{"title":"Low frequency feed modulation assisted milling for chatter avoidance","authors":"Yutaro Kawana , Seyed Mahmood Shantiaeezade , Burak Sencer (2) , Ryosuke Ikeda , Norikazu Suzuki (2)","doi":"10.1016/j.cirp.2025.04.057","DOIUrl":"10.1016/j.cirp.2025.04.057","url":null,"abstract":"<div><div>This paper presents a low-frequency vibration assisted machining strategy to improve dynamic stability of milling operations. Machine tool feed-drives are utilized to introduce low-frequency and low-amplitude feed modulations that are used to control tool’s cutting-edge engagement. The pitch angle of a tool can be altered to effectively realize variable pitch cutting kinematics. Feed modulation signal is automatically adjusted to suppress chatter vibrations on-the-fly. Experimental results show that a conventional 4-flute cutter can be transformed to cut with 3 or less teeth with variable pitch arrangement to improve both the asymptotic chatter stability limit and the lobe structure to maximize productivity.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 535-539"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jixiang Yang , Xu Tang , Han Ding , Yuehong Yin (1)
{"title":"A novel electromagnetic end-effector with adaptive force-stiffness coordinated control for robotic grinding with variable workpiece stiffness","authors":"Jixiang Yang , Xu Tang , Han Ding , Yuehong Yin (1)","doi":"10.1016/j.cirp.2025.04.087","DOIUrl":"10.1016/j.cirp.2025.04.087","url":null,"abstract":"<div><div>This paper presents an adaptive force-stiffness coordinated control framework for custom-developed electromagnetic variable stiffness end-effector (EMVSE) used in robotic grinding with varying workpiece stiffness. The EMVSE generates actively controlled stiffness and force through designed voice coil motor and electromagnetic spring. The force-stiffness coordination control combines an optimized nonlinear PID force controller with bounded tracking error constraints and a self-stiffness controller based on real-time workpiece stiffness estimation, thereby achieving precise force control for grinding with variable workpiece stiffness. Experiments validate the effectiveness of the proposed method in improving the force control accuracy, material removal accuracy and surface quality of robotic grinding.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 541-545"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lars Vanmunster , Louca Goossens , Yannis Kinds , Brecht Van Hooreweder , Bey Vrancken
{"title":"Retraction notice to \"Effect of a variable laser beam profile system on productivity and surface quality of 316L stainless steel parts produced by Laser Powder Bed Fusion\" [CIRP Ann. - Manuf. Technol 72 (2023) 121-124]","authors":"Lars Vanmunster , Louca Goossens , Yannis Kinds , Brecht Van Hooreweder , Bey Vrancken","doi":"10.1016/j.cirp.2025.07.001","DOIUrl":"10.1016/j.cirp.2025.07.001","url":null,"abstract":"","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 2","pages":"Page 1073"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lihui Wang (1) , Robert X. Gao (1) , Jörg Krüger (1) , József Váncza (1)
{"title":"Human-centric assembly in smart factories","authors":"Lihui Wang (1) , Robert X. Gao (1) , Jörg Krüger (1) , József Váncza (1)","doi":"10.1016/j.cirp.2025.04.058","DOIUrl":"10.1016/j.cirp.2025.04.058","url":null,"abstract":"<div><div>Assembly in future smart factories needs to address three challenges, including human centricity, sustainability, and resilience. Conventional approaches for automation in assembly have reached a bottleneck in terms of operation automomy, leaving various tasks to continued manual labour by human operators. To ease the burden on humans both physically and intellectually, human-centric assembly enhanced by augmented robots, cognitive systems, mixed reality and collaborative intelligence, assisted by thought-driven brain robotic controls, provides a promising solution. Within the context, this keynote provides an in-depth analysis of the state of human-centric assembly and identifies potentially fruitful research directions in future smart factories.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 2","pages":"Pages 789-815"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hans-Christian Möhring (2) , Dirk Biermann (1) , Friedrich Bleicher (1) , Shreyes Melkote (1) , Gregor Kappmeyer (3)
{"title":"Fixtures and workpiece clamping systems in machining","authors":"Hans-Christian Möhring (2) , Dirk Biermann (1) , Friedrich Bleicher (1) , Shreyes Melkote (1) , Gregor Kappmeyer (3)","doi":"10.1016/j.cirp.2025.04.096","DOIUrl":"10.1016/j.cirp.2025.04.096","url":null,"abstract":"<div><div>Workpiece clamping systems (WPCS) constitute core elements of machining systems. As part of the force flow and accuracy path, WPCS influence the performance and efficiency of the manufacturing processes. By functional integration, enhanced capability can be introduced to the machining system. Monitoring, active adjustment and process control can be achieved. The layout, design and optimisation of WPCS should be an integrated element in process planning. For this, computer aided support systems are available. Modelling of WPCS enables virtual analyses of process-workpiece-fixture interaction and makes optimisation possible. This paper gives an overview of the technology of WPCS and introduces future perspectives.