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Low frequency feed modulation assisted milling for chatter avoidance 低频进给调制辅助铣削以避免颤振
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.057
Yutaro Kawana , Seyed Mahmood Shantiaeezade , Burak Sencer (2) , Ryosuke Ikeda , Norikazu Suzuki (2)
This paper presents a low-frequency vibration assisted machining strategy to improve dynamic stability of milling operations. Machine tool feed-drives are utilized to introduce low-frequency and low-amplitude feed modulations that are used to control tool’s cutting-edge engagement. The pitch angle of a tool can be altered to effectively realize variable pitch cutting kinematics. Feed modulation signal is automatically adjusted to suppress chatter vibrations on-the-fly. Experimental results show that a conventional 4-flute cutter can be transformed to cut with 3 or less teeth with variable pitch arrangement to improve both the asymptotic chatter stability limit and the lobe structure to maximize productivity.
提出了一种低频振动辅助加工策略,以提高铣削加工的动态稳定性。机床进给驱动器用于引入低频和低幅度进给调制,用于控制刀具的尖端接合。可以改变刀具的俯仰角,有效地实现变节距切削运动学。馈入调制信号自动调节,以抑制颤振振动。实验结果表明,将传统的4槽铣刀改造成3齿或更少的变间距切削,既提高了渐近颤振稳定极限,又改善了叶片结构,实现了生产率最大化。
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引用次数: 0
A novel electromagnetic end-effector with adaptive force-stiffness coordinated control for robotic grinding with variable workpiece stiffness 针对变工件刚度的机器人磨削,提出了一种自适应力-刚度协调控制的电磁末端执行器
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.087
Jixiang Yang , Xu Tang , Han Ding , Yuehong Yin (1)
This paper presents an adaptive force-stiffness coordinated control framework for custom-developed electromagnetic variable stiffness end-effector (EMVSE) used in robotic grinding with varying workpiece stiffness. The EMVSE generates actively controlled stiffness and force through designed voice coil motor and electromagnetic spring. The force-stiffness coordination control combines an optimized nonlinear PID force controller with bounded tracking error constraints and a self-stiffness controller based on real-time workpiece stiffness estimation, thereby achieving precise force control for grinding with variable workpiece stiffness. Experiments validate the effectiveness of the proposed method in improving the force control accuracy, material removal accuracy and surface quality of robotic grinding.
针对自定义电磁变刚度末端执行器(EMVSE)用于变工件刚度的机器人磨削,提出了一种自适应力-刚度协调控制框架。EMVSE通过设计音圈电机和电磁弹簧产生主动控制的刚度和力。力-刚度协调控制将具有有界跟踪误差约束的优化非线性PID力控制器与基于工件刚度实时估计的自刚度控制器相结合,实现变工件刚度磨削的精确力控制。实验验证了该方法在提高机器人磨削力控制精度、材料去除精度和表面质量方面的有效性。
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引用次数: 0
Retraction notice to "Effect of a variable laser beam profile system on productivity and surface quality of 316L stainless steel parts produced by Laser Powder Bed Fusion" [CIRP Ann. - Manuf. Technol 72 (2023) 121-124] “可变激光束轮廓系统对激光粉末床熔合生产316L不锈钢零件生产率和表面质量的影响”的撤回通知[CIRP Ann]。-制造技术72 (2023)121-124]
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.07.001
Lars Vanmunster , Louca Goossens , Yannis Kinds , Brecht Van Hooreweder , Bey Vrancken
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引用次数: 0
Human-centric assembly in smart factories 智能工厂中以人为中心的组装
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.058
Lihui Wang (1) , Robert X. Gao (1) , Jörg Krüger (1) , József Váncza (1)
Assembly in future smart factories needs to address three challenges, including human centricity, sustainability, and resilience. Conventional approaches for automation in assembly have reached a bottleneck in terms of operation automomy, leaving various tasks to continued manual labour by human operators. To ease the burden on humans both physically and intellectually, human-centric assembly enhanced by augmented robots, cognitive systems, mixed reality and collaborative intelligence, assisted by thought-driven brain robotic controls, provides a promising solution. Within the context, this keynote provides an in-depth analysis of the state of human-centric assembly and identifies potentially fruitful research directions in future smart factories.
