基于神经网络和智能优化算法的CNC门架机床床结构的多目标优化
Youjun Bai1, Zhongyang Yuan2, Yuqing Yan2
1School of Electromechanical and Automotive Engineering, Hainan College of Economics and Business, Haikou, China.
Science progress
|July 21, 2025
概括
这项研究优化了CNC门架机床床,以提高机械性能. 新设计减少了变形和质量,同时增加了刚性和自然频率.
科学领域:
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
- 制造业 制造技术 制造技术
背景情况:
- 在现代制造业中,数控门架机床具有至关重要的作用.
- 优化机床等结构部件对于性能至关重要.
- 现有的设计经常面临质量,刚性和动态特性之间的权衡.
研究的目的:
- 开发一个多目标优化设计方法,用于CNC门架机床床.
- 为了提高机械性能,包括静态和动态特性.
- 同时减少结构质量和提高性能指标.
主要方法:
- 灵敏度分析以确定影响质量和机械性能的关键设计变量.
- 实验设计 (DOE) 和响应表面方法 (RSM) 使用神经网络进行客观函数近似.
- 值权重方法用于权重多个优化目标.
- 在MATLAB中应用智能算法 (模拟化,遗传算法,粒子群优化).
主要成果:
- 优化床结构显示,最大变形减少了9.41%.
- 在第一级自然频率上实现了5.75%的增长.
- 最大应力降低了1.23%,质量减少了0.64%.
结论:
- 提出的多目标优化方法有效地提高了CNC门架机床的静态和动态性能.
- 该方法成功地平衡了减轻结构重量和改善机械性能之间的权衡.
- 这种方法为优化精密机械结构部件提供了一种新的战略.
相关概念视频
Sequence Networks of Rotating Machines
145
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
145
Machines: Problem Solving II
373
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
373
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
101
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
101


