Procedia CIRP最新文献_第3页

Optimal modelling of Colding parameters for round inserts with respect to tool use-time criteria

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.050

Juan Manuel Bello Bermejo , Berk Saatçi , Daniel Johansson , Sören Hägglund , Jan-Eric Ståhl , Christina Windmark

{"title":"Optimal modelling of Colding parameters for round inserts with respect to tool use-time criteria","authors":"Juan Manuel Bello Bermejo , Berk Saatçi , Daniel Johansson , Sören Hägglund , Jan-Eric Ståhl , Christina Windmark","doi":"10.1016/j.procir.2025.02.050","DOIUrl":"10.1016/j.procir.2025.02.050","url":null,"abstract":"<div><div>Optimization of machining processes, such as milling, is essential for industrial efficiency and product quality. To achieve greater efficiency, it is necessary to understand how tools wear down in different conditions in order to anticipate possible undesirable events like sudden breakage or unpredictable degradation. This study focuses on understanding tool wear in dry milling of compacted graphite iron (CGI) EN-GJV-450 using PVD-coated cemented carbide and cBN tools to predict tool life effectively. The research builds on the Colding model, an empirical framework for tool life estimation, by incorporating and comparing two chip thickness concepts in order to optimize the Colding model’s performance, maximum chip thickness (h<sub>max</sub>) and equivalent chip thickness (h<sub>e</sub>). Through systematic experimentation and modelling, this work has identified optimal conditions for tool life prediction, with h<sub>max</sub> offering a potentially resource-efficient cross-validation alternative aligned with sustainability goals. The results demonstrate that the optimized Colding model effectively predicts tool life for both coated cemented carbide and cBN cutting tools with round geometry in dry milling of CGI. The insights gained further enhance our understanding of the milling process and provide a solid foundation for selecting appropriate machining parameters to extend tool life and improve process efficiency.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 286-291"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759364","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

Experimental and numerical forming of sandwich structures consisting of thermoplastic laminates and soft-elastic foam

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.039

Philipp Kabala , Ralf Kraft , Elmar Schröder , André Hürkamp , Klaus Dröder

{"title":"Experimental and numerical forming of sandwich structures consisting of thermoplastic laminates and soft-elastic foam","authors":"Philipp Kabala , Ralf Kraft , Elmar Schröder , André Hürkamp , Klaus Dröder","doi":"10.1016/j.procir.2025.01.039","DOIUrl":"10.1016/j.procir.2025.01.039","url":null,"abstract":"<div><div>Sandwich structures have a pivotal role in the development of lightweight structures. In addition to their outstanding mechanical properties compared to monolithic materials, they offer high potential in integrating functions such as acoustic and thermal insulation. Depending on the requirements, the materials for the face sheets and the core can be varied. Typically, the core has high compressive and flexural stiffness, which makes it challenging to produce complex-shaped sandwich structures through a forming process without partially damaging the core. In this context, sandwich structures comprising a soft-elastic foam core and organic sheets as face sheets are of particular interest. The soft-elastic foam core allows for the integration of acoustic and thermal insulating properties while enabling low-damage forming. To this end, the influence of foam thickness and contour as well as the integration of vacuum-assistance in the forming process on the dimensional accuracy are experimentally analysed. Additionally, a model for simulating the forming process is developed and validated based on the dimensional accuracy.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 86-93"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509262","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

Integrating blockchain with digital product passports for managing reverse supply chain

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.036

Hanbing Xia , Jiahong Li , Qian (Jan) Li , Jelena Milisavljevic-Syed , Konstantinos Salonitis

引用次数: 0

On a heuristic evaluation system for Industry 5.0 with respect to interventions: the case of training in businesses

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.021

Alexios Papacharalampopoulos , Olga Maria Karagianni , Panagiotis Stavropoulos , Unai Ziarsolo , Peter Totterdill , Rosemary Exton , Steven Dhondt , Peter Oeij , Matteo Fedeli , Massimo Ippolito , Fabrizio Timo , Arturas Gumuliauskas , Dovilė Eitmantytė , Unai Elorza

