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Corrigendum to “Predictive maintenance in Industry 4.0: A systematic multi-sector mapping” [CIRP J Manuf Sci Technol (2024) 80-103]
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-12-01 DOI: 10.1016/j.cirpj.2024.10.013
Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
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引用次数: 0
Controlling shape, size, and surface roughness of aluminum cold plate fabricated via single-step sub-surface friction stir channeling for battery pack cooling 控制形状,尺寸和表面粗糙度的铝冷板通过单步亚表面摩擦搅拌通道制造的电池包冷却
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-11-29 DOI: 10.1016/j.cirpj.2024.11.007
Pooja Sarkar , Surjya Kanta Pal , Barbara Shollock , Anandaroop Bhattacharya
The Battery Thermal Management System rely heavily on cold plates. Manufacturing cost effective, highly productive cold plates having integrated channels is promising solution for thermal management. Friction Stir Channeling is a newly developed and promising manufacturing process for the formation of integrated functional channels on metal blocks for cold plate applications. This research presents the solution to control over channel surface roughness, catering to thermal management system requirements, and shows that it is achievable by manipulating factors like heat input, plasticization effect, and process pitch (v/ω). The study establishes the correlations between important channel features and secondary parameters like pseudo heat index (PHI), flow stress (σf), and changes in thermal history. Notably, the study highlights the pivotal role of channel roughness as a key determinant of corrosion initiation within the channel through an electrochemical corrosion test. Additionally, the FSC process is found to impart lower compressive residual stresses adding to the advantages of the process.
电池热管理系统严重依赖于冷板。制造成本效益高,生产效率高的冷板集成通道是热管理的有前途的解决方案。摩擦搅拌槽是一种新发展的、有前途的制造工艺,用于在冷板应用的金属块上形成综合功能通道。本研究提出了控制通道表面粗糙度的解决方案,以满足热管理系统的要求,并表明可以通过操纵热输入、塑化效果和工艺间距(v/ω)等因素来实现。研究建立了重要通道特征与伪热指数(PHI)、流动应力(σf)、热历史变化等次要参数之间的相关性。值得注意的是,该研究通过电化学腐蚀测试强调了通道粗糙度作为通道内腐蚀起始的关键决定因素的关键作用。此外,发现FSC工艺具有较低的压缩残余应力,增加了该工艺的优点。
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引用次数: 0
On the use of modal works of cutting forces to optimize machining conditions in the presence of vibrations 在振动存在的情况下,利用切削力模态功来优化加工条件
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-11-28 DOI: 10.1016/j.cirpj.2024.11.002
Marc Raffestin , Mikhaïl Guskov , Philippe Lorong , Cyrille Urville
The use of Virtual Machining models may be a valuable approach in the designing stage of a machining operation as long as the models are sufficiently accurate. When vibration risks are suspected, stability analysis approaches to predict regenerative chatter phenomena are generally used. However, although these approaches, when applicable, allow efficient numerical optimization of the process around an operating point, they often require other strong assumptions such as neglecting transient phenomena or oversimplifying kinematics. On the other hand, time domain approaches with detailed matter removal modelling allow to monitor the continuous evolution of cutting conditions and represent various phenomena that the models can reproduce (regenerative chatter, forced vibrations, non-linear behaviours). The amount of data produced is, however, considerable and often costly to analyse. It may therefore be interesting to deduce, from these data, scalar indicators allowing easier and more relevant analysis of the simulation results.
In this work, the modal work of the cutting forces upon the workpiece vibratory displacements is proposed as an indicator to discriminate different tool paths. A one degree of freedom theoretical problem and a face milling operation on extruded aluminum profiles extracted from automotive structural part are used to explain and show the relevance of such indicator.
