实时自适应纳米流体为基础的滑在不钢转换使用智能自动调整的MQL系统
Mahip Singh1,2, Amit Rai Dixit2, Anuj Kumar Sharma1,3
1Innovation Hub UP, Dr. APJ Abdul Kalam Technical University, Lucknow 226031, India.
Materials (Basel, Switzerland)
|October 29, 2025
概括
本研究引入了一种适应性滑系统,用于不钢转,通过实时智能调节纳米流体度和流量,显著改善表面质量和减少切削力.
科学领域:
- 制造业 工程 制造工程
- 材料科学 材料科学 材料科学
- 部落学 (tribology) 是一个学科.
背景情况:
- 由于切割条件动态,不钢加工面临着工具寿命,表面表面和环境影响的挑战.
- 传统的最小量滑 (MQL) 系统缺乏适应性,无法在波动的工艺负载下优化滑.
- 现有的MQL系统提供固定的流速,限制实时流程调整的有效性.
研究的目的:
- 开发和验证适应环境意识的自动调整MQL (ATM) 系统,以提高加工性能.
- 根据实时传感器反,动态控制纳米流体度和滑剂流量.
- 提高表面质量,减少切削力,提高不钢制的可持续性.
主要方法:
- 采用嵌入式传感器监测切割温度,表面粗度和环境条件的ATM系统.
- 开发一个反驱动的控制算法,以实时优化滑输送.
- 使用Taguchi L9设计进行实验验证,用于AISI 304不钢转,变化料速率,切割速度和纳米流体度.
主要成果:
- 与传统的MQL相比,ATM系统将表面粗度降低了50%以上,切削力减少了约20%.
- 通过回归模型 (R平方>99%) 实现了高预测准确度.
- 表面分析表明,在适应性滑策略下,粘附性和磨损性降低.
结论:
- 拟议的环境意识的自适应MQL系统为机械加工中的智能实时滑控制提供了强大的解决方案.
- 纳米流体度和流速的动态优化显著提高了加工结果和可持续性.
- 该ATM系统有效地解决了在波动的过程环境中传统MQL系统的局限性.
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