Hobbing tool management

Hobbing tool management

Hobbs are expensive tools that can be reground several times. The reconditioning of the tools represents a significant cost advantage, but it causes a very high administrative and logistic effort both at customers and tool manufacturers. Furthermore, missing information on the number of regrounds can cause unnecessarily high inventories.

In co-operation with renowned tool manufacturers, c-Com offers a unique SW application for an efficient digital hobbing tool management. The digital twin of a hobb, personalized via a DM or QR code, is made available in c-Com by the hobb manufacturers. With the use of mobile devices, e.g.smartphones or smart glasses, and/or stationary connected devices, such as PCs or tool cabinets, the individual movements and transactions such as goods receipt, goods shipping, inventory levels or production, both at manufacturers and and users are captured and tracked in c-Com over the entire life cycle.

In this way it is known at any time

  • how many hobbs are currently in circulation,
  • where the hobs currently are and
  • in which state they are (new, reground, blunt, used, # or regrounds)

Combining these data with the production plan figures and tool delivery time, c-Com provides a recommendation as to when and how many new hobbs should be ordered. As a result inventories are reduced to an optimal level and expensive productions stops due to missing hobs are prevented.

Thanks to the collaborative c - Com approach, it is also possible to optimise cutting parameters and ultimately to further reduce costs.The quantity of the material removed during the regrinding is an indicator of how good the current cutting parameters are: a material removal rate higher than the nominal one is a warning for too strong cutting forces.Adjusting the cutting parameters these forces can be reduced resulting in a longer tool life and / or an increased number of possible regrounds.

At a glance

  • Transparency on the number, location and state of the hobbs
  • Optimized inventory levels
  • Process optimization