Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.029
Tanya Jahangirkhani , Ninja vom Stein , Peter Nyhuis , Manuel Löwer
{"title":"Process Model For Holistic Factory And Quality Planning In The Context Of A Reorganization","authors":"Tanya Jahangirkhani , Ninja vom Stein , Peter Nyhuis , Manuel Löwer","doi":"10.1016/j.procir.2026.01.029","DOIUrl":"10.1016/j.procir.2026.01.029","url":null,"abstract":"<div><div>Increasingly dynamic markets and shorter product life cycles are forcing companies to continuously adapt their factories in the form of reorganizations. To ensure that such reorganization projects can be implemented successfully, it is important to integrate quality management into factory planning at an early stage. In this context, holistic quality management systems must be made more agile and responsive to meet changing requirements. This article presents a process model for integrating quality management systems into the factory planning process in accordance with VDI 5200. For this purpose, identified interfaces are presented and quality gates are developed on their basis.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 162-167"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161928","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.030
Marcos Padrón Hinrichs , Julian Haller , Robert H. Schmitt
{"title":"Production ramp-up in discrete manufacturing systems: a systematic literature review of modelling methods","authors":"Marcos Padrón Hinrichs , Julian Haller , Robert H. Schmitt","doi":"10.1016/j.procir.2026.01.030","DOIUrl":"10.1016/j.procir.2026.01.030","url":null,"abstract":"<div><div>Production ramp-up management is becoming increasingly complex due to shorter product lifecycles driven by customization demand and technological development. Production system dynamics and instability during ramp-up complicate monitoring and predicting the impact of decisions to meet defined targets. In this paper, a systematic literature review is conducted to provide an overview of the current state of modelling methods for ramp-up management in discrete multi-stage manufacturing systems. The review identifies and categorizes preventive and reactive modelling approaches on this topic and provides future research directions.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 168-173"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161929","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.023
Maurice Meyer , Roland Jochem
{"title":"Derivation of key success factors for the use of digital twins in production networks as enabler to increase supply chain quality","authors":"Maurice Meyer , Roland Jochem","doi":"10.1016/j.procir.2026.01.023","DOIUrl":"10.1016/j.procir.2026.01.023","url":null,"abstract":"<div><div>In response to the decreasing depth of value creation and concentration of companies on their core competences, global networks of customers, manufacturers and suppliers have emerged. However, this development confronts companies with numerous challenges in terms of ensuring and improving the quality of their goods and services. Companies are increasingly dependent on the quality capability of their suppliers. On top of that, the multitude of exchange relationships and interfaces in the value creation network imply that the supply chain is considerably vulnerable to disruptions and errors. In this regard, traditional management approaches reach their limits. The application of advanced digital technologies becomes indispensable. Therefore, this paper aims to examine the usage of digital twins in production networks as enabler to enhance supply chain quality. Analyzing digital twin applications in the context of supply chain quality management, this work focuses on deriving essential success factors for the use of digital twins in production networks. As a result, a framework to provide guidance for digital twin implementation is presented.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 126-131"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161938","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}
{"title":"Proposal of Entangled Chip Cleaning Using Image-Processing-Based Chip Detection and Robotic Grasping Chip Removal Motion","authors":"Ryuki Takahashi , Leonardo Rauseo , Yoko Hirono , Yasuhiro Kakinuma","doi":"10.1016/j.procir.2026.01.040","DOIUrl":"10.1016/j.procir.2026.01.040","url":null,"abstract":"<div><div>This study addresses the rising demand for factory automation due to manpower shortages. In response to the common challenge of cleaning steel chips entangled in a turning process, we introduce an innovative automatic chip cleaning system with a mobile manipulator. The system integrates chip detection and removal functionalities. Utilizing a unique image alignment method in the chip detection process, it robustly identifies chips by comparing normal and abnormal chuck images under varying light conditions with low computational costs. Besides, the entire chip cleaning system’s movement was simulated, emphasizing its potential for new applications of a mobile manipulator in factory automation.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 228-233"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162069","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.061
Nils Felinks , Jens Ostrowski , Dirk Biermann
