Genetic Algorithms for the Optimum Design of Multi-Point Gear-Meshing Flexible Drive

Jie Zhang

doi:10.4028/www.scientific.net/AMR.1006-1007.407

Paper Titles

Quality Monitoring and Control of the Publicity Translation System Based on Cognitive Mechanism
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Optimizing the Flow Velocity of the Assembly Line: A Cognitive Neuroscience Perspective
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Predicting Tool Point FRF by RCSA in High Speed Milling
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Parameter Optimization Method of Screw Axis with Variable Diameters and Different Pitches Based on PSO-BP NN
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Genetic Algorithms for the Optimum Design of Multi-Point Gear-Meshing Flexible Drive
p.407

Reliability Design and Test of the Vehicle Electronic Equipment
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The Research on the Checking Experiment Scheme of the Digital Simulation of the Toroidal Worm and the Manufacture of the Tested Worm
p.415

The Research on the Digital Simulation Software of the Planer Double-Enveloping Toroidal Worm
p.419

Application of Improved Genetic Algorithm in Optimum Configuration of Viscous Dampers in Tall Buildings
p.423

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007Genetic Algorithms for the Optimum Design of...

Genetic Algorithms for the Optimum Design of Multi-Point Gear-Meshing Flexible Drive

Abstract:

BF Multi-point Gear-meshing Flexible drive as research object, Established calculation formula of Wheel pressure on Multi-point Gear-meshing Flexible drive and optimization mathematical model, By using adaptive genetic optimization at drive wheel pressure uniformity optimization of Multi-point Gear-meshing Flexible drive, the result is good, Non-uniformity of wheel pressure drop greatly, Reduce the wear between the Track and the inner orbit of gear, the reliable foundation are provided to improve the structure design for Multi-point Gear-meshing Flexible drive, It has high practical value.