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2018 IEEE International Conference on Advanced Manufacturing (ICAM)最新文献

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A Digital Evaluation System for Inclusions in Steel 钢中夹杂物的数字化评价系统
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8615078
Chia-Sui Wang, Wesley Huang, M. Yeh, Jou-Wei Lin
Inclusions in steel materials are generally composed of oxide, silicate from silica, sulfide, and other chemical compounds. These inclusions in steel cause stress concentration on the contact surface between inclusions and steel base, which result in a quenching crack and a decrease of fatigue strength. The inspection of inclusions in steel is high in demand, and is typically carried out manually. This study used a rule-based methodology to develop a division-making architecture for a digital evaluation system. The results from comparison experiments showed that the difference of evaluation grade between digital and manual evaluations was 0.5. Moreover, the time spent on digital evaluation was 30-50 times faster than manual evaluation. In summary, the digital evaluation developed by this study for inclusions is suitable for metallographic inspection.
钢材料中的夹杂物通常由氧化物、二氧化硅中的硅酸盐、硫化物和其他化合物组成。钢中的夹杂物使夹杂物与钢基体接触表面应力集中,产生淬火裂纹,使钢的疲劳强度降低。钢材中夹杂物的检测需求量很大,通常是手工进行的。本研究使用基于规则的方法为数字评估系统开发了一个划分架构。对比实验结果表明,数字化评价与人工评价的评价等级差为0.5。此外,数字化评估的时间比人工评估快30-50倍。综上所述,本研究开发的夹杂物数字化评价方法适用于金相检验。
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引用次数: 0
Investigating Multiple Quality Objectives for Surface Roughness and Dimensional Accuracy of Carbon Steel Manufactured by Turn-Mill Multitasking Machining 车铣多任务加工碳钢表面粗糙度和尺寸精度的多重质量目标研究
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614911
Wei-Tai Huang, Ting-Yi Lee, J. Chou
This research in multiple quality objectives of the turning and milling multitasking machining is based on the Taguchi process and the fuzzy theory. These two methods can quickly find the best processing parameters to obtain the best surface roughness and dimensional accuracy and reduce the research cost and save research time. In this research, the Taguchi robust process $L9 (3^{4})$ orthogonal table was used to find the individual optimized process parameters. The control factors used were spindle speed (RPM), feed (mm/min), and C-axis brake pressure (kg/$cm^{2})$.), the axial cutting depth, and then taking the surface roughness and dimensional accuracy as the characteristic indicators, and then the respective signal-to-noise ratio (S/N) is grayed out according to the experimental sequence to generate normalization, and the gray correlation coefficient is obtained. Further, a Multiple Performance Characteristic Index (MPCI) is obtained. The research results clearly demonstrated that the overall results of the process optimum parameters obtained by using the measurement indicators of multiple quality characteristics prevail the results of the individual optimized process parameters.
基于田口法和模糊理论,对车铣多任务加工的多质量目标进行了研究。这两种方法可以快速找到最佳的加工参数,获得最佳的表面粗糙度和尺寸精度,降低了研究成本,节省了研究时间。在本研究中,采用田口鲁棒过程$L9(3^{4})$正交表来寻找各个优化的工艺参数。所采用的控制因素为主轴转速(RPM)、进给量(mm/min)、c轴制动压力(kg/$cm^{2})、轴向切削深度,然后以表面粗糙度和尺寸精度为特征指标,根据实验顺序对各自的信噪比(S/N)进行灰化处理,生成归一化,得到灰色相关系数。进一步,得到了多性能特征指数(MPCI)。研究结果清楚地表明,采用多个质量特性测量指标得到的工艺优化参数的总体结果优于单个工艺参数的优化结果。
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引用次数: 4
Diagnosis of heavy metal cross contamination in leaf of rice based on hyperspectral image: a greenhouse experiment 基于高光谱图像的水稻叶片重金属交叉污染诊断:温室试验
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614938
Shuangyin Zhang, Teng Fei, Yanhong Ran
The objective of this study was to explore the feasibility for rapid diagnosis of heavy metal Pb and Cd cross contamination in agricultural soil with hyperspectral image of rice plants. Several data pretreatment methods were applied to improve the diagnosis accuracy. The best diagnosis accuracy of SVM model were all above 75% for any none, low, medium and high concentration stress based on the spectral band of second derivative. To the best of our knowledge, this is the first study identifying Pb and Cd cross contamination by using hyperspectral images. The results indicates that it is feasible to diagnose the Pb and Cd cross contamination in agricultural soils from observation of rice plants using hyperspectral image.
