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Quality assurance of clinched joints using explainable machine learning 使用可解释的机器学习来保证固定关节的质量
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2025-12-17 DOI: 10.1016/j.jajp.2025.100368
Johannes Gerritzen , Kunal Chopra , Gregor Reschke , Andreas Hornig , Alexander Brosius , Maik Gude
Quality assurance (QA) of clinched joints is predominantly performed by destructive testing. Recently, non-destructive evaluation (NDE) methods received increasing attention as a potential alternative. However, the inherently indirect measurement of underlying effects poses a significant challenge to its broader application. To tackle this, two experimental data sets, containing a total of 43 potential process deviations and defects are established using transient dynamic analysis (TDA). On these, several machine learning (ML) models are trained to detect the underlying deviations. The best-in-class model is used to identify a frequency band at which a classification accuracy of 88.58% across all 43 classes is achieved. Further analysis of the most discriminative model features reveals the importance of measuring both excitation as well as specimen response. This lays the foundation for further research towards defect specific in-line measurements of mechanical joints, further improving joint reliability.
紧固接头的质量保证(QA)主要是通过破坏性检测来完成的。近年来,无损评价(NDE)方法作为一种潜在的替代方法受到越来越多的关注。然而,对潜在影响的固有间接测量对其更广泛的应用构成了重大挑战。为了解决这个问题,使用瞬态动态分析(TDA)建立了两个实验数据集,其中包含总共43个潜在的工艺偏差和缺陷。在这些基础上,训练几个机器学习(ML)模型来检测潜在的偏差。使用同类最佳模型来确定一个频带,在该频带上,所有43个类别的分类准确率达到88.58%。进一步分析最具判别性的模型特征,揭示了同时测量激励和试样响应的重要性。这为进一步研究针对机械接头缺陷的在线测量奠定了基础,进一步提高了接头的可靠性。
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引用次数: 0
Bridgeability of large gaps in EN AW-6063 aluminium alloy by wire-based friction stir welding with a multi-pin tool EN AW-6063铝合金丝基搅拌摩擦多针刀焊接大间隙的桥接性
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jajp.2026.100379
Stefan Donaubauer, Raphael Schmid, Stefan Weihe, Martin Werz
Manufacturing deviations, assembly inaccuracies, and tolerances can create joint gaps that challenge conventional friction stir welding (FSW), which typically requires a tight fit-up to avoid issues such as tunnel defects, surface grooves, or insufficient bonding. In this study, a wire-based friction stir welding (W-FSW) approach using a stationary-shoulder multi-pin tool with an integrated extrusion-screw pin is presented to continuously feed EN AW-6063 aluminium filler wire into the joint. The filler wire is mechanically segmented, pre-plasticised within the tool, and intensively stirred into the substrate, enabling effective gap filling and a uniform material distribution in the weld zone. Gap widths of up to 4 mm, corresponding to 200% of the base material thickness, were successfully bridged, representing an extreme gap condition for thin-sheet aluminium joining, resulting in fully filled joints with a smooth and well-consolidated weld surface across all investigated gap widths. No weld undercuts or surface-related imperfections were observed. Electron backscatter diffraction (EBSD) analysis revealed a refined and stable microstructure. The weld nugget consistently exhibited grain sizes of 12–15 μm, independent of gap width, while the thermo-mechanically affected zone and heat-affected zone remained nearly constant at 29–30 μm (base material: 32 μm). Tensile testing yielded an average ultimate tensile strength of 155 MPa with ductility comparable to reference joints, with fracture consistently occurring in the heat-affected zone, indicating stable mechanical performance despite the large joint gaps. Overall, the results demonstrate that multi-pin W-FSW provides a gap-tolerant and robust solid-state joining approach, significantly extending the practical application range of friction stir welding for EN AW-6063.