只要模型足够精确,虚拟加工模型的使用在加工操作的设计阶段可能是一种有价值的方法。当怀疑存在振动风险时,通常采用稳定性分析方法来预测再生颤振现象。然而,尽管这些方法在适用的情况下,允许围绕一个操作点进行有效的数值优化,但它们通常需要其他强有力的假设,例如忽略瞬态现象或过度简化运动学。另一方面,具有详细物质去除模型的时域方法允许监测切削条件的持续演变,并表示模型可以再现的各种现象(再生颤振,强迫振动,非线性行为)。然而,产生的数据量是相当大的,而且往往是昂贵的分析。因此,从这些数据中推断出标量指标可能是有趣的,它允许更容易和更相关的模拟结果分析。在这项工作中,提出了切削力对工件振动位移的模态功作为区分不同刀具路径的指标。以一个单自由度理论问题和汽车结构件挤压铝型材的面铣加工为例,说明了该指标的相关性。
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引用次数: 0
Effect of resultant force direction in single point diamond turning of (111)CaF2 单点金刚石车削 (111)CaF2 时结果力方向的影响
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-11-27 DOI: 10.1016/j.cirpj.2024.11.001
M. Tunesi , B. Adam , K. Rickens , O. Riemer , D.A. Lucca
On-axis single point diamond turning experiments were performed on (111)CaF2 to investigate the effect of the resulting force system on the single crystal response. The cutting and thrust forces were measured and the resulting surface topography was characterized. The Schmid factors and fracture factors were calculated, and their ratio SfFf*was determined as a function of cutting direction and resultant force angle. It was found that this approach can be used to predict the number and location of resulting fracture lobes on the surface with respect to the lattice orientation. Two regimes with different topography were predicted when turning (111)CaF2, depending on the resultant force angle.
对 (111)CaF2 进行了轴向单点金刚石车削实验,以研究由此产生的力系对单晶响应的影响。测量了切削力和推力,并对由此产生的表面形貌进行了表征。计算了 Schmid 因子和断裂因子,并确定了它们的比率 SfFf* 与切削方向和结果力角度的函数关系。研究发现,这种方法可用于预测与晶格取向有关的表面断裂裂片的数量和位置。在车削 (111)CaF2 时,根据结果力角度的不同,预测出两种具有不同形貌的状态。
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引用次数: 0
Sensor placement strategy based on reduced-order models for thermal error estimation in machine tools 基于降阶模型的机床热误差估算传感器安置策略
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-11-25 DOI: 10.1016/j.cirpj.2024.10.015
Yuta Teshima, Shun Tanaka, Toru Kizaki, Naohiko Sugita
To compensate for thermal errors in machine tools, strategic sensor placement and rapid error calculation are crucial. This study addresses these challenges using model order reduction. A transfer function matrix and a sensitivity function were defined to optimize the number and locations of sensors without physically attaching them to the machine tool. This methodology was validated through experiments on a 3-axis machining center. The number of sensors was reduced by 50 %, and the calculations were performed instantaneously on a laptop. These results demonstrate the approach's effectiveness in advancing sensor placement strategies and real-time thermal displacement estimation.
要补偿机床中的热误差,战略性传感器布置和快速误差计算至关重要。本研究通过减少模型阶次来应对这些挑战。我们定义了传递函数矩阵和灵敏度函数,以优化传感器的数量和位置,而无需将它们实际安装到机床上。通过在三轴加工中心上进行实验,对这一方法进行了验证。传感器数量减少了 50%,计算在笔记本电脑上即时完成。这些结果证明了该方法在推进传感器安置策略和实时热位移估算方面的有效性。
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引用次数: 0
End-effector contact force estimation for the industrial robot in automated fiber placement processes with dynamic end-load variations 在具有动态末端负载变化的自动化纤维铺放过程中,为工业机器人估算末端执行器接触力
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-11-21 DOI: 10.1016/j.cirpj.2024.11.003
Xiaokang Xu , Liang Cheng , Lei Miao , Xiongwei Zhou , Jiangxiong Li , Yinglin Ke
Contact force estimation makes the interaction between the robot and the environment perceptible and controllable without the need for additional sensor devices. For robots used in Automated Fiber Placement (AFP), contact force estimation is primarily aimed at grasping the magnitude and real-time variations of the compaction roller force, which is one of the most critical process parameters in AFP, directly related to layup accuracy and quality. However, contact force estimation during AFP faces challenges: the consumable carbon fiber prepreg material is mounted on the end-effector, leading to continuous changes in load dynamics parameters. Ignoring this situation renders contact force estimation unreliable, making real-time end-load calibration necessary. This paper first establishes a linear dynamic model of the robot and obtains the Variable Parameter Set (VPS) related to end-load. Then, combining distance sensors and weighted moving average, the volume changes in material rollers are measured to perform fast load calibration of the end-effector and update the VPS. Subsequently, a joint hybrid friction model is established and calibrated. Based on this, a Disturbance Kalman Filter (DKF) observer is established using inverse dynamics and discrete Kalman filter algorithms for real-time estimation of contact force. The calibration routine of the DKF observer considers the noise in measured motor currents and errors in velocity data from individual joints. Vertical lifting experiments and actual AFP experiments demonstrate that fast load calibration and DKF observer can provide robust and accurate estimation of end-effector contact force. Compared to force sensors and the DKF observer without FLC, the RMSE is reduced by over 49 %.
