Procedia CIRP最新文献

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Development of an innovative, posture-independent dynamometer for robotic milling applications 开发一种创新的，姿态无关的机器人铣削应用测功机

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.045

G. Totis , A. Bordon , F. Scalzo , E. Vaglio , M. Sortino

Nowadays robotic milling is largely used in strategic industrial sectors such as aerospace. Unfortunately, robotic arms are characterized by a large, posture-dependent dynamic compliance, which limits the achievable performances of the cutting process. In-process, real-time knowledge of system dynamic compliance – for any generic robot posture – together with a good reconstruction of the input cutting forces would enable an effective optimization of robotic milling. For this purpose, a novel device for cutting force measurements in robotic milling was designed and developed in this work. Relatively cheap PVDF sensors have been selected as main sensing elements, in combination with piezoelectric accelerometers, according to the principles of the Universal Dynamometer that was recently presented in technical literature. In this work, the design, testing and preliminary validation of the new device will be presented, showing its outstanding potential advantages.

如今，机器人铣削已广泛应用于航空航天等战略工业部门。不幸的是，机械臂的特点是一个大的，姿态依赖的动态顺应性，这限制了切割过程的可实现性能。在过程中，系统动态顺应性的实时知识-对于任何通用机器人姿态-以及输入切削力的良好重建将使机器人铣削的有效优化成为可能。为此，本文设计并研制了一种新型的机器人铣削切削力测量装置。根据最近在技术文献中提出的通用测功机原理，选择相对便宜的PVDF传感器作为主要传感元件，并与压电加速度计结合使用。在这项工作中，将介绍新设备的设计，测试和初步验证，展示其突出的潜在优势。

引用次数: 0

Shape error prediction in 5-axis machining using graph neural networks 基于图神经网络的五轴加工形状误差预测

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.082

J. Huuk , B. Denkena , A. Dhingra , E. Ntoutsi

This paper presents an innovative method for predicting shape errors in 5-axis machining using graph neural networks. The graph structure is defined with nodes representing workpiece surface points and edges denoting the neighboring relationships. The change in workpiece geometry is captured at each node as time series data. The dataset encompasses data from a material removal simulation, process data, and post-machining quality information. Experimental results show that the presented approach can generalize the shape error prediction for the investigated workpiece geometry. Moreover, by modelling spatial and temporal connections within the workpiece, the approach handles a low number of labels compared to non-graphical methods such as Support Vector Machines.

提出了一种利用图神经网络预测五轴加工形状误差的新方法。用节点表示工件表面点，边表示相邻关系来定义图结构。工件几何形状的变化在每个节点作为时间序列数据被捕获。该数据集包括来自材料去除模拟，过程数据和加工后质量信息的数据。实验结果表明，该方法可以推广对被测工件几何形状的形状误差预测。此外，通过对工件内的空间和时间连接进行建模，与支持向量机等非图形方法相比，该方法处理的标签数量较少。

引用次数: 0

Material Removal Rate Definition Based on Equivalence Principle in Profile Grinding 基于等效原理的异形磨削材料去除率定义

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.092

Natalia Lishchenko , Vasily Larshin , Garret O’Donnell

The parameters that characterize the profile grinding method productivity, e.g., the material removal rate, specific material removal rate, and material removal as well as specific grinding energy can be obtained through the cross-sectional area of the material layer being cut. In turn, the value of the cross-sectional area during profile grinding is usually found by integrating the equation that describes the groove profile shape in its cross section. The paper proposes a simpler method at the theorem level, which consists of determining the cross-sectional area of an equivalent (in terms of area) rectangular profile installed at the same grinding depth. That is, the task of profile grinding with a curved profile grinding wheel (triangular, semi-circular, involute, etc.) is reduced to the task of the area determining for an equivalent rectangular profile, i.e., just the same as for rectangular grinding conventional operations – surface and cylindrical ones. It is shown that the width of the specified equivalent rectangular profile is in the interval between the widths of the grooves of the curved profile before and after the next working stroke during profile grinding.

