CIRP Journal of Manufacturing Science and Technology最新文献

{"title":"Manufacture process of Ti/Cu composite plates via prefabricated corrugated hot rolling and differential-temperature rolling","authors":"Peng Zhang ,&nbsp;Tianfeng Wu ,&nbsp;Zhongkai Ren ,&nbsp;Hao Zhao ,&nbsp;Wenwen Liu","doi":"10.1016/j.cirpj.2026.01.011","DOIUrl":"10.1016/j.cirpj.2026.01.011","url":null,"abstract":"<div><div>This study used the TA1 interface prefabricated corrugated hot-rolling combined with differential temperature rolling (PCHR + DTR) process to fabricate Ti/Cu composite plates with high interfacial strength while maintaining a flat plate shape. The influence of reduction rates on the mechanical properties, microstructure, interfacial bonding, and elemental diffusion of the Ti/Cu composite plates prepared by the PCHR+DTR process was systematically investigated through mechanics performance tests and microstructural characterization. A rolling molecular dynamics model of the Ti/Cu composite plate was established to elucidate the effect of the reduction rates on diffusion behavior and formation of compound mechanisms.The results indicate that the shear strength of the composite plates prepared by this process is higher at the troughs than at the peaks and exceeds the shear performance of composite plates fabricated using the hot flat rolling + DTR process.With increasing reduction rate, the shear strength initially increased and then decreased. At an reduction rate of 50 %, the shear strength at the peak and trough reached 122.25 MPa and 166.54 MPa, respectively. Meanwhile, both tensile strength and yield strength increased with raising reduction rates, while elongation decreased due to pronounced work hardening. At an reduction rate of 60 %, the tensile strength and yield strength reached their maximum values, which were 265.45 MPa and 452.16 MPa, respectively, with a corresponding elongation minimum of 16 %. Moreover, microscopic results illustrate that grain refinement and elongation occur on both the titanium and copper sides, with more intense grain deformation observed near the interface. This is due to the rupture of the hard and brittle layers on both sides under pressure and friction, allowing fresh copper metal to infiltrate the small cracks on the titanium side, which is benefit for bonding of heterogeneous materials and grains deformation. Meanwhile,the materials on both sides of the interface are in direct contact. Compared with the substrate, the grains are subjected to greater normal stress and shear stress.At the reduction rate of 50 %, the bonding performance of the composite plate is the best, and the copper metal residue most on the titanium side at the shear fracture.</div><div>Under the influences of the rolling force and the corrugated structure, R-Cube and Copper textures are found on the copper side both at the peaks and troughs, while basal tilting textures are observed on the titanium side. At the reduction rate of 55 %, the atomic diffusion is the greatest, and the slope of the mean square displacement curve is the largest. Furthermore, atomic potential energy distribution results show no significant compound layer formation at the interface.’</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"66 ","pages":"Pages 1-17"},"PeriodicalIF":5.4,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116624","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":"Metallurgical, mechanical, and tribological characteristics and process-structure-property relationships in the additive manufacturing of AA2024/ZrO2 nanocomposites via friction surfacing","authors":"Milad Abbasi Nahr,&nbsp;Seyyed Ehsan Mirsalehi,&nbsp;Ali Sheikholeslami","doi":"10.1016/j.cirpj.2026.01.002","DOIUrl":"10.1016/j.cirpj.2026.01.002","url":null,"abstract":"<div><div>Friction surfacing (FS) is a solid-state additive manufacturing technique that utilizes high-temperature plastic deformation to create dense, fine-grained multilayer structures, thereby avoiding melting and minimizing associated defects. This process was employed to deposit AA2024/2.12 wt% ZrO₂ nanocomposite multilayers on an AA2024 substrate. Subsequently, both deposited composite and non-composite samples were prepared for comparative analysis. This study systematically investigated the influence of key process parameters-consumable rod rotational speeds (600–1200 rpm), feeding rates (30‑45 mm/min), and travel speeds (70–85 mm/min)-on heat input and, consequently, microstructure refinement. Comprehensive material characterization was performed using