Procedia CIRP最新文献_第5页

Investigations of Burr Formation in Single Point Planing with Varying Uncut Chip Thickness

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.039

Gero Polus , Jannis Saelzer , Andreas Zabel , Dirk Biermann

引用次数: 0

Structure and Validation of a Kinematic Surface Simulation Model for the ultrashort-pulse Direct-Laser-Writing Process

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.040

Fabian Wieland , Eric Gärtner , Sebastian Wieland

{"title":"Structure and Validation of a Kinematic Surface Simulation Model for the ultrashort-pulse Direct-Laser-Writing Process","authors":"Fabian Wieland , Eric Gärtner , Sebastian Wieland","doi":"10.1016/j.procir.2025.02.040","DOIUrl":"10.1016/j.procir.2025.02.040","url":null,"abstract":"<div><div>This paper presents the development and validation of a kinematic surface simulation model for the prediction of ultrashort-pulsed laser structured surfaces. The simulation is based on an existing kinematic simulation model for short-pulsed laser structuring and utilizes the stepwise Boolean intersection of a machined and digitized single point ablation with the workpiece to reproduce the microstructuring process. The existing short-pulse simulation model was extended by newly integrated description models to allow a more detailed representation of within the process changing influences, e.g. the surface fine-structure to enable a multi-layer processing. In addition, a reorganization of the simulation algorithm resulted in a general improvement of the run time and a resolution-independence.</div><div>Based on the kinematic simulation principle, the manufacturing process for a wide range of material-machine combinations in the field of laser structuring can be described. The model enables a time-efficient, nanometer-resolved prediction of representative surfaces with a size of up to several square millimeters. Furthermore, complex influences such as material- and temperature-related properties do not need to be considered separately, as they are taken into account by the machined and digitized single point ablation. Compared to artificial intelligence approaches and numerical or multiphysical simulations, the need for preliminary studies is very low. Depending on the chosen laser machining parameters the simulation can reproduce the surface textures macro- and microstructure.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","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":"143759560","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

Optimizing the properties of PHBV/PBAT blend for additive manufacturing

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2024.09.004

Shafahat Ali , Ibrahim Deiab , Salman Pervaiz

{"title":"Optimizing the properties of PHBV/PBAT blend for additive manufacturing","authors":"Shafahat Ali , Ibrahim Deiab , Salman Pervaiz","doi":"10.1016/j.procir.2024.09.004","DOIUrl":"10.1016/j.procir.2024.09.004","url":null,"abstract":"<div><div>In recent years, 3D printing has become increasingly popular for producing biodegradable products and for exploring a variety of applications. The development of polyhydroxy-co-3-butyrate-co-3-valerate (PHBV) and Polybutylene adipate-co-terephthalate (PBAT) blend for 3D printing has been the subject of extensive research. This paper examines the impact of printing parameters on the mechanical properties of 3D-printed components. The study successfully optimized the mechanical properties of 3D-printed PHBV/PBAT blend parts, achieving a tensile strength of 22.96 MPa, a modulus of 767 MPa, and an elongation percentage of 180 %. These results were obtained by identifying the optimal printing parameters through a Taguchi L9 design and Desirability Function Analysis (DFA), specifically a 0.35 mm layer height, 210 degrees C nozzle temperature, and 100 % infill density. The addition of PBAT significantly enhanced the ductility of PHBV, marking a substantial improvement in elongation. This research provides a robust framework for optimizing the performance of biodegradable blends in additive manufacturing, with promising implications for future applications in sustainable material development.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 7-12"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509368","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}

引用次数: 0

Experimental study of electrical discharge-assisted turning for UD CFRP under low voltage condition