接触力估算使机器人与环境之间的互动变得可感知、可控制,而无需额外的传感器设备。对于用于自动纤维铺放(AFP)的机器人,接触力估算的主要目的是掌握压实辊力的大小和实时变化,而压实辊力是 AFP 中最关键的工艺参数之一,直接关系到铺放精度和质量。然而,AFP 过程中的接触力估算面临着挑战:消耗性碳纤维预浸料安装在末端执行器上,导致负载动态参数不断变化。忽略这种情况会导致接触力估算不可靠,因此有必要进行实时末端载荷校准。本文首先建立了机器人的线性动态模型,并获得了与末端负载相关的可变参数集(VPS)。然后,结合距离传感器和加权移动平均法,测量材料滚筒的体积变化,对末端执行器进行快速负载校准并更新 VPS。随后,建立并校准联合混合摩擦模型。在此基础上,利用反动力学和离散卡尔曼滤波算法建立扰动卡尔曼滤波(DKF)观测器,用于实时估计接触力。DKF 观察器的校准程序考虑了电机电流测量的噪声和单个关节速度数据的误差。垂直升降实验和实际的 AFP 实验证明,快速负载校准和 DKF 观察器可以提供稳健而准确的末端执行器接触力估计。与力传感器和不带 FLC 的 DKF 观察器相比,均方根误差降低了 49% 以上。
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引用次数: 0
Resilience compass navigation through manufacturing organization uncertainty – A dynamic capabilities approach using mixed methods 通过制造组织的不确定性进行复原力指南针导航--采用混合方法的动态能力方法
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-31 DOI: 10.1016/j.cirpj.2024.10.014
Arpita Chari , Mélanie Despeisse , Björn Johansson , Sandra Morioka , Cláudia Fabiana Gohr , Johan Stahre
In uncertain manufacturing environments, tools that help companies and supply chains navigate unexpected events and promote sustainability are crucial. However, the application of resilience in manufacturing organizations is limited, often focusing on supply chain resilience. This study used mixed methods to minimize subjectivity in manufacturing resilience. A quantitative Content Validity Index (CVI) helped develop the 'resilience compass' assessment tool, while empirical applications in six manufacturing organizations demonstrated its usefulness. The study identifies relationships between 54 resilience practices, 11 dynamic capabilities, and three stages: anticipation, coping, and adaptation, providing decision-makers with actionable insights to enhance manufacturing resilience.
