Procedia CIRP最新文献

{"title":"Static stiffness analysis of an electronically preloaded rack and pinion feed drive system","authors":"Oier Franco ,&nbsp;Xavier Beudaert ,&nbsp;Ibai Ulacia ,&nbsp;Kaan Erkorkmaz ,&nbsp;Jokin Munoa","doi":"10.1016/j.procir.2025.01.012","DOIUrl":"10.1016/j.procir.2025.01.012","url":null,"abstract":"<div><div>Rack and pinion feed drives are commonly selected for large machine tools with long travel distances due to their consistent stiffness, which remains unaffected by axis stroke. To mitigate the inherent backlash between the pinion and the rack, a double pinion setup with electronic preload, managed via CNC is typically used. This commissioned preload value not only influences the acceleration capacity, but also the stiffness behaviour of the feed drive system as demonstrated in this study. A coupled master-slave controlled rack and double pinion model is developed and validated through static stiffness measurements on a large-scale machine tool at varying levels of electronic preload.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 68-73"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510927","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":"Development of an engineering drawing detection and extraction algorithm for quality inspection using deep neural networks","authors":"Madania Mahira Agritania ,&nbsp;Mohammad Mi’radj Isnaini","doi":"10.1016/j.procir.2025.01.023","DOIUrl":"10.1016/j.procir.2025.01.023","url":null,"abstract":"<div><div>The manufacturing industry frequently produces multiple parts of the same type in a single batch process. Ensuring the quality of each part within specified tolerances is essential to maintain interchangeability in the assembly process. An integral aspect of quality inspection involves accurately interpreting engineering drawings to create inspection sheets. This study developed a deep neural network model to detect and recognize dimensions in engineering drawings for generating inspection sheets. The primary stages of the model include engineering drawing view detection, dimension detection, character recognition, information block processing, and output generation. The model was validated through two evaluation methods, k-fold cross-validation and testing on 10 real-world sample drawings, achieving a recall of 85.2%, precision of 88.7%, and an F-1 score of 86.9%. This proposed model can be implemented to reduce the time required for the quality inspection setup process, enhancing efficiency, and minimizing errors.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 135-140"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510930","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 the electron dynamics of MoS2 under ultraviolet femtosecond laser irradiation","authors":"Huimin Qi,&nbsp;Jinshi Wang","doi":"10.1016/j.procir.2025.01.006","DOIUrl":"10.1016/j.procir.2025.01.006","url":null,"abstract":"<div><div>As a promising two-dimensional (2D) material, MoS₂ exhibits considerable potential for applications in miniaturized optoelectronic devices. Although extensive research has been conducted on laser processing techniques for patterning or thinning MoS₂, studies on the interaction mechanisms between lasers and MoS₂ relatively limited. This paper employs first-principles methods based on time-dependent density functional theory (TDDFT) to systematically investigate the excited-state properties of MoS₂ under ultraviolet laser irradiation, which enhances our understanding of the interaction processes between femtosecond lasers and 2D materials. The study explores the impact of laser intensity on energy deposition, photoinduced current, and the distribution of electron-hole pairs. The results indicate that the modulus of the optical conductivity decreases rapidly with increasing laser intensity, highlighting a more pronounced saturation absorption effect in the current. Additionally, a phase transition was observed at a laser intensity of 5×10¹² W/cm², providing new insights into laser-induced phase transitions. By analyzing the spatiotemporal distribution of charge carriers, the study elucidates the mechanisms of charge carrier transport. These simulation results establish a foundation for optimizing laser processing techniques for MoS₂.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 31-36"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511031","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":"Modeling of temperature fields in milling of unidirectionally reinforced CFRP depending on the fibre orientation angle and the effective width of cut","authors":"Wolfgang Hintze ,&nbsp;Ganna Shchegel ,&nbsp;Jan Mehnen ,&nbsp;Carsten Möller ,&nbsp;Jan Dege","doi":"10.1016/j.procir.2024.09.006","DOIUrl":"10.1016/j.procir.2024.09.006","url":null,"abstract":"<div><div>CFRP parts are conventionally used within various industries; however, during machining these components, the generated heat is a very relevant limiting factor. Exceeding the glass transition temperature can lead to workpiece degradation, reduced strength, and shorter lifetime. During up-cut milling of unidirectional (UD) CFRP with PCD cutters, the temperature was measured using thermocouples and a thermographic camera, while the cutting torque was measured with a rotating dynamometer. The maximum temperature increase at the machined surface, the heat flow from the machining zone into the material, and the ratio of heat flow to spindle power were simulated. An analytical model developed earlier for the temperature field in machining orthotropic composites with arbitrary fibre orientation was used. The results indicate that cutting power, heat flow, and the ratio of heat flow to cutting power exhibit approximate symmetry relative to the fibre orientation angle Φ = 90°. Introducing the concept of the fibre orientation symmetry angle is useful. Unexpected fractures of larger segments of remaining UD CFRP material occur at all feeds at higher fibre orientation and engagement angles within a small range of fibre cutting angles near 45°, significantly reducing the nominal width of cut and impairing results. The effective width of cut was evaluated based on the drop in cutting torque, measured at various fibre orientation angles, cutting speeds, feeds, and nominal widths of cut. The highest maximum temperature increase consistently occurs at Φ = 135°. As an overall effect, higher cutting speeds lead to increased cutting power, heat flow, and maximum temperature at the machined surface, but result in a smaller depth of the heat-affected zone. The simulations conclude that a higher fibre orientation symmetry angle leads to a higher equivalent heat flux, shorter thermal contact length, and reduced heat flow, and vice versa. In the future, the influence of different tools and composite materials needs to be investigated.