A larger head size and stiffer frame thanks to NCT (Nano Crystalline Technology) make the Ion Galaxy a hard hitters dream racquet. Designed with David Palmer
, this racquet meets the high demands of the best players in the world.
Designed with doubles players in mind, but still a great racquet for singles, the Ion Galaxy features a large 500 cm.² bridged head that allows for an extra wide sweet spot that doubles players look for. It is stiff and balanced towards the head so that the heavier doubles ball will be hit with control and power. The Nano Crystalline Technology makes this an impressive weapon for both singles and doubles. Thermal Core technology (TCT) allows for a uniform curing process inside the frame and out, which gives the racquet greater durability and a more responsive hit.
Black Knight Ion series squash racquets exploit reduced frame distortion and torque for a larger sweetspot and greater control for hard hitters. This is achieved using Nano-Crystalline Technology (NCT) as an additive to the polymer structure of the graphite frame, in combination with the Ion frame geometry, where the shaft is flared in 2 dimensions between the bridge and the handle to create a progressive flex, increasing power transfer.
This racquet is prestrung Ashaway PowerNick 18.
Nano Crystalline Technology (NCT):
An additive incorporated into the carbon fiber that not only helps reduce vibration but binds the fibers for added durability increasing strength and density. The difference is a stiffer frame with less torque on off center hits, producing more accuracy and increased power.
Thermal Core Technology (TCT): The racquet is injected with super heated air while it is being cured in the ovens. This allows for a uniform curing process inside the frame and out which means that the racquet will have greater durability and a more responsive hit.
16K Hyper Tensile Fibers: 16,000 individual strands are woven together for more structural strength, and durability.
Power of 6: At each stage of development, the frame was analyzed under stress at 6 key points, with the resulting data used to fine tune the model until the best performance results were achieved for the composition and geometry of the model.