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Rapid inference for penetration prediction of plasma arc welding using enhanced ShuffleNetV2 and FOS-ELM 使用增强型 ShuffleNetV2 和 FOS-ELM 对等离子弧焊的熔透预测进行快速推理
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-08-10 DOI: 10.1007/s40194-024-01818-1
Zhi Zeng, Yuancheng Yang, Junrui Yuan, Bojin Qi
<div><p>Vision sensing is commonly employed in monitoring the forming process of medium and thick plate in plasma arc welding (PAW). However, due to physical constraints, direct observation of the backside forming process is impractical. Therefore, the weld image on the workpiece’s topside is commonly used to assess weld penetration status. Previous research typically relied on regression and machine learning algorithms to establish this relationship, while recent studies have employed deep learning methods for higher prediction accuracy, but they are computationally demanding, limiting real-time applications in welding. This study aims to improve deep learning model prediction times during welding. We avoid recursive neural network (RNN), vision transformer (ViT), and other high-accuracy approaches with significant computational overhead, opting instead for convolutional neural networks (CNN) for better real-time performance. After comparing six classical CNNs, ShuffleNetV2 backbone was chosen to extract features for its fast computational speed and high prediction accuracy. Innovatively, online sequential extreme learning machine with a forgetting mechanism (FOS-ELM) was introduced to classify penetration status instead of traditional full-layer classification for its high accuracy and speed. Welding experiments on a genuine embedded system validate our approach, reaching a prediction accuracy exceeding 94% on a small dataset, with a prediction time of just 5 ms per welded frame, meeting industrial-grade applications. On the basis of the ShuffleNetV2 backbone and OS-ELM model, transfer learning is used to expedite prediction convergence, while the squeeze excitation (SE) module is employed to enhance accuracy without compromising speed. Moreover, the model’s alignment with skilled welders’ key observation points is visually verified by using gradient-weighted class activation mapping (Grad-CAM). Finally, the deployment of the model in ONNX format on an industrial PC demonstrates its suitability for real-world PAW operations. Vision sensing is crucial for monitoring plasma arc welding (PAW) of medium and thick plates. However, direct observation of the backside formation process is impractical due to certain physical constraints. Therefore, weld image analysis from the workpiece’s topside is commonly used to assess weld penetration. Previous studies relied on fitting and machine learning algorithms, but recent research has shifted towards deep learning for improved accuracy. However, deep learning methods are computationally intensive, limiting their real-time application in welding. This study aims to enhance deep learning model prediction speed during welding by avoiding computationally demanding approaches like recurrent neural networks (RNNs) and vision transformers (ViTs). Instead, we utilize convolutional neural network (CNN) backbones for improved real-time performance. After evaluating six classical CNNs, we selected the ShuffleNetV2 bac
在等离子弧焊(PAW)中,视觉传感通常用于监控中厚板的成形过程。然而,由于物理条件的限制,直接观察背面成形过程并不现实。因此,通常使用工件顶部的焊缝图像来评估焊缝熔透状态。以往的研究通常依靠回归和机器学习算法来建立这种关系,而最近的研究则采用了深度学习方法来提高预测精度,但这些方法对计算要求较高,限制了在焊接中的实时应用。本研究旨在提高深度学习模型在焊接过程中的预测时间。我们避免使用递归神经网络(RNN)、视觉变换器(ViT)和其他计算量巨大的高精度方法,而是选择了卷积神经网络(CNN),以获得更好的实时性能。在比较了六种经典的卷积神经网络之后,我们选择了 ShuffleNetV2 骨干网络来提取特征,因为它计算速度快,预测准确率高。创新性地引入了具有遗忘机制的在线连续极端学习机(FOS-ELM)来对渗透状态进行分类,而不是传统的全层分类,因为其准确率高且速度快。在真正的嵌入式系统上进行的焊接实验验证了我们的方法,在小型数据集上的预测准确率超过 94%,每焊接帧的预测时间仅为 5 毫秒,满足了工业级应用的要求。在 ShuffleNetV2 主干网和 OS-ELM 模型的基础上,利用迁移学习加快预测收敛,同时利用挤压激励(SE)模块在不影响速度的情况下提高准确性。此外,利用梯度加权类激活映射(Grad-CAM)直观地验证了模型与熟练焊工关键观察点的一致性。最后,在工业 PC 上部署 ONNX 格式的模型,证明了该模型适用于实际的 PAW 操作。视觉传感对于监控中厚板等离子弧焊(PAW)至关重要。然而,由于某些物理限制,直接观察背面成形过程是不切实际的。因此,通常使用工件顶部的焊接图像分析来评估焊缝熔透情况。以前的研究依赖于拟合和机器学习算法,但最近的研究已转向深度学习,以提高准确性。然而,深度学习方法计算密集,限制了其在焊接中的实时应用。本研究旨在提高深度学习模型在焊接过程中的预测速度,避免使用计算量大的方法,如递归神经网络(RNN)和视觉转换器(ViT)。相反,我们利用卷积神经网络(CNN)骨干来提高实时性能。在对六种经典卷积神经网络进行评估后,我们选择了计算速度快、准确率高的 ShuffleNetV2 骨干网,并引入了具有遗忘机制的在线连续极限学习机(FOS-ELM)进行分类,从而实现了高准确率和高速度。焊接实验验证了所提出的方法,在一个小型数据集上实现了 94% 以上的预测准确率,每个焊接帧的预测时间仅为 5 毫秒。使用 ShuffleNetV2 主干网和 OS-ELM 模型的迁移学习加快了预测的收敛速度。挤压激励(SE)模块在不影响速度的情况下提高了准确性。使用梯度加权类激活映射(Grad-CAM)进行的可视化验证了模型与熟练焊工观察结果的一致性。最后,在工业 PC 上部署 ONNX 格式的模型,证明了该模型适用于实际的 PAW 操作。
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引用次数: 0
Simulation of nonuniform heating induced by alternating-current rail flash butt welding at the end face 模拟交变电流钢轨端面闪光对接焊引起的不均匀加热
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-08-10 DOI: 10.1007/s40194-024-01821-6
Xiao Wang, Hui Chen, Zongtao Zhu, Meiqi Hao, Hongtao Tan, Yuhu Pei, Qibing Lv