在不确定的制造环境中,帮助公司和供应链应对突发事件并促进可持续发展的工具至关重要。然而,制造业组织对复原力的应用有限,通常侧重于供应链的复原力。本研究采用混合方法,以尽量减少制造业复原力的主观性。定量内容效度指数(CVI)有助于开发 "复原力指南针 "评估工具,而在六个制造企业中的经验应用则证明了该工具的实用性。该研究确定了 54 种复原力实践、11 种动态能力和三个阶段(预测、应对和适应)之间的关系,为决策者提供了提高制造业复原力的可行见解。
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引用次数: 0
A structured digital twinning approach to improve decision-making in manufacturing SMEs 改进制造业中小企业决策的结构化数字结对方法
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-28 DOI: 10.1016/j.cirpj.2024.10.010
Maaike Slot , Roy Damgrave , Eric Lutters
Companies aim to adapt their shopfloors to increase the efficiency and effectiveness of their production activities, adding value to their shopfloor. However, it has become increasingly challenging to obtain an accurate and comprehensive overview of the shop floor and organisation, leading to difficulties in making operational, tactical, and strategic decisions. Existing methods to support such companies either restrict access to information or pre-determine the perspectives on the information for decision-making. This research employs a research-by-design approach to develop the digital twinning approach that can facilitate companies to develop a solution that can provide the appropriate information at the right moment and in the right perspective. To structure the digital twinning approach, key functions in the approach are outlined in a functional architecture. Two case studies demonstrate and verify the applicability and added value of the architecture in developing an information provisioning solution. The positive outcomes and experiences from these case studies highlight the potential of the digital twinning approach to facilitate companies in developing adaptable and company-specific solutions to enhance decision-making processes.
企业的目标是调整车间,提高生产活动的效率和效益,增加车间的价值。然而,要获得车间和组织的准确而全面的概况已变得越来越具有挑战性,从而导致在制定运营、战术和战略决策时遇到困难。支持这类公司的现有方法要么限制信息的获取,要么预先确定决策信息的视角。本研究采用 "通过设计进行研究 "的方法来开发数字孪生方法,这种方法可以帮助企业开发出一种解决方案,在正确的时刻以正确的视角提供适当的信息。为了构建数字孪生方法,在功能架构中概述了该方法的关键功能。两个案例研究展示并验证了该架构在开发信息提供解决方案中的适用性和附加值。这些案例研究的积极成果和经验凸显了数字孪生方法的潜力,有助于公司开发适应性强、针对公司具体情况的解决方案,以加强决策过程。
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引用次数: 0
Numerical simulation of molten pool flow behavior in ultrasonic vibration-assisted gas tungsten arc welding of low-alloy high-strength steel 低合金高强度钢超声波振动辅助气体钨极氩弧焊中熔池流动行为的数值模拟
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-25 DOI: 10.1016/j.cirpj.2024.10.012
Keyu Nian, Weifeng Xie, Hao Tu
The beneficial effects of ultrasonic vibration-assisted arc welding on the performance of welded joints have been experimentally confirmed. However, the mechanism of the influence of ultrasonic vibration on the temperature and flow fields of the welding pool is still not clear, which also limits further application prospects of this technology. The present study established a three-dimensional molten pool model for ultrasonic vibration-assisted gas tungsten arc (UV-GTA) welding of low-alloy high-strength steel, considering free deformation of the molten pool surface and different ultrasonic vibration amplitudes. The temperature field evolution and the molten pool flow behavior under various ultrasonic vibration amplitudes were systematically analyzed. Compared with GTA welding, the ultrasonic vibration in UV-GTA welding enhanced uniformity of the temperature distribution in molten pool. Moreover, the larger the ultrasonic amplitude in UV-GTA welding, the smaller the depth of the molten pool and the time required for the molten pool to reach a quasi-steady state, but the larger the maximum flow rate at the surface as well as at the center of the molten pool. At an ultrasonic vibration amplitude of 40 µm, the molten pool depth in UV-GTA welding decreased by 34.8 % compared with GTA molten pool depth. The time for this UV-GTA molten pool to reach a quasi-steady state was just 0.57 s, and the maximum velocity at its center increased by 88.1 % over that of the GTA molten pool. Comparative analysis of the UV-GTA molten pool and the GTA molten pool revealed a shorter circulating flow field on the upper surface and periodic variations in the internal flow field motion. The simulation outcomes closely align with the experimental findings, confirming both the validity of the model and the accuracy of the pertinent conclusions. This research may lay a solid theoretical foundation for further systematic exploration of the wider application prospects of ultrasonic vibration-assisted arc welding.
