Welding in the World最新文献_第2页

Intelligent welding manufacturing—generative AI empowering advancements 智能焊接制造——生成式AI赋能技术进步

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-02-03 DOI: 10.1007/s40194-026-02370-w

Peng Edward Wang, Stephan Egerland, Yuming Zhang

引用次数: 0

Selected applications of artificial intelligence and machine learning in metal additive manufacturing 人工智能和机器学习在金属增材制造中的应用

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-31 DOI: 10.1007/s40194-026-02335-z

David W. Rosen, Xiaofang Liu

引用次数: 0

Experimental demonstration of creep life improvement in welded joints through optimized welding conditions 通过优化焊接条件提高焊接接头蠕变寿命的实验论证

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-30 DOI: 10.1007/s40194-025-02288-9

Hitoshi Izuno, Masahiko Demura, Kenji Nagata, Daisuke Abe, Keisuke Torigata

{"title":"Experimental demonstration of creep life improvement in welded joints through optimized welding conditions","authors":"Hitoshi Izuno, Masahiko Demura, Kenji Nagata, Daisuke Abe, Keisuke Torigata","doi":"10.1007/s40194-025-02288-9","DOIUrl":"10.1007/s40194-025-02288-9","url":null,"abstract":"<div><p>Creep tests were conducted on weld joints under welding conditions with high creep performance. 2 1/4Cr-1Mo steel, which is widely used in high-temperature components such as boilers and piping of power and petrochemical plants, was selected as the target material. The creep performance of weld joints is governed by the stress distribution in the fine-grained heat affected zone (HAZ) during welding, which in turn depends on the HAZ shape. In this study, we demonstrated that creep performance can be controlled by welding conditions. The welding conditions were determined using a tandem Bayesian model that linked welding conditions and creep life through HAZ shape factors. This framework is a probabilistic combination of two surrogate models: a Gaussian process that predicts the HAZ shape from welding parameters, and a Bayesian linear regression that estimates the rupture life. The search targets are the number of layers, layer thickness, and heat input. Long-life conditions that were 1.8 times longer than the maximum life of the initial training data were explored. Two other conditions were selected: standard welding conditions and short-life welding conditions. Welding and creep tests were performed, and the results of the creep tests were in the order of long > standard > short. The HAZ shapes reflected the differences in life, as expected from the welding conditions. In conclusion, it was proved that the creep life can be controlled by adjusting the welding conditions.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"70 4","pages":"1423 - 1439"},"PeriodicalIF":2.5,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-02288-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147562025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Empirical study on the definition of structural hot spot stress 结构热点应力定义的实证研究

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-29 DOI: 10.1007/s40194-026-02355-9

Norio Yamamoto, Satoyuki Tanaka

引用次数: 0

Fatigue strength maximization potential of different post weld treatment procedures with regard to the enhanced application of high-strength structural steels 不同焊后处理工艺在提高高强度结构钢应用中的疲劳强度最大化潜力

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-29 DOI: 10.1007/s40194-026-02336-y

Thomas Nitschke-Pagel, Tom Werner, Klaus Dilger, Lea Wendler, Imke Engelhardt

引用次数: 0

Static and fatigue strength of laser-beam-welded steel-aluminium lap joints 激光焊接钢-铝搭接接头的静强度和疲劳强度

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-27 DOI: 10.1007/s40194-026-02338-w

Tim Korschinsky, Rabi Lahdo, Benjamin Möller, Jörg Baumgartner, Sarah Seffer, Jörg Hermsdorf, Stefan Kaierle

{"title":"Static and fatigue strength of laser-beam-welded steel-aluminium lap joints","authors":"Tim Korschinsky, Rabi Lahdo, Benjamin Möller, Jörg Baumgartner, Sarah Seffer, Jörg Hermsdorf, Stefan Kaierle","doi":"10.1007/s40194-026-02338-w","DOIUrl":"10.1007/s40194-026-02338-w","url":null,"abstract":"<div><p>This study investigates the laser beam welding of steel to aluminium plates using a lap joint configuration, emphasising the potential of dissimilar material designs for achieving lightweight components. It focuses on both the welding process and the static and fatigue strength characteristics of the welded joints. Specimens were tested under static loads and cyclical fatigue conditions to determine the endurable stresses. A comparative analysis was conducted against the endurable nominal stresses of T-stake welded joints, providing insights into the mechanical behaviour and durability of steel-aluminium connections. On the one hand, the findings underscore the significant influence of welding parameters on joint performance, revealing how an adequate welding process can enhance the strength and longevity of dissimilar metal joints in structural applications. On the other hand, robustness of laser beam welding is shown as the expected variations in the welding process lead to minor deviations on the tensile and fatigue strength.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"70 5","pages":"1905 - 1916"},"PeriodicalIF":2.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-026-02338-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147727622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a process monitoring method for ultrasonic metal welding of automotive wires based only on machine sensor data 基于机器传感器数据的汽车线材超声金属焊接过程监测方法的研究

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-27 DOI: 10.1007/s40194-026-02346-w

Andreas Gester, Anja Tetzner, Guntram Wagner, Peter Gluchowski, Melanie Becker, Morten Deutsch, David Leoka

