Procedia CIRPPub Date : 2026-01-01Epub Date: 2026-05-30DOI: 10.1016/j.procir.2026.05.076
Emeka Igwe , Claudio Favi , Marco Marconi , Marco Mandolini , Anoop Desai
{"title":"Engineering design for disassembly: test of a time-based methodology and the LeanDfD software tool","authors":"Emeka Igwe , Claudio Favi , Marco Marconi , Marco Mandolini , Anoop Desai","doi":"10.1016/j.procir.2026.05.076","DOIUrl":"10.1016/j.procir.2026.05.076","url":null,"abstract":"<div><div>This study evaluates the performance of a time-based methodology and the associated software tool (i.e., LeanDfD) developed for assessing product disassemblability. LeanDfD enables design engineers to analyze disassembly sequences and times, and to derive targeted redesign recommendations to enhance disassembly efficiency. The methodology is applied to two case studies: a low-complexity electric blender and a high-complexity soda vending machine. Tool-generated disassembly time estimates are validated against experimental measurements, and the impact of implementing LeanDfD’s redesign suggestions is assessed. Results indicate that LeanDfD predicts disassembly times for the electric blender with an average error of 8%. Furthermore, applying LeanDfD-based redesign recommendations to the soda vending machine results in a roughly 20% reduction in disassembly time.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"140 ","pages":"Pages 449-454"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148060118","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: 2026-05-30DOI: 10.1016/j.procir.2026.05.059
Sareh Shahrabifarahani , Sami Kara , Michaël Lejeune
{"title":"Aligning Green Certifications with Planetary Boundaries","authors":"Sareh Shahrabifarahani , Sami Kara , Michaël Lejeune","doi":"10.1016/j.procir.2026.05.059","DOIUrl":"10.1016/j.procir.2026.05.059","url":null,"abstract":"<div><div>Green certifications are credentials awarded to businesses, products, or buildings that meet a specific environmental impact profile. However, they mostly remain static, greenhouse-gas centric, and improvement-based, offering limited guidance to organisations targeting absolute sustainability. In this study, we propose a novel framework for green certification grounded in the planetary boundary framework, where sustainability performance is assessed in absolute terms by allocating a share of the Earth’s safe operating space based on projected demand. We couple an elasticity-based demand model to dynamic boundary budgets, yielding multi-boundary thresholds that are calibrated based on demand changes. Applied to milled rice, we downscale the allocated food-system planetary boundaries to the milled rice level and derive per-tonne intensity green boundaries for relevant planetary boundaries with respect to its demand projection. Our analysis reframes green certifications from relative improvements to absolute sustainable boundaries, providing organisations with quantified guardrails and a practicable pathway to align with the planetary boundaries over time.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"140 ","pages":"Pages 347-352"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148060188","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: 2026-05-30DOI: 10.1016/j.procir.2026.05.057
Aleksandra Naumann , Gabriela Ventura Silva , Christoph Herrmann
{"title":"Data-driven decision support and control for adaptive circular production of plastics by injection molding","authors":"Aleksandra Naumann , Gabriela Ventura Silva , Christoph Herrmann","doi":"10.1016/j.procir.2026.05.057","DOIUrl":"10.1016/j.procir.2026.05.057","url":null,"abstract":"<div><div>As the demand for plastic products and the resulting waste increases, sustainable practices become more crucial to enable an efficient use of resources. In this context, an integration of secondary material can offer both environmental and economic benefits. While the integration contributes to reducing raw material usage, challenges remain, particularly regarding the mechanical performance of recycled plastics. With different initial materials, e.g., primary material, secondary post-production, and secondary post-consumer material, the properties can not only deteriorate but also fluctuate more. To promote circular production, this work introduces a decision support system, specifically designed to address the quality fluctuations resulting from secondary material use by determining suitable rates of recycled material content for both postproduction and post-consumer materials in injection molding. To maximize the share of recycled material in different products that use the same initial material, multiple quality parameters and ranges are considered based on product requirements. Additionally, the proposed system offers a feedforward and feedback control to optimize the process parameters of the injection molding. It uses configurable KPIs to balance environmental and economic goals, ensuring material loops are maintained without compromising the reliability of the product properties. The proposed system supports circular production by enabling a data-driven, quality-oriented use of recycled materials in polymer processing. Because of the universal nature of the approach, it is transferable to other applications.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"140 ","pages":"Pages 335-340"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148060196","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.098
