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International Journal of Precision Engineering and Manufacturing最新文献

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Contact System Method for the Precise Interaction Between Cobots and Mobile Robots in Smart Manufacturing 智能制造中协作机器人与移动机器人精确交互的接触系统方法
4区 工程技术 Q2 Engineering Pub Date : 2023-10-30 DOI: 10.1007/s12541-023-00907-3
Iván Sánchez-Calleja, Alberto Martínez-Gutiérrez, Rubén Ferrero-Guillén, Javier Díez-González, Hilde Perez
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引用次数: 0
A Review of a Spectral Domain Interferometer with a Frequency Comb for Length Measurement 一种用于长度测量的频率梳型谱域干涉仪的研究进展
4区 工程技术 Q2 Engineering Pub Date : 2023-10-30 DOI: 10.1007/s12541-023-00915-3
Yoon-Soo Jang, Jungjae Park, Jonghan Jin
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引用次数: 0
Thermal Performance Evaluation of Micro Pin–Fin Heat Exchangers: Part I—Geometrical Design Parameters Optimization 微型针翅式换热器的热性能评价:第一部分-几何设计参数优化
4区 工程技术 Q2 Engineering Pub Date : 2023-10-30 DOI: 10.1007/s12541-023-00925-1
Hreetabh Kishore, Mainak Pal, Chandrakant K. Nirala, Anupam Agrawal
{"title":"Thermal Performance Evaluation of Micro Pin–Fin Heat Exchangers: Part I—Geometrical Design Parameters Optimization","authors":"Hreetabh Kishore, Mainak Pal, Chandrakant K. Nirala, Anupam Agrawal","doi":"10.1007/s12541-023-00925-1","DOIUrl":"https://doi.org/10.1007/s12541-023-00925-1","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermal Performance Evaluation of Micro Pin–Fin Heat Exchangers: Part II—Numerical Simulation and Fabrication Demonstration 微型针翅式换热器的热性能评估:第二部分-数值模拟和制造演示
4区 工程技术 Q2 Engineering Pub Date : 2023-10-30 DOI: 10.1007/s12541-023-00926-0
Hreetabh Kishore, Mainak Pal, Chandrakant K. Nirala, Anupam Agrawal
{"title":"Thermal Performance Evaluation of Micro Pin–Fin Heat Exchangers: Part II—Numerical Simulation and Fabrication Demonstration","authors":"Hreetabh Kishore, Mainak Pal, Chandrakant K. Nirala, Anupam Agrawal","doi":"10.1007/s12541-023-00926-0","DOIUrl":"https://doi.org/10.1007/s12541-023-00926-0","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Feasibility Test of Motorized Hand-Held Devices for Intra-compartmental Pressure Monitoring 电动手持式室内压力监测装置的设计与可行性试验
4区 工程技术 Q2 Engineering Pub Date : 2023-10-26 DOI: 10.1007/s12541-023-00910-8
Bomi Yang, Jaeho Hyun, Jingyu Kim, Jihoon Kweon, Jaesoon Choi, Youngjin Moon, Ji Wan Kim
{"title":"Design and Feasibility Test of Motorized Hand-Held Devices for Intra-compartmental Pressure Monitoring","authors":"Bomi Yang, Jaeho Hyun, Jingyu Kim, Jihoon Kweon, Jaesoon Choi, Youngjin Moon, Ji Wan Kim","doi":"10.1007/s12541-023-00910-8","DOIUrl":"https://doi.org/10.1007/s12541-023-00910-8","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-Time Defect Monitoring of Laser Micro-drilling Using Reflective Light and Machine Learning Models 基于反射光和机器学习模型的激光微孔缺陷实时监测
4区 工程技术 Q2 Engineering Pub Date : 2023-10-24 DOI: 10.1007/s12541-023-00849-w
Yong Kwan Lee, Sumin Lee, Sung Hwan Kim
Abstract Laser micro-drilling is a significant manufacturing method used to drill precise microscopic holes into metals. Quality inspection of micro-holes is costly and redrilling defective holes can lead to imperfection owing to the misalignment in re-aligning the removed specimens. Thus this paper proposes an in-situ, automatic inspection method using photodiode data and machine learning models to detect defects in real-time during the fabrication of SK5 steel plates with 1064 nm Nd:YAG Laser machines to reduce the workload and increase the quality of products. Further, it explores the possibility of generalizing the models to 51 different scenarios of fabrication by classifying unseen data into 51 classes. A dataset of around 1,500,000 time series data points was generated using an optical probe while drilling over 56,000 holes into test specimens. 15 different combinations of thickness and diameter were drilled using suggested parameters. An additional 12 potential defect-prone conditions were designed to obtain data during conditional drilling. Hole quality was measured for each hole using OGP 3D profile microscope measuring machine. Results showed high accuracy in specialized defect detection within each scenario and showed a possibility of classifying photodiode data patterns, offering opportunities to improve the practicality of the proposed solution.
