Kuo-Ching Ying , Shih-Wei Lin , Pourya Pourhejazy , Fei-Huan Lee
{"title":"Production scheduling of additively manufactured metal parts","authors":"Kuo-Ching Ying , Shih-Wei Lin , Pourya Pourhejazy , Fei-Huan Lee","doi":"10.1016/j.cirpj.2025.01.005","DOIUrl":"10.1016/j.cirpj.2025.01.005","url":null,"abstract":"<div><div>The production of metal products is one of the main areas where supply chains benefit from adopting additive manufacturing (AM). Optimizing the production process facilitates the widespread adoption of AM by improving know-how and reducing costs. This study offers a twofold contribution to facilitate the implementation of Additive Manufacturing Scheduling Problems (AMSPs) for producing metal parts. First, two mathematical formulations are proposed to enable the use of commercial solvers to optimize small- and medium-sized AMSPs. Second, a highly competitive solution algorithm called Tweaked Iterative Beam Search (TIBS) is developed to find (near-) optimal solutions to industry-scale problems. A total of 225 instances of various workloads are considered for numerical experiments, and the algorithm’s performance is evaluated, comparing it with the baselines. In 165 small and medium-sized instances, TIBS yielded 71 optimal solutions and 106 best-found solutions. For large-scale cases, all of the best-found solutions were obtained by TIBS. The statistical results support the significance of the outcomes in the optimization performance.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 100-115"},"PeriodicalIF":4.6,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jannik Röttger , Matthias Baumann , Frank Bauer , Peter Breuer , Thomas Bergs
{"title":"Explanation of micro lead generation in external cylindrical plunge grinding of radial shaft sealing counterfaces","authors":"Jannik Röttger , Matthias Baumann , Frank Bauer , Peter Breuer , Thomas Bergs","doi":"10.1016/j.cirpj.2025.01.001","DOIUrl":"10.1016/j.cirpj.2025.01.001","url":null,"abstract":"<div><div>This article examines the generation of micro lead during cylindrical plunge grinding of sealing counterfaces for rotary shaft seals. Micro lead can cause fluid leakage through the sealing contact, impacting sealing performance. Preliminary investigations indicate that dressing parameters influence micro lead formation. This publication presents new insights into this phenomenon, aiming to enhance industrial sealing reliability by optimizing sealing counterfaces for demanding applications, such as E-powertrains with high sliding speeds and temperatures. The presented findings underscore the value of using specifically optimized grinding and dressing parameters for the manufacturing of sealing counterfaces.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 78-89"},"PeriodicalIF":4.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The wear analysis and life prediction of Cr12MoV alloy steel hammer dies during the radial forging process","authors":"Chenxi Bao, Yuzhao Yang, Cheng Xu","doi":"10.1016/j.cirpj.2025.01.002","DOIUrl":"10.1016/j.cirpj.2025.01.002","url":null,"abstract":"<div><div>Radial forging is widely utilized in defense, aerospace, and automotive industries. However, understanding of hammer die wear during radial forging traditionally relies heavily on practical experience and lacks detailed research. This paper proposed a method for predicting hammer die failure during radial forging by using finite element simulations combined with the Archard wear model. The feasibility of this method was validated through profilometer measurements and scanning electron microscopy (SEM) observations of the worn hammer dies obtained from practical production. Through the mutual validation of simulations and experiments, the study found that when the hammer die material is specially treated Cr12MoV alloy steel, under the investigated operating conditions, the maximum surface wear of the hammer die exceeded 0.4 mm after approximately 13 cumulative hours of operation. This wear significantly affected the formation of the internal profile of the workpiece, at which point the hammer die was considered to have failed. The study deepens the understanding of the details of hammer die wear in the radial forging process and fills a gap in the prediction of hammer die failure during this process.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 63-77"},"PeriodicalIF":4.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haiming Zhang , Jianzhong Yang , Song Gao , Wanqiang Zhu , Chenglei Zhang
{"title":"Arc length–angle space-based overlap-free asymmetric corner smoothing method for five-axis toolpaths","authors":"Haiming Zhang , Jianzhong Yang , Song Gao , Wanqiang Zhu , Chenglei Zhang","doi":"10.1016/j.cirpj.2024.12.009","DOIUrl":"10.1016/j.cirpj.2024.12.009","url":null,"abstract":"<div><div>Smoothing of linear toolpaths is critical to ensure quality and efficiency in computer numerical control (CNC) machining, particularly in 5-axis machining. However, existing corner smoothing methods often impose overly restrictive constraints on the transition lengths at corners, increasing curvature extremes and reducing the feedrate. To address this issue, this paper presents a five-axis toolpath asymmetric corner smoothing method based on the arc length–angle space. First, an arc length–angle space analysis method is introduced that can synchronize the tool tip position and tool orientation, decoupling the tool tip position and tool orientation smoothing processes. The tool tip position is smoothed with an asymmetric Pythagorean-hodograph (PH) curve in the workpiece coordinate system, whereas the tool orientation is smoothed with an asymmetric B-spline curve in the arc length–angle space. Then, to prevent overlap of adjacent transition curves, transition length adjustment strategies in the workpiece coordinate system and arc length–angle space are proposed to improve the corner feedrate within the set approximate error range. The simulation and machining experiment results show that, compared with existing asymmetric smoothing methods, the proposed method generates smoother toolpaths and achieves higher machining efficiency.