未来智能工厂的装配需要解决三个挑战,包括以人为中心、可持续性和弹性。传统的装配自动化方法在操作自动化方面已经达到了瓶颈,使各种任务由人类操作员继续进行体力劳动。为了减轻人类身体和智力上的负担,增强机器人、认知系统、混合现实和协作智能增强的以人为中心的装配,在思想驱动的大脑机器人控制的辅助下,提供了一个有希望的解决方案。在此背景下,本主题对以人为中心的装配状态进行了深入分析,并确定了未来智能工厂中可能富有成效的研究方向。
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引用次数: 0
Fixtures and workpiece clamping systems in machining 机加工中的夹具和工件夹紧系统
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.096
Hans-Christian Möhring (2) , Dirk Biermann (1) , Friedrich Bleicher (1) , Shreyes Melkote (1) , Gregor Kappmeyer (3)
Workpiece clamping systems (WPCS) constitute core elements of machining systems. As part of the force flow and accuracy path, WPCS influence the performance and efficiency of the manufacturing processes. By functional integration, enhanced capability can be introduced to the machining system. Monitoring, active adjustment and process control can be achieved. The layout, design and optimisation of WPCS should be an integrated element in process planning. For this, computer aided support systems are available. Modelling of WPCS enables virtual analyses of process-workpiece-fixture interaction and makes optimisation possible. This paper gives an overview of the technology of WPCS and introduces future perspectives.
工件夹紧系统(WPCS)是加工系统的核心部件。WPCS作为力流和精度路径的一部分,影响着制造过程的性能和效率。通过功能集成,可以为加工系统引入增强的功能。可实现监控、主动调节和过程控制。WPCS的布局、设计和优化应成为工艺规划的一个综合要素。为此,计算机辅助支持系统是可用的。建模的WPCS使虚拟分析过程-工件-夹具的相互作用,使优化成为可能。本文对WPCS技术进行了综述,并对其发展前景进行了展望。
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引用次数: 0
Interaction between forced and chatter vibrations through flank-workpiece interference 通过侧面-工件干涉的强迫振动和颤振振动之间的相互作用
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.064
Takehiro Hayasaka (2), Hayato Murai, Kyungki Lee, Eiji Shamoto (1)
In this paper, the interaction between forced and chatter vibrations through flank-workpiece interference is studied. The effect of the well-known process damping, which occurs due to the contact between the flank face and the workpiece, on the chatter stability has been studied broadly. However, this contact should occur by forced vibration also, which has not been studied much in the literature. Due to this contact, forced vibration should suppress chatter, and vice versa; interaction should occur. A model is constructed to evaluate this interaction, and the interactive effects are clarified through simulations and experiments.
本文研究了翼面-工件干涉过程中受迫振动与颤振振动的相互作用。众所周知,由于后端面与工件接触而产生的过程阻尼对颤振稳定性的影响已经得到了广泛的研究。然而,这种接触也应该发生在强迫振动中,这在文献中还没有太多的研究。由于这种接触,强制振动应抑制颤振,反之亦然;交互应该发生。建立了一个模型来评估这种相互作用,并通过仿真和实验阐明了这种相互作用的效果。
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引用次数: 0
AI-based sensor layout for predicting thermal deformations of CFRP machine tools 基于ai的CFRP机床热变形预测传感器布局
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.048
Felix Finkeldey , Makoto Kato , Petra Wiederkehr (2) , Yasuhiro Kakinuma (2)
Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised information content is necessary for efficient training. In this paper, an approach for optimising sensor configurations for predicting thermal deformations is presented. From initially 300 temperature sensors, the number of required sensors was significantly reduced while maintaining predictive accuracy. Furthermore, a pattern for sensor placement was identified, providing the potential for an efficient sensor layout that enables cost-effective data acquisition and improved monitoring of machining and wear progression of machine tool components.