OM, XRD, and SEM/EDS for macro- and microstructural analysis, alongside hardness and wear property assessments. Results demonstrated the successful fabrication of defect-free AA2024/ZrO₂ nanocomposites exhibiting well-bonded layers, fragmented intermetallic compounds, and a uniform distribution of ZrO₂. Grain size analysis revealed an average range of 2–10 μm, with reductions spanning 60.6–87.06 % across 14 manufactured samples. Enhanced hardness and wear resistance were observed in FS composites compared to non-composites, with variations in hardness across-section layers attributed to grain size evolution and precipitate dissolution. Increasing the rotational speed from 600 to 1200 rpm resulted in the deposition of wider (6 mm) and thicker (2.8 mm) layers. The optimal microstructure, achieved at a rotational speed of 1000 rpm, a feed rate of 40 mm/min, and a travel speed of 80 mm/min, featured a remarkably fine grain size of 2.91 ± 1.2 μm (an 87.06 % reduction), a hardness of 111.9 ± 9.11 HV, and a wear rate of 6.3 × 10⁻³ mg/N·m.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 310-335"},"PeriodicalIF":5.4,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078290","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":"Voxel-based rapid modeling of milling material removal for machining deformation prediction using finite cell method","authors":"Zixuan Wang ,&nbsp;Bingran Li ,&nbsp;Hui Zhang ,&nbsp;Peiqing Ye","doi":"10.1016/j.cirpj.2025.12.017","DOIUrl":"10.1016/j.cirpj.2025.12.017","url":null,"abstract":"<div><div>In the milling of thin-walled workpiece, deformation induced by cutting force is a critical factor affecting machining quality. Accurately and efficiently predicting the milling deformation caused by cutting force before machining is an essential method for deformation optimization in thin-walled workpiece machining. In this paper, we present a novel framework that integrates voxel-based modeling of material removal volume with the finite cell method (FCM) for the efficient prediction of machining deformation. This method leverages the voxel model's ordered data storage characteristics for efficient calculation of cutter-workpiece engagement (CWE) and instantaneous cutting forces, while enabling fast stiffness matrix updates without re-meshing. This approach significantly enhances the computational efficiency and accuracy of deformation prediction based on FCM and the voxel model, while simultaneously overcoming the mesh generation challenges inherent in traditional finite element method. Finally, both simulation and physical milling experiments on thin-walled parts were conducted to verify the significant improvement in computational efficiency over traditional algorithms and the accuracy in predicting cutting-force-induced deformation, demonstrating great potential for engineering applications.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 295-309"},"PeriodicalIF":5.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078294","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":"Nozzle clogging during extrusion based additive manufacturing of polymer matrix composites—A numerical simulation insight into the process","authors":"Rajat Mishra ,&nbsp;Swasti Chakrabarty ,&nbsp;Amit Arora","doi":"10.1016/j.cirpj.2026.01.009","DOIUrl":"10.1016/j.cirpj.2026.01.009","url":null,"abstract":"<div><div>Enhancing properties of composite materials through aligned reinforcements in an extrusion-based additive manufacturing (AM) process, is a critical objective in engineering applications. The extrusion process involves study of complex multiphase flow to determine the directionality of the reinforcement. Advanced numerical techniques are to be deployed to study the interplay of various forces and process parameters in the process. In this study, we use coupled Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) numerical techniques to investigate the flow of a graphite-reinforced PVA polymer matrix through a nozzle, a process not easily achievable through experimental means. The drag force, pressure gradient force, and virtual mass force are found significant based on a comprehensive analysis of simulation and experimental data. Non-linear regression analysis is performed to quantify the impact of these forces on reinforcement alignment. The orientation angle of reinforcements is chosen as the output parameter, with input parameters comprising nozzle outlet diameter, reinforcement aspect ratio, volume flow rate, polymer viscosity, and reinforcement concentration. Additionally, the nozzle clogging during printing is studied using the developed model. Nozzle rotation is proposed as an effective method to mitigate clogging, further enhancing the efficiency of the reinforcement alignment process. This research advances our understanding of composite material printing and offers practical solution for optimizing the alignment of reinforcements in polymer matrices, paving the way for developing high-performance composite materials with tailored properties using extrusion based AM processes.