本研究旨在探讨利用水稻植物高光谱图像快速诊断农业土壤中重金属铅、镉交叉污染的可行性。为了提高诊断准确率,采用了多种数据预处理方法。基于二阶导数谱带的SVM模型对无、低、中、高浓度应力的最佳诊断准确率均在75%以上。据我们所知,这是第一个利用高光谱图像识别铅和镉交叉污染的研究。结果表明,利用高光谱图像从水稻植株观测中诊断农业土壤中铅镉交叉污染是可行的。
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引用次数: 4
Fractal Characteristics of Particle Size on Debris Flow 泥石流粒径的分形特征
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8615029
Tung-chiung Chang, Chen Wu, Yuan-Min Chu
Taiwan has suffered from debris flow disaster in the past decade. Potential debris flow has increased from 485 streams in 1991, to as high as 1719 streams now. These natural disasters affected villages and the safety of Taiwanese residents. As a result, it is necessary to look into more debris flow relevant researches and analytical work.This paper is investigating debris flow streams and analyzing the characteristic of particle river bed. Through the use of fractal theory, we are able to figure out debris flow stream's fractal quantized value.
台湾在过去的十年中遭受了泥石流灾害。潜在的泥石流从1991年的485条增加到现在的1719条。这些自然灾害影响到村庄和台湾居民的安全。因此,有必要开展更多的泥石流相关研究和分析工作。本文对泥石流进行了研究,分析了颗粒河床的特征。利用分形理论,可以求出泥石流的分形量化值。
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引用次数: 0
Using Convolutional Neural Network for Vibration Fault Diagnosis Monitoring in Machinery 卷积神经网络在机械振动故障诊断监测中的应用
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614967
C. W. Yeh, Rongshun Chen
This work proposes an intelligent bearing fault diagnosis system using Convolutional Neural Network (CNN) in deep learning to achieve the abnormal identification of bearing vibration. In this system, the convolutional kernel in CNN can automatically extract the features of input signals and no human feature extraction and other data pre-processing are required. As a result, comparing to the traditional signal processing methods, this work has the advantages of automated end-to-end, high-accuracy and intelligent machine troubleshooting in vibration fault diagnosis of bearings.
本文提出了一种利用深度学习中的卷积神经网络(CNN)实现轴承振动异常识别的智能轴承故障诊断系统。在该系统中,CNN中的卷积核可以自动提取输入信号的特征,不需要人工进行特征提取和其他数据预处理。因此,与传统的信号处理方法相比,本工作在轴承振动故障诊断中具有端到端自动化、高精度、智能机故障排除的优点。
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引用次数: 5
Analysis and Fabrication of Periodic Graphene-like Structures with Zinc Oxide Piezoelectric Material 氧化锌压电材料周期性类石墨烯结构的分析与制备
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614945
Zi-Gui Huang, Shenghan Hu
This study conducted simulation analysis and experiments on novel piezoelectric acoustic wave components, using finite element analysis software to explore the dispersion relation of piezoelectric components with various periodic structures, shapes, and thicknesses. A microelectromechanical system was employed to etch micropatterns onto films. This study developed four different piezoelectric structures, namely flat, periodic, and single-and dual-defect structures, and measured the frequency response variations in radio frequency and phase signals. The acoustic wave responses of a graphene-like structure with defect distribution were analyzed to develop, design, and fabricate a novel oscillator component. In addition to exploring the bandgap effect in the graphene-like structure model, this study also developed a frequency sweep model for the design of novel oscillating components.
本研究对新型压电声波元件进行了仿真分析和实验,利用有限元分析软件探索不同周期结构、形状和厚度的压电元件的色散关系。采用微机电系统将微图案蚀刻到薄膜上。本研究开发了四种不同的压电结构,即扁平结构、周期结构、单缺陷和双缺陷结构,并测量了射频和相位信号的频率响应变化。分析了具有缺陷分布的类石墨烯结构的声波响应,从而开发、设计和制造了一种新型振荡器元件。除了探索类石墨烯结构模型中的带隙效应外,本研究还开发了一种用于设计新型振荡元件的频率扫描模型。
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引用次数: 0
Fabrication of a polymeric optical filter based on an asymmetric Bragg coupler with liquid crystal 基于液晶非对称布拉格耦合器的聚合物滤光片的制备
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8615010
Yu-Wen Luo, Li-Ling Chu, You-Rang Chen, W. Chuang
An optical add/drop multiplexer, based on asymmetric Bragg couplers with liquid crystal filled in a core of the waveguides, is fabricated. The asymmetric Bragg couplers (ABCs) are fabricated by employing micro-electro-mechanical systems (MEMSs) technologies and holographic interference lithography. In one of the core trench, the liquid crystal is dripped to increase the average effective refractive index of the waveguide. The experimental results show the device is feasible in dense wavelength division multiplexing (DWDM) systems.
