Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system
Reexamination Certificate
2008-05-06
2008-05-06
Rodriguez, Paul (Department: 2123)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
C703S007000, C703S008000, C706S044000, C706S900000, C706S913000, C706S919000, C706S920000
Reexamination Certificate
active
09269972
ABSTRACT:
A design of a tire can be facilitated. An optimization apparatus30inputs known design parameters of the shape, structure, and pattern of a tire, and performances thereof by an experimental data input unit40and learns, as a conversion system of a neural network, a correlation between design parameters of the shape, structure, and pattern of the tire, and performances thereof. Ranges which constrain performances of the tire and design parameters of the shape, structure, and pattern of the tire, which are to be optimized, are inputted in an optimization item input unit42, and the performances of the tire are predicted in an optimization calculation unit34from the design parameters of the shape, structure, and pattern of the tire by using the optimization item and models of the calculation unit32, and an objective function is optimized until the objective function which is the performances of the tire is converged. The optimized design parameters of the shape, structure, and pattern of the tire are outputted from an optimization result output unit44.
REFERENCES:
patent: 5226092 (1993-07-01), Chen
patent: 5435365 (1995-07-01), Tanaka
patent: 5617341 (1997-04-01), Nakajima
patent: 5710718 (1998-01-01), Kamegawa et al.
patent: 5717613 (1998-02-01), Nakajima
patent: 6061673 (2000-05-01), Tang
patent: 0 647 911 (1995-04-01), None
patent: 7-156238 (1995-06-01), None
patent: 8-235242 (1996-09-01), None
patent: 9-16654 (1997-01-01), None
patent: WO 94/16877 (1994-04-01), None
Handbook of Industrial Engineering, Second Edition, by Gavriel Savandy, John Wiley & Sons, Inc., 1992, ISBN 0-471-50276-6, pp. 962 to 963, seven features of neural network models.
The Computer Science and Engineering Handbook, by Allen B. Tucker, Jr. (Editor-in-chief), CRC Press, ISBN: 0-8493-2909-4, 1996, pp. 557 to 568, genetic algorithms.
Merriam-Webster's Collegiate Dictionary, Tenth Edition, Copyright 2001, ISBN 0-87779-708-0, p. 413.
Optimum Young's Modulus Distribution in Tire Design, XP-001030061, Tire Sci Technol; Tire Science & Technology Jul.-Sep. 1996, vol. 24, No. 3, pp. 204-219.
Neural Network Learning In Engineering Design, XP-000145317, Proceedings of the International Conference on Neural Networks, Paris Jul. 9-13, 1990, Dordrecht, Kluwer Academic, NL., vol. 1, pp. 412-415.
“Non-Linear Multi-Variate Analysis-Approach by Neural Network”, Hideki Toyota, pp. 11-13 and pp. 162-166, published by Asakura Book Store in 1996.
“Empirical Model-Building and Response Surfaces”, Box and Draper, published by John Wiley & Sons, New York, date unknown.
Bridgestone Corporation
Craig Dwin McTaggart
Rodriguez Paul
Sughrue & Mion, PLLC
LandOfFree
Method of designing tire, optimization analyzer and storage... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method of designing tire, optimization analyzer and storage..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of designing tire, optimization analyzer and storage... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3903663