Nonuniform temperature field upsetting is prone to oxide inclusions, and the temperature field of rail flash butt welding (FBW) is primarily formed because of the Joule heat generated by the end-face current. The current distribution at the end face largely determines the heat distribution; thus, the current distribution and heat production at the end face of an alternating-current (AC) FBW must be investigated. This study combined finite element simulation and experimental validation to establish an AC rail FBW electric–magnetic–thermal coupling model to explore the influence of current parameters, end-face temperature, and feed mode on the distribution of the end-face current. The results show that a reduction in the welding current, current frequency, and time in low- and medium-temperature stages can improve the uniformity of the temperature field. The electrode clamping method determines the shape of the temperature field, whereas the proposed hybrid clamping method is the most conducive to uniform heat generation at the end face. Moreover, electrode clamping at 210 mm near the end face yielded uniform temperature fields. The experimental validation results were consistent with the calculated results, indicating that the proposed model is reasonable and reliable. In practical welding operations, it is advisable to optimize current and frequency to achieve an end face temperature > 1000 °C swiftly. This study provides a direction for enhancing the uniformity of the temperature field and improving the expulsion capability of impurities during the upsetting process, thereby optimizing the flash butt welding process for rails.

不均匀的温度场镦粗容易产生氧化物夹杂,而轨道闪光对焊(FBW)的温度场主要是由端面电流产生的焦耳热形成的。端面的电流分布在很大程度上决定了热量分布;因此,必须研究交流 (AC) FBW 端面的电流分布和发热情况。本研究结合有限元仿真和实验验证,建立了交流轨道 FBW 电-磁-热耦合模型,以探讨电流参数、端面温度和进给模式对端面电流分布的影响。结果表明,降低低温和中温阶段的焊接电流、电流频率和时间可以改善温度场的均匀性。电极夹紧方法决定了温度场的形状,而所提出的混合夹紧方法最有利于端面均匀发热。此外,在端面附近 210 毫米处夹紧电极可产生均匀的温度场。实验验证结果与计算结果一致,表明所提出的模型合理可靠。在实际焊接操作中,最好优化电流和频率,以迅速达到端面温度 > 1000 °C。这项研究为提高镦粗过程中温度场的均匀性和杂质的排出能力提供了一个方向,从而优化了钢轨闪光对焊工艺。
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引用次数: 0
Electrode life evaluation for varied electrode material composition and geometry in resistance spot welding of aluminum alloys 铝合金电阻点焊中不同电极材料成分和几何形状的电极寿命评估
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-08-01 DOI: 10.1007/s40194-024-01816-3
Hong-geun Park, Deepak Kumar, Kwang-su Park, Ki Sung Nam, Yereum Kim, Young-Min Kim, Taeseon Lee

