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LAVA=
Licon Added Value Analyzer

Data generated by the machining center must be prepared in such a way that it offers the user real added value. This maxim follows Licon with LAVA (Licon Added Value Analysis).

 

The basis for this is the use of smart, sensor-equipped components in the LiFLEX machining centers.

 

Gone are the days in which machines were operated by the same people for years and so intuitive experience in handling the machine was collected and further developed.

 

In the networking of our machine components and the associated possibility of sensor data analysis, we can offer our customers a higher range of functions and thus increase efficiency in everyday production. Our goal is the best possible automation of “Knowledge Management”.

 

Questions and findings on this are manifold. As an example, the interactions in the machining of the workpieces are called, which act between work spindle, cutting geometry, cutting parameters of the cutting tools and clamping concept.

 

Our development efforts in this area show significant success. This allowed us to reduce cycle times while extending tool life! In individual cases this can make the decisive difference between loss or profit in the production environment!

 

In order for our customers to achieve optimum machining results without the often used “Trial & Error” principle and to be able to make the decisive economic step economically, Licon has developed LAVA, which consists of the following modules:

 

  • History evaluation with error evaluation / analysis

    • Increase in output

    • Reduction of maintenance costs

 

  • Condition monitoring with regard to scheduled maintenance work

    • Motor spindles

    • Vibration sensor

    • Temperature sensor

    • Ball screws

    • Frequency analysis

    • Condition diagnostics

 

  • Cutting process – vibration data analysis

    • Avoidance of chatter vibrations

    • Reduction of the vibration paths at the tool cutting edge

    • Process trend analyzes

Example process optimization

The following example shows the result of optimizing the vibration behavior of the cutting tools used in the process. The previously strong rattling is recognizable in the high fluctuations of the vibration acceleration during processing.

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Vibration acceleration [m/s²]

Using Lava-based optimizations, the vibration behavior could be significantly optimized.

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Vibration acceleration [m/s²]

Example:

Not always reduced cutting parameters result in better cutting results – here an example, as a result of the optimization work with Lava.

 

 Vibration displacement XY (Peak-to-Peak) before reduction, [μm]

Vibration displacement XY (Peak-to-Peak) after reduction, [μm]

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Comparison of SP12 vibration displacements before and after 25 % reduction in cutting parameters