Pub Date : 2024-06-19DOI: 10.1007/s12541-024-01064-x
Tianqi Wang, Kaiquan Meng, Junjie He, Lei Wang
To realize the intelligence and flexibility of the welding process of medium and thick-walled pipelines, this paper proposes a pipeline welding strategy based on three-line laser vision. The feature points of the weld are obtained by using the fixed points, and the overall contour of the pipe weld is initially fitted to determine the fuzzy position of the weld. After that, path refinement is performed according to the feature point information to complete the welding path planning. Combined with the GA-BP neural network and contour layering strategy to complete the selection of welding technology parameters, establish the relationship model between weld contour information and welding technology parameters to complete the welding task. The experimental results show that the method proposed in this paper can automate the extraction of weld paths and further realize the intelligent and automatic control of the welding process through the prediction of welding technology parameters. The method helps to improve the welding quality and efficiency and reduce the labor cost and production cycle.
{"title":"Welding Strategy for Medium and Thick-Wall Pipes Based on Three-Line Laser","authors":"Tianqi Wang, Kaiquan Meng, Junjie He, Lei Wang","doi":"10.1007/s12541-024-01064-x","DOIUrl":"https://doi.org/10.1007/s12541-024-01064-x","url":null,"abstract":"<p>To realize the intelligence and flexibility of the welding process of medium and thick-walled pipelines, this paper proposes a pipeline welding strategy based on three-line laser vision. The feature points of the weld are obtained by using the fixed points, and the overall contour of the pipe weld is initially fitted to determine the fuzzy position of the weld. After that, path refinement is performed according to the feature point information to complete the welding path planning. Combined with the GA-BP neural network and contour layering strategy to complete the selection of welding technology parameters, establish the relationship model between weld contour information and welding technology parameters to complete the welding task. The experimental results show that the method proposed in this paper can automate the extraction of weld paths and further realize the intelligent and automatic control of the welding process through the prediction of welding technology parameters. The method helps to improve the welding quality and efficiency and reduce the labor cost and production cycle.</p>","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522515","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 : 2024-06-17DOI: 10.1007/s12541-024-01051-2
Wanlin Wang, Huabin Yang, Yilei Wang, Can Weng
Annealing, a critical heat treatment process, is known for its effectiveness in reducing residual stresses in parts affected by temperature and pressure fluctuations during injection molding. This study explores the influence of annealing on residual stress distribution inmicrostructured parts made of three materials—polycarbonate (PC), polymethyl methacrylate (PMMA), and polystyrene (PS)—and featuring two depth-to-width ratios of microprismatic structures. This investigation combines molecular dynamics simulation with annealing experiments. Findings demonstrate that annealing significantly reduces residual stresses across all three materials, albeit with varying degrees of effectiveness. This variation in annealing efficacy is linked to the materials’ properties, particularly the presence of a carbonate base in PC, which notably enhances its annealing response. In detail, for PC parts with a 1:1 depth-to-width ratio in micropillar structures, there was a 15.45% reduction in peak residual stress, while parts with a 2:1 ratio experienced a more substantial reduction of 41.56%. The study attributes these differences in annealing outcomes to the depth-to-width ratios of the microstructures, with larger cavity sizes allowing for more effective molecular chain stretching.
