Welding in the World最新文献_第3页

Editorial: Advances in intelligent welding manufacturing 社论：智能焊接制造的进展

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-21 DOI: 10.1007/s40194-025-01992-w

YuMing Zhang, Stephan Egerland, Zengxi Stephen Pan

引用次数: 0

Dissolving brittle phases in Ni-based filler metals by adding W 加入W溶解ni基填充金属中的脆性相

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-18 DOI: 10.1007/s40194-025-01981-z

K. Bobzin, H. Heinemann, M. Erck

{"title":"Dissolving brittle phases in Ni-based filler metals by adding W","authors":"K. Bobzin, H. Heinemann, M. Erck","doi":"10.1007/s40194-025-01981-z","DOIUrl":"10.1007/s40194-025-01981-z","url":null,"abstract":"<div><p>Brazing hot work steel is a popular method used in the production of casting tools. Usually, Ni-based alloy Ni 620 serves as the preferred filler metal. However, incorporating metalloids such as B and Si to lower the melting point can result in unwanted intermetallic phase formation within the joint. These phases can adversely affect the mechanical characteristics. Hence, it is vital to reduce intermetallic phase formation during brazing to maintain optimal mechanical properties. The research concentrates on W inoculation of Ni 620 to alter the microstructure of the joint. The alloys are produced via melt spinning, and their solidus and liquidus temperatures are investigated using DSC measurements. Next, X37CrMoV5-1 hot work steel samples are brazed in a vacuum furnace. The microstructure is then studied using SEM/EDS, and their hardness properties are evaluated using nanoindentation. Furthermore, their strength is analyzed in the shear test. Incorporating W into Ni 620 when brazing hot work steel alters the presence of brittle phases and hardness characteristics. Particularly, introducing W leads to a significant decrease in hardness, resulting in a more even distribution of hardness throughout the joining area. Using W to modify Ni 620 proves to be advantageous for improving hardness properties when brazing hot work steel.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 6","pages":"1697 - 1704"},"PeriodicalIF":2.4,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-01981-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925650","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

Effect of surface roughness on rotating fatigue strength of as-built AlSi10Mg produced by laser powder bed fusion 表面粗糙度对激光粉末床熔融法生产的坯料 AlSi10Mg 旋转疲劳强度的影响

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-18 DOI: 10.1007/s40194-025-01963-1

Andrea El Hassanin, Umberto Prisco

{"title":"Effect of surface roughness on rotating fatigue strength of as-built AlSi10Mg produced by laser powder bed fusion","authors":"Andrea El Hassanin, Umberto Prisco","doi":"10.1007/s40194-025-01963-1","DOIUrl":"10.1007/s40194-025-01963-1","url":null,"abstract":"<div><p>AlSi10Mg samples with as-built surfaces characterized by three levels of increasing roughness were fabricated varying the building orientation by laser powder bed fusion. In particular, the sample axis was oriented at 0<span>(^{circ })</span>, 90<span>(^{circ })</span>, and 45<span>(^{circ })</span> with respect to the building direction. It is demonstrated that roughness directly influences the fatigue performance of as-built samples, since cracks initiate at surface notches related to features produced by surface roughness. Rougher surfaces generate higher concentration stress and show lower cyclic properties. Then, the rotating fatigue strength of the samples is non-destructively estimated using Murakami’s square root area parameter model. The equivalent size of the defect was calculated from the roughness parameters <b><i>S</i></b><span>(_{text {z}})</span> and <b><i>R</i></b><span>(_{text {Sm}})</span>. The model gives a good correlation with the experimental data, and then it can be applied to evaluate the fatigue strength of as-built AlSi10Mg. These results are important for the reliable design in terms of fatigue strength of selective laser-melted AlSi10Mg components.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 4","pages":"1123 - 1133"},"PeriodicalIF":2.4,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581316","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}

引用次数: 0

Multiscale FE modeling of SLMed ASS316 L reinforced with nanoparticles during FSP: exploring the impact of particle volume fraction, shape, and type on mechanical strength 用纳米颗粒强化 SLMed ASS316 L 的多尺度 FE 建模：探索颗粒体积分数、形状和类型对机械强度的影响

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-17 DOI: 10.1007/s40194-025-01985-9

