PPC solid-carbide barrel milling cutters from Hoffman Group

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Hoffmann Group has expanded its tool family for Parabolic Performance Cutting (PPC) to include a new PPC indexable insert and Garant PPC solid-carbide barrel milling cutters for high-alloy and hardened steels.

The PPC process represents a further development of ball-nosed slot drill cutting and is also known as barrel milling. It is primarily used for finishing free-form surfaces in machining tool building, tool manufacturing and die making and achieves either up to nine times shorter processing times or a significantly improved surface quality.

With its new PPC indexable insert which is compatible with the Garant precision copy milling cutters as tool bodies, the Hoffmann Group is launching an alternative to PPC solid-carbide barrel milling cutters with a straight or stub point conical-shaped main cutting edge onto the market. The PPC cut-off inserts are suitable for processing flat faces and freely accessible surfaces without interference contours on the 3-axis machine and are available for steel, high-alloy and hardened steels, stainless steel and aluminium. Garant precision copy milling cutters, which are suitable as tool bodies, are available in steel and solid-carbide versions, including a Garant PowerCard.

In addition to the new PPC indexable insert, the Hoffmann Group has optimized three versions of its PPC solid-carbide barrel milling cutter for hard machining. The new tools have a tangential, conical or stub point conical form and are suitable for finishing flat faces and large surfaces with interference contours, as well as deep and hard-to-access cavities. Due to these qualities, they show their full potential on the 5-axis machine.

The new Garant PPC indexable milling inserts are also available to users for finishing components made from high-alloy or hardened steels with freely accessible surfaces without interference contours. The precondition for PPC is a CAD/CAM software coordinated to the milling strategy, which allows the tool geometries to be processed as a data model.

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