表征轮廓磨削方法生产率的参数，如材料去除率、比材料去除率、材料去除率和比磨削能量，可以通过被切割材料层的横截面积得到。反过来，通常通过在其横截面中对描述槽型形状的方程进行积分来求轮廓磨削时的横截面积值。本文在定理层面上提出了一种更简单的方法，即确定安装在相同磨削深度的等效矩形轮廓的横截面积。也就是说，曲面轮廓砂轮（三角形、半圆、渐开线等）的轮廓磨削任务简化为等效矩形轮廓的面积确定任务，即与矩形磨削常规操作-曲面磨削和圆柱磨削相同。结果表明：指定的等效矩形轮廓宽度为轮廓磨削时下一个工作行程前后曲线轮廓槽宽度之间的间隔。

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引用次数: 0

Prediction of surface roughness based on fusion model 基于融合模型的表面粗糙度预测

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.098

Soraya Zenhari , Jie Ni , Kim Werkle , Hans-Christian Möhring

Accurate prediction of surface roughness based on input cutting parameters is beneficial for controlling the surface quality of the workpiece. Traditional mathematical models struggle with the complex relationship between cutting parameters and surface quality. The objective of the research is to identify an optimal model and hyperparameters through a comprehensive evaluation process. To achieve desired surface roughness, a fusion model is presented to control production cutting parameters. Experimental results indicate that fusion models trained with machine learning algorithms are highly accurate in predicting the surface roughness of additively manufactured parts. Notably, the data fusion method enhances prediction accuracy even further.

基于输入切削参数准确预测表面粗糙度有利于控制工件的表面质量。传统的数学模型难以处理切削参数与表面质量之间的复杂关系。研究的目的是通过综合评价过程确定最优模型和超参数。为了获得理想的表面粗糙度，提出了一种融合模型来控制生产切削参数。实验结果表明，用机器学习算法训练的融合模型在预测增材制造零件表面粗糙度方面具有较高的准确性。值得注意的是，数据融合方法进一步提高了预测精度。

引用次数: 0

Material removal model considering time-varying contact state for robotic disk grinding of free-form surfaces 考虑时变接触状态的自由曲面机器人圆盘磨削材料去除模型

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.096

Bingzhou Xu , Zeyuan Yang , Wenqi Cai , Xiaojian Zhang , Sijie Yan , Han Ding

Robotic disk grinding is usually used in aeronautical parts manufacture with free-form surfaces which have high requirements for manufacturing accuracy. Most of the existing contact geometry models are unable to be used for accurate prediction for free-form surfaces, due to that the various curvatures of the free-form surfaces at different path points will lead to a time-varying contact state. This paper proposes a novel contact geometry model based on point cloud, which can efficiently predict contact geometry variations under force control along the tool path. Combined with the wear model, the dynamical material removal depth can be predicted accurately.

机器人圆盘磨削常用于对加工精度要求较高的航空零件的自由曲面加工。由于自由曲面在不同路径点处曲率的变化会导致接触状态随时间变化，现有的接触几何模型大多无法对自由曲面进行准确预测。提出了一种基于点云的接触几何模型，该模型能有效地预测力控制下沿刀具轨迹的接触几何变化。结合磨损模型，可以准确预测动态材料去除深度。

引用次数: 0

Framework for Natural Language Processing to Automate Material Flow Simulation in Production System Planning 生产系统规划中自动化物料流模拟的自然语言处理框架

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.031

Merlin Korth , Marco Wurster , Marvin Carl May , Gisela Lanza

An increasingly dynamic market environment is enforcing greater changeability and flexibility in production systems. To address this complexity with simulation models, expert knowledge needs to be externalized. Therefore, we propose a framework that converts expert discussions and written documents into textual requirements to create simulation configurations. This automates the manual and time-consuming process of specifying the scenario and instantiating simulation models. We discuss the overall architecture that is able to understand complex technical language and explain the approach that dynamically adapts to new requirements. The natural language processing-based framework promises great potential of a seamless setup up of a-priori evaluations of productions systems to enable a comprehensive deployment of digital twins.

日益活跃的市场环境正在加强生产系统的可变性和灵活性。为了解决模拟模型的复杂性，专家知识需要外部化。因此，我们提出了一个框架，将专家讨论和书面文档转换为文本需求，以创建仿真配置。这自动化了指定场景和实例化仿真模型的手动且耗时的过程。我们讨论了能够理解复杂技术语言的整体体系结构，并解释了动态适应新需求的方法。基于自然语言处理的框架为产品系统的先验评估的无缝建立提供了巨大的潜力，从而实现了数字孪生的全面部署。

引用次数: 0

Spindle performance monitoring via accelerometer measurements in data-driven models 通过数据驱动模型中的加速度计测量来监测主轴性能

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.035

Gregory W. Vogl , M. Wahidur Rahman , Yongzhi Qu

The future of manufacturing depends on transitioning traditional machines into intelligent machine tools that can monitor and control themselves. As the spindle is an essential component of machine tools, the performance of machine tool spindles should be tracked for quality control. For example, smart spindles could be equipped with accelerometers for monitoring the spindle performance via models that relate the measured accelerations to the spindle error motions. Various data-driven models were created that estimate spindle-related displacements from on-machine accelerations. The estimated displacements were compared, revealing the advantages and disadvantages of each model to monitor the spindle performance.