Ali Ebrahimpour, Morteza Omidi, Amir Mostafapour

{"title":"Multiscale FE modeling of SLMed ASS316 L reinforced with nanoparticles during FSP: exploring the impact of particle volume fraction, shape, and type on mechanical strength","authors":"Ali Ebrahimpour, Morteza Omidi, Amir Mostafapour","doi":"10.1007/s40194-025-01985-9","DOIUrl":"10.1007/s40194-025-01985-9","url":null,"abstract":"<div><p>This study investigates the effect of nanoparticle volume fraction, shape, and type on the strength of nanocomposites made of selective laser melted (SLM) austenitic stainless steel (AISI 316L) reinforced with nanoparticles during friction stir processing (FSP). Using the mean field homogenization (MFH) method with the Mori–Tanaka model, multiscale finite element simulations were conducted to predict the mechanical behavior of the composites. These simulations were validated through experimental tests, yielding consistent results, with tensile strength reaching 740 MPa for reinforced sample, compared to 670 MPa for unreinforced FSP-treated material. A systematic design of experiments (DOE) was implemented using response surface methodology (RSM), generating 15 sample configurations. The strength of these configurations was calculated via finite element modeling. Analysis of variance (ANOVA) was then performed to evaluate the direct and interaction effects of the parameters, identifying the volume fraction as the most critical factor, with significant contributions from particle shape and type. A mathematical model derived from the ANOVA results demonstrated strong predictive accuracy (<i>R</i><sup>2</sup> = 98.33%) and was validated against simulation data. This integrated framework underscores the potential of combining experimental and computational techniques for optimizing metal matrix nanocomposites in advanced engineering applications.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 4","pages":"1135 - 1147"},"PeriodicalIF":2.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40194-025-01985-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581199","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

Improving accuracy and precisely controlling molten pool of stepped filling wire–assisted DP-GTA-AM 提高了步进填充线辅助DP-GTA-AM的精度，精确控制熔池

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-17 DOI: 10.1007/s40194-025-01980-0

Gang Zhang, Jianbo Wang, Zhen Wen Zhu, Lu Peng Li, Yu Shi

{"title":"Improving accuracy and precisely controlling molten pool of stepped filling wire–assisted DP-GTA-AM","authors":"Gang Zhang, Jianbo Wang, Zhen Wen Zhu, Lu Peng Li, Yu Shi","doi":"10.1007/s40194-025-01980-0","DOIUrl":"10.1007/s40194-025-01980-0","url":null,"abstract":"<div><p>Conventional wire arc additive manufacturing (WAAM) possesses inherent attributes, including the robust coupling interaction between the arc-droplet and the weld pool, non-linear time-varying, and heat accumulation. These characteristics often lead to suboptimal deposition processes and morphologies. This paper introduced a novel double-pulsed gas tungsten arc welding additive manufacturing (DP-GTAW-AM) process, which utilized a stepped filling wire to achieve independent control of heat input and mass transfer during the WAAM process. The fundamental principle of the proposed process was illustrated, and the construction of the experimental system was detailed. A series of experiments was conducted to verify the decoupling of heat-mass transfer. Moreover, the droplet transfer behavior, molten pool variation, and morphological changes as deposition layers increase were analyzed utilizing visual images and mathematical modeling. The results indicate that a stable heat-mass transfer process is achieved, resulting in deposited layers with the desired accuracy. This demonstrates the feasibility of improving deposition accuracy in WAAM by controlling pulse parameters. This approach offers a promising method for precise control of deposition accuracy in industrial WAAM applications.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1255 - 1266"},"PeriodicalIF":2.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835643","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}

引用次数: 0

High-quality forming of laser DED components based on a multi-source sensing system 基于多源传感系统的激光 DED 组件的高质量成型

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-16 DOI: 10.1007/s40194-025-01937-3

