Procedia CIRP最新文献

英文中文

Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems 识别量子计算在制造系统研究和操作中的应用

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.161

Oliver Schiffmann , James Gopsill , Max Ridley , Maria Valero

This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.

本文探讨了量子计算在解决制造系统设计和运行中的数值问题方面的潜在应用领域。本文确定了需要大量经典计算资源的制造系统问题，并提供了量子替代方案。然后，本文讨论了替代方案可以实现的量子硬件，并对当今嘈杂的中尺度量子硬件方案的适用性以及近期可能发生的发展进行了评论。确定的最有前途的领域是作业调度，其中存在可在当今量子计算硬件上实现的量子替代方案。接下来是设施布局和车辆调度，尽管需要进一步的硬件/算法开发。我们还讨论了一种用于故障检测的量子替代方案，但要确定其潜在优势还为时过早。

引用次数: 0

Machine learning-driven multi-objective alloy selection framework for mechanical property criteria 机械性能标准的机器学习驱动多目标合金选择框架

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.03.056

Erkan Tur , Joseph Betts , Laurent Perge , Alborz Shokrani

This study presents a new machine learning framework for multi-objective alloy selection, focusing on key mechanical properties such as tensile strength, elongation, hardness, and Charpy energy. Traditional tools are often limited in their ability to manage large datasets and the complex, non-linear relationships between alloy composition, process parameters, and mechanical properties. In contrast, machine learning models such as XGBoost, Fine-Tuned Stacking, and Ensemble methods provide a scalable solution, allowing for the simultaneous consideration of multiple mechanical property objectives. The models were trained on a comprehensive dataset of stainless steel alloys, filtering materials that meet predefined performance criteria. Among the models, the Ensemble approach achieved the best results, with a precision of 0.98 and recall of 0.93. The findings show that integrating machine learning into the alloy selection process has the potential to improve decision-making accuracy for practical engineering applications.

本研究提出了一种新的多目标合金选择机器学习框架，重点关注关键力学性能，如抗拉强度、伸长率、硬度和夏比能量。传统工具通常在管理大型数据集和合金成分、工艺参数和机械性能之间复杂的非线性关系方面受到限制。相比之下，机器学习模型（如XGBoost、微调堆叠和集成方法）提供了可扩展的解决方案，允许同时考虑多个机械性能目标。这些模型是在不锈钢合金的综合数据集上训练的，过滤材料符合预定义的性能标准。其中，Ensemble方法的准确率为0.98，召回率为0.93，效果最好。研究结果表明，将机器学习集成到合金选择过程中有可能提高实际工程应用的决策准确性。

引用次数: 0

Adaptive Human-Robot Collaboration in Industrial Assembly: Augmented Reality-Supported Dynamic Task Allocation with Intuitive Process Planning 工业装配中的自适应人机协作：增强现实支持的具有直观工艺规划的动态任务分配

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.173

Christoph Petzoldt , Dario Niermann , Dennis Keiser , Michael Freitag

As industrial assembly faces increasing demands for cost-efficiency and flexibility, human-robot collaboration (HRC) emerges as a promising solution for small to medium production volumes. To address practical challenges in HRC implementation – such as effective task distribution, trust, and workers’ information needs – this paper introduces a system that uses augmented reality (AR) to enhance adaptive HRC. The system intuitively provides essential information to workers and dynamically adjusts task allocation based on individual performance. It consists of five core components: an AR-integrated situation recognition system, situation-aware robot path planning, dynamic task allocation, AR visualization of work information, and a no-code software interface with a digital twin for process creation and monitoring. The paper offers a comprehensive overview of the system architecture, the user interfaces for process creation and AR visualization, and details a novel approach for optimization-based dynamic task allocation. Improvements in efficiency and collaboration are demonstrated through a practical assembly scenario at a laboratory workstation for collaborative assembly.

