Products Matris

New products of our own development

The products were developed out of our own need for faster and more efficient servicing. As market demands are increasing, our products offer more comprehensive, faster and higher quality maintenance support.

As we are a relatively small company with a limited number of employees, we cannot offer the individual services that our products provide on a global market. This is why we have developed the devices for sale and obtained all the necessary certifications in this context.

  • High repeatability
  • Accuracy from ±1.5'' to ±3''
  • Reliability

Dynamic spindle head taper grinder for CNC machines

The device provides huge savings and simplifies the repair of the spindle taper head of the CNC machine.

The grinding angle is set automatically, which means that high repeatability is guaranteed. In doing so, the device relies on an optical position encoder with a repeatability of 0.001. The device is controlled via a HumanMachine Interface (HMI) display and the processing is handled by aProgrammable Logic Controller(PLC). Adjustments can be made to the stroke length during grinding, to the various feed speeds and rotational speeds and, if necessary, to the micro-adjustments of the grinding angle.

The operator is able to use the device independently after a relatively short training period. CNC machine cone geometry repair can be carried out in a very short time, usually within one eight-hour working day, which means huge savings for the machine owner.

The machine can be used to grind vertical and horizontal machining centres with all standard tapers such as. SK40, SK50, BT40, BT50, HSK63 and HSK100.

3D mapping of rotor magnets

Imaging the rotor magnets is part of a complex diagnostic that can save a lot of time.

Usually, a rotor can fail for several reasons: damage to bearings, housing, windings… In the checking process, the magnet quality check comes more towards the end, and the diagnosis process itself is very simple and saves many unnecessary steps. In about 20% of cases, this is also the only cause of motor failure.

Using the device and a sensor, we scan the magnetic properties of the rotor around the circumference and along the length of the rotor, and plot a graphical representation of the magnetic field strength on the rotor. Insert the rotor into the rotating jaws, secure it with one of the linear axes (the spoke presses down on the rotor from above), then bring the sensor closer to the rotor with the two linear axes.

During the measurement, we rotate the rotor and move the sensor along its length to measure the magnetic field. Finally, the magnetic properties are illustrated with a picture where the rotor is uncovered and the colour represents the polarity and strength of the magnetic field. Finally, you can generate a report for the measurement. Suitable for testing rotors up to 100 kg, up to 800 mm in length and up to 300 mm in diameter.

The device is suitable for testing rotors up to 100 kg in weight, up to 800 mm in length and up to 300 mm in diameter.

Sensorics is a completely new diagnostic equipment with integrated high-tech know-how that does not exist in this form today.


Preventive monitoring of motors in the production process

The aim of our sensing system is to transform the tool from a passive element into an active network element with its own artificial intelligence, fully integrated into the company’s information system (IIoT3). The tool is able to actively monitor the production process at all times and, through its built-in artificial intelligence, actively trigger the necessary solutions to eliminate unforeseen events in real time to avoid production bottlenecks.

The diagnostic equipment developed for the predictive maintenance of electric motors is a good example of an active network element with its own intelligence. An advanced machine learning algorithm is developed to identify the location of the fault and, in conjunction with the cloud, contributes to the focus area objective. The main purpose of the tool is to provide an environment capable of simulating and optimising the production process to ensure that in real production, dead times are minimised and the production of bad products is drastically reduced.

Sensorics monitors the performance of electric motors in machine tools and robotic cells to identify potential faults in the production of electric motors more quickly. An advanced machine learning algorithm analyses the input parameters, compares them with the existing fault database, and notifies the repairer of potential faults via the cloud. The equipment ensures shorter machine downtimes, provides cost-effective control of electric motors in machine tools and robotic cells, and contributes to increasing the overall efficiency of companies’ production processes.

A completely new methodology, tools and building blocks have been developed to meet the needs of predictive maintenance and reduce production dead times.