This study addresses the effects of alloying elements and radius curvature of the electrode on the degradation behavior during resistance spot welding (RSW) of A6451-T4. The importance of electrode characteristics is emphasised according to changes in hardness and electrical conductivity by electrode composition and radius curvature. The electrodes that were alloyed with Ag, Cr, and Be with varied radii were used in this study. The endurance limit of electrode was investigated by producing 100 welds with the optimised welding parameters. In addition to mechanical characterisation of the weld samples, comprehensive analyses of the electrode surfaces were carried out by carbon imprint, 3D digital microscope profiling, and electron microscopy. A computational analysis using the commercialised SORPAS software was also conducted to analyse heat generation according to the electrode characteristics. The results demonstrate that the electrode degradation proceeds by four discrete stages: aluminum pick-up and alloying, contact area increase, pitting, and cavitation. It was confirmed that load-bearing capacity and nugget diameter also change in proportion to the generated heat between the electrode and welded sheet. Among the physical properties of the electrode, the hardness and electrical conductivity most influence the electrode wearing behavior.

本研究探讨了合金元素和电极半径曲率对 A6451-T4 电阻点焊 (RSW) 过程中降解行为的影响。根据电极成分和半径曲率对硬度和电导率的影响,强调了电极特性的重要性。本研究使用了不同半径的 Ag、Cr 和 Be 合金电极。通过使用优化的焊接参数生产 100 个焊缝,对电极的耐久极限进行了研究。除了对焊接样品进行机械表征外,还通过碳印迹、三维数字显微镜剖面分析和电子显微镜对电极表面进行了全面分析。此外,还使用商业化的 SORPAS 软件进行了计算分析,以根据电极特性分析发热情况。结果表明,电极降解分为四个不连续的阶段:铝析出和合金化、接触面积增大、点蚀和空化。研究还证实,承载能力和金块直径的变化也与电极和焊接板之间产生的热量成正比。在电极的物理特性中,硬度和导电性对电极磨损行为的影响最大。
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引用次数: 0
Experimental investigation of process parameters of cold metal transfer welding-based wire arc additive manufacturing of aluminum 4047 alloy using response surface methodology 利用响应面方法对基于冷金属转移焊接的铝 4047 合金线弧增材制造工艺参数进行实验研究
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-31 DOI: 10.1007/s40194-024-01817-2
Rajendra Prasad, Narayan Yuvaraj,  Vipin, Archana Gopal

Proper parameter selection is crucial for obtaining the required shape of the beads and reducing defects like uneven welds, cracks, porosity, and irregularities while creating wire arc additive manufacturing (WAAM) samples. This study aims to investigate the impact of three input process parameters (current, welding speed, and gas flow rate) at three different levels on the properties (weld bead width, bead height, and dilution) of samples made from aluminum 4047 using the CMT-WAAM process. The study will analyze the data using response surface methodology (RSM). A central composite design (CCD) matrix was employed to develop a design of experiment incorporating three process factors. The appropriateness of the design was assessed by ANOVA analysis. The upper limits for the height and penetration of the weld bead were 2.83 mm and 3.12 mm, respectively. The lowest level of width measured was 9.44 mm. The forecasted ideal input parameters were a current of 150 A, a welding speed of 50 cm/min, and a shielding gas flow rate of 15 l/min. The findings demonstrated that the current exerted the most significant impact on determining the various responses, with welding speed and gas flow rate being the subsequent influential factors. The microstructures were analyzed using optical microscopy, revealing that the microstructure of the wall region comprised columnar and equiaxed grains. This study has considerable potential for manufacturing aluminum items utilizing a CMT-based arc welding technique.

