{"title":"Welding consumable selection for 304B4 borated stainless steel","authors":"M. Divya, C. R. Das, M. Vasudevan","doi":"10.1007/s40194-025-02001-w","DOIUrl":"10.1007/s40194-025-02001-w","url":null,"abstract":"<div><p>304B4 borated stainless steel is used for neutron shielding in intermediate heat exchangers of Indian prototype fast breeder reactor. The weldability of this stainless steel is poor and there is no standard consumable available for welding this steel. In this study, weldability of 304B4 SS weld joint prepared using E308 is evaluated using the spot Varestraint test technique. The weldability of this consumable is compared with other consumables like E309 and boron-added E308BRN. E308 consumable shows lower total crack length (4.5 mm) and maximum crack length (1 mm) values as compared to E309 consumable while joining 304B4 SS after buttering. Mechanical properties of the weldments prepared using E308 and 304B4 filler wire were evaluated and compared with the properties of weldments prepared using E309 and E308BRN. E308 consumable shows higher tensile strength (541 MPa) than E309 weldment (420 MPa). Also, the impact toughness of 308 weld metal (117 J) is higher than E309 weld metal (55 J). Whereas, the 304B4 SS filler wire shows better tensile strength than E308 or E309 weld joints but poor weld metal impact toughness. The study gives a clear guidance for selecting appropriate consumable for welding borated stainless steels based on the final application of the fabricated component.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 10","pages":"3017 - 3030"},"PeriodicalIF":2.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-02001-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062175","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}
{"title":"A suitable equivalent heat source for the transient simulation of thick FSW joining","authors":"Rodrigue Urvoy, Eric Feulvarch","doi":"10.1007/s40194-025-02000-x","DOIUrl":"10.1007/s40194-025-02000-x","url":null,"abstract":"<div><p>The main objective of this paper is to propose a suitable equivalent heat source that allows simulating transient FSW welding of thick structures with commercial finite element codes. At first, a fully coupled thermo-fluid model is developed by using the Rigid-ALE formalism in the case of a but joint of 20 mm thick. This quasi-stationary model is calibrated from experimental measurements in terms of Taylor-Quinney coefficient and heat exchange with the backing plate. This identification is carried out by means of an optimization algorithm with Python programming language. From these numerical results, different shapes of equivalent heat source are investigated for simulating the thermal field without accounting for the material stirring. To the authors’ knowledge, such a modeling strategy has never been reported before in the literature, especially for thick joints. Based on these results, a suitable version of the heat source proposed by Goldak et al. (Metall Trans B 15:299–305, 1984) is proposed. It is shown that the new heat source has the ability to model very satisfactory the thermal gradient in the thickness of the joint during welding.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 7","pages":"2051 - 2062"},"PeriodicalIF":2.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junyang Ye, Xianfen Li, Siyuan Li, Ruize Jiang, Peng Hua, Dashuang Liu
{"title":"Microstructure and mechanical properties of diffusion bonding joints of 42CrMo steel and tin bronze with nickel interlayer","authors":"Junyang Ye, Xianfen Li, Siyuan Li, Ruize Jiang, Peng Hua, Dashuang Liu","doi":"10.1007/s40194-025-02005-6","DOIUrl":"10.1007/s40194-025-02005-6","url":null,"abstract":"<div><p>Diffusion bonding technology was used to realize the connection of 42CrMo steel and tin bronze, and the effects of bonding time and nickel interlayer on the microstructure and mechanical properties of the joint were studied. The results show that: When 42CrMo steel and tin bronze are directly diffusion bonded, at 850 ℃ and 4 MPa, the shear strength of joint first increases and then decreases with the increase of bonding time. When the bonding time is 60 min, the thickness of the diffusion layer is about 0.5 μm, the shear strength of the joint reaches a maximum of 152 MPa, and the fracture shows mixed fracture characteristics of brittleness and ductile. After adopting Ni foil as the interlayer metal, both 42CrMo steel/Ni and Ni/tin bronze interfaces formed obvious diffusion layers of about 11 μm and 50 μm, respectively, a granular discontinuous distribution of (Cu,Ni)<sub>3</sub>Sn formed on the Ni/tin bronze side, the shear strength of the joints is elevated up to 221 MPa, and the fracture is characterized by ductile fracture.