制造业的未来取决于将传统机器转变为能够自我监测和控制的智能机床。由于主轴是机床的重要部件，因此需要对机床主轴的性能进行跟踪，以便进行质量控制。例如，智能主轴可以配备加速度计，通过将测量的加速度与主轴误差运动联系起来的模型来监测主轴性能。我们创建了各种数据驱动的模型，以估计机器上加速度产生的主轴相关位移。对估计的位移进行了比较，揭示了每种模型用于监测主轴性能的优缺点。

引用次数: 0

A ROS2-based Framework to enable CAM-based milling with robots 一个基于ros2的框架，使基于cam的铣削与机器人

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.047

Maximilian Bryg, Claudius Birk, Martin Kipfmüller, Jan Kotschenreuther

Flexibility and efficiency in production technology remain crucial for maintaining competitiveness. Highly adaptable systems are required to meet this demand. Small and medium-sized robots can play a vital role in enhancing these requirements, particularly in highly specialized manufacturing. However, for these robots to be effective, they have to be integrated in the process flow of manufacturing technology. This article proposes a method for closing the gap between Computer Aided Manufacturing (CAM) and robots performing the milling tasks. The present article illustrates, how data from common CAM systems can be fed into a ROS2-based robot environment and resultant advantages.

生产技术的灵活性和效率仍然是保持竞争力的关键。为了满足这一需求，需要高度适应性的系统。中小型机器人可以在提高这些要求方面发挥至关重要的作用，特别是在高度专业化的制造业中。然而，为了使这些机器人发挥作用，它们必须集成到制造技术的工艺流程中。本文提出了一种方法来缩小计算机辅助制造（CAM）和机器人执行铣削任务之间的差距。本文说明，如何从常见的CAM系统的数据可以馈送到一个基于ros2的机器人环境和由此产生的优势。

引用次数: 0

Towards Uniform and Consistent Data Modelling of Resources in Distributed Industrial Control Systems 分布式工业控制系统中资源统一一致数据建模研究

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.053

Rebekka Neumann, Moritz Walker, Michael Neubauer, Alexander Verl

Industrial automation systems are evolving. Approaches such as software-defined manufacturing aim to overcome the barriers of rigid predefined structures in the manufacturing domain. When functionality of the production hardware is defined by software services, new types of resources have to be modeled to depict the automation system in its entirety. Since software is executed on computing resources, and these directly influence the behavior of the manufacturing system, an approach to consistently model these different types of resources is necessary. In this paper, we present a model to depict production and compute resources continuously and uniformly.

工业自动化系统在不断发展。软件定义制造等方法旨在克服制造领域中刚性预定义结构的障碍。当生产硬件的功能由软件服务定义时，必须对新类型的资源进行建模，以完整地描述自动化系统。由于软件是在计算资源上执行的，并且这些资源直接影响制造系统的行为，因此有必要采用一种方法对这些不同类型的资源进行一致的建模。本文提出了一种连续、统一地描述生产资源和计算资源的模型。

引用次数: 0

Protected QR Code-based Anti-counterfeit System for Pharmaceutical Manufacturing 基于保护二维码的药品生产防伪系统

Procedia CIRP

Pub Date : 2026-01-01 DOI: 10.1016/j.procir.2026.01.056

Md Masruk Aulia , Nitol Saha , Md. Mostafizur Rahman

The pharmaceutical manufacturing faces critical challenges due to the global threat of counterfeit drugs. This paper proposes a new approach of protected QR codes to secure unique product information for safeguarding the pharmaceutical supply chain. The proposed solution integrates secure QR code generation and encrypted data transmission to establish a comprehensive anti-counterfeit ecosystem. The protected QR codes encapsulate product information that cannot be identified using traditional QR code scanners which protect the information against replication and tampering. The system is developed with scalability in mind, which can be easily implemented without introducing any additional modification in the traditional supply chain.

由于假药的全球性威胁，制药业面临着严峻的挑战。本文提出了一种保护QR码的新方法来保护产品的唯一信息，以保障药品供应链的安全。该解决方案集成了安全二维码生成和加密数据传输，建立了一个全面的防伪生态系统。受保护的QR码封装了传统QR码扫描仪无法识别的产品信息，从而保护信息免受复制和篡改。该系统的开发考虑了可扩展性，可以很容易地实现，而无需在传统供应链中引入任何额外的修改。

引用次数: 0

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