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 2","pages":"Pages 945-969"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interaction between forced and chatter vibrations through flank-workpiece interference","authors":"Takehiro Hayasaka (2), Hayato Murai, Kyungki Lee, Eiji Shamoto (1)","doi":"10.1016/j.cirp.2025.04.064","DOIUrl":"10.1016/j.cirp.2025.04.064","url":null,"abstract":"<div><div>In this paper, the interaction between forced and chatter vibrations through flank-workpiece interference is studied. The effect of the well-known process damping, which occurs due to the contact between the flank face and the workpiece, on the chatter stability has been studied broadly. However, this contact should occur by forced vibration also, which has not been studied much in the literature. Due to this contact, forced vibration should suppress chatter, and vice versa; interaction should occur. A model is constructed to evaluate this interaction, and the interactive effects are clarified through simulations and experiments.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 575-578"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Felix Finkeldey , Makoto Kato , Petra Wiederkehr (2) , Yasuhiro Kakinuma (2)
{"title":"AI-based sensor layout for predicting thermal deformations of CFRP machine tools","authors":"Felix Finkeldey , Makoto Kato , Petra Wiederkehr (2) , Yasuhiro Kakinuma (2)","doi":"10.1016/j.cirp.2025.04.048","DOIUrl":"10.1016/j.cirp.2025.04.048","url":null,"abstract":"<div><div>Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised information content is necessary for efficient training. In this paper, an approach for optimising sensor configurations for predicting thermal deformations is presented. From initially 300 temperature sensors, the number of required sensors was significantly reduced while maintaining predictive accuracy. Furthermore, a pattern for sensor placement was identified, providing the potential for an efficient sensor layout that enables cost-effective data acquisition and improved monitoring of machining and wear progression of machine tool components.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 505-509"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finding hidden spindle bearing defect periods using Ramanujan filter banks","authors":"Mohit Law (2)","doi":"10.1016/j.cirp.2025.04.072","DOIUrl":"10.1016/j.cirp.2025.04.072","url":null,"abstract":"<div><div>Classifying defects is difficult when spindle bearings have multiple faults that interact with each other and result in the measured vibrations exhibiting cyclo- and non-stationarity. For such cases, this paper shows that the Ramanujan sum when used as a basis to construct filter banks helps decompose the signal into its individual components that makes it possible to estimate hidden defect periods. Illustrative examples with different spindle types show how filter banks can identify periods not obvious in the signal’s Fourier spectra, or in spectrograms, or even those left unclassified by the envelope spectrum method or the empirical mode decomposition method.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 477-481"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compensation of blank warpage in punching processes through an innovative adaptive control system for adjusting part holder forces","authors":"Mathias Liewald (2), Stephan Nießner","doi":"10.1016/j.cirp.2025.04.090","DOIUrl":"10.1016/j.cirp.2025.04.090","url":null,"abstract":"<div><div>Punched sheet metal parts are shear cut at least once during production. Shearing sheets generally cause dislocation movements in the lattice structure, leading to inhomogeneous stress distributions and thus part warpage. Although strategies for avoiding warpage are principally known, flatness tolerances of high-quality punched parts often cannot be met since specific and experience-based adjustments of machine parameters are required. This paper presents a method for automatically compensating for warpage of perforated blanks by adapting part holder forces acting in a innovative punching tool. Cutting force measurements from previous process sequences and a machine learning model are considered for this adaption.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 523-527"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cutting force reconstruction in milling by multi-sensor fusion with hybrid aid of process and data-driven models","authors":"Shuntaro Yamato","doi":"10.1016/j.cirp.2025.04.093","DOIUrl":"10.1016/j.cirp.2025.04.093","url":null,"abstract":"<div><div>This paper proposes an approach to cutting force reconstruction in milling combining a machine learning model with cutting process simulations. The machine learning model is developed in the feature space of amplitude spectra associated with the tooth-passing components extracted through the moving Fourier transform of time series data. Subsequently, the cutting force time waveform is reconstructed by integrating the estimated amplitude spectra with phase information provided by a cutting simulator. This approach facilitates efficient model construction compared to directly using time waveforms for training. It also enables straightforward multiple-sensor fusion using the ML model, thereby enhancing estimation performance.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 517-521"},"PeriodicalIF":3.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}