随着工业装配对成本效率和灵活性的要求越来越高，人机协作（HRC）成为中小批量生产的一种有前途的解决方案。为了解决HRC实施中的实际挑战，如有效的任务分配、信任和员工信息需求，本文介绍了一个使用增强现实（AR）增强适应性HRC的系统。该系统直观地为员工提供必要信息，并根据个人表现动态调整任务分配。它由五个核心组件组成：AR集成态势识别系统、态势感知机器人路径规划、动态任务分配、工作信息的AR可视化，以及用于流程创建和监控的无代码软件接口。本文全面概述了系统架构、过程创建和AR可视化的用户界面，并详细介绍了一种基于优化的动态任务分配的新方法。通过在实验室工作站进行协作装配的实际装配场景，演示了效率和协作的改进。

{"title":"Adaptive Human-Robot Collaboration in Industrial Assembly: Augmented Reality-Supported Dynamic Task Allocation with Intuitive Process Planning","authors":"Christoph Petzoldt , Dario Niermann , Dennis Keiser , Michael Freitag","doi":"10.1016/j.procir.2025.02.173","DOIUrl":"10.1016/j.procir.2025.02.173","url":null,"abstract":"<div><div>As industrial assembly faces increasing demands for cost-efficiency and flexibility, human-robot collaboration (HRC) emerges as a promising solution for small to medium production volumes. To address practical challenges in HRC implementation – such as effective task distribution, trust, and workers’ information needs – this paper introduces a system that uses augmented reality (AR) to enhance adaptive HRC. The system intuitively provides essential information to workers and dynamically adjusts task allocation based on individual performance. It consists of five core components: an AR-integrated situation recognition system, situation-aware robot path planning, dynamic task allocation, AR visualization of work information, and a no-code software interface with a digital twin for process creation and monitoring. The paper offers a comprehensive overview of the system architecture, the user interfaces for process creation and AR visualization, and details a novel approach for optimization-based dynamic task allocation. Improvements in efficiency and collaboration are demonstrated through a practical assembly scenario at a laboratory workstation for collaborative assembly.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 585-590"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Pattern Modeling for Asynchronicity in Production Data 面向生产数据异步性的模式建模

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.03.023

Arno Schmetz , Achim Kampker

Modern Production and Next Generation Manufacturing Systems rely heavily on data from production and production environments. This leads to critical dependency on the quality of said data, where lacks in quality result in limited performance, reduced resilience, and applicability of data-driven models. In complex production setups, multiple sources of data must be aggregated and synchronized accurately to enable correct assignment of sensors to the same location and time during production. The Time Synchronization Problem in manufacturing describes the problem of asynchronous data streams based on the technical limitations of technical clocks. In this paper, we present modeling approaches to the asynchronicity of production data streams in short- and long-term data acquisition. Based on experiments with production machines, we propose a set of typical asynchronicity patterns, which can be used to model the asynchronicity in offline synchronization methods to improve quality of the production data quality for manufacturing systems and models.

现代生产和下一代制造系统严重依赖于来自生产和生产环境的数据。这导致了对所述数据质量的严重依赖，而缺乏质量会导致数据驱动模型的性能受限、弹性降低和适用性降低。在复杂的生产设置中，必须准确地汇总和同步多个数据源，以便在生产过程中正确地将传感器分配到相同的位置和时间。制造业中的时间同步问题描述了基于技术时钟技术限制的异步数据流问题。在本文中，我们提出了短期和长期数据采集中生产数据流异步性的建模方法。通过对生产机器的实验，提出了一套典型的异步模式，可用于离线同步方法中的异步建模，以提高制造系统和模型的生产数据质量。

引用次数: 0

Navigating the environmental footprint methodology for aluminium products with post-consumer scrap 利用消费后废料处理铝产品的环境足迹方法

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.168

Chibuikem Nwagwu , Jon Halfdanarson , Christina Meskers

The Norwegian aluminium value chain aims to increase the use of post-consumer scrap (PCS) in product manufacturing to lower the product environmental footprints. Discussions with product manufacturers, shredding & sorting companies, and remelters were held to investigate the challenges and current implementation of the environmental footprint methods as these are an integral part of companies’ disclosure efforts on PCS use. The company’s position in the value chain impacts their interpretations of aluminium flow nomenclature and the associated environmental credits, and thus influences methodological choices. Furthermore, a method that better reflects the industrial realities and balances the different circularity goals is needed. The net-scrap approach (e.g. EN15804) was identified as it incentivises both recycled material usage and PCS recycling. Also, the end-of-waste concept, quality aspects, and temporal dimensions of using PCS were identified as challenges. This paper dives deeper into these topics and provides a direction for the aluminium manufacturing industry.

