UTTm monitors tools and machining processes using digital and analog process signals. This allows indications of tool wear, tool breakage, and process deviations to be detected. Together, we will examine how the system can be integrated into your machine and production.
If a machining process changes, this can indicate wear, tool damage, or other deviations. UTTm helps you detect such changes and initiate appropriate measures. Which deviations can be recorded and how the machine reacts to them depends on the application, the available signals, and the integration.
Connection to the machine control system
UTTm can be connected via digital or analog signals. We will determine which integration method is suitable for your machine based on the controller and the available interfaces.
Detect duplicate edits
Unintended repetitions of processing steps can be identified using the monitored process signals. Whether this function is suitable for your process is checked on an application-specific basis.
Reduce consequential damage
If a tool breakage is detected, a coordinated machine reaction can help protect subsequent tools and workpieces. The prerequisite is proper integration into the machine control system.
Retrofit existing machines
UTTm can be used for retrofitting existing machines. The machine design, control system, available signals, and machining task are decisive factors. We will check the suitability for your specific machine.
To check a new installation or retrofit, the technical requirements of your machine are crucial. With the following information, we can specifically categorize your application:
Machine manufacturer, type and year of manufacture
Control manufacturer and control version
Processing methods, tools used, and material
Available signals and interfaces, as far as known
The problem you want to identify or monitor
Based on this, we will clarify the potential involvement and the next steps.
The optional UTTm AnalyzeViewer enables the evaluation of recorded tool processes. The visualization of process curves and fluctuations helps you to trace changes and assess potential process adjustments. We will clarify together which functions are available for your configuration.
Any alarms that occur are documented precisely so that they can be analyzed retrospectively.
Graphs of documented alarms can be loaded and displayed from the history.
A tool can have several processing steps assigned to it. This takes place automatically.
Combined with 14 MDE fault reasons, tool monitoring also evaluates machine status times.
User-friendly
Thanks to our user-friendly 8-button system, the user interface is also intuitive and easy to use directly on the machine control panel. This ensures convenient and efficient use, even for users without extensive technical knowledge.
Automatic limit definition
Limit values for overload and tool breakage are precisely calculated and optimally implemented through the use of intelligent machine learning. This future-oriented technology ensures reliable and efficient monitoring, measurably improving the safety and longevity of the tools.
Logging via MDE
By recording 14 specific fault messages, machine operators can precisely document the causes of faults. This data is then used for analysis and evaluation in order to continuously optimize production processes and increase the efficiency of the machines.
Load neutral
Thanks to the externally installed module, calculations and analyses are carried out independently of the machine's computing resources. This makes it possible to fully utilize the machine's performance for the machining process without creating additional loads or bottlenecks.
Real-time data
Measured parameters are passed on in real time and displayed graphically in the software. No delays that make evaluation complicated and difficult to understand.
Multilingual software
Our software offers comprehensive support for multiple languages. This means that users worldwide benefit from user-friendly and intuitive operation in their preferred language. This facilitates international collaboration and increases the efficiency of global teams.
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