激光微孔是一种重要的制造方法,用于在金属上钻出精密的微孔。微孔的质量检测是昂贵的,并且由于重新对准被移除的样品时的不对准,重新钻孔缺陷孔可能导致不完美。为此,本文提出了一种利用光电二极管数据和机器学习模型对1064 nm Nd:YAG激光加工SK5钢板过程中的缺陷进行实时检测的原位自动检测方法,以减少工作量,提高产品质量。此外,它探讨了通过将未见数据分类为51类,将模型推广到51种不同制造场景的可能性。使用光学探针在测试样本上钻了56,000多个孔,生成了大约150万个时间序列数据点的数据集。根据建议的参数,钻取了15种不同的厚度和直径组合。另外还设计了12个潜在缺陷易发工况,以便在条件钻井期间获取数据。采用OGP三维轮廓显微镜测量机对每个孔进行孔质量测量。结果表明,在每种情况下,专业缺陷检测的准确性很高,并且显示了对光电二极管数据模式进行分类的可能性,为提高所提出解决方案的实用性提供了机会。
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引用次数: 0
Unsupervised Anomaly Detection Process Using LLE and HDBSCAN by Style-GAN as a Feature Extractor 基于Style-GAN的LLE和HDBSCAN的无监督异常检测
4区 工程技术 Q2 Engineering Pub Date : 2023-10-17 DOI: 10.1007/s12541-023-00908-2
Taeheon Lee, Yoonseok Kim, Youngjoo Hyun, Jeonghoon Mo, Youngjun Yoo
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引用次数: 0
Experimental and Numerical Investigations of the Fatigue Life of AA2024 Aluminium Alloy-Based Nanocomposite Reinforced by TiO2 Nanoparticles Under the Effect of Heat Treatment 热处理作用下TiO2纳米增强AA2024铝合金基纳米复合材料疲劳寿命的实验与数值研究
4区 工程技术 Q2 Engineering Pub Date : 2023-10-17 DOI: 10.1007/s12541-023-00906-4
Hamid M. Mahan, S. V. Konovalov, Sherwan Mohammed Najm, Oleksik Mihaela, Tomasz Trzepieciński
Abstract Using aluminium metal matrix nanocomposites has recently gained increased attention in the industry due to their high strength and ductility. In this paper, TiO 2 nanoparticles in volume percentages of 5 wt. % were added to the AA2024 alloy using the stir casting method. Using a novel powder injection system, TiO 2 nanoparticles with an average particle size of 30 ± 5 nm was added to the matrix. The influence of TiO 2 content on the fatigue life before and after heat treatment was studied. The results showed the fatigue properties of AA2024 with TiO 2 nanoparticles increased after heat treatment. The optimum improvement in fatigue properties was obtained at 5 wt. % TiO 2 after heat treatment, with an improving fatigue life in 14.71% compared with sample based. This is due to an increased number of fine precipitates besides its uniformly distributed after heat treatment. The fatigue life of the composite materials with added nanoparticles was investigated using a finite element-based ANSYS workbench. There was a good match between what happened in the experiments and what happened to the numerical fatigue strength. For the composite materials, the difference between the experimental and numerical values of fatigue strength was not greater than 4% for the matrix. The results also, indicated that, after ageing, the precipitate-free zone at the inter-dendritic zone disappeared or became smaller. However, after adding 5 wt. % of titanium and, also, performing heat treatment, it is not possible to precipitate the Al 2 CuMg precipitates, and, instead of it, the Al 3 TiCu and Al 7 TiCu phases precipitates have been formed.
金属铝基纳米复合材料由于其高强度和高延展性,近年来越来越受到业界的关注。采用搅拌铸造的方法,将体积百分比为5wt . %的tio2纳米颗粒加入到AA2024合金中。采用新型粉末注射系统,将平均粒径为30±5 nm的tio2纳米颗粒加入到基体中。研究了热处理前后tio2含量对疲劳寿命的影响。结果表明:经过热处理后,纳米tio2的AA2024材料的疲劳性能有所提高。热处理后,当tio2浓度为5 wt. %时,合金的疲劳性能得到了最佳改善,与样品相比,疲劳寿命提高了14.71%。这是由于热处理后除均匀分布外,细小析出物数量增加所致。利用ANSYS有限元分析平台对纳米颗粒的加入对复合材料的疲劳寿命进行了研究。实验结果与数值疲劳强度吻合较好。对于复合材料,基体疲劳强度的实验值与数值值的差异不大于4%。结果还表明,时效后,枝晶间的无析出区消失或变小。然而,在加入5 wt. %的钛并进行热处理后,不可能析出Al 2 cu相,取而代之的是Al 3 TiCu和Al 7 TiCu相的析出相。
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引用次数: 0
The Vision-Based Target Recognition, Localization, and Control for Harvesting Robots: A Review 基于视觉的采伐机器人目标识别、定位与控制研究综述
4区 工程技术 Q2 Engineering Pub Date : 2023-10-14 DOI: 10.1007/s12541-023-00911-7
Jingfan Liu, Zhaobing Liu
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引用次数: 0
A Critical Review of Machine Learning Methods Used in Metal Powder Bed Fusion Process to Predict Part Properties 在金属粉末床熔合过程中用于预测零件性能的机器学习方法综述
4区 工程技术 Q2 Engineering Pub Date : 2023-10-07 DOI: 10.1007/s12541-023-00905-5
Can Barış Toprak, C. U. Dogruer
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引用次数: 0
期刊
International Journal of Precision Engineering and Manufacturing
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