使用基于数据的方法,可以实现对热变形的准确预测,这可以显著影响制造部件的质量。然而,有效的训练需要足够数量的数据和最大程度的信息内容。本文提出了一种优化传感器结构以预测热变形的方法。从最初的300个温度传感器,所需的传感器数量显着减少,同时保持预测精度。此外,还确定了传感器的放置模式,为有效的传感器布局提供了潜力,从而实现了具有成本效益的数据采集,并改进了对机床部件加工和磨损过程的监测。
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引用次数: 0
Finding hidden spindle bearing defect periods using Ramanujan filter banks 利用拉马努金滤波器组寻找隐藏的主轴轴承缺陷期
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.072
Mohit Law (2)
Classifying defects is difficult when spindle bearings have multiple faults that interact with each other and result in the measured vibrations exhibiting cyclo- and non-stationarity. For such cases, this paper shows that the Ramanujan sum when used as a basis to construct filter banks helps decompose the signal into its individual components that makes it possible to estimate hidden defect periods. Illustrative examples with different spindle types show how filter banks can identify periods not obvious in the signal’s Fourier spectra, or in spectrograms, or even those left unclassified by the envelope spectrum method or the empirical mode decomposition method.
当主轴轴承有多个相互作用的故障并导致测量振动表现出周期性和非平稳性时,分类缺陷是困难的。对于这种情况,本文表明,当使用拉马努金和作为构建滤波器组的基础时,有助于将信号分解为其单个分量,从而可以估计隐藏缺陷周期。不同主轴类型的示例说明了滤波器组如何识别信号傅立叶谱中不明显的周期,或频谱图中不明显的周期,甚至是包络谱方法或经验模态分解方法未分类的周期。
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引用次数: 0
Compensation of blank warpage in punching processes through an innovative adaptive control system for adjusting part holder forces 通过一种创新的自适应控制系统调节零件夹紧力来补偿冲压过程中的毛坯翘曲
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.090
Mathias Liewald (2), Stephan Nießner
Punched sheet metal parts are shear cut at least once during production. Shearing sheets generally cause dislocation movements in the lattice structure, leading to inhomogeneous stress distributions and thus part warpage. Although strategies for avoiding warpage are principally known, flatness tolerances of high-quality punched parts often cannot be met since specific and experience-based adjustments of machine parameters are required. This paper presents a method for automatically compensating for warpage of perforated blanks by adapting part holder forces acting in a innovative punching tool. Cutting force measurements from previous process sequences and a machine learning model are considered for this adaption.
冲压钣金件在生产过程中至少要剪切一次。剪切片通常会引起晶格结构中的位错运动,导致应力分布不均匀,从而导致零件翘曲。虽然避免翘曲的策略主要是已知的,但由于需要对机器参数进行具体和基于经验的调整,高质量冲压件的平面度公差通常无法满足。本文提出了一种通过调整作用在新型冲孔工具中的压边力来自动补偿穿孔毛坯翘曲的方法。从以前的工艺序列和机器学习模型的切削力测量考虑了这种适应。
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引用次数: 0
Cutting force reconstruction in milling by multi-sensor fusion with hybrid aid of process and data-driven models 基于多传感器融合的铣削切削力重建方法
IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Pub Date : 2025-01-01 DOI: 10.1016/j.cirp.2025.04.093
Shuntaro Yamato
This paper proposes an approach to cutting force reconstruction in milling combining a machine learning model with cutting process simulations. The machine learning model is developed in the feature space of amplitude spectra associated with the tooth-passing components extracted through the moving Fourier transform of time series data. Subsequently, the cutting force time waveform is reconstructed by integrating the estimated amplitude spectra with phase information provided by a cutting simulator. This approach facilitates efficient model construction compared to directly using time waveforms for training. It also enables straightforward multiple-sensor fusion using the ML model, thereby enhancing estimation performance.
提出了一种将机器学习模型与切削过程仿真相结合的铣削切削力重构方法。通过对时间序列数据进行移动傅里叶变换,在与通过齿分量相关的振幅谱特征空间中建立机器学习模型。然后,将估计的振幅谱与切削模拟器提供的相位信息进行积分,重建切削力时间波形。与直接使用时间波形进行训练相比,这种方法有助于有效地构建模型。它还可以使用ML模型实现直接的多传感器融合,从而提高估计性能。
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引用次数: 0
期刊
Cirp Annals-Manufacturing Technology
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