Liquid Jet Cutting Head Sensing for Automatic Failure Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current liquid jet cutting systems require manual monitoring by operators to detect issues such as clogs, nozzle collisions, and material warping, which is tedious and can lead to scrapped workpieces and wasted operational time due to the inability to quickly and automatically detect failures.
Innovation Solution
Implementing sensor systems to monitor performance characteristics of liquid jet cutting systems, including accelerometers, microphones, and temperature sensors, which collect data correlated with planned data to automatically predict and detect wear, failure conditions, and generate alarm signals or shut down the system when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring by operators is used to detect failures, then the system can identify issues such as clogs and nozzle collisions, but the monitoring process becomes tedious and time-consuming, reducing productivity
Solution Approach 1:
The patent replaces manual operator monitoring with automated sensor systems including accelerometers, microphones, and temperature sensors. These sensors automatically detect failures such as nozzle collisions, clogs, and material warping, eliminating the need for continuous manual observation and allowing operators to perform value-added tasks instead.
Solution Approach 2:
The system implements self-monitoring capabilities where the liquid jet cutting system automatically detects its own failures through integrated sensors. The system can identify issues like abrasive flow clogs, nozzle collisions, and water backup without external human intervention, enabling autonomous operation and reducing dependency on operator attention.
2Reliability
If operators continuously monitor the cutting process to detect failures quickly, then workpiece damage can be prevented, but operators lack sufficient bandwidth to perform this monitoring task
Solution Approach 1:
The patent implements automated feedback systems where sensors continuously monitor cutting parameters and provide real-time data to the control system. When anomalies such as unexpected acceleration (indicating nozzle collision) or temperature changes are detected, the system automatically alerts operators or shuts down, providing continuous protection without requiring constant operator attention.
Solution Approach 2:
Manual monitoring tasks are replaced with automated sensor-based detection systems that continuously watch for failure conditions. Accelerometers detect nozzle collisions, microphones identify clogs through acoustic signatures, and temperature sensors monitor for water backup, freeing operators from the impossible task of continuous manual surveillance.
3Device complexity
If manual monitoring is used, then system complexity remains low, but failure detection is slow and leads to scrapped workpieces and wasted time
Solution Approach 1:
The patent incorporates sensors and monitoring systems into the cutting head assembly before operation begins. Accelerometers, microphones, and temperature sensors are pre-positioned to immediately detect failures the moment they occur, enabling instant response and preventing workpiece damage without adding significant complexity to the overall system.
Solution Approach 2:
The patent introduces sensor intermediaries between the cutting process and the operator. These sensors act as mediators that translate physical failure conditions (collisions, clogs, temperature changes) into detectable signals, automatically bridging the gap between the cutting process and failure detection without requiring direct operator involvement.
Data Source
AI summary
An operational monitoring system for use with a liquid jet cutting system can include an accelerometer coupled to a cutting head of the liquid jet cutting system. The accelerometer can be configured to generate motion data associated with movement of the cutting head. The system can include a computing device operably connected to the accelerometer and having a memory and a processor. The memory can store a planned data set including expected parameters associated with movement of the cutting head along a planned cut path. In some embodiments, the computing device is configured to receive the motion data from the accelerometer and correlate the motion data to the planned data set.