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 7","pages":"2063 - 2074"},"PeriodicalIF":2.5,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiscale fatigue assessment of wire arc additively manufactured aluminium alloys with experimental and simulation approach","authors":"Mahdieh Safyari, Masoud Moshtaghi","doi":"10.1007/s40194-025-01996-6","DOIUrl":"10.1007/s40194-025-01996-6","url":null,"abstract":"<div><p>This study investigates the fatigue behaviour of wire arc additively manufactured (WAAM) aluminium alloys, emphasizing the role of pore in fatigue life assessment. Using a multiscale experimental and simulation approach, it was found that fatigue life is highly sensitive to pore size, with larger pores significantly reducing durability. However, an ultra-fine and uniform pore distribution was observed to enhance fatigue resistance despite increased porosity levels. X-ray synchrotron micro-computed tomography (micro-CT) revealed that WAAM specimens contained a higher number of micropores compared to cold-rolled counterparts, with a 3-µm average pore diameter. Fatigue life is sensitive to pore size; however, ultra-fine distribution of pores can generate a favourable fatigue life, irrespective of the number of pores. Residual tensile stresses were identified as a key factor reducing fatigue strength, while material grain refinement contributed to an improved fatigue notch factor (<i>K</i><sub>f</sub> approaching unity). The study further demonstrated that fatigue strength decreases with increasing pore size, in accordance with fracture mechanics principles. The S–N curve estimation, incorporating the fatigue notch factor, successfully predicted the fatigue life of WAAM components, validating the applicability of this method. Given the variability in WAAM microstructure, defect-free fatigue strength should be reassessed whenever process parameters change. These findings highlight the need for standardized S–N curves for additively manufactured metals and emphasize the importance of high-resolution defect characterization in fatigue assessment. The insights gained will aid in optimizing WAAM process parameters to enhance structural reliability in aerospace, automotive, and maritime applications.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 8","pages":"2269 - 2278"},"PeriodicalIF":2.5,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-01996-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161966","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}
{"title":"Deformable convolutional autoencoder-based feature selection and recognition for acoustic emission monitoring in laser shock peening","authors":"Rui Qin, Zhifen Zhang, Jing Huang, Yu Su, Guangrui Wen, Weifeng He, Xuefeng Chen","doi":"10.1007/s40194-025-01978-8","DOIUrl":"10.1007/s40194-025-01978-8","url":null,"abstract":"<div><p>Laser shock peening (LSP) monitoring based on acoustic emission (AE) technology not only needs to achieve the desired monitoring accuracy, but also faces the challenges posed by the transmission and storage of high-dimensional time-series data. Existing methods mainly consider the former singularly while ignoring the latter. To address this issue, this study proposes an autoencoder-based data feature selection and a decision tree–based data feature identification method for the task of real-time LSP-AE monitoring. Specifically, the autoencoder takes deformable convolution as the core unit, which can fully consider the global and local features in the time-varying AE signals, and guide the model to obtain more valuable feature vectors through offset calculation. The decision tree model can process the encoded features efficiently and accurately, which in turn enables real-time monitoring of the laser processing quality. The encoding of high-dimensional AE signals facilitates efficient data storage, and the encoded features are more portable and operable. The feasibility and reliability of the proposed method are verified based on LSP experiments. Compared with other methods, the proposed method can simultaneously meet the requirements of monitoring accuracy and data storage by encoding the original signal. Specifically, the original time series signal with dimension 4050 is reduced to 128 dimensions and has an optimal recognition accuracy of 98.76%.