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 42-62"},"PeriodicalIF":4.6,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Precise modeling of cutting forces based on domain adaptation extreme learning machine under small sample conditions","authors":"Shaonan Zhang , Liangshan Xiong","doi":"10.1016/j.cirpj.2024.12.005","DOIUrl":"10.1016/j.cirpj.2024.12.005","url":null,"abstract":"<div><div>Given the high cost and complexity associated with acquiring a large number of experimental data of cutting forces, coupled with the challenges of overfitting and weak generalization in machine learning models for cutting forces prediction under small sample conditions, we propose two methods that employ the domain adaptation extreme learning machine (DAELM) algorithms to establish precise prediction models of cutting forces in small sample scenarios. In these methods, the large sample theoretical dataset of cutting forces calculated by parallel-sided shear zone model is used as the source domain dataset, while the small sample experimental dataset of cutting forces obtained by metal cutting experiments serves as the target domain dataset, and the cutting forces prediction models based on transfer learning are established employing DAELM algorithms. Applying these methods, precise prediction models of cutting forces in orthogonal cutting of 6061-T6 aluminum alloy have been established. Compared to the cutting force prediction models established using traditional neural network algorithms, those established using the proposed methods exhibit higher prediction precision and stronger generalization ability, even when only a small sample experimental dataset of cutting forces is available. The research findings can be applied to the transfer learning-based precise modeling of other continuously varying physical quantities in metal cutting processes under small sample conditions.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 32-41"},"PeriodicalIF":4.6,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of forming parameters on the mechanical properties of clinched joint with rectangle punch","authors":"Chao Chen , Yuxin Yin , Yishen Chen , Xiangkun Ran","doi":"10.1016/j.cirpj.2024.12.008","DOIUrl":"10.1016/j.cirpj.2024.12.008","url":null,"abstract":"<div><div>The emergence of advanced lightweight materials has not only provided more options for industrial lightweighting, but also imposes higher demands on joining technologies. The clinching process with rectangle punch (CRP) performs well in joining steel or other materials with poor plasticity. In the present paper, AA5182-O sheets were chosen as the research material. The microscopic mechanisms involved in the creation of clinched joints through CRP were examined. An in-depth investigation into the influence of varying forming force, forming speed, and punching angle on the shear strength and failure modes of these joints was conducted. In conclusion, enhancing the forming force positively impacts the shear strength. The failure mode transitions from the separation failure mode to the neck fracture mode. At a forming force of 35 kN, the peak shear strength achieved was 2324 N. The forming speed exhibited minimal influence on the failure mechanism. The orientation of the joint's longer side relative to the shear force direction significantly affects the failure mechanism, when positioned perpendicularly, the shear strength reached the maximum, which was approximately 1.68 times greater compared to a parallel orientation. During the failure process, the interlocking region was subjected to shear force before the neck region and fractured first.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 1-13"},"PeriodicalIF":4.6,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A microstructure-integrated acoustoplastic constitutive model for ultrasonic-assisted machining of Ti6Al4V alloy","authors":"H. Bakhshan , E. Oñate , J.M Carbonell","doi":"10.1016/j.cirpj.2024.12.007","DOIUrl":"10.1016/j.cirpj.2024.12.007","url":null,"abstract":"<div><div>The ultrasonic-assisted machining (UAM) technology, compared to conventional machining (CM), has been proven to be an effective method for machining the difficult-to-cut Ti6Al4V alloy (TC4). In the UAM process, the evolution mechanism of microstructure and hardness directly influences the material behavior and consequently, mechanical response, which remains unrevealed from a computational perspective. To address this, in this study, we present a developed modeling technique that combines the Particle Finite Element Method (PFEM) with incremental homogeneous field distributions in a coupled manner to effectively predict the macro and micro response of the material in both CM and UAM processes. First, the