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2024.09.009

Ryuta Kuboshima , Hidetake Tanaka , Emir Yilmaz

{"title":"Experimental study of electrical discharge-assisted turning for UD CFRP under low voltage condition","authors":"Ryuta Kuboshima , Hidetake Tanaka , Emir Yilmaz","doi":"10.1016/j.procir.2024.09.009","DOIUrl":"10.1016/j.procir.2024.09.009","url":null,"abstract":"<div><div>CFRP (Carbon Fiber Reinforced Plastic) is prone to intensive tool wear due to the influence of carbon fibers contained as reinforcing materials, causing problems such as burrs and deterioration of finished dimensions. With the increased demand for microfabricated products using CFRP in recent years, the need for CFRP machining using lathes has also increased. Within previous investigations, the authors have already proposed Electric Discharge-Assisted Turning (EDAT) as a new processing method that combines atmospheric electrical discharge machining and conventional turning to reduce tool wear and residual fibers and burrs in turning CFRP. It is possible to cut carbon fibers using electrical energy, remove the cut carbon fibers along with the remaining matrix resin, and reduce the abrasive wear of cutting tools caused by carbon fibers. In this study, the authors explored the controllability of carbon fiber cutting depth through electric discharge, focusing on the impact of low voltage settings and widened discharge gaps. Parameters such as electrode material, shape, discharge voltage, frequency, discharge gap, duty ratio, and lathe setup were thoroughly investigated to elucidate their influence on the EDM (Electric Discharge Machining) process. Experiments were conducted using various combinations of feed rates and circumferential speeds. Consequently, the conditions for the discharge depth would be the shallowest, the residual fibers would be the shortest, and tool wear would be the lowest were investigated. Furthermore, the possibility of stable carbon-fiber cutting using an electric discharge at a lower voltage was confirmed. It demonstrated that the EDAT process could suppress the uncut fibers with fine surface quality and reduce the wear on the cutting edge and possibility of practical use of the EDAT under low voltage condition.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 37-43"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509373","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}

引用次数: 0

Assessing manufacturing agility: an updated state-of-the-art and operational insights

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.002

Asmae Bakry , Nicolas Sauzeat , Khaled Medini

引用次数: 0

A framework for digital assembly instructions as a step towards manufacturing inclusiveness

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.020

Yuchen Fan , Alessandro Simeone , Dario Antonelli , Alessandra Caggiano , Paolo C. Priarone , Luca Settineri

{"title":"A framework for digital assembly instructions as a step towards manufacturing inclusiveness","authors":"Yuchen Fan , Alessandro Simeone , Dario Antonelli , Alessandra Caggiano , Paolo C. Priarone , Luca Settineri","doi":"10.1016/j.procir.2025.01.020","DOIUrl":"10.1016/j.procir.2025.01.020","url":null,"abstract":"<div><div>Industrial manufacturing processes require precise understanding of instructions, which can be challenging for neurodiverse operators with reading difficulties. To bridge this gap, a digital instruction framework using object detection and natural language processing is proposed in this research. The framework uses an intelligent vision system to monitor task execution, coupled with the automatic generation of personalised voice instructions via large language models. This approach aims to improve accessibility and inclusivity in assembly lines. A case study on the assembly of a horizontal bare-shaft centrifugal pump demonstrates the effectiveness of the framework in reducing assembly errors and improving operational efficiency, making it particularly beneficial for neurodiverse individuals and promoting an inclusive work environment.</div><div><span><span><span><svg><path></path></svg><span><span>Download: <span>Download zip file (1MB)</span></span></span></span></span></span><span><span><span><svg><path></path></svg><span><span>Download: <span>Download Acrobat PDF file (449KB)</span></span></span></span></span></span><span><span><span><svg><path></path></svg><span><span>Download: <span>Download Word document (9MB)</span></span></span></span></span></span></div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 116-121"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510936","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}

引用次数: 0

An advanced method to assess mechanical filtering effect of tactile coordinate-measuring system in dimensional measurement of additive manufacturing parts

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.013

Weidong Liu, Xiao Chen, Wenhan Zeng, Dawei Tang, Paul J. Scott, Xiangqian Jane Jiang, Shan Lou

{"title":"An advanced method to assess mechanical filtering effect of tactile coordinate-measuring system in dimensional measurement of additive manufacturing parts","authors":"Weidong Liu, Xiao Chen, Wenhan Zeng, Dawei Tang, Paul J. Scott, Xiangqian Jane Jiang, Shan Lou","doi":"10.1016/j.procir.2025.01.013","DOIUrl":"10.1016/j.procir.2025.01.013","url":null,"abstract":"<div><div>The primary challenge faced by tactile coordinate-measuring systems (CMS) in dimension metrology of additive manufacturing (AM) components is the CMS mechanical filtering effect – an offset error caused by finite tip size working on the rough surface texture of AM parts. We previously simulated the mechanical filtering effect of physical measurements by applying morphological opening/closing operations to the surface profile. However, because this method only focuses on the profile, the impact of surrounding surface topography was ignored. Consequently, the dimension offset can be underestimated up to a quarter of the deviation as observed in physical measurements. In this work, we propose an advanced method to optimise and preprocess the surface data such that the simulation of 3D surface morphological filtering is enabled even using the profile algorithm. The results showed that the proposed method can compensate up to 94% of the dimension offset of the CMS mechanical filtering effect.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 74-79"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511914","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}

