This paper describes the robust optimum design which combines the geometrical optimization method proposed by Hashimoto and statistical method. Recently, 2.5″ hard disk drives (HDDs) are widely used for mobile device...This paper describes the robust optimum design which combines the geometrical optimization method proposed by Hashimoto and statistical method. Recently, 2.5″ hard disk drives (HDDs) are widely used for mobile devices such as laptops, video cameras and car navigation systems. In mobile applications, high durability towards external vibrations and shocks are essentials to the bearings of HDD spindle motor. In addition, the bearing characteristics are influenced by manufacturing error because of small size of the bearings of HDD. In this paper, the geometrical optimization is carried out to maximize the bearing stiffness using sequential quadratic programming to improve vibration characteristics. Additionally, the bearing stiffness is analyzed considering dimensional tolerance of the bearing using statistical method. The dimensional tolerance is assumed to distribute according to the Gaussian distribution, and then the bearing stiffness is estimated by combining the expectation and standard deviation. As a result, in the robust optimum design, new groove geometry of bearing can be obtained in which the bearing stiffness is four times higher than the stiffness of conventional spiral groove bearing. Moreover, the bearing has lower variability compared with the result of optimum design neglecting dimensional tolerance.展开更多
为了使旋风分离器分离出来的颗粒大小适用于高效过滤器容尘性能试验,采用试验设计(Design of Experiment,DOE)法,并借助计算流体力学(Computational Fluid Dynamics,CFD)软件优化旋风分离器的结构尺寸,显著提升了分离性能,使切割粒径从...为了使旋风分离器分离出来的颗粒大小适用于高效过滤器容尘性能试验,采用试验设计(Design of Experiment,DOE)法,并借助计算流体力学(Computational Fluid Dynamics,CFD)软件优化旋风分离器的结构尺寸,显著提升了分离性能,使切割粒径从微米级减小至亚微米级。同时,分析了各结构尺寸对分离效率的显著影响及交互作用。展开更多
文摘This paper describes the robust optimum design which combines the geometrical optimization method proposed by Hashimoto and statistical method. Recently, 2.5″ hard disk drives (HDDs) are widely used for mobile devices such as laptops, video cameras and car navigation systems. In mobile applications, high durability towards external vibrations and shocks are essentials to the bearings of HDD spindle motor. In addition, the bearing characteristics are influenced by manufacturing error because of small size of the bearings of HDD. In this paper, the geometrical optimization is carried out to maximize the bearing stiffness using sequential quadratic programming to improve vibration characteristics. Additionally, the bearing stiffness is analyzed considering dimensional tolerance of the bearing using statistical method. The dimensional tolerance is assumed to distribute according to the Gaussian distribution, and then the bearing stiffness is estimated by combining the expectation and standard deviation. As a result, in the robust optimum design, new groove geometry of bearing can be obtained in which the bearing stiffness is four times higher than the stiffness of conventional spiral groove bearing. Moreover, the bearing has lower variability compared with the result of optimum design neglecting dimensional tolerance.
文摘为了使旋风分离器分离出来的颗粒大小适用于高效过滤器容尘性能试验,采用试验设计(Design of Experiment,DOE)法,并借助计算流体力学(Computational Fluid Dynamics,CFD)软件优化旋风分离器的结构尺寸,显著提升了分离性能,使切割粒径从微米级减小至亚微米级。同时,分析了各结构尺寸对分离效率的显著影响及交互作用。