制造偏差、装配不精确和公差可能会造成连接间隙,这对传统的搅拌摩擦焊(FSW)构成挑战,传统的搅拌摩擦焊通常需要紧密配合,以避免隧道缺陷、表面凹槽或粘合不足等问题。在这项研究中,提出了一种基于丝的搅拌摩擦焊接(W-FSW)方法,该方法使用带有集成挤压螺钉销的固定肩多销工具,连续地将EN AW-6063铝填充丝送入接头。填充焊丝被机械分段,在工具内预塑化,并强烈搅拌到基材中,从而实现有效的间隙填充和焊接区域均匀的材料分布。缺口宽度达4毫米,相当于基材厚度的200%,成功地桥接了,这代表了薄板铝连接的极端缺口条件,导致接缝完全填充,所有研究的缺口宽度都具有光滑和良好的焊接表面。没有观察到焊接凹痕或表面缺陷。电子背散射衍射(EBSD)分析显示其微结构精细稳定。焊缝熔核的晶粒尺寸始终保持在12 ~ 15 μm,与间隙宽度无关,而热机械影响区和热影响区基本保持在29 ~ 30 μm(基材为32 μm)。拉伸测试结果显示,该接头的平均极限抗拉强度为155 MPa,延性与参考接头相当,在热影响区持续发生断裂,表明尽管接头间隙很大,但力学性能稳定。总体而言,结果表明,多针W-FSW提供了一种耐间隙且坚固的固态连接方法,显著扩展了EN AW-6063搅拌摩擦焊接的实际应用范围。
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引用次数: 0
Factory simulation of adhesive bonding processes considering pot-life-induced waste 工厂模拟胶粘剂粘合过程,考虑罐寿命引起的浪费
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-01-09 DOI: 10.1016/j.jajp.2026.100375
V Ginster , A Weigert , MK Heym , CJA Beier , A Schiebahn , S Galka
The simulation of production systems in the planning phase is an established tool for evaluating system performance under dynamic conditions (Da Silva et al., 2018). When planning a production system that includes time-critical processes such as adhesive bonding, exceeding time constraints (e.g., excessive lead times relative to the adhesive pot-life) can lead to product rejection and scrap. These risks should be analyzed by means of simulation, as it enables the consideration of stochastic effects such as random machine breakdowns, which significantly influence product lead times.
This study focuses on the production of adhesively bonded electrolyzer-cells. Due to the cell design, several handling and stacking operations must be carried out between adhesive application and final joining, so that immediate joining is not feasible and pot-life-induced scrap becomes a critical risk factor. We therefore conducted an exploratory investigation that combines experimental pot-life characterization with discrete-event simulation of a planned electrolyzer-cell production system.
A two-component epoxy adhesive was characterized using differential scanning calorimetry with kinetic analysis, rotational rheometry, and 90° peel tests on application-representative joints. Based on these tests, an application-specific pot-life was derived and implemented as a time-dependent quality criterion in the discrete-event simulation model. A full-factorial simulation study with varied buffer size and mean time to repair at a station availability of 98 % was carried out. The results demonstrated a pronounced trade-off between throughput and pot-life-induced waste and identified a buffer capacity of one and short repair times as the most favorable configuration. Extending pot-life due to different processing temperatures substantially reduced scrap, highlighting the benefit of integrating curing kinetics and dynamic simulation in early-stage production system design for time-critical adhesive processes.
