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相关概念视频

Fineness Modulus01:19

Fineness Modulus

The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
Area Problem01:26

Area Problem

Determining the area of a region with straight edges is straightforward, as geometric formulas for rectangles, triangles, and polygons can be applied directly. However, traditional geometric methods are insufficient when a region has a curved boundary, such as the area under a function.fromThe area problem involves finding a systematic way to measure such regions. One approach to solving this problem is through approximation. Instead of attempting to compute the area exactly at the outset, the...

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相关实验视频

Updated: May 13, 2026

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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对合金的表面粗度的优化,基于多策略的融合蛇算法.

Nanqi Li1, ZuEn Shang1, Yang Zhao2

  • 1School of Mechanical Engineering, Liaoning Technical University, Fuxin, China.

PloS one
|January 17, 2025
PubMed
概括

优化合金削参数与新的蛇算法显著改善表面质量. 这种方法提高了耐磨性和疲劳强度,这对于高性能部件至关重要.

科学领域:

  • 材料科学与工程 材料科学与工程
  • 制造过程 制造过程 制造过程
  • 计算智能是一种计算智能.

背景情况:

  • 合金由于其低导热率,低弹性模量和工件硬化而存在加工挑战.
  • 表面质量对于制造部件的耐磨性,疲劳强度和耐腐蚀性至关重要.
  • 优化高速削参数对于提高合金组件性能至关重要.

研究的目的:

  • 开发和验证一个多策略的融合蛇算法,以优化合金削参数.
  • 提高通过高速削生产的合金零件的表面质量,特别是表面粗度.
  • 为了提高加工过程优化算法的预测准确度和融合速度.

主要方法:

  • 使用响应表面方法建立一个合金削表面粗度预测模型.
  • 引入一个多策略的融合蛇算法 (MSSO),包括直角矩阵初始化,动态适应机制和联合反向策略.
  • 在五个基准函数上对MSSO算法与其他优化算法的比较分析.
  • 在Ti64合金上对优化削参数进行实验验证.

主要成果:

  • 与其他基准算法相比,MSSO算法表现出优越的融合速度和准确性.
  • 与优化前水平相比,提议的优化方法成功地将Ti64合金的表面粗度提高了55.7%.

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  • 多策略融合增强了人口多样性,加速了融合,并在优化过程中防止了局部优化.

    • 结论:

    • 多策略的融合蛇算法有效优化削参数,以提高合金表面质量.
    • 开发的方法提供了一种强大的方法来克服在高速削中预测和改进表面表面的挑战.
    • 优化的削参数大大有助于提高合金零件的服务性能和组件可靠性.