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 19-25"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509370","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":"Advanced Ply Shape Generation in Composite Material Layup Using FEA-derived Fiber Information","authors":"Raphael Höfer ,&nbsp;Henrik Eschen ,&nbsp;Felix Gehlhoff ,&nbsp;Alexander Fay","doi":"10.1016/j.procir.2024.09.007","DOIUrl":"10.1016/j.procir.2024.09.007","url":null,"abstract":"<div><div>The current manufacturing process of commercial aerospace components using Automated Fiber Placement (AFP) fails to fully utilize the potential of composites, producing quasi-isotropic laminates. The design, computation, and path generation steps are isolated, requiring extensive design cycles and manual effort. To harness potential weight and cycle time reductions, new automated path planning processes are needed to optimize parameters like load path-compliant path planning and tape width variation. This paper presents a novel approach for the automatic and integrated generation of ply shapes based on stress results from Finite Element Analysis (FEA) for variable angle laminates manufactured using AFP. The proposed method aims to reduce manual effort, components weight and production time. The focus is on extracting FEA data to automatically identify regions of high stress and similar fiber properties. A segmentation technique is proposed, dividing the component into segments to generate tailored ply shapes that conform to complex geometries and curvature requirements. This method allows for flexible load path-compatible planning and high deposition rates without introducing defects due to limited fiber tape steering. Segmentation forms the basis for load path-optimized path planning, emphasizing the interplay between FEA data extraction and segmentation. The benefits in terms of cost and production time are demonstrated by applying the method to components in both simulation and real tests.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 26-31"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509371","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":"Effects of Metal Surface Treatment on the Interfacial Strength in Magnesium Alloy-Based Fiber Metal Laminates","authors":"Rachele Bertolini ,&nbsp;Enrico Simonetto ,&nbsp;Andrea Ghiotti ,&nbsp;Stefania Bruschi","doi":"10.1016/j.procir.2024.09.008","DOIUrl":"10.1016/j.procir.2024.09.008","url":null,"abstract":"<div><div>Magnesium alloy-based fiber metal laminates (FMLs) represent a novel composite type, increasingly recognized for their potential in high-performance engineering applications, particularly in the aerospace and automotive industries. A strong bonding interface is a key factor in improving the durability of these laminates; to achieve this, appropriate surface treatments of the magnesium alloy sheets need to be applied.</div><div>The study aims to compare different metal surface treatments, specifically phosphating and sandblasting, to enhance the interfacial strength between the metal skins and the composite core of the fiber metal laminates. The morphology, composition, and surface energy of the differently treated metal surfaces were analyzed using scanning electron microscopy, chemical analysis, and measurements of wettability and roughness. Subsequently, the resistance of the interfacial strength was evaluated through lap shear tests under mode II loading conditions. After mechanical testing, the characteristics of the fractured surfaces were analyzed.</div><div>Although the FML samples with phosphatized metal surfaces exhibit a less defective interface than those with sandblasted metal surfaces, they are characterized by a lower mechanical strength. This behavior is attributed to the premature peeling off of the phosphating layer from the magnesium alloy sheets. With the gained insights, further research avenues open up towards optimized interfaces for FML components.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 32-36"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509372","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":"Application of the PM² methodology in the analysis of assembly processes","authors":"Adenilson Furquim dos Santos ,&nbsp;Eduardo de F. Rocha Loures ,&nbsp;Eduardo A. Portela Santos","doi":"10.1016/j.procir.2025.01.027","DOIUrl":"10.1016/j.procir.2025.01.027","url":null,"abstract":"<div><div>In today’s industrial landscape, gaining a comprehensive understanding of process models is essential for effective decision-making. Such an understanding plays a key role in optimizing production processes, reducing operational costs, enhancing product quality, identifying and mitigating potential risks, and improving overall operational efficiency. This paper presents an in-depth case study focused on a combustion engine production line, demonstrating the practical application of the Process Mining Methodology (PM²). PM² provides a systematic and structured approach to process analysis, utilizing event logs recorded in an advanced information system. The study reveals how insights can be gained regarding the production process, enabling the identification of inefficiencies and the recommendation of targeted, data-driven improvements. These recommendations can significantly contribute to operational efficiency and system reliability. This article discusses the research context, the PM² methodology, its application on an assembly line, and the implications of the findings, concluding with suggestions for future research.