Non-contact linear encoders based around flexible product platform
SICK has expanded its proven, non-contact magnetostrictive linear encoder portfolio with the launch of a versatile product family for wide-ranging industrial applications. The DAX linear encoders precisely determine the absolute position of pistons in hydraulic cylinders, as well as reliably monitoring linear motion in many common industrial machines.
The DAX encoder represents an important milestone in the development of SICK’s encoder portfolio, opening up the availability of SICK’s magnetostrictive technology to industrial users for the first time.
The DAX offers a timesaving way for cylinder manufacturers, OEMS and end-users to access a reliable source of supply. The encoders offer space-saving benefits for new machinery, as well as backward compatibility with existing installations, and can be customised to work with all common magnet types.
In just a few steps, SICK’s Online Configurator guides the user through the specification process to generate a part number and create an online order. Thanks to the platform concept of the DAX, application-specific versions can be generated quickly. There is also the flexibility of further customisation for new machine designs or to enable adaptation to existing machines, including where proprietary magnets are already in situ.
The DAX is being launched with three housing designs: one for integration into industrial hydraulic cylinders; a low-profile type with block magnets for mounting in tight installation situations; and a version with an integrated slider that guides the position magnet, easing the requirements on alignment during mounting.
Integration into existing or new machinery is straightforward using standard mechanical interfaces. For electrical installation, the DAX product family offers a CANopen as well as an analogue output for either 0-10 VDC or 4-20 mA.
The DAX encoder family has industry-appropriate measuring ranges for countless applications as diverse as packaging machines, wind, hydro and solar plants, wood processing machinery, or medical technology.
