The solution to reduce energy consumption and preserve the environment
Pump actuation using a frequency converter
The use of frequency converter on high pressure pumps makes it possible to optimise the machining fluid supply. Permanent optimisation of the rotation speed of the pump motor makes it possible to supply only the amount of lubricant that is strictly necessary. Which results in a massive reduction in the electrical energy taken from the network and in significant cost savings.
Reduction in moving masses
For many years, Tornos has digitally calculated and optimised the behaviour of the key components of these machines. This has enabled us to reduce the moving masses and therefore reduce energy consumption whilst improving acceleration. These analysis methods allow us to reduce masses by up to 40 % whilst improving machining performance.
« Done in one »
Finish the part ! This has been the challenge for Tornos engineers since the company was set up. We have constantly introduced innovative machining solutions in order to avoid rework operations. For example :
Internal and external thread whirling, gear hobbing, torx milling, deep boring, angled milling for main operations and counter operations, thread cutting, rolling, stamping, roller burnishing, high-frequency micro milling
Use of more efficient synchronous motors favouring machining performance on spindles and on the majority of the axes. Thanks to drive modules we are able to recover and reinject up to 70 % of the energy released by braking into all the drives.
TB-DECO energy optimisation
In 1996 Tornos launched the DECO concept which became a global success. Tornos also launched the TB-DECO software which was able to manage synchronisation with the DECO multi-axis concept. From the very beginning, the engineers, who were already environmentally aware, implemented a system which made it possible to optimise parallel movements. Upon request, TB-DECO calculates the minimum feed rate of each tool indexing procedure without modifying the cycle time of the part. It is therefore possible to reduce electrical consumption by almost 7 %. In addition, remote programming and simulation also make it possible to save a substantial amount of energy.