evolution of microstructural parameters, including immobile dislocation density (IDD) and mobile dislocation density (MDD), dynamic recrystallization (DRx) grain size, and hardness, is incrementally developed and incorporated into the PFEM using internal state variables. The Johnson–Mehl–Avrami–Kolmogorov (JMAK) model and Hall–Petch equation are employed for predicting grain size and hardness, respectively. Second, A microstructure-integrated acoustoplastic constitutive model is developed based on a modified Johnson–Cook (JC) model and average grain size (AGS) predictions dependent on ultrasonic vibration (UV) parameters. The proposed model is embedded into the PFEM to conduct a thermo-mechanical analysis capable of capturing the TC4 response, particularly in terms of serrated chip formation during CM and UAM processes. The model’s validity is checked through comparison with available experimental results in terms of chip shapes. Lastly, the predicted AGS and hardness in serrated chips and machined surface are compared with experimental data, showing good agreement. This suggests that the proposed acoustoplastic constitutive model, coupled with microstructure and UV parameters, can reliably analyze the CM and UAM processes of the TC4.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 14-31"},"PeriodicalIF":4.6,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “Predictive maintenance in Industry 4.0: A systematic multi-sector mapping” [CIRP J Manuf Sci Technol (2024) 80-103]","authors":"Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis","doi":"10.1016/j.cirpj.2024.10.013","DOIUrl":"10.1016/j.cirpj.2024.10.013","url":null,"abstract":"","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Page 420"},"PeriodicalIF":4.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pooja Sarkar , Surjya Kanta Pal , Barbara Shollock , Anandaroop Bhattacharya
{"title":"Controlling shape, size, and surface roughness of aluminum cold plate fabricated via single-step sub-surface friction stir channeling for battery pack cooling","authors":"Pooja Sarkar , Surjya Kanta Pal , Barbara Shollock , Anandaroop Bhattacharya","doi":"10.1016/j.cirpj.2024.11.007","DOIUrl":"10.1016/j.cirpj.2024.11.007","url":null,"abstract":"<div><div>The Battery Thermal Management System rely heavily on cold plates. Manufacturing cost effective, highly productive cold plates having integrated channels is promising solution for thermal management. Friction Stir Channeling is a newly developed and promising manufacturing process for the formation of integrated functional channels on metal blocks for cold plate applications. This research presents the solution to control over channel surface roughness, catering to thermal management system requirements, and shows that it is achievable by manipulating factors like heat input, plasticization effect, and process pitch (<em>v</em>/ω). The study establishes the correlations between important channel features and secondary parameters like pseudo heat index (PHI), flow stress (σ<sub>f</sub>), and changes in thermal history. Notably, the study highlights the pivotal role of channel roughness as a key determinant of corrosion initiation within the channel through an electrochemical corrosion test. Additionally, the FSC process is found to impart lower compressive residual stresses adding to the advantages of the process.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"56 ","pages":"Pages 18-34"},"PeriodicalIF":4.6,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marc Raffestin , Mikhaïl Guskov , Philippe Lorong , Cyrille Urville
{"title":"On the use of modal works of cutting forces to optimize machining conditions in the presence of vibrations","authors":"Marc Raffestin , Mikhaïl Guskov , Philippe Lorong , Cyrille Urville","doi":"10.1016/j.cirpj.2024.11.002","DOIUrl":"10.1016/j.cirpj.2024.11.002","url":null,"abstract":"<div><div>The use of Virtual Machining models may be a valuable approach in the designing stage of a machining operation as long as the models are sufficiently accurate. When vibration risks are suspected, stability analysis approaches to predict regenerative chatter phenomena are generally used. However, although these approaches, when applicable, allow efficient numerical optimization of the process around an operating point, they often require other strong assumptions such as neglecting transient phenomena or oversimplifying kinematics. On the other hand, time domain approaches with detailed matter removal modelling allow to monitor the continuous evolution of cutting conditions and represent various phenomena that the models can reproduce (regenerative chatter, forced vibrations, non-linear behaviours). The amount of data produced is, however, considerable and often costly to analyse. It may therefore be interesting to deduce, from these data, scalar indicators allowing easier and more relevant analysis of the simulation results.</div><div>In this work, the modal work of the cutting forces upon the workpiece vibratory displacements is proposed as an indicator to discriminate different tool paths. A one degree of freedom theoretical problem and a face milling operation on extruded aluminum profiles extracted from automotive structural part are used to explain and show the relevance of such indicator.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"56 ","pages":"Pages 1-17"},"PeriodicalIF":4.6,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}