超声波振动辅助电弧焊对焊接接头性能的有利影响已得到实验证实。然而,超声波振动对焊接熔池温度和流场的影响机理尚不清楚,这也限制了该技术的进一步应用前景。本研究建立了低合金高强度钢超声波振动辅助气体钨极氩弧焊(UV-GTA)的三维熔池模型,考虑了熔池表面的自由变形和不同的超声波振幅。系统分析了不同超声波振幅下的温度场演变和熔池流动行为。与 GTA 焊接相比,UV-GTA 焊接中的超声波振动提高了熔池温度分布的均匀性。此外,UV-GTA 焊接中超声波振幅越大,熔池深度和熔池达到准稳态所需的时间越小,但熔池表面和中心的最大流速却越大。在超声波振幅为 40 µm 时,UV-GTA 焊接的熔池深度比 GTA 熔池深度减少了 34.8%。UV-GTA 熔池达到准稳定状态的时间仅为 0.57 秒,熔池中心的最大速度比 GTA 熔池增加了 88.1%。UV-GTA 熔池与 GTA 熔池的对比分析表明,上表面的循环流场较短,内部流场运动呈周期性变化。模拟结果与实验结果紧密吻合,证实了模型的有效性和相关结论的准确性。这项研究可为进一步系统探索超声波振动辅助电弧焊更广泛的应用前景奠定坚实的理论基础。
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引用次数: 0
Hybrid FE-ML model for turning of 42CrMo4 steel 用于 42CrMo4 钢车削的 FE-ML 混合模型
IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING Pub Date : 2024-10-24 DOI: 10.1016/j.cirpj.2024.10.003
Sampsa Vili Antero Laakso, Andrey Mityakov, Tom Niinimäki, Kandice Suane Barros Ribeiro, Wallace Moreira Bessa
Metal cutting processes contribute significant share of the added value of industrial products. The need for machining has grown exponentially with increasing demands for quality and accuracy, and despite of more than a century of research in the field, there are no reliable and accurate models that describe all the physical phenomena needed to optimize the machining processes. The scientific community has begun to explore hybrid methods instead of expanding the capabilities of individual modelling schemes, which has been more efficient than efficacious direction. Following this trend, we propose a hybrid finite element — machine learning method (FEML) for modelling metal cutting. The advantages of the FEML method are reduced need for experimental data, reduced computational time and improved prediction accuracy. This paper describes the FEML model, which uses a Coupled Eulerian Lagrangian (CEL) formulation and deep neural networks (DNN) from the TensorFlow Python library. The machining experiments include forces, chip morphology and surface roughness. The experimental data was divided into training dataset and validation dataset to confirm the model predictions outside the experimental data range. The hybrid FEML model outperformed the DNN and FEM models independently, by reducing the computational time, improving the average prediction error from 23% to 13% and reduced the need for experimental data by half.
金属切削加工在工业产品的附加值中占有重要份额。随着对质量和精度的要求不断提高,对机械加工的需求也呈指数级增长,尽管在该领域的研究已超过一个世纪,但仍没有可靠而准确的模型来描述优化机械加工过程所需的所有物理现象。科学界已开始探索混合方法,而不是扩大单个建模方案的能力,这已成为比效率更高的方向。顺应这一趋势,我们提出了一种用于金属切削建模的有限元-机器学习混合方法(FEML)。FEML 方法的优势在于减少了对实验数据的需求、缩短了计算时间并提高了预测精度。本文介绍了 FEML 模型,该模型使用了耦合欧拉格拉格朗日(CEL)公式和 TensorFlow Python 库中的深度神经网络(DNN)。加工实验包括力、切屑形态和表面粗糙度。实验数据分为训练数据集和验证数据集,以确认实验数据范围之外的模型预测结果。混合 FEML 模型的性能优于 DNN 和 FEM 模型,它减少了计算时间,将平均预测误差从 23% 提高到 13%,并将实验数据的需求量减少了一半。
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引用次数: 0
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CIRP Journal of Manufacturing Science and Technology
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