退火是一种关键的热处理工艺，因其能有效减少注塑成型过程中受温度和压力波动影响的零件残余应力而闻名。本研究探讨了退火对由聚碳酸酯（PC）、聚甲基丙烯酸甲酯（PMMA）和聚苯乙烯（PS）三种材料制成的微结构零件中残余应力分布的影响，这些零件具有两种深度与宽度比的微棱镜结构。这项研究结合了分子动力学模拟和退火实验。研究结果表明，退火可显著降低所有三种材料的残余应力，但效果各不相同。这种退火效果的变化与材料的特性有关，特别是 PC 中碳酸盐基的存在，它明显增强了退火反应。具体而言，对于深度与宽度比为 1:1 的微柱结构 PC 部件，峰值残余应力降低了 15.45%，而深度与宽度比为 2:1 的部件则大幅降低了 41.56%。研究将这些退火结果的差异归因于微结构的深宽比，空腔尺寸越大，分子链拉伸越有效。
{"title":"Analyzing Annealing Effects on Residual Stresses in Injection Molded Microstructures","authors":"Wanlin Wang, Huabin Yang, Yilei Wang, Can Weng","doi":"10.1007/s12541-024-01051-2","DOIUrl":"https://doi.org/10.1007/s12541-024-01051-2","url":null,"abstract":"<p>Annealing, a critical heat treatment process, is known for its effectiveness in reducing residual stresses in parts affected by temperature and pressure fluctuations during injection molding. This study explores the influence of annealing on residual stress distribution inmicrostructured parts made of three materials—polycarbonate (PC), polymethyl methacrylate (PMMA), and polystyrene (PS)—and featuring two depth-to-width ratios of microprismatic structures. This investigation combines molecular dynamics simulation with annealing experiments. Findings demonstrate that annealing significantly reduces residual stresses across all three materials, albeit with varying degrees of effectiveness. This variation in annealing efficacy is linked to the materials’ properties, particularly the presence of a carbonate base in PC, which notably enhances its annealing response. In detail, for PC parts with a 1:1 depth-to-width ratio in micropillar structures, there was a 15.45% reduction in peak residual stress, while parts with a 2:1 ratio experienced a more substantial reduction of 41.56%. The study attributes these differences in annealing outcomes to the depth-to-width ratios of the microstructures, with larger cavity sizes allowing for more effective molecular chain stretching.</p>","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141509241","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 : 2024-06-15DOI: 10.1007/s12541-024-01062-z
U. Nath, V. Yadav
{"title":"On the Laser Forming Process of 6061 Aluminium Alloy Sheets with Angular Segment Irradiating Scheme: A Numerical and Statistical Investigation","authors":"U. Nath, V. Yadav","doi":"10.1007/s12541-024-01062-z","DOIUrl":"https://doi.org/10.1007/s12541-024-01062-z","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336020","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 : 2024-06-15DOI: 10.1007/s12541-024-01061-0
Chang-Hwan Lee, K. Gwak
{"title":"Pressure Ulcer Breakout Time Estimation Model for the Wearable Robot Use","authors":"Chang-Hwan Lee, K. Gwak","doi":"10.1007/s12541-024-01061-0","DOIUrl":"https://doi.org/10.1007/s12541-024-01061-0","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337341","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 : 2024-06-15DOI: 10.1007/s12541-024-01014-7
Woojae Lee, J. Won, Garam Park, Taewon Seo
{"title":"Mechanical Survey on Wheeled Mobile Robot Platform for Industrial and Personal Service Robots","authors":"Woojae Lee, J. Won, Garam Park, Taewon Seo","doi":"10.1007/s12541-024-01014-7","DOIUrl":"https://doi.org/10.1007/s12541-024-01014-7","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336389","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 : 2024-06-14DOI: 10.1007/s12541-024-01039-y
Byung-Sub Kim, Seung-Kook Ro
{"title":"Development of a Real-Time Anomaly Detection System for Dry Vacuum Pumps Using Low-Cost IoT Devices and Machine Learning","authors":"Byung-Sub Kim, Seung-Kook Ro","doi":"10.1007/s12541-024-01039-y","DOIUrl":"https://doi.org/10.1007/s12541-024-01039-y","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340052","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 : 2024-06-13DOI: 10.1007/s12541-024-01030-7
Sunwoong Choi, Yong-Ky Moon, Jeongryul Kim, Keri Kim
{"title":"DNN-Based Force Estimation in Hyper-Redundant Manipulators","authors":"Sunwoong Choi, Yong-Ky Moon, Jeongryul Kim, Keri Kim","doi":"10.1007/s12541-024-01030-7","DOIUrl":"https://doi.org/10.1007/s12541-024-01030-7","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348575","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 : 2024-06-13DOI: 10.1007/s12541-024-01063-y
Trung Kien Nguyen, Hung Trong Phi, Ngoc-Tam Bui, S. H. Truong
{"title":"A Novel Grinding Process on Compacted Graphite Iron Using Cutting Fluid with Nano-solid Lubricant Additives","authors":"Trung Kien Nguyen, Hung Trong Phi, Ngoc-Tam Bui, S. H. Truong","doi":"10.1007/s12541-024-01063-y","DOIUrl":"https://doi.org/10.1007/s12541-024-01063-y","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141349813","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 : 2024-06-13DOI: 10.1007/s12541-024-01056-x
Mingi Kim, Jong Hyuk Bae, S. Bai
{"title":"A Novel Model for Copper Electroplating Process Simulation Minimizing Chemical Additives","authors":"Mingi Kim, Jong Hyuk Bae, S. Bai","doi":"10.1007/s12541-024-01056-x","DOIUrl":"https://doi.org/10.1007/s12541-024-01056-x","url":null,"abstract":"","PeriodicalId":14359,"journal":{"name":"International Journal of Precision Engineering and Manufacturing","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348995","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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