计划阶段的生产系统模拟是动态条件下评估系统性能的既定工具(Da Silva等人,2018)。当规划一个生产系统,包括时间关键的过程,如粘合剂粘合,超过时间限制(例如,相对于粘合剂罐寿命的过多的交货时间)可能导致产品报废和报废。这些风险应该通过模拟来分析,因为它可以考虑随机效应,如随机机器故障,这对产品的交货时间有很大的影响。本研究的重点是粘接电解槽的生产。由于电池的设计,在粘合剂应用和最终连接之间必须进行多次处理和堆叠操作,因此立即连接是不可实现的,并且罐寿命引起的废料成为一个关键的风险因素。因此,我们进行了一项探索性研究,将实验罐寿命特征与计划的电解槽生产系统的离散事件模拟相结合。采用差示扫描量热法、动力学分析、旋转流变学和90°剥离试验对一种双组分环氧胶粘剂进行了表征。在这些测试的基础上,导出了特定应用的油罐寿命,并在离散事件仿真模型中实现了与时间相关的质量准则。一个全因子模拟研究,在不同的缓冲大小和平均修理时间,站的可用性为98%。结果表明,在吞吐量和罐寿命引起的浪费之间存在明显的权衡,并确定缓冲容量为1,修复时间短是最有利的配置。由于不同的处理温度延长了锅的寿命,大大减少了废料,突出了在时间关键的粘合过程的早期生产系统设计中集成固化动力学和动态模拟的好处。
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引用次数: 0
Mechanical testing of battery electrodes by pull-off and peel tests: A comparative study 电池电极的机械测试,通过拉脱和剥离试验:比较研究
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.jajp.2026.100378
H. Gruhn , A. Rajic , T. Krueger , M. Mund , M.W. Kandula
In battery cell production, electrodes are manufactured by coating current collectors with an active‐material slurry. Upon drying, this forms a porous composite of active material, conductive additives, and binder. The mechanical integrity of this coating is critical for electrode quality and subsequent processability. To assess these properties, pull-off tests and peel tests are commonly employed. While frequently categorized as “adhesion tests,” this label can be misleading; the fracture surfaces in these porous composites are rarely purely adhesive, yet a critical analysis of the specific fracture patterns is often neglected.
This study evaluates and compares the qualitative fracture patterns and quantitative results of both methods. To assess the sensitivity of each test, electrode properties were systematically varied by altering electrode thickness, binder type, and applying different calendering parameters. Results indicate that pull-off tests yield significant scatter due to undefined, multiaxial stress distributions, leading to inhomogeneous fracture patterns. In contrast, peel tests demonstrate minimal scatter with well‐defined crack propagation in a single plane, allowing for the detection of slight deviations in mechanical properties. Notably, the two methods reveal diverging trends regarding the impact of electrode thickness and calendering. Consequently, data from these methods are strictly incommensurable due to their fundamental mechanical difference.
在电池生产中,电极是用活性材料浆料涂覆集流器制造的。干燥后,形成活性材料、导电添加剂和粘合剂的多孔复合材料。这种涂层的机械完整性对电极质量和随后的可加工性至关重要。为了评估这些特性,通常采用拉脱测试和剥离测试。虽然经常被归类为“附着力测试”,但这个标签可能会误导人;这些多孔复合材料的断裂表面很少是纯粘接的,但对特定断裂模式的关键分析往往被忽视。本研究对两种方法的定性骨折模式和定量结果进行了评价和比较。为了评估每个测试的灵敏度,通过改变电极厚度、粘结剂类型和应用不同的压延参数,系统地改变了电极性能。结果表明,由于未定义的多轴应力分布,拉脱试验产生了显著的分散,导致裂缝模式不均匀。相比之下,剥离试验表明,在单个平面上,具有明确定义的裂纹扩展的最小散射,允许检测机械性能的轻微偏差。值得注意的是,这两种方法揭示了关于电极厚度和压延影响的不同趋势。因此,由于这些方法的基本力学差异,它们的数据是严格不可通约的。
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引用次数: 0
Use of expandable graphite as debonding on demand technology between glass fibre reinforced polyamide 6 and aluminium 使用可膨胀石墨作为玻璃纤维增强聚酰胺6与铝之间的按需剥离技术
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2025-12-23 DOI: 10.1016/j.jajp.2025.100369
Abdelghani Laachachi , Oussema Kachouri , Julian Berndt , Gregor Zucker , Camilo Zopp , Jens Bartelt , Ahmed Makradi
A heat triggered debonding-on-demand thermoset-based adhesive is developed to join the glass fiber reinforced thermoplastic polyamide-6 to aluminium alloy sheet. The hybrid composite interface debonding mechanism is heat triggered at the end-of-life of the hybrid composite toward recycling of its components. The debonding-on-demand adhesive joint consist of an ARALDITE® brittle thermoset variant functionalized with 10% Expandable Graphite. TGA analysis and shear lab test are conducted to evaluate the effect of the Expandable Graphite on the degradation and mechanical performances of the ARALDITE® resin. Once validated the developed debonding-on-demand solution is up-scaled to a U-shape part made on inverse hybrid laminates.