Nicklas Gerhard , Gustavo Tambarussi Zucoloto , Markus Meurer , Thomas Bergs
{"title":"Numerical and Experimental Calibration of a Friction Model considering Heat transfer","authors":"Nicklas Gerhard , Gustavo Tambarussi Zucoloto , Markus Meurer , Thomas Bergs","doi":"10.1016/j.procir.2026.03.098","DOIUrl":"10.1016/j.procir.2026.03.098","url":null,"abstract":"<div><div>In the machining of safety-critical components made from nickel-based alloys, ceramic cutting tools are widely used due to their high performance at elevated cutting speeds and process-induced temperatures. A key challenge in simulating thermal loads during machining arises from the need to model friction behavior and the resulting heat transfer at the tool–workpiece interface. Therefore, this study presents the calibration of a friction model in combination with a contact heat transfer model. To this end, high-speed friction experiments up to 500 m/min were carried out on a lathe. Thermographic and pyrometric measurements were used to capture surface temperature fields, while cutting forces were recorded using a dynamometer. The friction and heat transfer parameters were calibrated using an inverse approach based on finite element simulations utilizing a 3D Lagrangian model. The calibration accounted for the effects of relative speed, temperature, and contact pressure. The results demonstrate that the developed model enables accurate estimation of friction coefficients, with a mean error margin of 7 %, under high relative speeds and normal forces. Moreover, the calibrated heat transfer coefficient enables the estimation of friction-induced temperature rise in the workpiece. This methodology provides a basis for the simulation of thermomechanical loads in machining processes involving ceramic tools.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 7-12"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202427","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.053
Simon Jaquet , Jonas Baumann , Dirk Biermann
{"title":"Process Stabilization through Cryogenically Generated Support Structures and its Impact on Dimensional Accuracy in Milling Thin-Walled Components","authors":"Simon Jaquet , Jonas Baumann , Dirk Biermann","doi":"10.1016/j.procir.2026.03.053","DOIUrl":"10.1016/j.procir.2026.03.053","url":null,"abstract":"<div><div>When milling thin-walled components, their low rigidity often leads to undesirable dynamic effects such as chatter. Cryogenically generated support structures, formed by expanding liquid CO₂ and injecting a coolant-lubricant emulsion, create a temporary ice layer that stiffens and damps the workpiece during machining. While previous studies included analogy tests and initial milling experiments with one process configuration, a broader and systematic evaluation has not yet been carried out. This study conducts systematic milling experiments to directly evaluate the influence of cryogenic ice layers on process dynamics, examining how they can enhance stability while also introducing challenges such as thermal contraction and component distortion. In addition to process stability, the study analyzes component contour deviations as a measure of thermally induced distortion, while surface quality is evaluated as a direct indicator of dynamic instabilities. The results provide new insights into the interaction between cryogenic support structures and thermally induced effects, advancing the understanding of their potential in stabilizing thin-walled component milling.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 55-60"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202424","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.044
Jean-Philippe Leclair , Guillaume Villeneuve , Seyed Ali Delbari , Emmanuel Brousseau , Lucas A. Hof
