基于机器学习的数控加工路径优化研究

摘  要

近年来，数字化制造技术的快速发展与广泛应用推动了数控加工技术的进一步提升。在传统的路径优化方法中，经验指导和手动调整是主要手段，效率低、成本高、需要专业技能。机器学习技术的引入为数控加工路径优化提供了全新的思路和解决方案，可以有效地提高加工效率和优化加工路径。本文从理论和实践两个角度出发，介绍了基于机器学习的数控加工路径优化研究。介绍了数控加工路径优化的相关算法和机器学习相关理论及算法，为后续实验研究提供基础知识。此外，在实践方面，本文提出了基于机器学习的数控加工路径优化方法。本文的研究成果，通过机器学习算法与数控加工路径优化的结合，实现了高效、智能的数控加工路径优化，具有一定的理论和实践意义，可以为数字化制造中的加工技术改善和优化提供借鉴。

关键词：机器学习；数控加工；优化；路径

ABSTRACT

In recent years, the rapid development and widespread application of digital manufacturing technology have promoted the further improvement of CNC machining technology. In traditional path optimization methods, experience guidance and manual adjustment are the main means, which are low in efficiency, high in cost, and require professional skills. The introduction of machine learning technology provides new ideas and solutions for optimizing CNC machining paths, which can effectively improve machining efficiency and optimize machining paths. This article introduces the research on CNC machining path optimization based on machine learning from both theoretical and practical perspectives. Introduced the relevant algorithms for CNC machining path optimization and machine learning theories and algorithms, providing basic knowledge for subsequent experimental research. In addition, in practice, this article proposes a machine learning based optimization method for CNC machining paths. The research results of this article have achieved efficient and intelligent optimization of CNC machining paths through the combination of machine learning algorithms and CNC machining path optimization. It has certain theoretical and practical significance and can provide reference for the improvement and optimization of machining technology in digital manufacturing.
KEYWORDS: Machine learning; CNC machining; Optimization; route

目录

摘  要 I
ABSTRACT II
引言 1
1 有关基础理论的导论 1
1.1关于 NC轨迹的优化算法 1
1.2机器学习的基本原理和算法 1
2基于机器学习的 NC轨迹寻优算法的设计 2
2.1资料的获取与预处理 2
2.2数据集的选取与降维 2
2.3 NC加工轨迹的优化建模 2
2.4轨迹优化的算法过程 3
2.5  NC轨迹的优化设计 3
3 NC轨迹的优化试验设计思想及效果分析 3
3.1试验的设计思想与资料采集 3
3.2系统试验与航迹寻优的效果分析 4
3.3 两种方法在路径寻优中的应用对比 4
结论 5
参考文献 6
 

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