Pub Date : 2023-10-31DOI: 10.1007/s12541-023-00912-6
Sijun Ryu, Jeeho Won, Hobyeung Chae, Hwa Soo Kim, TaeWon Seo
{"title":"Evaluation Criterion of Wheeled Mobile Robotic Platforms on Grounds: A Survey","authors":"Sijun Ryu, Jeeho Won, Hobyeung Chae, Hwa Soo Kim, TaeWon Seo","doi":"10.1007/s12541-023-00912-6","DOIUrl":"https://doi.org/10.1007/s12541-023-00912-6","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"114 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135863366","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}
Pub Date : 2023-10-30DOI: 10.1007/s12541-023-00907-3
Iván Sánchez-Calleja, Alberto Martínez-Gutiérrez, Rubén Ferrero-Guillén, Javier Díez-González, Hilde Perez
{"title":"Contact System Method for the Precise Interaction Between Cobots and Mobile Robots in Smart Manufacturing","authors":"Iván Sánchez-Calleja, Alberto Martínez-Gutiérrez, Rubén Ferrero-Guillén, Javier Díez-González, Hilde Perez","doi":"10.1007/s12541-023-00907-3","DOIUrl":"https://doi.org/10.1007/s12541-023-00907-3","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"943 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067756","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}
Pub Date : 2023-10-30DOI: 10.1007/s12541-023-00915-3
Yoon-Soo Jang, Jungjae Park, Jonghan Jin
{"title":"A Review of a Spectral Domain Interferometer with a Frequency Comb for Length Measurement","authors":"Yoon-Soo Jang, Jungjae Park, Jonghan Jin","doi":"10.1007/s12541-023-00915-3","DOIUrl":"https://doi.org/10.1007/s12541-023-00915-3","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"39 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067921","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}
Pub Date : 2023-10-30DOI: 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":"25 9","pages":"0"},"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}
Pub Date : 2023-10-26DOI: 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":"106 1-3","pages":"0"},"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}
Pub Date : 2023-10-24DOI: 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.
{"title":"Real-Time Defect Monitoring of Laser Micro-drilling Using Reflective Light and Machine Learning Models","authors":"Yong Kwan Lee, Sumin Lee, Sung Hwan Kim","doi":"10.1007/s12541-023-00849-w","DOIUrl":"https://doi.org/10.1007/s12541-023-00849-w","url":null,"abstract":"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.","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135274009","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}
Pub Date : 2023-10-17DOI: 10.1007/s12541-023-00908-2
Taeheon Lee, Yoonseok Kim, Youngjoo Hyun, Jeonghoon Mo, Youngjun Yoo
{"title":"Unsupervised Anomaly Detection Process Using LLE and HDBSCAN by Style-GAN as a Feature Extractor","authors":"Taeheon Lee, Yoonseok Kim, Youngjoo Hyun, Jeonghoon Mo, Youngjun Yoo","doi":"10.1007/s12541-023-00908-2","DOIUrl":"https://doi.org/10.1007/s12541-023-00908-2","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135994258","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}
Pub Date : 2023-10-17DOI: 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.
{"title":"Experimental and Numerical Investigations of the Fatigue Life of AA2024 Aluminium Alloy-Based Nanocomposite Reinforced by TiO2 Nanoparticles Under the Effect of Heat Treatment","authors":"Hamid M. Mahan, S. V. Konovalov, Sherwan Mohammed Najm, Oleksik Mihaela, Tomasz Trzepieciński","doi":"10.1007/s12541-023-00906-4","DOIUrl":"https://doi.org/10.1007/s12541-023-00906-4","url":null,"abstract":"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.","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136033537","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}
Pub Date : 2023-10-14DOI: 10.1007/s12541-023-00911-7
Jingfan Liu, Zhaobing Liu
{"title":"The Vision-Based Target Recognition, Localization, and Control for Harvesting Robots: A Review","authors":"Jingfan Liu, Zhaobing Liu","doi":"10.1007/s12541-023-00911-7","DOIUrl":"https://doi.org/10.1007/s12541-023-00911-7","url":null,"abstract":"","PeriodicalId":49178,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804351","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}
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