Callaway Golf Company

Frank H Fan

Scott R Manwaring

Peter Ligotti, Iii

D Clayton Evans

Alan Hocknell

Richard C Helmstetter

Matthew T Cackett

Steven M Ehlers

John B Kosmatka

Matthew J Erickson

Peter Logitti, Iii

A method for a predicting golfer's performance is disclosed herein. The method inputs the pre-impact swing properties of a golfer obtained from a CMOS imaging system, a plurality of mass properties of a first golf club, and a plurality of mass properties of a first golf ball into a rigid body code. Ball launch parameters are generated from the rigid body. The ball launch parameters, a plurality of atmospheric conditions and lift and drag properties of the golf ball are inputted into a trajectory code. This trajectory code is used to predict the performance of a golf ball if struck by the golfer with the golf club under the atmospheric conditions. The method can then predict the performance of the golf ball if struck by the golfer with a different golf club. The method and system of the present invention predict the performance of the golf ball without the golfer actually striking the golf ball.

Method for predicting a golfer's ball striking performance

A system for a predicting golfer's performance is disclosed herein. The system inputs the pre-impact swing properties of a golfer, a plurality of mass properties of a first golf club, and a plurality of mass properties of a first golf ball into a rigid body code. Ball launch parameters are generated from the rigid body. The ball launch parameters, a plurality of atmospheric conditions and lift and drag properties of the golf ball are inputted into a trajectory code. This trajectory code is used to predict the performance of a golf ball if struck by the golfer with the golf club under the atmospheric conditions. The system can then predict the performance of the golf ball if struck by the golfer with a different golf club. The system of the present invention predicts the performance of the golf ball without the golfer actually striking the golf ball.

A method for a predicting golfer's performance is disclosed herein. The method inputs the pre-impact swing properties of a golfer, a plurality of mass properties of a first golf club, and a plurality of mass properties of a first golf ball into a rigid body code. Ball launch parameters are generated from the rigid body. The ball launch parameters, a plurality of atmospheric conditions and lift and drag properties of the golf ball are inputted into a trajectory code. This trajectory code is used to predict the performance of a golf ball if struck by the golfer with the golf club under the atmospheric conditions. The method can then predict the performance of the golf ball if struck by the golfer with a different golf club. The method and system of the present invention predict the performance of the golf ball without the golfer actually striking the golf ball.

A golf club having products of inertia Ixy, Ixz, and Iyz with absolute values below 100 g-cm is disclosed herein. The golf club has a large volume, a high moment of inertia, or both. Preferably, the moment of inertia, Izz, of the golf club head about a vertical axis Z through the center of gravity ranges from 3000 g-cm to 5000 g-cm , and a moment of inertia, Iyy, about a horizontal axis Y through the center of gravity of the golf club head ranges from 1900 g-cm to 2050 g-cm . Preferably, the golf club head is composed of plies of pre-preg sheets. The volume of the golf club head preferably varies form 300 g-cm to 600 g-cm .

Golf club head that optimizes products of inertia

A method ( ) and system ( ) for predicting a coefficient of restitution (COR) of a golf club ( ) or golf club head ( ) is disclosed herein. The system ( ) and method ( ) are able to predict the COR in a non-destructive manner for a particular golf ball and impact speed. The system ( ) and method ( ) utilize a vibration sensor ( ) attached to the face ( ) of a golf club ( ). The vibration sensor ( ) is excited with an excitation device ( ), and data is transmitted to an analyzer ( ). A mathematical model of the golf club ( ) is created allowing for the coefficient of restitution to be predicted without destroying the golf club ( ).

Measurement of the coefficient of restitution of a golf club

A method for a predicting golfer's performance is disclosed herein The method inputs the pre-impact swing properties of a golfer, a plurality of mass properties of a first golf club, and a plurality of mass properties of a first golf ball into a rigid body code. Ball launch parameters are generated from the rigid body. The ball launch parameters, a plurality of atmospheric conditions and lift and drag properties of the golf ball are inputted into a trajectory code. This trajectory code is used to predict the performance of a golf ball if struck by the golfer with the golf club under the atmospheric conditions. The method can then predict the performance of the golf ball if struck by the golfer with a different golf club. The method and system of the present invention predict the performance of the golf ball without the golfer actually striking the golf ball.

A golf club having products of inertia Ixy, Ixz and Iyz with absolute values below 100 g-cm is disclosed herein. The golf club has a large volume, a high moment of inertia, or both. Preferably, the moment of inertia, Izz, of the golf club head about a vertical axis Z through the center of gravity ranges from 3000 g-cm to 5000 g-cm , and a moment of inertia, Iyy, about a horizontal axis Y through the center of gravity of the golf club head ranges from 1900 g-cm to 2050 g-cm . Preferably, the golf club head is composed of plies of pre-preg sheets. The volume of the golf club head preferably varies from 300 cm to 600 cm .

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Carlsbad, CA, United States of America

Frank H Fan