研制了一种热触发脱粘热固性粘接剂,用于玻璃纤维增强热塑性聚酰胺-6与铝合金板的粘接。杂化复合材料界面剥离机制是在杂化复合材料寿命结束时热触发的,以回收其组分。按需脱粘粘合剂接头由ARALDITE®脆性热固性变体组成,该变体具有10%可膨胀石墨的功能化。通过TGA分析和剪切实验,评价了可膨胀石墨对ARALDITE®树脂降解和力学性能的影响。一旦验证,开发的按需脱粘解决方案将扩展到在反向混合层压板上制造的u形部件。
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引用次数: 0
Laser-modified wire arc cladding 激光修饰电弧熔覆
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.jajp.2026.100381
Hana Šebestová , Jan Novotný , Jan Štěpán , Ondřej Ambrož , Zdeněk Joska , Jan Gross , Libor Mrňa
The deposition of functional cladding layers is a widely adopted technique to enhance the surface performance of engineering components without compromising their bulk material properties. Among the available techniques, wire arc cladding offers high productivity and is particularly effective for depositing relatively thick coatings. Thanks to its high hardness and reasonable toughness, Stellite 6 alloy is well-suited for wear-resistant claddings; however, its application through various welding processes is often accompanied by cracking. In this study, we propose and experimentally investigate a novel approach to wire arc cladding of this Co-based alloy that integrates localized in-situ heat treatment using a defocused oscillating laser beam. The laser-assisted process produced continuous and more uniform cladding layers. Compared to conventional wire arc cladding, the cooling rate decreased by 40 %, resulting in improved bead homogenization and fewer welding voids, while maintaining comparable microhardness after two passes. Enhanced bead fusion, facilitated by the laser, enabled very high deposition speed without compromising the structural integrity of the claddings.
功能熔覆层的沉积是一种广泛采用的技术,以提高工程部件的表面性能而不影响其整体材料性能。在现有的技术中,电弧包覆提供了高生产率,对于沉积相对较厚的涂层特别有效。由于其高硬度和合理的韧性,钨铬钴合金非常适合用于耐磨包层;然而,其在各种焊接工艺中的应用往往伴随着裂纹。在本研究中,我们提出并实验研究了一种利用离焦振荡激光束进行局部原位热处理的co基合金电弧熔覆的新方法。激光辅助工艺产生连续且更均匀的熔覆层。与传统的电弧包覆相比,冷却速度降低了40%,从而改善了焊头的均匀性,减少了焊接空洞,同时在两道次后保持了相当的显微硬度。在激光的促进下,增强的熔头融合可以实现非常高的沉积速度,而不会影响包层的结构完整性。
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引用次数: 0
Investigation of microstructural and mechanical properties of dissimilar WC–8 %Co/AISI 1006 steel joints brazed using tube, induction, and infrared furnaces 不同wc - 8% Co/AISI 1006钢钎焊接头的显微组织和力学性能研究
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2025-11-05 DOI: 10.1016/j.jajp.2025.100357
Amin Shafinejad Bejandi, Hamid Khorsand, Mehdi Moslemi, Ali Ostad Akbarian Azar
Integrating tungsten carbide (WC–8Co) with steel is a pivotal aspect of cutting tool manufacturing, as monolithic carbide tools are inherently brittle and cannot be fabricated as a single component. To enhance toughness and resistance to dynamic stresses, WC is brazed to steels with greater ductility. Given WC's high melting temperature, conventional welding methods are ineffective, making brazing one of the most suitable techniques for joining dissimilar materials. This study aimed to optimize the brazing process to minimize the loss of WC hardness, as a reduction in hardness compromises tool efficiency and lifespan. In this research, WC–8Co was brazed to AISI 1006 steel using a silver-based filler (BAg22) through tube, induction, and infrared furnaces at temperatures of 800 °C, 850 °C, and 900 °C under vacuum conditions, with induction powers set at 10 and 15 kW. The microstructural and mechanical properties were assessed using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), microhardness testing, and shear testing. The initial hardness of WC was measured at 2202 HV, with decreases of 1.8%, 10%, and 22% observed for the induction, infrared, and tube furnaces, respectively. The shear strength was highest for the induction furnace (294 MPa), followed by the infrared furnace (268 MPa) and the tube furnace (202 MPa). OM/SEM/EDS analyses revealed a silver- and copper-rich eutectic structure, while elevated temperatures enhanced filler wettability and diffusion, resulting in uniform, defect-free joints. These findings yield quantitative insights for optimizing the brazing of WC–steel joints, facilitating the manufacturing of high-performance cutting tools.