{"title":"On a heuristic evaluation system for Industry 5.0 with respect to interventions: the case of training in businesses","authors":"Alexios Papacharalampopoulos , Olga Maria Karagianni , Panagiotis Stavropoulos , Unai Ziarsolo , Peter Totterdill , Rosemary Exton , Steven Dhondt , Peter Oeij , Matteo Fedeli , Massimo Ippolito , Fabrizio Timo , Arturas Gumuliauskas , Dovilė Eitmantytė , Unai Elorza","doi":"10.1016/j.procir.2025.01.021","DOIUrl":"10.1016/j.procir.2025.01.021","url":null,"abstract":"<div><div>Manufacturing has been undergoing many changes, with the latest one being the paradigm shift to Industry 5.0. In this long procedure, training is required at any level, from operators to managers. Thus, interventions must be made so that Teaching and Learning Factories are upgraded towards integrating Industry 5.0. To this end, an evaluation system has to be made, assessing the feasibility of the three pillars’ integration. This procedure can concern a qualitative assessment (or a quantitative one) of the feasibility and the other implicated concepts, such as upskilling. At the same time, multilevel metrics are relevant, such as Key Performance Indicators (KPIs) related to company practices, manufacturing itself, jobs and trainees. Herein, a summative differential evaluation scheme, based on heuristic aspects, is explored, under the framework of the aforementioned TLF interventions. Examples of companies’ ex-ante characterization are given. Then, potential extensions are being discussed towards achieving formative evaluation and potentially towards KPIs.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 122-128"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510937","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

Generative assistant for digital twin simulations

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.01.022

Pedro Antonio Boareto , Eduardo de Freitas Rocha Loures , Eduardo Alves Portela Santos , Fernando Deschamps

引用次数: 0

Data-Driven Approach to Identify Acoustic Emission Source Motion and Positioning Effects in Laser Powder Bed Fusion with Frequency Analysis 利用频率分析确定激光粉末床熔合中的声发射源运动和定位效应的数据驱动方法

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.091

Ming Wu , Shivam Shukla , Bey Vrancken , Mathias Verbeke , Peter Karsmakers

{"title":"Data-Driven Approach to Identify Acoustic Emission Source Motion and Positioning Effects in Laser Powder Bed Fusion with Frequency Analysis","authors":"Ming Wu , Shivam Shukla , Bey Vrancken , Mathias Verbeke , Peter Karsmakers","doi":"10.1016/j.procir.2025.02.091","DOIUrl":"10.1016/j.procir.2025.02.091","url":null,"abstract":"<div><div>Acoustic signal analysis is a common technique for in-process monitoring of laser powder bed fusion (LPBF) to detect defects. However, the propagation of sound waves from the melting pool to sensors can introduce variability in the perceived acoustic signal due to the relative positioning between sensors and the melting pool. This study investigates this phenomenon using a data-driven approach. Sensors, both structural and airborne, not only capture process dynamics but also contextual factors in manufacturing, such as laser movement patterns, baseplate thickness, and printing positions. The frequency data derived from Fourier transforms of the acoustic signals per printing vector were employed as inputs for a 1D-Convolutional Neural Network (CNN) model that can classify these contextual factors. By leveraging Gradient-weighted Class Activation Mapping (Grad-CAM), frequencies crucial for printing positions and acoustic emission source dynamics were identified. The insights obtained from this research aid in developing robust acoustic monitoring systems for LPBF.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 531-536"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759120","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

Modeling the Residual Stress Evolution in Wire-Arc Directed Energy Deposition with Interlayer Machining Interventions 带有层间加工干预的线弧定向能沉积残余应力演变建模

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.069

Akshar Kota , Asif Rashid , Shreyes N. Melkote

引用次数: 0

Seamless Edge-Server Collaboration for Real-Time Digital Twin in Machining Process 边缘与服务器无缝协作，在加工过程中实现实时数字孪生