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 273-294"},"PeriodicalIF":5.4,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078292","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":"Mechanical strength of 3D-printed lattices under different environmental conditions","authors":"Mohammad Reza Khosravani ,&nbsp;Amirmahdi Abdollahi ,&nbsp;Hadi Sadeghian ,&nbsp;Majid R. Ayatollahi ,&nbsp;Tamara Reinicke","doi":"10.1016/j.cirpj.2026.01.004","DOIUrl":"10.1016/j.cirpj.2026.01.004","url":null,"abstract":"<div><div>In this study Additive Manufacturing (AM, i.e., 3D printing) has been used for fabrication of lattices with three different geometries: honeycomb, fourfold, and re-entrant. The specimens were fabricated based on the material extrusion technique, using Polyethylene Terephthalate Glycol (PETG) filament, which was reinforced with short carbon fiber additives. Since 3D-printed components might be subjected to various environmental conditions during their service life, here some of the test coupons were artificially aged (-5 to 40 °C) to determine effects of this thermal aging on their mechanical behavior. Based on a series of mechanical tests on the aged and unaged specimens, the deformation and energy absorption capabilities of the specimens were compared. Parallel to the experiments, two dimensional Finite Element Model (FEM) was developed to evaluate the mechanical performance and investigate the stress distribution and plastic deformation of the examined lattice structures. Moreover, Fractography analysis was conducted using Scanning Electron Microscope (SEM) images. The experimental findings indicate that energy absorption until damage initiation and energy absorption until the densification have been increased in almost all specimens due to the conducted thermal aging. In addition, SEM images indicate that during the loading process a higher amounts of energy was dissipated in the aged re-entrant lattices structure, compared to unaged test coupons. The documented results can be used for design and fabrication of thermal-stable 3D-printed composite parts.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 261-272"},"PeriodicalIF":5.4,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078291","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":"Suppression of chatter in thin-walled component milling through shear thickening fluids","authors":"Shuqi Wang ,&nbsp;Shengjie Zhou ,&nbsp;Dongliang Gao ,&nbsp;Xiaoqiu Xu ,&nbsp;Chunlei He","doi":"10.1016/j.cirpj.2026.01.007","DOIUrl":"10.1016/j.cirpj.2026.01.007","url":null,"abstract":"<div><div>In the milling of thin-walled components, the inherently low stiffness of these structures makes the occurrence of chatter a critical issue that significantly limits machining accuracy and productivity. To address this challenge, this study proposes a novel approach for chatter suppression based on the shear thickening effect. Two representative types of shear thickening fluids (STFs)—silicon dioxide-polyethylene glycol (SiO₂-PEG) and cornstarch-water—are experimentally investigated. Initially, the modal parameters of thin-walled workpieces, both with and without the application of STFs, are determined separately through experimental modal analysis. Subsequently, a nonlinear milling dynamics model is formulated using Hamilton’s principle, incorporating the kinetic energy, strain energy, boundary potential energy, and strain potential energy of the system, as well as the rheological and mechanical properties of the STF. The stability lobe diagram is then computed using the full-discretization method to analyze the dynamic stability of the system. To further validate the vibration suppression effectiveness of the STFs, milling vibration tests are conducted using different types and mass fractions of the fluid. The results indicate that the application of STF significantly reduces the natural frequency and increases the damping ratio of the cutting system, thereby achieving a notable suppression of milling vibrations and improving the milling surface roughness.