{"title":"Increased Sustainability in High Performance Tapping of Aluminum Cast Alloys by Modern Lubrication Technology","authors":"Nils Felinks , Jens Ostrowski , Dirk Biermann","doi":"10.1016/j.procir.2026.01.061","DOIUrl":"10.1016/j.procir.2026.01.061","url":null,"abstract":"<div><div>The energy consumption in machining processes is significantly determined by lubricant conditioning. Especially in mass production, the amount of energy used for pumps, filtration system and disposal process can be decreased by modern lubrication technologies. This study deals with the effect of modern lubricants on machinability in high performance tapping of aluminum cast alloy AlSi10Mg. Based on experimental tests with emulsion, MQL and drawing lubricant, the mechanical tool loads and the resulted thread quality in thread forming are analyzed comparatively. Finally, the sustainability of the regarded lubrication technologies are evaluated.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 352-356"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162070","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.060
Moschos Papananias
{"title":"Non-Intrusive Monitoring of Machining Processes for In-Process Product Health Prediction based on Machine Learning","authors":"Moschos Papananias","doi":"10.1016/j.procir.2026.01.060","DOIUrl":"10.1016/j.procir.2026.01.060","url":null,"abstract":"<div><div>Intelligent monitoring systems for machining processes have been gradually developed for various scenarios, such as tool condition monitoring, chatter detection and product health prediction. Existing approaches of monitoring machining processes for quality assurance typically rely on intrusive sensor systems, such as dynamometers and spindle accelerometers, to obtain informative signals for training an algorithm, thus limiting their widespread adoption in industry. This paper presents a non-intrusive machining process monitoring method for in-process product health prediction with uncertainty information using Gaussian Process Regression (GPR). The performance of the proposed method is demonstrated on the prediction of dimensional deviations of a milling process.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 346-351"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162141","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.081
Melina Wenzel , Rafael Garcia Carballo , Dirk Biermann , Petra Wiederkehr
{"title":"Modeling the compliance behavior of milling tools modified with asymmetric dynamic properties","authors":"Melina Wenzel , Rafael Garcia Carballo , Dirk Biermann , Petra Wiederkehr","doi":"10.1016/j.procir.2026.01.081","DOIUrl":"10.1016/j.procir.2026.01.081","url":null,"abstract":"<div><div>By specifically modifying the dynamic properties and behavior of milling tools, their performance in machining processes can be increased. By applying, e.g., grooves to the tool shank, asymmetrical dynamic properties of the tool can be achieved and the dynamic response during successive tooth engagements can be adjusted. In order to investigate the compliance behavior for these asymmetric properties under cutting conditions, analogy tests for different groove depths were performed. To consider this behavior in a simulation-based process analysis, suitable models are required. For this purpose, the dynamic behavior was investigated and modeled taking the excitation angle into account.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 468-473"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162144","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}
Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.procir.2026.01.083
Simon Jaquet , Alexander Meijer , Jonas Baumann , Nils Denkmann , Finn Ontrup , Nelson Filipe Lopes Dias , Wolfgang Tillmann , Dirk Biermann , Jörg Debus
{"title":"Towards the evaluation of wear and time-variant process stability during milling supported by k-means cluster analyses of Raman scattering data","authors":"Simon Jaquet , Alexander Meijer , Jonas Baumann , Nils Denkmann , Finn Ontrup , Nelson Filipe Lopes Dias , Wolfgang Tillmann , Dirk Biermann , Jörg Debus","doi":"10.1016/j.procir.2026.01.083","DOIUrl":"10.1016/j.procir.2026.01.083","url":null,"abstract":"<div><div>Tool wear dynamics, efficiency of coatings in wear mitigation and dynamic process stability are studied for C45 steel machining using uncoated and TiAlN coated end mills. The TiAlN coated tools exhibit an enhanced wear resistance evidenced by a significant reduction in wear mark width, while the process stability becomes limited. Raman spectroscopy combined with grey-box modeling furthermore highlights possible wear initiations for the TiAlN thin films and outlines that the observed wear mitigation is related to the formation of self-organized nanostructures, primarily driven by a temperature-induced spinodal decomposition of TiN and AlN phases within the coating.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 480-485"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162146","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}
{"title":"Advancing Sustainable Milling: A Novel Framework for Tool Wear Prediction","authors":"Stefania Ferrisi , Rosita Guido , Danilo Lofaro , Giuseppina Ambrogio","doi":"10.1016/j.procir.2026.01.077","DOIUrl":"10.1016/j.procir.2026.01.077","url":null,"abstract":"<div><div>Tool degradation is a critical issue in milling process design, influencing production efficiency, quality, and cost-effectiveness. Various factors, including tool material properties, machining parameters, and workpiece material, influence tool flank wear. To anticipate and mitigate tool wear, optimizing tool life and overall machining performance, a novel framework is proposed to predict tool wear. A real dataset obtained from experimental observations of a milling process, incorporating different machine parameters, was used to build predictive models. The research aims to overcome tool life limitations, reduce downtime, and minimize production costs, paving the way for more efficient and sustainable machining processes.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"138 ","pages":"Pages 444-449"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162161","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}