形成过程预测模型和激光覆盖的应用,用于重制的螺杆转子
Haiying Zu1, Yongpeng Liu1, Sihui Chen1
1School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China.
Materials (Basel, Switzerland)
|April 24, 2025
概括
机器人激光覆盖与逆向工程相结合,使复杂金属零件的高质量维修成为可能. 这种方法优化了工艺参数,以便有效地重新制造诸如螺杆转子之类的部件.
科学领域:
- 材料科学与工程 材料科学与工程
- 机器人和自动化 机器人和自动化
- 制造业 制造技术 制造技术
背景情况:
- 复杂的曲面部件往往需要专门的维修技术来进行有效的重制.
- 传统的维修方法可能会与复杂的几何形状作斗争,导致低于最佳性能或过早失效.
- 机器人实现在先进的制造工艺中提供了精度和可重复性.
研究的目的:
- 提出和验证一个机器人激光覆盖工艺与逆向工程相结合,用于修复复杂的曲部件.
- 为了确定螺杆转子的振荡螺旋面上的单通道和多通道激光覆盖的最佳过程参数.
- 开发和测试激光覆盖路径规划和轨迹生成,用于复杂表面的机器人应用.
主要方法:
- 利用响应表面方法 (RSM) 来建模和优化单通激光覆盖参数 (激光功率,粉末料速率,扫描速度).
- 采用差异分析 (ANOVA) 和指数验证来评估模型的准确性.
- 集成逆向工程技术用于复杂的表面路径生成,并进行机器人激光覆盖模拟和实验.
主要成果:
- 确定了最佳的单通激光外参数:激光功率2217W,粉末输入速度2.86r/min,扫描速度400mm/min,实现25.6%的圈速.
- 在复杂的曲面上成功规划和执行了机器人激光覆盖路径.
- 确认了外层和基板之间的良好的金结合,证明了工艺的可行性和有效性.
结论:
- 拟议的机器人激光覆盖和逆向工程方法对于高质量的复杂金属零件再制造是有效的.
- 优化的工艺参数为实现所需的覆盖层特性提供了指导.
- 这种方法为维修和重新制造故障的金属元件提供了宝贵的见解.
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