Procedia CIRP最新文献

{"title":"Framework for monitoring electric vehicle battery second life health and estimating remaining useful life","authors":"Mohammad Rajabzadeh ,&nbsp;Vincent Hargaden ,&nbsp;Pezhman Ghadimi ,&nbsp;Christoph F. Strnadl ,&nbsp;Nikolaos Papakostas","doi":"10.1016/j.procir.2025.01.035","DOIUrl":"10.1016/j.procir.2025.01.035","url":null,"abstract":"<div><div>The rapid development of electric vehicles has led to the increasingly important role of lithium batteries in the field of performance sources. New technologies make people become more environmentally conscious and switch from buying to controlling electric vehicle life cycles. The mass production of lithium batteries may lead to environmentally friendly transportation. However, traditional lithium battery manufacturers and government policies often focus on the production and recycling phases. The challenges for battery life cycle management and circular economy are increasingly complex and diverse. This paper presents a comprehensive framework for the secondary utilization of lithium batteries by discussing battery aging, monitoring, recycling, secondary use, and lithium battery health prediction. As a result, multiple algorithms were used to evaluate their effectiveness in battery performance prediction. The analysis of the experiments’ results revealed the importance of data pre-processing in improving predictive accuracy, the dependence of model selection on data adaptability, and the need for continuous adjustments during the predictive modeling process.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 209-214"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative inspection methodology for enhanced PCB remanufacturing using artificial intelligence","authors":"Florian Stamer ,&nbsp;Rouven Jachemich ,&nbsp;Stefano Puttero ,&nbsp;Elisa Verna ,&nbsp;Maurizio Galetto","doi":"10.1016/j.procir.2025.01.038","DOIUrl":"10.1016/j.procir.2025.01.038","url":null,"abstract":"<div><div>Electronic waste (e-waste) represents one of the world’s most significant environmental challenges, with over 50 million tons generated annually. A key component is the management of Printed Circuit Boards (PCBs), which are integral components of electronic devices and have an operational lifespan of 15 years. However, on average, electrical equipment is discarded after 5 years due to individual defects, prompting the EU to enforce regulations supporting the right to repair. Although industrial remanufacturing of PCBs could be a viable solution, it is not currently feasible due to the complex inspection process required. This paper presents a novel inspection process approach based on data fusion of thermography, current measurement and optical inspection using artificial intelligence. The result is intelligent diagnostics in less time and with lower investment costs. In addition to the concept, initial investigations with real industrial applications in the field of automation are presented.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 227-232"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward overall indicators for comparing dimensional and geometrical performance of material extrusion printers with adaptive GBTA design","authors":"Laurent Spitaels ,&nbsp;Valentin Dambly ,&nbsp;Édouard Rivière-Lorphèvre ,&nbsp;François Ducobu","doi":"10.1016/j.procir.2025.01.015","DOIUrl":"10.1016/j.procir.2025.01.015","url":null,"abstract":"<div><div>Benchmark artifacts provide the industry with an easy and affordable way to evaluate the geometrical and dimensional performance of multiple AM printers. However, this approach generates large data sets that are difficult to analyze in order to rank the printers and provide an overview of their performance. This paper proposes innovative overall indicators that provide a summary of each printer’s performance relative to the others, based on the concepts of trueness and precision defined by ISO 5725-1, and axes homogeneity of behavior, fit has been successfully tested on four Material Extrusion (MEX) printer-material pairs.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 86-91"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable reinforcement learning in job-shop scheduling: A systematic literature review","authors":"Fabian Erlenbusch ,&nbsp;Nicole Stricker","doi":"10.1016/j.procir.2025.01.005","DOIUrl":"10.1016/j.procir.2025.01.005","url":null,"abstract":"<div><div>Due to the dynamic nature of modern production systems, production planning and control tasks, such as job-shop scheduling, are often solved using reinforcement learning. However, the black-box nature of reinforcement learning hinders the understanding of its decision-making. Explainable reinforcement learning provides explanations of the decision-making, thus increasing trust and transparency, enabling the real-world adoption of such systems. The aim of this work is to establish a foundation for future research on the explainability of reinforcement learning in scheduling a production system, by identifying the state-of-the-art. Therefore, a systematic literature review has been conducted to identify the current knowledge frontier and gaps in knowledge. From our literature review it can be deduced that research on job-shop scheduling using reinforcement learning seldom addresses the explainability of the decision-making. We identified few explainable reinforcement learning techniques in this field and propose that further comprehensive experimental analysis is still required.