Graphical Abstract

在创建线弧快速成型制造(WAAM)样品时,正确的参数选择对于获得所需的焊珠形状以及减少焊缝不均匀、裂纹、气孔和不规则等缺陷至关重要。本研究旨在调查三个不同水平的输入工艺参数(电流、焊接速度和气体流速)对使用 CMT-WAAM 工艺制造铝 4047 样品的性能(焊缝珠宽、珠高和稀释)的影响。研究将采用响应面方法 (RSM) 分析数据。采用中央复合设计 (CCD) 矩阵来制定包含三个工艺因素的实验设计。通过方差分析评估了设计的适当性。焊缝高度和熔透的上限分别为 2.83 毫米和 3.12 毫米。测得的最低宽度为 9.44 毫米。预测的理想输入参数为电流 150 A、焊接速度 50 cm/min、保护气体流量 15 l/min。研究结果表明,电流对各种反应的影响最大,其次是焊接速度和气体流量。使用光学显微镜对微观结构进行了分析,发现壁区的微观结构由柱状和等轴晶粒组成。这项研究对于利用基于 CMT 的电弧焊接技术制造铝制品具有相当大的潜力。 图文摘要
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引用次数: 0
Fatigue strength and fatigue crack initiation mechanism in non-combustible Mg-4%Al-1%Ca-0.2%Mn alloys and its TIG and MIG weld joints 不可燃 Mg-4%Al-1%Ca-0.2%Mn 合金及其 TIG 和 MIG 焊点的疲劳强度和疲劳裂纹起始机制
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-28 DOI: 10.1007/s40194-024-01813-6
Xuanyi Shao, Bui Phuong Thao, Taiki Nakata, Nan Zhang, Yukio Miyashita, Shigeharu Kamado

The fatigue mechanism of a Mg-4%Al-1%Ca (hereinafter referred to as AX41) non-combustible magnesium alloy and its TIG (tungsten inert gas) and MIG (metal inert gas) weld joint was investigated through the plane bending fatigue and crack propagation tests. Results of plane bending fatigue tests showed that fatigue strengths of TIG and MIG weld joints were lower than that of the base metal (BM), while a similar fatigue strength at 107 cycles was found in both TIG and MIG weld joints. However, a TIG weld joint showed the highest crack propagation resistance among tested samples in crack propagation tests. Scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD) analysis were used to investigate the relationship between microstructural factors and the crack initiation mechanism of AX41 alloy and its weld joint. Cracks were found to initiate from grains in BM, while weld defects became a crack initiation site in a MIG weld joint. However, both grains and weld defects were observed as a crack initiation site in a TIG weld joint. Results of EBSD analysis indicated that fatigue crack initiation in TIG weld joint was favored in large grains with high Schmid factors. The critical value of initial crack length was discussed in the correlation between the maximum grain size and the maximum weld defects/inclusions size on the fatigue crack initiation mechanisms. As a result, a prediction method of the fatigue strength at 107 cycles was proposed based on the hardness and weld defects/inclusions size.

通过平面弯曲疲劳和裂纹扩展试验,研究了Mg-4%Al-1%Ca(以下简称AX41)不燃镁合金及其TIG(钨惰性气体)和MIG(金属惰性气体)焊接接头的疲劳机理。平面弯曲疲劳试验结果表明,TIG和MIG焊接接头的疲劳强度低于母材(BM),而TIG和MIG焊接接头在107次循环时的疲劳强度相似。在裂纹扩展试验中,TIG焊接接头的抗裂纹扩展性能最高。采用扫描电镜(SEM)和电子背散射衍射(EBSD)分析了AX41合金及其焊缝裂纹萌生机制与显微组织因素的关系。发现裂纹是由BM中的晶粒引发的,而焊缝缺陷成为MIG焊接接头裂纹的起爆点。然而,在TIG焊接接头中,晶粒和焊缝缺陷都是裂纹起裂部位。EBSD分析结果表明,大晶粒、高施密德因子有利于TIG焊接接头疲劳裂纹的萌生。从最大晶粒尺寸与最大焊缝缺陷/夹杂物尺寸之间的关系出发,讨论了初始裂纹长度临界值对疲劳裂纹萌生机制的影响。提出了一种基于硬度和焊缝缺陷/夹杂物尺寸的107次循环疲劳强度预测方法。
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引用次数: 0
Microstructural analysis of flame-sprayed and PTA-deposited nickel-based self-fluxing alloy coatings 火焰喷镀和 PTA 沉积镍基自流变合金涂层的微观结构分析
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-24 DOI: 10.1007/s40194-024-01814-5
Ivan Vidaković, Katica Šimunović, Goran Heffer, Vedrana Špada