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 238-260"},"PeriodicalIF":5.4,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078293","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":"Surface quality classification in burnished aluminum alloys based on nonlinear dynamic characteristics and machine learning","authors":"Cong Ding ,&nbsp;Shiqing Feng ,&nbsp;Xing Liu ,&nbsp;Michael G. Bryant ,&nbsp;Yan Zhao ,&nbsp;Jianfei Han ,&nbsp;Zhongyu Piao","doi":"10.1016/j.cirpj.2026.01.005","DOIUrl":"10.1016/j.cirpj.2026.01.005","url":null,"abstract":"<div><div>Active control of surface quality requires insight into both processing parameters and the nonlinear dynamic behavior of machining systems. However, existing studies mainly focus on microscopic surface attributes and often overlook their relationship with system-level nonlinear dynamics, limiting both predictive accuracy and mechanistic understanding. To address this gap, this study investigates the surface burnishing process (SBP) by integrating process parameters, vibration-based nonlinear dynamic analysis, and machine learning. A quantitative intrinsic mode function (IMF) screening method based on ensemble empirical mode decomposition (EEMD) and power spectral density (PSD) was proposed to enhance vibration signal denoising and feature reliability. Chaotic behavior of the SBP system was confirmed by a positive maximum Lyapunov exponent (λ_max&gt;0), and a set of recurrence quantification analysis (RQA) parameters was extracted. Three feature scenarios, SBP parameters with positional encoding, chaotic features, and their combination, were evaluated for classifying surface roughness and hardness. Results showed that surface roughness was predominantly governed by burnishing parameters, whereas hardness prediction benefited more from RQA parameters reflecting the surface deformation stability. The findings clarify the distinct roles of deterministic and dynamic factors in surface-quality formation and provide a flexible, physically interpretable framework for data-driven surface-quality prediction and adaptive manufacturing applications.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 223-237"},"PeriodicalIF":5.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023611","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":"Methodology to quantify the recyclability of design alternatives for highly integrated technical products applied to lithium-ion batteries","authors":"S. Hansen ,&nbsp;F. Vysoudil ,&nbsp;A. Dlugosch ,&nbsp;J. Riech ,&nbsp;M. Mennenga ,&nbsp;S. Blömeke ,&nbsp;T. Vietor ,&nbsp;C. Herrmann","doi":"10.1016/j.cirpj.2026.01.003","DOIUrl":"10.1016/j.cirpj.2026.01.003","url":null,"abstract":"<div><div>High manufacturability and usability demands lead to an increasing complexity of technical products, which in turn reduces their recyclability. However, to assess the consequences a dedicated Design for Recycling would have in End of Life is challenging due to the complex dependencies between product design and recycling systems which are particularly difficult to estimate in early-stage product development. It is especially the economic benefits, however, that need to be made transparent to reach a widespread application of Design for Recycling in industry. Therefore, this paper presents a methodology to assess economic aspects of a design-dependent End of Life behavior of a product with minimal initial information, which reflects the constraints typical for Product Development Processes. It offers a structured analytical evaluation of design impacts on costs and revenues as well as on the recycling progress that the single steps throughout the End-of-Life process chain would entail. The methodology is exemplarily applied to two electric bike batteries that exhibit significant differences in terms of their recyclability. Results show that these differences are clearly identifiable and the advantages of the more recycling-friendly design can be demonstrated.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 207-222"},"PeriodicalIF":5.