基于粒子群算法的高黏度大比重物料无轴螺旋输送机构优化设计

 为解决高黏度大比重物料无轴螺旋输送机的螺旋叶片变形问题，利用粒子群优化算法，以无轴螺旋叶片刚度变形最小为优化设计目标，构建了基于粒子群算法的无轴螺旋叶片优化设计模型.应用构建的理论模型，进行了实例设计，并通过实验研究进一步证实该设计方法具有先进性和实用性．将智能算法应用于机械优化设计，为该领域研究提供新思路．

Optimization design of shaft less screw conveyor mechanism for high viscosity and large specific gravity materials based on PSO

Many users are plagued by the problem that screw blades of shaft less screw conveyor are deformed when transport materials are with high viscosity and large specific gravity. The algorithm of particle swarm optimization (PSO) was used with the purpose of minimum deformation of shaft less screw stiffness. Firstly，optimization design model of shaft less screw blade was constructed based on particle swarm optimization. Then，examples were designed with theoretical model constructed. Finally，experimental research was studied to further confirm that the method designed was advanced and practical. Intelligent algorithm is applied in mechanical optimization design，which provides new method for the research on the field．