将碳化钨(WC-8Co)与钢结合是切削刀具制造的关键方面,因为整体碳化钨刀具本身就很脆,不能作为单一部件制造。为了提高韧性和抗动应力,WC被钎焊到具有更大延展性的钢上。由于WC的熔化温度高,传统的焊接方法是无效的,因此钎焊是连接异种材料的最合适的技术之一。本研究旨在优化钎焊工艺,以尽量减少WC硬度的损失,因为硬度的降低会影响工具的效率和寿命。在本研究中,采用银基填料(BAg22)将WC-8Co钎焊到AISI 1006钢上,在真空条件下,分别在800°C、850°C和900°C的感应炉、感应功率分别为10和15 kW。采用扫描电镜(SEM)、能谱仪(EDS)、显微硬度测试和剪切测试对材料的显微组织和力学性能进行了评估。在2202 HV时测得WC的初始硬度,感应炉、红外炉和管式炉分别下降1.8%、10%和22%。感应炉的抗剪强度最高(294 MPa),其次是红外炉(268 MPa)和管式炉(202 MPa)。OM/SEM/EDS分析揭示了富银和富铜的共晶结构,而高温增强了填料的润湿性和扩散,形成了均匀、无缺陷的接头。这些发现为优化wc -钢接头的钎焊提供了定量见解,促进了高性能切削工具的制造。
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引用次数: 0
Butt-joint welding process of PVC Profiles: Numerical modelling, experimental validation and insights into material behaviour and flow dynamics PVC型材的对接焊接过程:数值模拟、实验验证以及对材料行为和流动动力学的见解
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.jajp.2026.100374
Riccardo Panciroli , Daniele Chiappini , Roberto Palazzetti
Polyvinyl chloride (PVC) forming operations are typified by large deformations, free-surface condition, complex conjugate heat transfer, and intricate contact phenomena. This study focuses on numerical modelling of the forming process that occurs beneath the butt-joint welding of polymeric profiles to offer a comprehensive understanding of how process parameters and boundary conditions influence the final weld. Numerical simulations are based on arbitrary and coupled Lagrangian and Eulerian models, which incorporate viscoelasticity, heat transfer, external forces, and free-surface flow. Due to the extensive temperature range encountered during the process, during heating the material transitions from a linear elastic state to a low-viscosity fluid. Consequently, the model has been developed to simultaneously solve for both solid and free-surface fluid conditions, and PVC has been modelled as a temperature-dependent viscoelastic solid, exhibiting Newtonian-like fluid characteristics under high temperatures. The proposed numerical solution methodology is employed to offer insights into the physics of the butt-welding process, widely utilised within industry. Two distinct configurations have been modelled to study material flow during the process: with and without a rigid constrain that prevents the material from moving freely upwards. These simulations aim to illuminate the impact of boundary conditions and physical constraints on the welding process and material behaviour.