{"title":"Leveraging Spark Assisted Chemical Engraving (SACE) for High-Precision Deep Cutting of Fused Silica","authors":"Jean-Philippe Leclair , Guillaume Villeneuve , Seyed Ali Delbari , Emmanuel Brousseau , Lucas A. Hof","doi":"10.1016/j.procir.2026.03.044","DOIUrl":"10.1016/j.procir.2026.03.044","url":null,"abstract":"<div><div>Glass is a key material in microsystems, optics, and bioanalytical devices due to its excellent chemical stability, optical transparency, and thermal resistance. Many of these applications require high-depth, high-precision microstructures such as channels, cavities, and through-holes. However, machining glass remains a major challenge due to its brittle and chemically inert nature, which limits the applicability of conventional mechanical or chemical processes. Spark Assisted Chemical Engraving (SACE) is a hybrid thermochemical process that enables localized material removal in glass and ceramics. It stands out as a promising process for fabricating complex geometries in hard and brittle materials. However, its efficiency decreases sharply beyond cutting depths of 300 µm due to gas film instability, byproduct accumulation, and limited electrolyte circulation. Achieving deeper cuts while maintaining surface quality and accuracy remains difficult. This work investigates process optimization strategies for achieving deep, high-precision cuts in fused silica, reaching total depths up to 1.59 mm using a multi-pass strategy. This represents a 3- to 5-fold increase in achievable cutting depth compared to standard absolute depth limits reported in literature. Feed rate (<em>f</em>), depth of cut (<em>p</em>), voltage, and tool rotation were varied; surface roughness, cut taper, and dimensional accuracy were measured. Results show that high <em>f</em> and low <em>p</em> (at constant <em>f × p</em>) enable stable deep cutting with minimal taper and excellent surface quality, particularly at 10,000 rpm under continuous electrolyte flow. Applied potentials in the 32 V to 37 V range provided a good balance between material removal rate and surface quality for 300 µm fluted tools. These findings extend the applicability of SACE to deep, millimeter-scale machining of fused silica components with controlled geometry and sub-micrometer surface finish.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 574-579"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202458","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.076
Darshan S , K.A. Desai , Abir Bhattacharyya
{"title":"Investigating the Correlation Between Interacting Fiber Count and Cutting Forces during End Milling of CFRP Composites","authors":"Darshan S , K.A. Desai , Abir Bhattacharyya","doi":"10.1016/j.procir.2026.03.076","DOIUrl":"10.1016/j.procir.2026.03.076","url":null,"abstract":"<div><div>Fiber orientation is an important parameter influencing chip geometry and cutting forces during the end milling of Carbon Fiber Reinforced Polymer (CFRP) composites. The engagement pattern, engaged length, and number of interacting fibers vary considerably with cutting conditions and fiber orientation in the CFRP chip. Previous studies have examined the effects of fiber orientation and engaged length on cutting forces, but the influence of fiber count has not been analyzed. The present work develops a geometrical model to introduce the Instantaneous Interacting Fiber Count (IIFC), which quantifies the number of interacting fibers with the cutting edge during end milling. The statistical association between IIFC and the resultant cutting force is examined using Spearman’s rank correlation analysis for the common fiber orientations 0°, 45°, 90°, and 135° reported in the literature. It has been observed that IIFC shows a significant association with cutting forces throughout the engagement period for both 0° and 45° fiber orientations. However, a moderate correlation is observed across select engagement regions for 90° and 135° fiber orientation. The study demonstrates that IIFC can accurately capture the interacting fiber count and effectively represent cutting mechanics during the end milling of CFRP composites.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 173-178"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202512","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.102
Pascal Volke , Justin Kopp , Silas Resing , Jannis Saelzer , Andreas Zabel , Frank Walther
{"title":"Determination of Transient and Nonlinear Tool Wear Development in Orthogonal Turning of AISI 304 Steel","authors":"Pascal Volke , Justin Kopp , Silas Resing , Jannis Saelzer , Andreas Zabel , Frank Walther","doi":"10.1016/j.procir.2026.03.102","DOIUrl":"10.1016/j.procir.2026.03.102","url":null,"abstract":"<div><div>Sustainable manufacturing requires reliable strategies to extend the service life of cutting tools and reduce the consumption of critical raw materials such as cobalt. When machining difficult-to-cut materials like AISI 304 stainless steel, low thermal conductivity leads to high thermomechanical loads and accelerated tool wear. Conventional white-box models provide insights into chip formation and thermomechanical loads. Such models are capable of predicting linear and continuously progressing tool wear behaviour. However, they have limitations in capturing the highly nonlinear tool wear development under real cutting conditions. To address this gap, this paper presents black-box modelling approaches as a basis for a grey-box model that combines white-box and black-box