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023668","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":"Physics-based feature enhancement method and physics constraint Transformer model for multi-step tool wear and RUL prediction","authors":"Shanglei Jiang ,&nbsp;Haoyuan Zhang ,&nbsp;Zhengmao Chen ,&nbsp;Yuwen Sun ,&nbsp;Xuexia Liu","doi":"10.1016/j.cirpj.2026.01.001","DOIUrl":"10.1016/j.cirpj.2026.01.001","url":null,"abstract":"<div><div>In intelligent manufacturing, tool wear monitoring (TWM) and remaining useful life (RUL) prediction are crucial for improving production quality and efficiency. However, achieving accurate and reliable multi-step (long-term) predictions remains a substantial challenge. This research proposes a feature enhancement method and constructs a Transformer model that embeds hard-soft physics constraints for multi-step wear and RUL prediction. Firstly, the fast adaptive Brownian bridge aggregation algorithm (fABBA) is employed to extract the features from multiscale signals during machining, alleviating the reliance on domain knowledge inherent in traditional feature engineering to some extent. On this basis, a physics-based feature enhancement method is proposed to improve the model’s generalization. Secondly, a Transformer model based on multi-head self-attention and cross-attention mechanisms is constructed for multi-step tool wear and RUL prediction. Meanwhile, a hard-soft physical constraint embedding module is designed to ensure that the model's output has a certain degree of physical interpretability. Finally, the PHM2010 and self-constructed datasets are employed to verify the effectiveness of the proposed method. Shapley Additive Explanations (SHAP) analysis method is used to quantitatively analyze the contribution of features to the model. The wear comparison experiments on the PHM2010 dataset, using C6 as the test set, show that the proposed model achieves RMSE values of 1.680672 <span><math><mo>±</mo></math></span> 0.137001, 2.220760 <span><math><mo>±</mo></math></span> 0.145516, 3.430798 <span><math><mo>±</mo></math></span> 0.485509, and 5.106184 <span><math><mo>±</mo></math></span> 0.690110 for 12, 24, 36 and 48 step predictions, respectively. Even for the ultra-long wear prediction, the R² remains at 0.981760 <span><math><mo>±</mo></math></span> 0.005227, which is better than GRU, BiGRU, BiGRU-AT, and TCN models.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 179-206"},"PeriodicalIF":5.4,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978239","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":"Temperature field characteristics in rotary longitudinal-torsional ultrasonic machining of unidirectional carbon fiber reinforced polymer (CFRP)","authors":"Ziqiang Zhang ,&nbsp;Feng Jiao ,&nbsp;Yuanxiao Li","doi":"10.1016/j.cirpj.2025.12.019","DOIUrl":"10.1016/j.cirpj.2025.12.019","url":null,"abstract":"<div><div>Enhancing the drilling quality of carbon fiber reinforced polymer (CFRP) holds significant importance for advancing its application in aerospace and other fields. The temperature during CFRP core drilling critically impacts hole quality, and incorporating ultrasonic vibration during machining can effectively reduce this temperature. Predicting workpiece temperature is vital for selecting process parameters and enhancing hole quality of CFRP core drilling. However, current research on rotary ultrasonic machining (RUM) of CFRP predominantly focuses on experimental investigations, which relatively few reports on the temperature prediction. Utilizing the benefits of longitudinal-torsional ultrasonic vibration to reduce temperature, this paper establishes a temperature prediction model for rotary longitudinal-torsional ultrasonic machining (RLTUM) of unidirectional CFRP and analyzes the temperature field characteristics. Initially, the heat source properties in the machining process are analyzed, followed by an examination of heat transfer characteristics using the heat source method. Furthermore, the surface morphology of CFRP hole wall under different machining conditions was compared. Experimental verification confirms the model’s accuracy, demonstrating its capability to predict temperature evolution and variation trends with process parameters. The peak temperature prediction errors perpendicular and parallel to the fiber direction are 7.09–12.63 % and 5.54–14.36 %, respectively. Implementing longitudinal-torsional ultrasonic vibration reduces temperature during the core drilling process. As the fiber orientation angle increases, the corresponding peak temperature decreases, and the peak temperatures for different fiber orientation angles are symmetrical. This model serves as a valuable reference for selecting process parameters to improve CFRP drilling quality.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"65 ","pages":"Pages 145-162"},"PeriodicalIF":5.4,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927230","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}