{"title":"Development of a process monitoring method for ultrasonic metal welding of automotive wires based only on machine sensor data","authors":"Andreas Gester, Anja Tetzner, Guntram Wagner, Peter Gluchowski, Melanie Becker, Morten Deutsch, David Leoka","doi":"10.1007/s40194-026-02346-w","DOIUrl":"10.1007/s40194-026-02346-w","url":null,"abstract":"<div><p>Ultrasonic metal welding (USMW) is increasingly employed for joining electrical conductors, especially in the context of lightweighting strategies that involve replacing copper with aluminum. This makes the technique highly relevant across sectors such as automotive and aerospace. However, USMW still suffers from limited process transparency. In current industrial practice, weld quality is primarily verified through selective destructive testing. As a result, it is feasible neither to inspect every joint nor to avoid false classifications, leading to both unnecessary rejects and undetected defective welds. This contribution presents a machine learning (ML)-based approach to enable real-time process monitoring using data directly obtained from the welding system. By leveraging signal characteristics captured during welding, the system not only distinguishes between “OK” and “NOK” welds but also enables a detailed categorization of defect types. In addition, a predictive model for pull-out force was integrated, allowing quantitative assessment of weld integrity without physical testing. Validation results show a classification accuracy of 99.9% and a mean absolute error for regression of 75 N, demonstrating the method’s potential to enhance process reliability while significantly reducing both scrap and test effort. The approach lays the groundwork for data-driven quality assurance in USMW and supports the implementation of robust inline monitoring.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"70 3","pages":"1123 - 1144"},"PeriodicalIF":2.5,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-026-02346-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147342609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CAD-Simulate-Print: a novel paradigm for additive manufacturing cad - simulation - print：增材制造的新范式

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-26 DOI: 10.1007/s40194-026-02347-9

Birendra Kumar Barik, Bhagyashree Nandkishor Arote, Amitava De

引用次数: 0

Experimental and numerical investigations on the mean stress effect on the fatigue of thin-walled tubular joints 薄壁管状节点平均应力对疲劳影响的实验与数值研究

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-26 DOI: 10.1007/s40194-025-02314-w

Maximilian Kling, Matthias Winkler, Sascha Knefelkamp, Andre Dürr, Klemens Rother

{"title":"Experimental and numerical investigations on the mean stress effect on the fatigue of thin-walled tubular joints","authors":"Maximilian Kling, Matthias Winkler, Sascha Knefelkamp, Andre Dürr, Klemens Rother","doi":"10.1007/s40194-025-02314-w","DOIUrl":"10.1007/s40194-025-02314-w","url":null,"abstract":"<div><p>Welded hollow section joints play a key role in lightweight automotive design, particularly in applications involving buses, trucks, and special-purpose vehicles. High-strength steels enable significant efficiency gains, especially when used in thin-walled constructions that fully exploit their load-bearing potential. In such applications, rectangular hollow section joints with a chord to brace ratio of 1 are widely used and exhibit favorable fatigue performance. However, accurately assessing the fatigue strength of these joints remains a challenge, particularly due to mean stress effects arising from service loads and welding-induced residual stresses. Current design codes address these effects inconsistently: the nominal stress approach often neglects them or provides conservative estimates, while the structural stress concept defined in ISO 14347 is not suitable for wall thicknesses below 4 mm. The effective notch stress approach, although more refined, assumes R-ratio-independent behavior for non-stress-relieved joints and does not differentiate between steel grades. To address these limitations, fatigue tests were conducted within the FOSTA P1603 research project at Munich University of Applied Sciences on X-joints under varying load ratios. The results were supplemented with numerical analyses to refine the assessment methods used in the nominal and the effective notch stress approach. This study contributes to a more accurate fatigue evaluation of thin-walled, high-strength steel joints and aims to extend the applicability of current design guidelines.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"70 5","pages":"1811 - 1829"},"PeriodicalIF":2.5,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-02314-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147727437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging thermal images for automatic surface defect detection in TIG welding process of thin metal sheets 利用热图像自动检测金属薄板TIG焊接过程中的表面缺陷

IF 2.5 4区材料科学

Welding in the World Pub Date : 2026-01-23 DOI: 10.1007/s40194-026-02340-2

Khushal Parmar, Alexander Biber, Mirco Olesch, Rahul Sharma, Uwe Reisgen

{"title":"Leveraging thermal images for automatic surface defect detection in TIG welding process of thin metal sheets","authors":"Khushal Parmar, Alexander Biber, Mirco Olesch, Rahul Sharma, Uwe Reisgen","doi":"10.1007/s40194-026-02340-2","DOIUrl":"10.1007/s40194-026-02340-2","url":null,"abstract":"<div><p>Surface defects are basically early indicators of welding quality that provide insights into potential issues in the welded joints. In arc welding, particularly for the fusion of thin metal sheets, weld defects such as cracks and burn-throughs occur quite often because the material and its thickness are prone to stresses caused by heat distortion and rapid cooling. Manual detection of welding defects through the different inspection methods is resource consuming. Automatic detection is, on the other hand, challenging due to the dynamic nature of the welding process and the subtle feature-based differences between acceptable and defective welds. To address this, a thermography camera is employed in this research to capture thermal variations during the welding process. The study uses thermographic imaging during the process of TIG welding and observes four different families of deep-learning detectors (YOLOv5, YOLOv8, YOLO11, and RT-DETR) across all size variants for each family. A singular thermal dataset was generated that represented the signs of burn-throughs, cracks, and burn spots, which were all consistently annotated without bias. Each model was trained and evaluated using precision, recall, mean average precision (mAP), and inference latency. YOLOv8 demonstrated comparable performance levels in the evaluation. YOLOv5 also performed robustly, but at a slower pace, RT-DETR had better feature extraction but also had the highest inference latency, and Yolo11 mistook and missed many small low-contrast defects. The results validate that thermography combined with modern deep-learning detectors is viable for automated detection and monitoring of weld quality.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"70 4","pages":"1487 - 1503"},"PeriodicalIF":2.5,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-026-02340-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147561004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0