concepts to predict previously unpredicted nonlinear tool wear. Experimental wear data are analysed using black-box-based image segmentation to derive wear curves throughout the tool’s service life. Additionally, an automated machine stop is implemented on a production lathe to enable ex-situ analysis at critical loads. A Field Programmable Gate Array (FPGA)-based script processes the recorded forces in real-time, while a rule-based detection algorithm evaluates maximum and mean cutting forces to stop the machine tool upon reaching critical loads. Furthermore, a Long Short-Term Memory (LSTM)-autoencoder was implemented as a black-box approach for data-driven anomaly detection. By learning characteristic patterns in the cutting force signal, it enables adaptive decisions without predefined thresholds. Although transient wear could not yet be distinguished more reliably than by rule-based monitoring, the method highlights the potential of black-box modelling to capture complex process dynamics using data-driven approaches.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 185-190"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202514","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.066
Juan Sebastian Palomeque Vargas , Monika Kipp , Jonas Frederik Zajaczkowski , Ingor Baumann , Wolfgang Tillmann , Dirk Biermann
{"title":"Analogy Dressing Investigation for the Evaluation of the Behavior of Cold Gas Sprayed cBN-Copper Coatings for Future Grinding Applications","authors":"Juan Sebastian Palomeque Vargas , Monika Kipp , Jonas Frederik Zajaczkowski , Ingor Baumann , Wolfgang Tillmann , Dirk Biermann","doi":"10.1016/j.procir.2026.03.066","DOIUrl":"10.1016/j.procir.2026.03.066","url":null,"abstract":"<div><div>High-pressure cold gas spraying allows the deposition of abrasive coatings at comparatively low temperatures, in contrast to thermal processes such as plasma spraying or high velocity oxy-fuel spraying. Using this technology focuses on the objective of manufacturing abrasive coatings for flexible, task-specific grinding tools. However, their suitability for grinding applications must first be fundamentally evaluated and analysed. Hence, in this work, cBN-copper coatings were produced in the form of flat samples, which allow a fundamental investigation of their behavior during the conditioning process. In this investigation, an analogy dressing test was developed with the aim to reproduce the kinematic conditions occurring during a conventional dressing process with rotating tools on flat coated samples. The test setup makes it possible to vary the main process parameters, such as dressing speed ratio, overlapping rate, and depth of cut, while recording resulting process forces. The surfaces resulting from the abrasive coating were then analysed to evaluate the condition of the cBN grains within the copper bond. Moreover, the dressing ratio was calculated to quantify the relationship between the material removed from the abrasive coatings and the wear of the dressing tool. These findings provide the basis for assessing the suitability of the abrasive coatings for future grinding applications.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 292-297"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202623","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: 2026-06-10DOI: 10.1016/j.procir.2026.03.033
Yigit Karpat , Ahmet Bedirhan Soylu
{"title":"Image-Based Monitoring of Tool Wear in Micro End Milling of Hardened Steel","authors":"Yigit Karpat , Ahmet Bedirhan Soylu","doi":"10.1016/j.procir.2026.03.033","DOIUrl":"10.1016/j.procir.2026.03.033","url":null,"abstract":"<div><div>Micro milling is a flexible process that allows the fabrication of micro molds using end mills with diameters typically below 0.5 mm. Mold materials are commonly selected from steels, such as AISI 420, with hardness values ranging from 55 to 65 HRC. Consequently, tool wear presents a significant challenge during micro milling operations. Monitoring tool wear can be accomplished via direct or indirect methods. In this study, a direct approach is employed to measure wear in micro end mills. Images of bottom view of the micro end mill are captured using a microscope integrated into the CNC micro milling center, enabling image acquisition without removing the micro end mill from the tool holder. Advanced image processing techniques are utilized to identify and quantify the edge radius of the end mill as the cutting tool wears out, which may serve as input for the remaining useful life (RUL) prediction algorithms. The experimental findings demonstrate the associated challenges in calculating the edge radii of micro end mills during the machining of hardened steel components.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"141 ","pages":"Pages 424-429"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148202720","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}