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 25-30"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable manufacturing measures in practice: insights from leading German manufacturing companies","authors":"Sebastian Beiner","doi":"10.1016/j.procir.2025.01.034","DOIUrl":"10.1016/j.procir.2025.01.034","url":null,"abstract":"<div><div>The concept of sustainable manufacturing is a topic that has attracted significant attention in the field of research. Moreover, it is evident that this concept is also a much-noticed trend in the context of industrial practice. The existing literature provides a substantial number of studies that have been developed and examined with the objective of identifying and evaluating measures improving sustainability. Despite this, there is a notable lack of implementation of these measures in many areas of practice. Our study uses a structured qualitative content analysis of expert interviews with eight German pioneering companies in sustainable manufacturing to illustrate which measures are currently being successfully implemented. A deductive-inductive approach is used to develop a classification scheme for categorizing measures of ecological, economic, and social sustainability. The article then discusses which measures appear to be the most promising, what leading companies are doing to become more sustainable, and provides recommendations for practitioners.</div><div><span><span><span><svg><path></path></svg><span><span>Download: <span>Download Acrobat PDF file (152KB)</span></span></span></span></span></span></div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 203-208"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network- driven optimization of injection moulding parameters for enhanced recycling","authors":"Nicole Stricker ,&nbsp;Sankeerth Desapogu ,&nbsp;Marius Schach ,&nbsp;Iman Taha","doi":"10.1016/j.procir.2025.01.024","DOIUrl":"10.1016/j.procir.2025.01.024","url":null,"abstract":"<div><div>Recycling practices in injection molding can reduce costs and enhance sustainability. This research especially addresses small- to medium-sized companies. The use of scrap material is often related to unknown material behavior. The use of neural networks can assist in the optimization of processing conditions to ensure processibility and product quality. The focus is set on two main process parameters: the smallest cushion volume and the specific switching pressure, as a basis for ensuring optimal material flow and pressure distribution. Virgin and recycled glass fibre reinforced Styrene maleic anhydride (SMA), as well as a mixture thereof was mechanically and Theologically characterized to collect relevant ground truth data. A model was developed using artificial neural networks (ANN), based on 6650 data points covering various process conditions and the different material compositions. This ANN-based model shows potential for improved material utilization and waste reduction, laying the foundation for future AI deployment in sustainable manufacturing.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 141-146"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on multi-material drilling and defects modelling using a fracture mechanics approach","authors":"Rúben D.F.S. Costa ,&nbsp;Raúl D.F. Moreira ,&nbsp;Tiago E.F. Silva ,&nbsp;Daniel A. Figueiredo ,&nbsp;Fernando Ribeiro ,&nbsp;Marcelo F.S.F. de Moura ,&nbsp;Francisco J.G. Silva ,&nbsp;Abílio M.P. de Jesus","doi":"10.1016/j.procir.2024.09.019","DOIUrl":"10.1016/j.procir.2024.09.019","url":null,"abstract":"<div><div>Multi-materials are increasingly used in the automotive and aeronautical industries owing to their high strength-to-weight ratio, besides the high strength and stiffness of metals allied to the lightweight, corrosion resistance, impact, fracture and fatigue properties of composites. Despite being manufactured in near-net shapes, the drilling process remains necessary for component assemblies. However, this process presents significant challenges due to the high abrasiveness of composite fibres and the requirement for tools to cut through different materials simultaneously. These factors contribute to hole damage and rapid tool wear, hindering the efficiency of the machining process. In this paper, multi-material stacks composed of carbon fibre reinforced polymer and aluminium layers were drilled with chemical vapour deposition diamond coated tools to infer on parameter combination (feed and cutting speed) and conditions required to improve the process, as well as reduce/mitigate delamination. A fracture characterization campaign, through the double cantilever beam testing, was performed to correlate the composite's fracture toughness with the maximum force on the onset of delamination, to prevent hole and surface damage. For that the identification of a fracture mechanics peel-up model and its numerical-experimental validation has been performed. Future research includes adding the full fracture envelope (instead of solely pure mode I) as an input to the delamination model, for more accurate portrayal of real conditions.