In this paper, the results of microstructural analyses, including optical microscopy, scanning electron microscopy with energy dispersive spectroscopy and X-ray diffraction analysis, of the Ni-based self-fluxing alloys NiCrBSi, NiCrBSi–WC, and NiBSi–WC deposited on a previously quenched and tempered (QT) steel substrate 42CrMo4 by flame spraying with simultaneous fusing and plasma transferred arc (PTA) process are presented. The aforementioned microstructural analysis was carried out to determine the microstructural characteristics of the investigated coatings, especially at the coating/substrate interface, and the influences of the spraying and welding technology on the steel substrate. The analysis revealed a change in the microstructure of the coating/substrate interface. Specifically, the diffusion characteristics of certain chemical elements (carbon and iron) from the coating to the substrate and from the substrate to the coating were observed. Additionally, the analysis established the existence of new phases within the coating that arose as a result of the aforementioned diffusion and reaction with chemical elements from the coating. The diffusion of chemical elements was most pronounced in the area of the coating/substrate interface, while it decreased away from this area.

本文介绍了通过火焰喷涂同时熔化和等离子传输弧(PTA)工艺在 42CrMo4 前淬火和回火(QT)钢基体上沉积的镍基自熔合金 NiCrBSi、NiCrBSi-WC 和 NiBSiWC 的微观结构分析结果,包括光学显微镜、扫描电子显微镜与能量色散光谱仪和 X 射线衍射分析。通过上述微观结构分析,确定了所研究涂层的微观结构特征,尤其是涂层/基体界面的微观结构特征,以及喷涂和焊接技术对钢基体的影响。分析表明涂层/基材界面的微观结构发生了变化。具体来说,观察到了某些化学元素(碳和铁)从涂层向基体以及从基体向涂层的扩散特性。此外,分析还确定了涂层中存在的新相,这些新相是上述扩散以及与涂层中的化学元素发生反应的结果。化学元素的扩散在涂层/基底界面区域最为明显,而在远离该区域的地方则有所减少。
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引用次数: 0
Optimization of process parameters for friction stir processing (FSP) of AA8090/boron carbide surface composites 优化 AA8090/碳化硼表面复合材料摩擦搅拌加工 (FSP) 的工艺参数
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-23 DOI: 10.1007/s40194-024-01811-8
Karthik Adiga, Mervin A. Herbert, Shrikantha S. Rao, Arun Kumar Shettigar

Friction Stir Processing (FSP) is an innovative and promising technique for microstructure refinement, material property enhancement, and surface composite production. The current study describes the fabrication of AA8090/boron carbide surface composites (SCs) by FSP. Experimental studies were conducted by varying the FSP parameters, specifically the rotational speed (800–1400 rpm), traverse speed (25–75 mm/min), and groove width (1–1.8 mm). Ultimate Tensile Strength (UTS), Surface Roughness (SR), and Percentage Elongation (El) were used as response measures. Experiments were planned based on the central composite design (CCD) of Response Surface Methodology (RSM) and a mathematical relationship between the input parameters and UTS, SR and El, and were obtained by RSM. The model adequacy was tested using analysis of variance (ANOVA). The models enabled the examination of individual and interaction effects of input parameters on the UTS, SR, and El of the produced SCs. AA8090/boron carbide SC strength was optimal of 366 MPa at 800 rpm, 75 mm/min, and 1.8 mm and optimal 21.13% elongation at 1400 rpm, 25 mm/min, and 1 mm. A smoother surface with 0.82-μm roughness was optimal at 1400 rpm, 25 mm/min, and 1.2 mm. The present study uses the FSP method to synthesize near-net-shaped SCs without further machining by systematically selecting process parameters. The study shows that the increase in rotational speed during AA8090/boron carbide SC fabrication produces composites with a good surface finish, lower UTS, and good ductility. However, the increase in the other two parameters, namely, traverse speed and groove width, produces low ductile composites with rougher surfaces and higher strengths.

