通过3D切割模拟和机器学习模型研究影响工具振动和表面质量的因素,在转过程中进行3D切割模拟和机器学习模型
Quang Ngoc The Ho1,2, Thanh Trung Do1, Pham Son Minh1
1Faculty of Mechanical Engineering, HCMC University of Technology and Education, Ho Chi Minh City 71307, Vietnam.
Micromachines
|May 27, 2023
概括
这项研究模拟了工艺,发现工具硬度是表面质量的关键. 超过60毫米的关键工具持有器长度显著增加了表面粗度 (Rz).
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
- 计算力学 计算力学 计算力学
背景情况:
- 高品质的加工产品,特别是通过,越来越受欢迎.
- 数字计算和控制技术的进步对于提高生产率和产品质量至关重要.
研究的目的:
- 模拟和分析影响工具振动和工件表面质量在转过程中的因素.
- 为了确定影响表面粗度的关键工具持有器长度.
主要方法:
- 模拟切削力和工具持有器振荡.
- 在切削力下分析工具持有者的行为.
- 机器学习模型的应用,以将过程参数与表面粗度相关联.
主要成果:
- 工具硬度被确定为表面质量的最关键因素.
- 确定了60毫米的关键工具持有器长度.
- 超过临界长度会导致表面粗度 (Rz) 迅速增加,达到大约20微米.
结论:
- 模拟和机器学习有效地预测了转过程中的表面质量.
- 优化工具持有器的长度对于实现所需的表面粗度至关重要.
- 工具硬度和工具持有器的长度是转操作中表面质量的主要决定因素.
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