挪威铝价值链旨在增加产品制造中消费后废料（PCS）的使用，以降低产品的环境足迹。与产品厂家洽谈，撕碎；分拣公司和再熔炼厂举行会议，调查环境足迹方法的挑战和当前实施情况，因为这些方法是公司披露PCS使用情况的一个组成部分。公司在价值链中的地位影响了他们对铝流命名法和相关环境信用的解释，从而影响了方法论的选择。此外，需要一种更好地反映工业现实并平衡不同循环目标的方法。我们采用净废物方法（例如EN15804），因为它既鼓励循环再造物料的使用，又鼓励个人电脑的循环再造。此外，废物结束概念、质量方面和使用PCS的时间维度被确定为挑战。本文对这些问题进行了深入的探讨，为铝制造业的发展提供了方向。

引用次数: 0

Co-innovation tools, mechanisms and methods – status quo and potentials 协同创新的工具、机制和方法——现状与潜力

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.165

Arian Lamann , Herwig Winkler , Hans-Rüdiger Lange , Nizar Abdelkafi

Co-innovation and open innovation are approaches to innovation management that are designed to stimulate innovation in organizations. This study analyzes technical offline and online support tools that can aid co-innovation projects by identifying appropriate functionalities. A systematic literature review and analysis of co-innovation tools reveals a lack of support, particularly in the areas of (i) intellectual property management, (ii) compliance and legal management, (iii) planning and analysis management, and (iv) performance and monitoring management. Physical toolkits show advanced development in meeting the criteria, while software solutions lag behind. The findings highlight the need for comprehensive innovation support tools.

共同创新和开放式创新是创新管理的方法，旨在刺激组织中的创新。本研究分析了技术离线和在线支持工具，可以通过确定适当的功能来帮助共同创新项目。系统的文献回顾和对共同创新工具的分析表明，缺乏支持，特别是在(i)知识产权管理、（ii）合规和法律管理、（iii）规划和分析管理以及（iv）绩效和监测管理等领域。物理工具包在满足标准方面显示出先进的发展，而软件解决方案则落后。研究结果强调需要全面的创新支持工具。

引用次数: 0

Objective validation for short-term material flow simulation 短期物料流动模拟的客观验证

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.170

Heiner Reinhardt , Boran Bogdanow , Roman Arnold , Bastian Prell , Philipp Klimant , Frank Seifert , Mahtab Mahdaviasl , Steffen Ihlenfeldt

Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.

离散事件模拟（DES）技术在物料流模拟中得到广泛应用，以支持生产计划和控制。这是因为对制造系统和生产策略的更改可以在实际实施之前进行虚拟检查。由于人工开发和反复调整仿真模型耗时且容易出错，许多研究建议采用计算机模型生成和同步。然而，很少考虑对这种生成的或同步的模型进行验证。在这里，我们提出了一种可扩展的客观验证技术，用于重复短期模拟生成的模型。为了说明这一点，该技术应用于一个大批量的汽车生产线和一系列的模拟周期。

引用次数: 0

Evolving product passports for effective and efficient (re)commissioning 不断发展产品护照，以实现有效和高效的（重新）调试

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.03.052

Lucas Pronk , Roy Damgrave , Eric Lutters

The process of commissioning in production environments is concerned with the assessment of the operability of assets and their conformity to specified requirements. The utilisation of product life cycle data enables the scope of commissioning to be expanded to encompass not only the immediate fit-for-purpose of an asset, but also its potential for fit-for-repurpose or even fit-for-future-purpose. In this expanded approach, product passports play a pivotal role by isolating asset-specific data. This allows for assets to be embedded within new environments, and facilitates recommissioning. A case study on robotic manipulators explores the gap between physical assets and their digital representations in order to argue potential product passport content for (re)commissioning purposes. Evolving product passports thus offer a means to isolate asset data that support, amongst others, recommissioning for varied operational demands and environments.

