Spare Parts and Consumables
|
Durable and efficient spare parts and consumables are the main topic of Kjellberg Finsterwalde's research and development work. The ongoing optimization of the production process and extensive new developments are the basis for highest cutting quality and the consistent reduction of costs per cutting metre. This technology is summarized under one name: YellowXLife®. You as users will benefit from longer lifetimes which lead to a further reduction of costs because you will need less consumables and, above all, the change times will be reduced as well. Thus, you achieve a higher yield per piece of consumables or, respectively, a reduction of the costs per cutting metre.
The following paragraphs provide the latest information on our original YellowXLife® consumables.
YellowXLife® - because the original is simply better
|

|
|
New Consumables for HiFocus and FineFocus
|
|
Recently, our development work has fully focussed on the optimization of the consumables for HiFocus and FineFocus systems. The new YellowXLife® consumables for cutting with oxygen have been available since the middle of 2009. They show a considerably longer lifetime compared to the previous models and in particular compared to copies.
This technological progress offers you as customers enormous saving potential. The costs per cutting metre, as well as the machine downtimes and set-up times can be reduced. The yield per piece of consumables increases.
Test for yourself the new YellowXLife® generations and benefit from the following advantages immediately:
|
 |
 |
-
up to 3.5 times longer lifetime,
-
ideally suited at high performance, for long-term use and bevel cutting,
-
longest lifetime - it is far above the competitive level,
-
many times longer lifetime than copies,
-
further cost reduction because fewer consumables will be needed and, above all, fewer change times will be necessary,
-
lower costs per cutting metre compared to competitors' products,
-
lower costs per cutting metre compared to copies
-
the same prices as previous models
|
|
|
|