相关实验视频
Updated: Jul 15, 2025
06:05
Additive Manufacturing-Enabled Low-Cost Particle Detector
Published on: March 24, 2023
1.3K
用机器学习进行增材制造的缺陷分类
Mika León Altmann1, Thiemo Benthien1,2, Nils Ellendt1,2
1Leibniz Institute for Materials Engineering-IWT, Badgasteiner Straße 3, 28359 Bremen, Germany.
Materials (Basel, Switzerland)
|September 28, 2023
概括
本研究引入了一个随机森林模型来分类金属添加剂制造中的内部缺陷. 该模型准确地识别了钥匙孔,缺乏融合和工艺孔,改善了3D打印中的质量控制.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算机科学 计算机科学
背景情况:
- 增材制造 (AM) 提供了设计灵活性,但可以引入内部缺陷,如毛孔.
- 这些缺陷,包括钥匙孔和缺乏融合孔,显著影响部件的机械性能.
- 缺陷类型,大小和形态学影响机械性能,组件经常表现出多种缺陷类型.
研究的目的:
- 开发一个强大的分类模型,用于识别和区分金属AM元件的内部缺陷.
- 评估随机森林模型的性能与未经监督的缺陷分类方法相比.
- 为缺陷分析提供一个实用的工具,而不需要现场监测.
主要方法:
- 开发了一种随机森林树模型,用于从微图的二进制图像中对缺陷进行分类.
- 该模型被训练来区分钥匙孔缺陷,缺乏融合缺陷和工艺孔隙.
- 通过将分类准确性与无监督学习模型进行比较来评估性能.
主要成果:
- 随机森林模型在分类钥匙孔,缺乏融合和过程孔的准确性达到约95%.
- 无监督模型显示预测准确度明显较低,低于60%.
- 由于钥匙孔缺陷的不规则性,分类准确度以区分缺乏融合和钥匙孔缺陷受制造参数的影响.
结论:
- 开发的随机森林模型提供了一个高度准确的方法来分类增材制造中的关键内部缺陷.
- 这种方法为金属3D打印中的质量评估和流程优化提供了有价值的工具.
- 该模型的有效性凸显了机器学习在分析微观结构缺陷的潜力,而无需先进的监测系统.
相关概念视频
01:23Lumber Defects
140
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
140
01:48Classification of Skeletal Muscle Fibers
56.6K
Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
56.6K
01:09Functional Classification of Joints
4.2K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
4.2K