Approach 2:
The system continuously monitors the actual position of the laser machining head and compares it with the prescribed track. Based on this feedback and the pre-stored machining condition tables, the controller automatically adjusts the drive shafts to maintain both the correct tilt angle for surface conformity and accurate tracking of the cutting path.
3Productivity
If cutting speed is increased to reduce processing time, then productivity is improved, but the usable range of cutting speed is limited by the speed range of the laser machining robot
Solution Approach 1:
The system dynamically adjusts the cutting speed within the robot's usable speed range based on real-time position feedback and pre-stored machining condition tables. The controller optimizes the cutting speed at each position to maximize productivity while maintaining tracking accuracy, rather than using a fixed speed throughout the cutting process.
Solution Approach 2:
The system changes multiple machining parameters simultaneously (laser power, cutting speed, focus position, tilt angle) based on pre-calculated optimal values stored in machining condition tables. This coordinated parameter adjustment allows the system to operate at the maximum feasible cutting speed within the robot's tracking capabilities while maintaining cut quality.
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
Enables easy setting of laser cutting conditions, allowing for stable machining with a wide operation margin and efficient cutting of complex shapes by optimizing cutting speed and power output.
Implementation Method 1
a laser beam output from a laser oscillator
Implementation Method 2
via a transmission fiber and a laser machining head
Data Source
AI summary
A laser cutting device includes a control unit configured to control operations of a laser machining robot and a laser oscillator. Machining condition tables are stored in memory of the control unit. Each of the machining condition tables includes data of a laser power output and a duty, a usable range of a cutting speed of cutting a workpiece, the usable range being set based on a speed range in which a laser cutting robot can move with given tracking accuracy, and an effective range of the cutting speed and the laser power output that are set so that a cut surface of the workpiece meets given finishing conditions. The control unit is configured to select one of the machining condition tables so that the cutting speed and the laser power output meet given conditions, and control cutting of the workpiece based on the selected machining condition table.