Graphical abstract

摩擦搅拌加工(FSP)是一种创新且前景广阔的技术,可用于微观结构细化、材料性能提升和表面复合材料生产。本研究介绍了利用 FSP 制造 AA8090/碳化硼表面复合材料(SC)的情况。实验研究通过改变 FSP 参数进行,特别是转速(800-1400 rpm)、横移速度(25-75 mm/min)和沟槽宽度(1-1.8 mm)。极限拉伸强度 (UTS)、表面粗糙度 (SR) 和百分比伸长率 (El) 被用作响应测量指标。实验计划基于响应面方法学(RSM)的中心复合设计(CCD),输入参数与 UTS、SR 和 El 之间的数学关系由 RSM 得出。使用方差分析(ANOVA)检验了模型的适当性。通过这些模型,可以检验输入参数对所生产 SC 的 UTS、SR 和 El 的单独效应和交互效应。AA8090/ 碳化硼 SC 在 800 rpm、75 mm/min 和 1.8 mm 条件下的最佳强度为 366 MPa,在 1400 rpm、25 mm/min 和 1 mm 条件下的最佳伸长率为 21.13%。在 1400 转/分钟、25 毫米/分钟和 1.2 毫米的条件下,表面更光滑,粗糙度为 0.82-μm。本研究采用 FSP 方法,通过系统地选择工艺参数,在不进一步加工的情况下合成了近网状 SC。研究表明,在 AA8090/碳化硼 SC 制备过程中,提高转速可生产出表面光洁度好、UTS 较低和延展性好的复合材料。然而,提高另外两个参数,即横移速度和槽宽,则可生产出表面粗糙、强度较高的低延展性复合材料。
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引用次数: 0
Fatigue failure of aluminum alloy friction stir welded joints under two-stage variable amplitude loading 两阶段变幅加载下铝合金搅拌摩擦焊接接头的疲劳破坏
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-19 DOI: 10.1007/s40194-024-01809-2
Guo-Qin Sun, Zhen-Hao Fu, Shuai Yang, Xue-Zheng Wang, De-Guang Shang, Shu-Jun Chen

The fatigue failure rule of 7075-T651 aluminum alloy stir welded joint is studied under two-stage variable amplitude loading by fatigue experiments and finite element simulation. The results show that the friction stir welding (FSW) joints have different weak areas under different loading conditions. The fracture position of the FSW joint is related to the loading sequence of variable amplitude load and cycle number. The cycle number and crack length under the first-stage loading influence the fatigue life and fracture location of the FSW joints. When the cycle ratio of the first-stage loading is 70 ~ 80%, the fracture position of the corresponding specimen does not change. The simulation results show that the corresponding cycle ratios of critical damage under low–high load and high-low load are 77.8% and 74.4%, respectively, which are consistent with the experimental results. When the crack length is greater than 400 μm under low–high load, or when the crack length is greater than 500 μm under high-low load, the crack location does not change.

通过疲劳实验和有限元模拟,研究了 7075-T651 铝合金搅拌焊接接头在两阶段变幅加载条件下的疲劳破坏规律。结果表明,在不同的加载条件下,搅拌摩擦焊(FSW)接头具有不同的薄弱区域。FSW 接头的断裂位置与变幅载荷的加载顺序和循环次数有关。第一阶段加载的循环次数和裂纹长度会影响 FSW 接头的疲劳寿命和断裂位置。当第一级加载的循环比为 70% ~ 80% 时,相应试样的断裂位置不会发生变化。模拟结果表明,低-高载荷和高-低载荷下临界破坏的相应循环比分别为 77.8%和 74.4%,与实验结果一致。在低-高载荷下,当裂纹长度大于 400 μm 时,或在高-低载荷下,当裂纹长度大于 500 μm 时,裂纹位置不会发生变化。
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引用次数: 0
Quantifying the intensity of high-frequency mechanical impact treatment 量化高频机械冲击处理的强度
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-19 DOI: 10.1007/s40194-024-01812-7
Jan Schubnell, Takeshi Hanji, Kazuo Tateishi, Stefanos Gkatzogiannis, Thomas Ummenhofer, Majid Farajian

High-frequency mechanical impact (HFMI) is a user-friendly and efficient mechanical post-weld treatment method, and the achieved fatigue life improvement is statistically proved and is attributed to HFMI-induced compressive residual stresses amongst other effects. Several studies have shown in the past that the process parameters (treatment time and working speed) have an influence on the stress state introduced by the HFMI treatment. Thus far, however, only device-specific quantitative recommendation for the HFMI treatment exists based on the instructions of each HFMI device manufacturer. It is not clear if a certain treatment time for a given intensity leads to optimum results regarding the enhanced fatigue life and the treatment parameters of the several HFMI devices cannot be directly compared with each other. For these reasons, a universal and simple definition of the HFMI treatment’s intensity based on the kinetic energy of the HFMI pin was used to quantitatively correlate the HFMI-induced compressive residual stress with the HFMI-process parameters for two different HFMI devices: pneumatical impact treatment (PIT) and high-frequency impact treatment (HiFIT). To this purpose, data from former studies of HFMI-treated base material and welded specimens are revaluated. It is shown, that the compressive residual stresses show only slight changes after reaching a threshold value of the applied kinetic energy ((approx) 50 to 100 J/mm). This energy-based approach for the quantification of the treatment intensity was also used for a case study with PIT- and HiFIT-treated transverse stiffeners with different treatment intensities (2 J/mm and 7 J/mm). A high influence of the treatment intensity on the residual stress state was determined.