采用非对称布拉格耦合器,在波导核心填充液晶,制备了一种光学加/滴多路复用器。采用微机电系统(mems)和全息干涉光刻技术制备了非对称布拉格耦合器(abc)。在其中一个核心沟槽中滴入液晶以增加波导的平均有效折射率。实验结果表明,该装置在密集波分复用(DWDM)系统中是可行的。
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引用次数: 0
Development of Numerical Control Program Based on Mastercam Tool Path 基于主凸轮刀具轨迹的数控程序开发
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614963
C. She, Jian-Da Chen, Wen-jie Zhuang
Postprocessor converting the tool path into numerical control (NC) program is the key technology of NC programming and also an important medium between CAD/CAM system and machine tool. The purpose of this study is to analyze the tool path file NC Intermediate (NCI) produced by the commercial software Mastercam, including the data of the tip point, contact point, contact point vector and other related information. A window-based conversion interface written by Visual C # was developed to transform the NCI file to the required multi-axis NC program and a process operation sheet for the table/spindle-tilting type of five-axis machine tool configuration. It confirms the feasibility of the proposed scheme through verification using the solid cutting simulation software VERICUT® and trial-cut experiment.
后置处理器将刀具轨迹转换成数控程序是数控编程的关键技术,也是CAD/CAM系统与机床之间的重要媒介。本研究的目的是分析由商业软件Mastercam产生的刀具路径文件NC Intermediate (NCI),包括尖端点、接触点、接触点矢量等相关信息的数据。开发了基于窗口的Visual c#转换界面,将NCI文件转换为所需的多轴数控程序和工作台/主轴倾斜型五轴机床配置的工艺操作表。通过实体切削仿真软件VERICUT®的验证和试切实验,证实了所提方案的可行性。
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引用次数: 1
Comparison the Plane Precision of UAS Aerial Survey Between Image Processing and GNSS Measuring Data 图像处理与GNSS测量数据的UAS航测平面精度比较
Pub Date : 2018-11-01 DOI: 10.1109/AMCON.2018.8614968
Tsung-Yi Lin, Jung-Fa Wang, Hung-Lin Lin, Cheng-Tsung Lee
Based on MVS/SfM of the image processing technology, UAS photogrammetry is able to produce high precision orthophoto. The inner precision data of orthophoto can be provided after aligning photo in precision report, including ground resolution of the total image, the RMSE of control point and checkpoint by image processing software. However, while measuring the coordinates of image point from orthophoto in surveying project, we cannot realize the real amount of error from report. For obtaining the real amount of error when measures image coordinates from the orthophoto, this study conducted e-GNSS measurements on the control points, check points and feature points selected from the image. And compare the coordinates of the image measurement with the measured coordinates. The result finds out that the average deviation of control points is about 2.9 cm, the average deviation of check points is about 4.0 cm, the average deviation of feature point is about 6.1 cm. The data of feature point shall be taken as reference in project, for decreasing deviation, shall decrease image deviation in prior concern.
基于MVS/SfM的图像处理技术,UAS摄影测量能够产生高精度的正射影像。在精度报告中对正射影像仪的内部精度数据,包括总像的地面分辨率,通过图像处理软件得到的控制点和检查站的RMSE。然而,在测量工程中,利用正射影像测量像点坐标时,我们无法从报告中了解到真实的误差量。为了获得正射影像测量图像坐标时的真实误差量,本研究对图像中选取的控制点、检查点和特征点进行了e-GNSS测量。并将图像测量坐标与实测坐标进行比较。结果表明,控制点的平均偏差约为2.9 cm,检查点的平均偏差约为4.0 cm,特征点的平均偏差约为6.1 cm。在工程中应以特征点的数据为参考,为了减小偏差,应减小先前关注的图像偏差。
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引用次数: 0
ICAM 2018 Author Index ICAM 2018作者索引
Pub Date : 2018-11-01 DOI: 10.1109/amcon.2018.8614817
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引用次数: 0
期刊
2018 IEEE International Conference on Advanced Manufacturing (ICAM)
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