聚氯乙烯(PVC)成型操作具有大变形、自由表面条件、复杂的共轭传热和复杂的接触现象等特点。本研究的重点是对聚合物型材对接焊接下的成形过程进行数值模拟,以全面了解工艺参数和边界条件如何影响最终焊缝。数值模拟是基于任意和耦合拉格朗日和欧拉模型,其中包括粘弹性,传热,外力和自由表面流动。由于在加热过程中遇到的温度范围很广,在加热过程中材料从线性弹性状态转变为低粘度流体。因此,该模型可以同时求解固体和自由表面流体条件,并且PVC已被建模为温度依赖的粘弹性固体,在高温下表现出类似牛顿的流体特性。所提出的数值解决方法被用来提供对焊接过程的物理学的见解,广泛应用于工业中。模拟了两种不同的结构来研究过程中的材料流动:有和没有阻止材料自由向上移动的刚性约束。这些模拟旨在阐明边界条件和物理约束对焊接过程和材料行为的影响。
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引用次数: 0
Material-specific beam-plume interactions during deep-penetration laser welding of stainless steel, aluminum, and copper 不锈钢、铝和铜的深熔激光焊接过程中特定材料的光束-羽流相互作用
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2025-11-29 DOI: 10.1016/j.jajp.2025.100366
Johannes Wahl , Christian Frey , John Powell , Michael Haas , Simon Olschok , Uwe Reisgen , Christian Hagenlocher , Thomas Graf
During deep-penetration laser welding, a hot vapor plume is emitted from the keyhole which, on cooling, condenses into a particle cloud that surrounds the weld zone. This vapor plume and associated particle cloud interact with the incident laser beam through scattering, absorption, and phase front distortion, dynamically altering the beam caustic and potentially affecting weld quality. In this study, the mechanisms governing the beam-plume interaction are investigated by observation of the thermal emission and scattered laser light from the interaction zone during the welding of stainless steel, aluminum, and copper. For this analysis, a spectrometer and a high-speed camera equipped with optical filters were used. The results revealed significant material-specific differences in thermal emission and scattered laser light from the plume, indicating variations in absorption and scattering behavior and thus beam attenuation. Re-heating of plume material until evaporation took place for all three materials. Stainless steel exhibited the strongest thermal emission, while aluminum and copper showed significantly weaker emission. In contrast, the aluminum plume displayed the highest level of laser light scattering. This is attributed to the presence of liquid and solid particles rather than purely vaporized material, even close to the laser beam focus. Distinct interaction zones within the laser beam caustic were identified, each corresponding to specific aggregate states and characteristic laser-plume interactions. For stainless steel and copper, a zone forms close to the keyhole which is primarily composed of vaporized material. Beyond this there is a multi-phase zone containing both vapor and liquid or solid matter. Further from the keyhole, a particle zone with no detectable vapor appears as re-heating becomes insufficient for evaporation. In aluminum, no distinct vapor zone was detected. Instead, strong scattering near the keyhole indicates the presence of particles even at high laser intensities. Thus, only a multi-phase and a particle zone appear to form for aluminum under the welding parameters used.