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.070

Cemile Besirova , Yigit Anil Yucesan , Mehmet Alper Sahin , Ugur Uresin , Ismail Lazoglu

{"title":"Seamless Edge-Server Collaboration for Real-Time Digital Twin in Machining Process","authors":"Cemile Besirova , Yigit Anil Yucesan , Mehmet Alper Sahin , Ugur Uresin , Ismail Lazoglu","doi":"10.1016/j.procir.2025.02.070","DOIUrl":"10.1016/j.procir.2025.02.070","url":null,"abstract":"<div><div>With the rise of smart manufacturing systems aimed at creating efficient and cost-effective environments for mass production, various process data acquisition techniques and data models have been developed for CNC manufacturing to enable the creation of Digital Twin (DT) models. This article proposes an edge-server collaborative data architecture collecting crucial CNC machine data, including servo motor parameters, cutting tool information, and sensor data such as vibration, pressure, and temperature. The architecture is designed to process real-time data during mass production with minimal latency, considering the high-speed nature of machining processes, while also storing historical data in a Data Lake for the development of AI models. An infrastructure for Digital Twin of the brake disc machining process is created, a particularly challenging task due to the complex geometry of the disc and the unique material characteristics of cast iron. During machining, sudden tool failures or even brake disc breakages can occur due to the heterogeneous nature of cast iron. Given that brake discs are critical safety components in automobiles, monitoring process data linked to the cast iron and cutting tool supply chain during mass production is essential. Digital Shadow serves as a foundation for real-time anomaly detection, predictive maintenance, and tool wear prediction models. This paper also proposes several deterministic modeling approaches for real-time anomaly detection, predictive maintenance, and remaining useful life predictions for cutting tools. These models leverage machine data such as spindle and feed-drive motor currents, load, and positional errors during brake disc machining, in combination with sensor data, including temperature, pressure, electrical power, and vibration, to enhance the monitoring and optimization of the machining process.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 406-411"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759208","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

Process analysis and tool wear monitoring with spindle motor power and current signals in longitudinal and face turning

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.019

Sangil Han , Emilie Viéville , Mehmet Cici , Thierry André , Frédéric Valiorgue , Joël Rech

{"title":"Process analysis and tool wear monitoring with spindle motor power and current signals in longitudinal and face turning","authors":"Sangil Han , Emilie Viéville , Mehmet Cici , Thierry André , Frédéric Valiorgue , Joël Rech","doi":"10.1016/j.procir.2025.02.019","DOIUrl":"10.1016/j.procir.2025.02.019","url":null,"abstract":"<div><div>This study presents process analysis and tool wear monitoring using spindle motor power and current signals in longitudinal and face turning. To achieve these tasks, longitudinal and face turnings with different levels of flank wear (new, VB150, VB300) were performed. In longitudinal turning, two workpieces with different diameters (Ø80 and Ø45 mm) were used. In face turning, two feed directions (uphill and downhill) were attempted. The spindle motor power, current and speed, as well as cutting forces were recorded in real time during turning. In longitudinal turning, the spindle motor power was found to be sensitive to the level of flank wear, which can be used for tool wear monitoring. Reliable cutting force prediction from spindle motor power (air cutting power + net cutting power) is also shown. In face turning, the tool exit time in the spindle motor power signal was found to be sensitive to tool geometry changes due to wear, suggesting that it can be used for tool wear monitoring. The spindle motor current and speed signals for all turning cases are also analyzed. The influence of the corresponding three-phase spindle motor connections (star and delta) on tool wear monitoring is discussed.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 102-107"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759550","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

A new coolant supply for solid end mills in HRSA alloy machining

Procedia CIRP Pub Date : 2025-01-01 DOI: 10.1016/j.procir.2025.02.012

Gaetano Massimo Pittalà

引用次数: 0