Xu Li, Jiehao Shen, Kanghong Zhu, Huabin Chen

{"title":"High-quality forming of laser DED components based on a multi-source sensing system","authors":"Xu Li, Jiehao Shen, Kanghong Zhu, Huabin Chen","doi":"10.1007/s40194-025-01937-3","DOIUrl":"10.1007/s40194-025-01937-3","url":null,"abstract":"<div><p>Laser directed energy deposition (LDED) is an additive manufacturing technology that uses a laser as the energy source to create a liquid melt pool in the deposition area, which rapidly moves it, melting powder and depositing layers sequentially. Given that the LDED process involves intense energy exchange and complex physicochemical changes, the quality control of the formed parts and the repeatability of the process are common technical challenges for its large-scale application. This paper establishes an integrated in situ monitoring system for LDED, which can monitor the geometric characteristics of the liquid melt pool, temperature, and high-temperature strain on the side walls of the formed parts, through a temperature sensing unit, a visual sensing unit, and a strain unit based on digital image correlation algorithm. Based on the information obtained from multi-source sensing of the cladding process, we compared the stability and forming quality of the cladding process under different process parameter paths and identified a process path that yields more stable melt pool temperatures, reduced fluctuations in melt pool dimensions, and lower peak strains on the build sidewalls; the maximum strain eyy and exx were 23% and 20% lower; and the strain fluctuation range of eyy and exx was found to be 45.65% and 26.49% lower compared to components built before process optimization, thereby achieving high-quality construction manufacturing when building cladding components of the same size.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1207 - 1218"},"PeriodicalIF":2.4,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835691","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}

引用次数: 0

Surrogate model and machine learning approaches for thermal field reconstruction from weld pool contour: application to GTA welding 从焊池轮廓重建热场的代用模型和机器学习方法：应用于 GTA 焊接

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-15 DOI: 10.1007/s40194-025-01969-9

Zaid Boutaleb, Issam Bendaoud, Sébastien Rouquette, Fabien Soulié

{"title":"Surrogate model and machine learning approaches for thermal field reconstruction from weld pool contour: application to GTA welding","authors":"Zaid Boutaleb, Issam Bendaoud, Sébastien Rouquette, Fabien Soulié","doi":"10.1007/s40194-025-01969-9","DOIUrl":"10.1007/s40194-025-01969-9","url":null,"abstract":"<div><p>Thermal cycles in arc welding are crucial as they determine the metallurgy, residual stresses, and distortions of welded parts. Experimentally measuring the temperature everywhere in the welded parts is not possible. This can be achieved with a thermal simulation but finite element analysis requires long computational times, especially for large parts. This study aimed to predict the thermal field using a data-driven approach using numerical and experimental data. First, thermal modeling is defined and arc heating is described with an equivalent heat source. The numerical design of experiments was conducted by varying the heat source parameters. The weld pool contour is extracted from each simulation for building a numerical dataset. The numerical dataset is used for training a surrogate model. The surrogate model is used for estimating the heat source parameters from the weld pool contour using an optimization technique. Then, a K-nearest neighbors algorithm is used to predict the thermal field from the estimated heat source parameters. A significant reduction in computational time is obtained for predicting the thermal field from experimental weld pool contour. Numerical analysis showed that the predicted thermal field is fairly good in the solid than in the weld pool.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1291 - 1307"},"PeriodicalIF":2.4,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835698","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}

引用次数: 0

Monitoring process parameters and predicting rail steel welded joint microstructure and mechanical property of three-wire fusion nozzle electroslag welding 监测钢轨钢三线熔嘴电渣焊接工艺参数，预测焊接接头组织和力学性能

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-14 DOI: 10.1007/s40194-025-01962-2

Shengfu Yu, Yang Wang, Zhongyi Zhang

{"title":"Monitoring process parameters and predicting rail steel welded joint microstructure and mechanical property of three-wire fusion nozzle electroslag welding","authors":"Shengfu Yu, Yang Wang, Zhongyi Zhang","doi":"10.1007/s40194-025-01962-2","DOIUrl":"10.1007/s40194-025-01962-2","url":null,"abstract":"<div><p>This study explores the impact of an innovative three-wire fusion nozzle electroslag welding (FNESW) technique on the microstructural evolution and tensile properties of U75V pearlitic steel rail weld joints. An intelligent monitoring system was developed to systematically capture critical welding parameters, including current, voltage, cooling rate, and magnetic field intensity. Furthermore, a Back Propagation (BP) neural network model was designed and trained to predict the microstructural features and mechanical properties of the welded joints. The model exhibited robust predictive performance, effectively establishing the quantitative relationship between welding parameters and joint performance. Experimental validation corroborated the model’s reliability, with relative errors of key predictive indicators maintained below 15%. The findings provide a scientific basis for optimizing welding parameters and designing high-performance steel rail weld joints through the integration of machine learning techniques, offering new insights into the intelligent control of welding processes.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1229 - 1240"},"PeriodicalIF":2.4,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835533","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}