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1241 - 1254"},"PeriodicalIF":2.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Depositing Al–Zn–Mg–Cu alloy with different positive electrode/negative electrode ratios of CMT advance process","authors":"Xiangyang Wu, Shanqing Xu, Ji Chen, Chuansong Wu","doi":"10.1007/s40194-025-01998-4","DOIUrl":"10.1007/s40194-025-01998-4","url":null,"abstract":"<div><p>To explore the influence of electrode positive/electrode negative (EP/EN) ratio on the CMT advance-based wire arc additive manufacturing (WAAM) process for Al–Zn–Mg–Cu alloy, the behaviors of the deposition process, the microstructure and mechanical properties of Al–Zn–Mg–Cu alloy WAAM are studied. The results showed that electrical waveforms and arc/metal transfer were unstable with a low EP/EN ratio, which deteriorated the stability of WAAM. The forming accuracy of deposited samples firstly increased with the EP/EN ratio ranging from 4:16 to 13:7 and then decreased if the EP/EN ratio continued increasing. In the inter-layer region, the samples showed a combination of columnar grains and pony-size equiaxed grains with an EP/EN ratio ranging from 4:16 to 10:10, while the size and quantity of equiaxed grains increased and the columnar grains almost disappeared with a higher EP/EN ratio (≥ 13:7). The enriched alloy elements in the grain boundary were easy to form large-scale precipitated phases, which were harmful to the mechanical properties. The microhardness distribution of all samples had the apparent fluctuation along the building direction due to the existence of the microstructure evolution and pores defect. This study proved that the CMT advance process was a practicable and effective way for improving the performances of Al–Zn–Mg–Cu WAAM components with optimal EP/EN ratio.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 6","pages":"1469 - 1480"},"PeriodicalIF":2.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kalle Lipiäinen, Antti Ahola, Hannu Lund, Sakari Penttilä, Nima Razavi, Tuomas Skriko, Jonas Hensel, Masoud Moshtaghi, Timo Björk
{"title":"Fatigue strength assessment of additively manufactured component considering local quality","authors":"Kalle Lipiäinen, Antti Ahola, Hannu Lund, Sakari Penttilä, Nima Razavi, Tuomas Skriko, Jonas Hensel, Masoud Moshtaghi, Timo Björk","doi":"10.1007/s40194-025-02002-9","DOIUrl":"10.1007/s40194-025-02002-9","url":null,"abstract":"<div><p>Direct energy deposition with wire and arc system (DED-Arc) is a form of additive manufacturing (AM), which is particularly advantageous for producing large-scale components. Surface waviness and local imperfections are typical in as-built DED-Arc components. In this study, literature data regarding fatigue performance of additive manufactured materials is gathered, and experimental tests for DED-Arc specimens are conducted to characterize typical features and relation between local quality and fatigue performance. Finite element modelling is used to evaluate local stresses, followed by obtaining effective stresses via theory of critical distances (TCD) approach. The findings are compared to literature data to evaluate fatigue strength assessment methods. The results indicated that quality-based modelling enables fatigue strength assessment with a reduced number of SN curves in comparison to the nominal stress method.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 8","pages":"2279 - 2291"},"PeriodicalIF":2.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-02002-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162217","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}
Yuanming Zhao, Keheng Pu, Guanhong Liu, Pu Zhao, Zhengwei Li, Zhiwu Xu, Jiuchun Yan