在深熔激光焊接过程中,热蒸汽羽状物从锁孔中发射出来,冷却后凝结成围绕焊接区域的粒子云。这种蒸汽羽流和相关的粒子云通过散射、吸收和相位前畸变与入射激光束相互作用,动态地改变光束的腐蚀性,并可能影响焊接质量。本文通过对不锈钢、铝和铜焊接过程中相互作用区的热发射和散射激光的观测,探讨了控制光束-羽相互作用的机制。为了进行分析,使用了一台分光计和一台装有滤光片的高速摄像机。结果显示,来自羽流的热发射和散射激光具有显著的材料特异性差异,表明吸收和散射行为的变化,从而导致光束衰减。重新加热羽流材料,直到所有三种材料都发生蒸发。不锈钢的热发射最强,铝和铜的热发射明显弱。相比之下,铝羽显示出最高水平的激光散射。这是由于液体和固体颗粒的存在,而不是纯粹的汽化物质,甚至接近激光束焦点。在激光束焦散中确定了不同的相互作用区,每个相互作用区对应于特定的聚集态和特征激光-羽相互作用。对于不锈钢和铜,在锁眼附近形成一个主要由蒸发材料组成的区域。除此之外,还有一个多相区,其中既有蒸汽,也有液体或固体物质。在钥匙孔更远的地方,由于再加热不足以蒸发,出现了一个没有可检测到蒸汽的颗粒区。在铝中,没有检测到明显的蒸汽区。相反,锁孔附近的强散射表明即使在高激光强度下也存在粒子。因此,在所使用的焊接参数下,铝只形成多相和颗粒区。
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引用次数: 0
AI-based monitoring system for real-time defect detection in wire arc additive manufacturing 基于人工智能的电弧增材制造缺陷实时检测系统
IF 4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2025-12-26 DOI: 10.1016/j.jajp.2025.100371
J.E. Tapia Cabrera, F. Groschupp, F. Riegger, M.F. Zaeh
The high flexibility of additive manufacturing (AM) enables the repair of components with complex geometries, contributing to the sustainability of the economy by reducing waste and increasing product lifetime. Wire arc additive manufacturing (WAAM) is well-suited for repair due to the high deposition rates compared to other AM technologies. Moreover, the automation potential of WAAM offers a promising opportunity for increasing productivity. However, the automated repair presents new challenges for quality assurance. During the deposition of successive layers, defects, such as a lack of fusion between adjacent weld beads, may be concealed within the parts. Due to their impact on the mechanical properties, such discontinuities constitute non-conformities and require part rejection. Therefore, a real-time monitoring system is required to detect lack of fusion defects and to ensure the reliable performance of the repaired components. Weld pool imaging provides detailed insights into process anomalies. Nonetheless, the harsh welding environment degrades the data quality and requires advanced imaging algorithms to extract features for a reliable analysis. The artificial intelligence (AI) architecture “You Only Look Once” (YOLO) allows for a robust detection performance and real-time capability with its one-stage approach for object detection. In this work, a monitoring system using two sequentially coupled YOLO-based models was developed. First, a detection model identifies the lack of fusion defects within the weld pool images, producing bounding boxes around the detected areas. These bounding boxes are then used as an input for a segmentation model, which provides a more precise delineation of the defects within the identified regions. The models were evaluated on unseen data, achieving a recall of over 90 % while maintaining real-time capability. This result showed the high potential of AI-based monitoring systems for real-time defect detection in WAAM to ensure the quality of the repaired components.
增材制造(AM)的高灵活性使具有复杂几何形状的部件得以修复,通过减少浪费和延长产品寿命,为经济的可持续性做出贡献。由于与其他增材制造技术相比,电弧增材制造(WAAM)具有较高的沉积速率,因此非常适合修复。此外,WAAM的自动化潜力为提高生产力提供了一个有希望的机会。然而,自动化维修对质量保证提出了新的挑战。在连续层的沉积过程中,缺陷,如相邻焊珠之间缺乏熔合,可能隐藏在零件内部。由于它们对机械性能的影响,这种不连续性构成不合格,需要零件报废。因此,需要一个实时监测系统来检测融合缺陷的缺失,并保证被修复部件的可靠性能。焊接池成像提供了对工艺异常的详细见解。然而,恶劣的焊接环境会降低数据质量,需要先进的成像算法来提取特征以进行可靠的分析。人工智能(AI)架构“You Only Look Once”(YOLO)采用单阶段对象检测方法,具有强大的检测性能和实时能力。在这项工作中,开发了一个使用两个顺序耦合的基于yolo的模型的监测系统。首先,检测模型识别焊池图像中缺乏融合缺陷,在检测区域周围产生边界框。然后将这些边界框用作分割模型的输入,该模型提供了对已识别区域内缺陷的更精确的描述。这些模型在未见过的数据上进行了评估,在保持实时能力的同时,实现了超过90%的召回。这一结果显示了基于人工智能的监测系统在WAAM中用于实时缺陷检测以确保被修复部件的质量的巨大潜力。
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Journal of Advanced Joining Processes
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