引用次数: 0

Intelligent monitoring and fuzzy control of MIG welding seam tracking based on passive visual sensing 基于被动视觉感知的MIG焊缝跟踪智能监测与模糊控制

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-13 DOI: 10.1007/s40194-025-01938-2

Ming Zhu, Qingsong Ma, Runji Lei, Jun Weng, Yu Shi

{"title":"Intelligent monitoring and fuzzy control of MIG welding seam tracking based on passive visual sensing","authors":"Ming Zhu, Qingsong Ma, Runji Lei, Jun Weng, Yu Shi","doi":"10.1007/s40194-025-01938-2","DOIUrl":"10.1007/s40194-025-01938-2","url":null,"abstract":"<div><p>To reduce the risk of personnel operation and further improve welding efficiency, weld seam tracking in MIG welding process arc has to be developed for automatic manufacturing. Weld seam tracking system mainly contains intelligent monitoring and fuzzy control. For monitoring part, an optical testing platform and a passive visual detecting device are established to analyze groove and arc position. Also, preprocessing workflow and adaptive enhancement algorithm are built to increase image gray values. Deep learning program is used to select and locate interest area to improve the accuracy of detection. The arc position calculation model is also proposed to extract geographic location. For control part, based on welder’s operation skills, fuzzy logic rules are programmed to control the arc position at the middle of gap. Also, control experiments are carried out and compared with manual adjustment. Results show that: (1) with preprocessing workflow and adaptive enhancement algorithm, the average gray value of the groove area and the arc area increased by 114% and 100%; (2) by using deep learning, the interest area contains information of groove shape and oscillating arc position and could be selected accurately, and the mAP index is as high as 99.27%; and (3) based on the preset deviation test, the pixel error of the alignment deviation detection is within 8 pixels. And with the alignment deviation, distance can be controlled between ± 0.5 mm.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1437 - 1445"},"PeriodicalIF":2.4,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835531","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}

引用次数: 0

Vision-driven adaptive welding solutions for the top three challenges in welding fabrication 视觉驱动的自适应焊接解决方案，解决焊接制造中的三大挑战

IF 2.4 4区材料科学

Welding in the World Pub Date : 2025-02-12 DOI: 10.1007/s40194-025-01968-w

Mahyar Asadi, Ahmad Ashoori, Mehrnoosh Afshar, Ali Sheikhshab, Todd Scheerer, Austin Kaspardlov, Soroush Bagheri, Sina Firouz, Soroush Karimzadeh

{"title":"Vision-driven adaptive welding solutions for the top three challenges in welding fabrication","authors":"Mahyar Asadi, Ahmad Ashoori, Mehrnoosh Afshar, Ali Sheikhshab, Todd Scheerer, Austin Kaspardlov, Soroush Bagheri, Sina Firouz, Soroush Karimzadeh","doi":"10.1007/s40194-025-01968-w","DOIUrl":"10.1007/s40194-025-01968-w","url":null,"abstract":"<div><p>With experience in more than over 100 robotic deployments in pipe prefabrication and a decade-long dedication to welding automation, we have pinpointed the key challenges, notably fit-up variation, tack adaptation, and live seam tracking. We engineered an innovative adaptive welding solution that integrates the perceptual and cognitive abilities of welders into articulated robots. This system dynamically responds to real-time welding scenarios, effectively tackling associated challenges. Unlike existing methods reliant on pre-scanning or laser readings before welding, our vision-based adaptive welding technology operates instantaneously, replicating the expertise of proficient human welders. The outcome is a consistent delivery of high-quality welds. Given the widespread advancement of AI, the heart of the adaptive welding system must skillfully manage diverse welding conditions, covering different joint preparations, types, positions, thicknesses, materials, and beyond. Addressing the necessity of training the AI core requires navigating through diverse practical challenges in deployments. Leveraging our expertise in deploying various methodologies, we ultimately provide an efficient solution for training the welding AI, primed for widespread deployment across high-mix low-volume applications. This solution incorporates a data tracing and monitoring platform across deployments, enhancing ERP (Enterprise Resource Planning) functionality, and providing insights into welding operations, historical performance analytics, and problem tracking with proactive improvements.</p></div>","PeriodicalId":809,"journal":{"name":"Welding in the World","volume":"69 5","pages":"1277 - 1289"},"PeriodicalIF":2.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835515","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}

引用次数: 0