Integrated design-optimization method for high-performance and lightweight spiral bevel gears

IF 7.1 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Siyu Chen , Jing Wei , Haibo Wei , Yuxin Tan , Jinzong Ye , Chuanlong Liu , Aiqiang Zhang
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Abstract

As a core component of high-power-density transmission systems, designing high-performance lightweight spiral bevel gears (SBGs) have become a key research focus. The SBG design comprises three essential phases: blank geometry, tooth surface geometry, and contact performance prediction. The lack of standardized frameworks makes the SBG design process heavily dependent on empirical expertise, limiting the full potential of SBG design. To address this limitation, an integrated design optimization method (IDOM) that integrates the blank geometry, tooth surface geometry, and contact performance was proposed. First, a general mathematical model for face-milled SBGs was established using tooth shrinkage principles and homogeneous coordinate transformations. Subsequently, a geometric optimization method for lightweight SBG blanks (GOMSB) was developed using genetic algorithms. Based on this, the spatial meshing theory and topological surface techniques were employed to construct a mathematical deviation model between the target and theoretical pinion tooth surfaces, leading to a high-performance geometric optimization method for SBG surfaces (GOMSS). An enhanced tooth contact analysis method integrating differential geometry and Hertz contact theory was proposed. This method quantifies time-varying loaded contact characteristics by combining elastic potential energy principles with meshing equilibrium conditions and establishing parametric criteria for iterative tooth surface modification. Finally, the IDOM was validated through SBG pair design case studies using numerical modeling, assembly, and meshing simulation analysis. Furthermore, the applicability of GOMSB and GOMSS as well as the key parameters influencing the fatigue strength and contact performance of SBG pairs and their operational laws were systematically analyzed, thereby establishing fundamental design principles for high-performance SBG development.

Abstract Image

高性能轻量化螺旋锥齿轮的集成设计优化方法
螺旋锥齿轮作为高功率密度传动系统的核心部件,设计高性能、轻量化的螺旋锥齿轮已成为研究热点。SBG设计包括三个基本阶段:毛坯几何、齿面几何和接触性能预测。由于缺乏标准化的框架,使得SBG设计过程严重依赖于经验专业知识,限制了SBG设计的全部潜力。针对这一局限性,提出了一种集成毛坯几何形状、齿面几何形状和接触性能的集成设计优化方法(IDOM)。首先,利用齿缩原理和齐次坐标变换,建立了面铣SBGs的通用数学模型;在此基础上,提出了一种基于遗传算法的轻质SBG毛坯几何优化方法。在此基础上,利用空间网格理论和拓扑曲面技术建立了小齿轮理论齿面与目标齿面之间的数学偏差模型,提出了一种高性能的小齿轮齿面几何优化方法。结合微分几何和赫兹接触理论,提出了一种改进的齿面接触分析方法。该方法将弹性势能原理与啮合平衡条件相结合,建立迭代齿面修形的参数准则,量化时变载荷接触特性。最后,通过使用数值建模、装配和网格仿真分析的SBG副设计案例研究验证了IDOM。系统分析了GOMSB和GOMSS的适用性、影响SBG副疲劳强度和接触性能的关键参数及其运行规律,为高性能SBG的开发建立了基本设计原则。
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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