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 159-164"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511035","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":"Remaining time prediction in manufacturing systems: an approach based on ML and process mining","authors":"João Gabriel Santin Botelho ,&nbsp;Eduardo Alves Portela Santos ,&nbsp;Alexandre Checoli Choueiri ,&nbsp;José Eduardo Pécora Junior","doi":"10.1016/j.procir.2025.01.028","DOIUrl":"10.1016/j.procir.2025.01.028","url":null,"abstract":"<div><div>The remaining time prediction of production orders in the manufacturing domain is of major concern among production, planning, and control (PPC) managers. PPC managers must deal with significant uncertainty regarding the promise of delivering products to customers. Many techniques use data to predict the remaining time of production orders, such as neural networks, time series analysis, and non-parametric statistical models, among others. A powerful way to deal with these new machine-based data records is through process mining techniques, which can summarize and collect information about the underlying process based on event logs. This paper proposes a hybrid predictive model based on annotated transition-systems and machine learning models tailored to better predict ongoing production orders in industrial manufacturing environments. The linear combination of models is performed by optimizing a linear programming (LP) model that minimizes the combined absolute errors of predictions. We tested our new approach on artificially created logs. Results showed that our approach provides better accuracy measures than all the other tested methods for the test instances.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 165-170"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511036","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":"A novel method for carbon fiber reinforced thermoplastics production combining single point incremental forming and 3D printing","authors":"Zsolt Kállai,&nbsp;Doran Nettig,&nbsp;Johann Kipping,&nbsp;Jan-Erik Rath,&nbsp;Thorsten Schüppstuhl","doi":"10.1016/j.procir.2024.09.014","DOIUrl":"10.1016/j.procir.2024.09.014","url":null,"abstract":"<div><div>Dieless processes such as additive manufacturing or incremental sheet forming are becoming increasingly popular in manufacturing carbon fiberreinforced components. They are a promising option for producing individual parts or small lot sizes without the need for expensive molds and can thus revolutionize the creation of patient-tailored prosthetics or high-end sports equipment. In this paper, the combination of robotic singlepoint incremental forming of carbon fiber-reinforced organo sheets with carbon fiber-reinforced 3D printing is presented. Combining those dieless processes in a novel process chain, complex parts with different geometric features could be produced without the need for adhesives or fasteners. The developed method begins with designing the desired component in CAD and its division into sections to be formed incrementally and sections to be 3D printed. For incremental forming, an organo sheet is cut to the necessary shape, sandwiched between a layup of dummy metal sheets, fixed on a clamping frame, and heated to the required forming temperature. Path planning for the robot is carried out based on a selected forming strategy, and the sheet is formed. Afterward, the part is transferred and fixed onto a robotic experimental 3D printing setup. The partx92s surface is 3D-scanned to provide the basis for the path planning algorithm. The slicer software generates non-planar layers based on the actual shape of the formed sheet and the desired geometry of the printed part section. After slicing, the code for the robot is generated and the print job is executed. Within this paper, the conceptualized process chain is presented and basic functionality is proven by manufacturing a demonstration part. The first results are promising to enable efficient manufacturing of complex components that combine different geometric features in small batch sizes. Future research will be conducted to analyze and optimize the process chain and its capabilities, especially regarding the resulting part quality.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 68-73"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509256","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":"Post-machining strategies for additively manufactured silicon carbide ceramic components","authors":"Maximilian Rapp ,&nbsp;Nicole Gottschalk ,&nbsp;Matthias Schneider ,&nbsp;H.-Christian Möhring","doi":"10.1016/j.procir.2024.09.010","DOIUrl":"10.1016/j.procir.2024.09.010","url":null,"abstract":"<div><div>Additive Manufacturing offers a high level of freedom in design. Higher functionality can be achieved through more complex shapes which can only be manufactured by 3D printing. To achieve the desired surface quality and dimensional accuracy, it is necessary to post-machine the components. In the case of 3D printed silicon carbide (SiC) ceramic components, machining becomes extremely challenging not only due to its high hardness and wear resistance but also due to its complex shape. Polycrystalline diamond tools with geometrically defined cutting edges are used to meet these challenges. To obtain these components, a thermoplastic compound is shaped using the extrusion-based 3D printing technology. The green body is transformed to a SiC-based ceramic using the Liquid Silicon Infiltration process. Different feedstocks lead to different microstructures. The phase compositions range from monolithic two-phase-material SiSiC (approx. 88 % SiC, 12 % silicon) to C-SiSiC with short carbon fibres (approx. 50 % SiC, 20 % carbon, 30 % silicon). These compositions not only affect (thermo-) mechanical properties but also subsequent machining processes. In order to overcome the high hardness and the challenges posed by the brittle behavior of SiC-based ceramics, machining with geometrically defined cutting edges is systematically investigated. For this purpose, machining tests are conducted in a linear-orthogonal cutting configuration. In this configuration, the macro geometry of the polycrystalline diamond tools and the cooling lubricant strategy are tested. 2D cutting simulations, employing a ceramic material model based on the Drucker-Prager criterion, complement the experimental findings. The collected results contribute to the machining of complex additively manufactured ceramic components.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 44-49"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509374","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}