{"title":"High-strength heterostructure joint of 6063Al alloys manufactured by ultrasonic-assisted TLP bonding using an Zn/Mg/Zn composite interlayer","authors":"Yuanming Zhao, Keheng Pu, Guanhong Liu, Pu Zhao, Zhengwei Li, Zhiwu Xu, Jiuchun Yan","doi":"10.1007/s40194-025-01997-5","DOIUrl":"10.1007/s40194-025-01997-5","url":null,"abstract":"<div><p>As the most advanced development of low-temperature and high-strength diffusion bonding of Al alloys, the lowest joining temperature of ultrasonic-assisted transient liquid phase (U-TLP) bonding of Al alloys can only be limited to 390 °C using Zn interlayer. Further reduction of bonding temperature is an urgent need to avoid strength loss of base metal. In this work, U-TLP bonding of 6063Al alloy only required 350 °C, which was achieved in the air by a newly designed composite interlayer of Zn/Mg/Zn. The surface oxide films on metals were broken by the cavitation effect of ultrasonic in Mg-Zn eutectic liquid phase. The joint composition undergone a transition from MgZn<sub>2</sub> + η-Zn to MgZn<sub>2</sub> + η-Zn + Zn-Al eutectoid to MgZn<sub>2</sub> + Zn-Al eutectoid. Final joint of MgZn<sub>2</sub> + Zn-Al eutectoid with a strength coefficient of 100% was obtained only required an ultrasonic vibration of 180 s. The initial joint was a brittle structure composed by the MgZn<sub>2</sub> and the η-Zn phases, and it finally transformed to a reinforced structure with a network shape of the Zn-Al eutectoid-coated dispersed MgZn<sub>2</sub> particles. The joint was strengthened due to the Zn-Al eutectoid phase and MgZn<sub>2</sub> hard particles with differences in hardness based on the heterogeneous deformation strengthening theory.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 6","pages":"1721 - 1732"},"PeriodicalIF":2.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jan Schubnell, Sascha Fliegener, Johannes Rosenberger, Sascha Feth, Moritz Braun, Marten Beiler, Jörg Baumgartner
{"title":"Data-driven fatigue assessment of welded steel joints based on transfer learning","authors":"Jan Schubnell, Sascha Fliegener, Johannes Rosenberger, Sascha Feth, Moritz Braun, Marten Beiler, Jörg Baumgartner","doi":"10.1007/s40194-025-01967-x","DOIUrl":"10.1007/s40194-025-01967-x","url":null,"abstract":"<div><p>Data-driven or machine learning (ML) approaches already achieved significant success in many engineering areas even fatigue assessment of industrial parts and structures. Machine learning approaches work well under the common assumption that the training data covers the relevant feature space of the application. Rebuilding new models or establish new databases for similar feature spaces needs a high effort. In such cases, knowledge transfer or transfer learning can be used. In this study, transfer learning approach is used to determine the fatigue life of welded steel joints (target task) with a ML-algorithm that is trained in non-welded steel specimen. Twenty-two fatigue test data series were used. The results of the transfer learning approach were compared with a conventional machine learning approach that was trained also on data of welded joints. Furthermore, the results were compared to an advanced analytical approach (IBESS) for the fracture mechanic-based fatigue life assessment of welded joints and fatigue strength values from recommendations.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 8","pages":"2223 - 2238"},"PeriodicalIF":2.5,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-01967-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169895","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}
{"title":"Identifying anomalous welding in the bud: A forecasting approach","authors":"Rundong Lu, Ming Lou, Yujun Xia, Yongbing Li","doi":"10.1007/s40194-025-01994-8","DOIUrl":"10.1007/s40194-025-01994-8","url":null,"abstract":"<div><p>To forecast anomalous welding processes, we propose a novel two-stage framework that integrates generative models and adversarial learning techniques for predicting anomalies in molten pool behavior. In the first stage, the goal is to generate molten pool videos (MPVs) for future welding operations by sequentially predicting molten pool frames under consistent welding parameters. The second stage uses one-class classification on the generated molten pool images to detect anomalies. This is done by maximizing the discrepancy between outliers (anomalies) and inliers (normal behavior) while minimizing the variation within the inliers. By leveraging the generative error introduced by spatiotemporal prediction, the framework enhances the separability between normal inliers and anomalous outliers. The proposed framework was evaluated by identifying anomalies in a variety of weld seams. Our results demonstrate that the framework successfully forecasts welding anomalies on real-world MPV datasets, highlighting its potential for practical applications in defect detection and process control.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1335 - 1347"},"PeriodicalIF":2.4,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}