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 119-124"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards manufacturing sustainability: Automated sorting of composite building materials for improved recycling","authors":"Bsher Karbouj ,&nbsp;Friedrich Marcus Mensing ,&nbsp;Jörg Krüger","doi":"10.1016/j.procir.2024.09.017","DOIUrl":"10.1016/j.procir.2024.09.017","url":null,"abstract":"<div><div>Recycling composite building materials, which include elements such as concrete, gypsum and bricks, is essential to mitigating the environmental impact in the construction industry and benefit manufacturing sustainability. By reusing these materials, it not only reduces waste, but also contributes significantly to reducing CO2 emissions, as recycling requires less energy compared to producing new materials. The main process in recycling is sorting materials, which is still carried out manually and involves skilled workers. These methods can be labour-intensive and ineffective. Therefore, introducing automation and partial automation to this sorting process can make a big difference. This paper aims to design an automated sorting system using the image information from two camera systems and laser-induced breakdown spectroscopy (LIBS), which provides information on the chemical composition of the sample in a measurement range of about 100 µm. Due to the heterogeneity of building debris, real-time selection of suitable measuring points on the sample surface is necessary for the targeted use of LIBS. An algorithm is developed that automatically determines suitable measuring points based on the sample topology recorded by a distance sensor and the RGB data from a video camera. Therefore, clustering (k-means) is applied to the RGB-data to gather information on the heterogeneity. LIBS-measurable areas are extracted from the distance sensor's data. A tree of possible measurements is built, and the highest rated branch provides the measurement positions for LIBS. The results show that the algorithm finds suitable measurement positions in which the heterogeneity of the surface composition is mapped. Particularly in the case of limited measurement points the algorithm provides positions for high surface representation of the LIBS data. The validation of the developed system is carried out on synthetic data and testing on photogrammetrically recorded real samples. The refinement of the sample's material map (e.g by optimizing the clustering) can elevate the method towards industrial usability. This will contribute to the implementation of circular economy.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 94-99"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CFRP grinding under different coolant conditions","authors":"Mohammad Rabiey ,&nbsp;Andrin Meier","doi":"10.1016/j.procir.2024.09.011","DOIUrl":"10.1016/j.procir.2024.09.011","url":null,"abstract":"<div><div>Carbon fiber reinforced polymers (CFRP) are a class of materials used in various applications such as lightweight construction due to their outstanding physical and mechanical properties. The heterogeneous structure of composite materials makes them more difficult to be machined. Delamination due to machining is a typical quality problem that can ultimately lead to component failure. The high-strength and abrasive carbon fibers cause significant tool wear. The plastic matrix poses a further problem, as it is very temperature-sensitive and hardly thermally conductive. CFRP is usually machined under dry conditions with a geometrically defined cutting edge processes.</div><div>This paper investigates the grinding process of CFRP with superabrasive grinding tools in dry condition, Minimum Quantity Lubrication (MQL) and wet lubrication conditions with two different nozzle types. The evaluation is based on the machining forces, delamination on the surfaces and the surface roughness. In addition, the influence of the bond and the abrasive on the machining forces and the wear behaviour of the tools is investigated. The results show that the machining forces depend heavily on the machining conditions. With certain machining parameters, dry machining induces higher process forces than wet machining. In addition, dry and MQL machining causes more residue of the machined material to adhere to the workpiece and tool. The forces and quality of the machined workpieces using minimum quantity lubrication are almost identical to the results of wet machining. From this point of view, minimum quantity lubrication is a good strategy for CFRP grinding. The cleaning effort for the workpieces and the machine should also be taken into the consideration. The chip spaces of vitrified bonded grinding tools tend to be filled with chips caused loading of the wheel. Finally, the study shows that grinding with cooling lubricant outperforms dry machining and results in better quality parts.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 50-55"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Copyright Page","authors":"","doi":"10.1016/S2212-8271(25)00068-X","DOIUrl":"10.1016/S2212-8271(25)00068-X","url":null,"abstract":"","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Page ii"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509469","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}