引用次数: 0

Numerical study of parameters affecting surface integrity in machine hammer peening of AISI 4140

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.018

Zhaoyu Chen , Matthias Hettig , Jens Sölter , Daniel Meyer

引用次数: 0

Life cycle assessment of cutting tool coatings

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.011

Ishrat Fairoz , Alborz Shokrani

{"title":"Life cycle assessment of cutting tool coatings","authors":"Ishrat Fairoz , Alborz Shokrani","doi":"10.1016/j.procir.2025.02.011","DOIUrl":"10.1016/j.procir.2025.02.011","url":null,"abstract":"<div><div>The majority of cutting tools used in industry are coated to improve their performance. Despite this, the environmental impacts of cutting tools and their coatings have been widely overlooked. This paper quantifies the embodied energy and Global Warming Potential (GWP) of cutting tools, with an emphasis on the coating process, by conducting a cradle-to-gate Life Cycle Assessment (LCA). Chemical Vapour Deposition (CVD) and Physical Vapour Deposition (PVD) coating methods have been evaluated, focusing on TiAlN, AlTiN, TiN, AlCrN, and uncoated tool cases. The embodied energy and GWP per unit area for the Cathodic Arc Evaporation PVD case varied between 7.75 – 67.16 Wh/mm<sup>2</sup> and 1.56 – 13.55 kgCO₂-eq/mm<sup>2</sup>, respectively, depending on the coating batch size. The Magnetron Sputter Deposition PVD case recorded the lowest embodied energy of 3.87 Wh/mm<sup>2</sup> and GWP of 0.78 kgCO₂-eq/mm<sup>2</sup>. The CVD deposition showed the highest embodied energy of 11.04 Wh/mm<sup>2</sup> and GWP of 2.56 kgCO₂-eq/mm<sup>2</sup> for a similar batch size. The analysis indicates that when coating emissions are compared to the carbide tool emissions, the increase in tool life due to coating outweighs the increase in emissions by coating the tool in most cases.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 55-60"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759645","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

Explainable AI for tool condition monitoring using Explainable Boosting Machine

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.025

Lorenzo Colantonio , Lucas Equeter , Pierre Dehombreux , François Ducobu

{"title":"Explainable AI for tool condition monitoring using Explainable Boosting Machine","authors":"Lorenzo Colantonio , Lucas Equeter , Pierre Dehombreux , François Ducobu","doi":"10.1016/j.procir.2025.02.025","DOIUrl":"10.1016/j.procir.2025.02.025","url":null,"abstract":"<div><div>Machining is one of the most critical sectors in the manufacturing industry, but the quality of the parts produced is highly dependent on the condition of the cutting tools. Poor management of tool replacement can lead to increased production costs and reduced product quality. Various methods exist to monitor tool wear and optimize their replacement. However, most of these methods rely on ”black-box” AI models, which significantly limit their practical use. In this article, a “glass-box” method called Explainable Boosting Machine (EBM) is used to monitor the degradation of cutting tools for the turning operation. This method aims to be as accurate as ”black-box” models while being fully interpretable. A comparison between the EBM method and an Artificial Neural Network (ANN) approach is presented to evaluate the performance differences between these two models. The results indicate that although the EBM model’s performance is slightly lower than the ANN’s, it remains adequate for monitoring tool wear, with an average R<sup>2</sup> score only 2% lower. The global and local explainability of the model is also presented. The global analysis demonstrates that the model uses coherent features for estimating tool wear, proving that it has successfully understood the wear phenomena being monitored. The local explainability highlights the contribution of each input to the tool wear estimation. These two explainability analyses show results that are consistent with the physical phenomenon of wear, for example, the model identifies that an increase in cutting force implies an increase in tool wear. This provides explainability for its use, improving trust in the monitoring method.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 138-143"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759653","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