Everybody's working with carbide tools these days, but carbide materials are expensive. However, these cutting tool companies think they might have some solutions to extend tool life and reduce costs.

Mitsubishi Heavy Industries, Ltd. (MHI) conducted a comparison test between the super skiving cutter and the pinion skiving cutter used in the conventional skiving process and the test results are reported here.

Meeting Today’s Requirements for High-Quality Gears

As coating technology improves to handle harsher conditions, cutting tool manufacturers are faced with new challenges during the resharpening process.

The author compares the standard two-face blade technology with the three-face blade technology for manufacturing bevel gears.

Manufacturers focus on tool design, materials, coating, machine tool options and cutting parameters.

Manufacturing involute gears using form grinding or form milling wheels are beneficial to hobs in some special cases, such as small scale production and, the obvious, manufacture of internal gears. To manufacture involute gears correctly the form wheel must be purpose-designed, and in this paper the geometry of the form wheel is determined through inverse calculation. A mathematical model is presented where it is possible to determine the machined gear tooth surface in three dimensions, manufactured by this tool, taking the finite number of cutting edges into account. The model is validated by comparing calculated results with the observed results of a gear manufactured by an indexable insert milling cutter.

Recently, a new type of hob with carbide inserts has been introduced, providing higher cutting speeds, longer tool life and higher feed rates when compared to re-grindable, high-speed steel hobs. But with this kind of hob, new challenges occur due to positional errors of the cutting edges when mounted on the tool. These errors lead to manufacturing errors on the gear teeth which must be controlled. In this paper, the tooth quality of a gear manufactured by hobs with different quality classes is analyzed using a simulation model in combination with Monte Carlo methods.