高频机械冲击(HFMI)是一种方便用户使用的高效焊后机械处理方法,其疲劳寿命的提高已得到统计证明,并归因于高频机械冲击引起的压缩残余应力以及其他效应。过去的一些研究表明,工艺参数(处理时间和工作速度)对 HFMI 处理引入的应力状态有影响。不过,到目前为止,只有根据每个高频金属模具制造商的说明提出的针对具体模具的高频金属模具处理定量建议。目前还不清楚特定强度下的特定处理时间是否能带来提高疲劳寿命的最佳结果,而且几种高频脉冲光束设备的处理参数也无法直接相互比较。基于这些原因,我们使用了一个基于高频金属撞击销动能的通用而简单的高频金属撞击处理强度定义,用于定量关联高频金属撞击引起的压缩残余应力和两种不同高频金属撞击装置的高频金属撞击处理过程参数:气动撞击处理(PIT)和高频撞击处理(HiFIT)。为此,我们重新评估了以前对经高频强化处理的母材和焊接试样的研究数据。研究表明,压缩残余应力在达到应用动能的临界值(50 到 100 焦耳/毫米)后仅会出现轻微变化。这种基于能量的处理强度量化方法也被用于对经过不同处理强度(2 J/mm 和 7 J/mm)的 PIT 和 HiFIT 处理的横向加强筋进行案例研究。结果表明,处理强度对残余应力状态的影响很大。
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引用次数: 0
Compensation of filler wire deflection in robotic gas metal arc welding processes 补偿机器人金属气弧焊接过程中的焊丝偏差
IF 2.4 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Pub Date : 2024-07-18 DOI: 10.1007/s40194-024-01810-9
Denys Molochkov, Ruslan Kulykovskyi

This paper examines the issue of wire deflection in wire and arc additive manufacturing (WAAM) and robotic welding, which leads to process instability and defects in printed geometry. The study focuses on the deflection of alloy 625, alloy 718, and 3Si1 welding wires during the deposition process. Measurements were taken to determine the relationship between wire deflection and the amount of wire used. Regression models were developed for each material to predict initial wire deflection and changes in deflection due to contact tip wear. The results showed that the deflection of alloy 625 and alloy 718 wires followed a nonlinear pattern for the first 500 m of wire, while the deflection of 3Si1 wire followed a nearly linear trend. The intensity of the contact tip wear is dependent on the normal contact load, which decreases as the wear increases. A generalized regression model of wire deflection was constructed based on the obtained regressions and the study of the wire’s deformed state. Based on these models, an algorithm was developed to correct the wire deflection by adjusting the tool center point coordinates. The effectiveness of the developed algorithm was verified in practice.

本文探讨了线弧快速成型制造(WAAM)和机器人焊接中的焊丝变形问题,该问题会导致工艺不稳定和打印几何形状的缺陷。研究重点是合金 625、合金 718 和 3Si1 焊丝在熔敷过程中的变形。通过测量来确定焊丝挠度与焊丝用量之间的关系。为每种材料建立了回归模型,以预测焊丝的初始挠度和因接触端磨损而导致的挠度变化。结果表明,合金 625 和合金 718 焊丝的挠度在焊丝的最初 500 米遵循非线性模式,而 3Si1 焊丝的挠度几乎呈线性趋势。接触尖端磨损的强度取决于正常接触载荷,随着磨损的增加,正常接触载荷会减小。根据获得的回归结果和对金属丝变形状态的研究,建立了金属丝挠度的广义回归模型。在这些模型的基础上,开发了一种算法,通过调整刀具中心点坐标来修正线偏差。所开发算法的有效性在实践中得到了验证。
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引用次数: 0
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Welding in the World
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