生产环境中的调试过程涉及对资产的可操作性及其符合规定要求的评估。利用产品生命周期数据，可以扩大调试范围，不仅包括资产的直接适用性，还包括其适合重新用途甚至适合未来用途的潜力。在这种扩展的方法中，产品护照通过隔离特定于资产的数据发挥关键作用。这允许将资产嵌入到新的环境中，并促进重新调试。机器人操纵器的案例研究探讨了物理资产与其数字表示之间的差距，以便为（重新）调试目的争论潜在的产品护照内容。因此，不断发展的产品护照提供了一种隔离资产数据的方法，这些数据支持针对各种操作需求和环境进行重新调试。

引用次数: 0

Identifying key properties of thermoplastics affected by mechanical recycling processes to support material selection for circularity 确定受机械回收过程影响的热塑性塑料的关键性能，以支持循环性材料的选择

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.03.055

Mareike Tilenda , Ben Rodenwaldt , Max Ehleben , Max Juraschek

To support the circular economy in product design, engineers increasingly consider replacing raw materials with recyclates and future recyclability. Mechanical recycling, however, can alter material properties, thus affecting the utilization potential. For enabling closed-loop material flows, these changes must be considered in material selection. This study proposes to consider circularity indices in commonly used material properties for thermoplastics to help engineers in designing products for manufacturing and recycling. Through literature research and empirical data, these indices are established and material properties are derived and analyzed. Results show that various properties change differently across materials during mechanical recycling. The proposed material indices consider these changes, enhancing material selection for circular flows. This research underscores the need to consider the implications of multiple life cycles in material selection to improve sustainability.

为了在产品设计中支持循环经济，工程师们越来越多地考虑用可回收物和未来可回收性来替代原材料。然而，机械回收可以改变材料的性质，从而影响利用潜力。为了实现闭环材料流，必须在材料选择中考虑这些变化。本研究提出在热塑性塑料常用材料性能中考虑循环指数，以帮助工程师设计制造和回收的产品。通过文献研究和实证数据，建立了这些指标，并对材料性能进行了推导和分析。结果表明，在机械回收过程中，不同材料的各项性能发生了不同的变化。提出的材料指标考虑了这些变化，加强了循环流动的材料选择。这项研究强调了在材料选择中需要考虑多生命周期的影响，以提高可持续性。

引用次数: 0

Deflection Compensation in Lightweight Robots Using a Digital Twin with Extended Dynamics as a Virtual Sensor 采用扩展动力学数字孪生体作为虚拟传感器的轻型机器人偏转补偿

Procedia CIRP

Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.03.029

Philipp Rodegast , Denis Pfeifer , Valentin Leipe , Lukas Steinle , Jonas Scheid , Marcel Hagedorn , Joerg Fehr

Lightweight, special-purpose robots are increasingly employed to automate tasks that standard industrial robots cannot handle for reasons of cost or suitability. However, their lightweight design makes them more prone to defection under operational loads, affecting tool-center-point (TCP) positioning accuracy. Although model-based compensation methods can mitigate these effects, they often require substantial engineering expertise.

This paper presents a novel approach to improve the TCP positioning accuracy by implementing a virtual sensor that leverages digital twins with extended dynamics, in this case an elastic multibody system (EMBS). To reduce engineering effort, we reuse and expand the model from virtual commissioning (VC). We validate our method on a lightweight food-palletizing robot, deploying the digital twin on the control platform to actively compensate for TCP deflection. Its effectiveness is validated through external laser measurements.

由于成本或适用性的原因，标准工业机器人无法处理的任务越来越多地采用轻型、专用机器人来自动化。然而，它们的轻量化设计使它们在操作载荷下更容易发生挠度，影响工具中心点（TCP）定位精度。尽管基于模型的补偿方法可以减轻这些影响，但它们通常需要大量的工程专业知识。本文提出了一种提高TCP定位精度的新方法，该方法通过实现一个虚拟传感器，利用具有扩展动力学的数字孪生，在这种情况下是弹性多体系统（EMBS）。为了减少工程工作量，我们从虚拟调试（VC）中重用和扩展模型。我们在一个轻型食品码垛机器人上验证了我们的方法，在控制平台上部署数字孪生体来主动补偿TCP偏转。通过外部激光测量验证了其有效性。

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Procedia CIRP

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