Journal of Manufacturing Processes最新文献

{"title":"Structure, mechanical properties, and wear behavior of functionally graded hybrid AA6061-B4C-CNT composites using combined stir casting and centrifugal casting","authors":"Sukanta Sarkar ,&nbsp;Ujjal Dey ,&nbsp;Ketan Chouhan ,&nbsp;C.S. Kumar ,&nbsp;Siddhartha Roy","doi":"10.1016/j.jmapro.2026.01.094","DOIUrl":"10.1016/j.jmapro.2026.01.094","url":null,"abstract":"<div><div>A functionally graded hybrid Al-B₄C-CNT composite cylinder was fabricated using combined stir and centrifugal casting to improve the properties of both the outer and inner surfaces. While a dense B₄C-rich region of approx. 1 mm thickness was achieved at the outermost surface due to the higher density of B₄C particles over molten AA6061, the areas adjacent to the inner surface were preferentially reinforced by CNTs. Electron backscattered diffraction (EBSD) analysis confirmed grain refinement and increased local strain in reinforcement-rich regions, with the finest grains and highest kernel average misorientation (KAM) value observed in the region, preferentially enriched with the CNTs. Raman spectroscopy confirmed the gradient CNT distribution, and high-resolution transmission electron microscope analysis proved the strong interfacial bonding due to the formation of a thin Al₄C₃ layer. Due to the presence of high B₄C content, the highest hardness of 520 ± 30 HV was achieved at the outer periphery, while the presence of CNTs in the inner regions resulted in higher hardness in those regions compared to the reinforcement-free mid-thickness zone of the cylinder. Samples from five regions along the thickness — outer, outer-middle, middle, middle-inner, and inner were subjected to three-point bend and wear tests. The inner-middle part demonstrated the best combination of flexural strength and toughness (flexural strength ∼350 MPa and flexural strain ∼11%) along with the lowest coefficient of friction (= 0.23) and specific wear rate due to the uniformly distributed CNT reinforcement. In conventional centrifugal-cast functionally graded composites, the inner surface generally suffers from inferior properties due to the accumulation of defects. In that respect, this novel composite design with gradient distribution of hybrid reinforcements provides a methodology to reinforce both surfaces simultaneously.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 1-13"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated learning, monitoring, and control system for ultrasonic metal welding","authors":"Kuan-Chieh Lu ,&nbsp;Li-Wei Shih ,&nbsp;Chenhui Shao","doi":"10.1016/j.jmapro.2026.01.077","DOIUrl":"10.1016/j.jmapro.2026.01.077","url":null,"abstract":"<div><div>Ultrasonic metal welding (UMW) is a solid-state joining technology with widespread industrial applications. However, the weld quality in UMW is highly sensitive to process disturbances such as tool degradation and surface contamination. To address this challenge, this paper presents an integrated learning, monitoring, and control (LMC) system to improve process robustness and weld quality in UMW. The proposed system integrates in-situ sensing, online process monitoring, and within-cycle process adjustment to automatically compensate for process disturbances. Extensive experiments involving 700 welds with varied acting time, pressure adjustments, and contamination levels, are carried out to thoroughly evaluate the effectiveness of the LMC system. It is shown that the proposed method significantly and consistently outperforms the existing controller. Specifically, the weld success rate is increased from 0% to 92% under 20% surface contamination, and from 6% to 72% under 10% surface contamination. Furthermore, a response surface model is developed to quantify the causal relationships between control inputs (i.e., acting time and pressure increase amount) and the resulting weld success rate, which enables efficient optimization of control parameters. Overall, the proposed LMC approach improves the UMW process robustness and weld quality, demonstrating strong potential for industrial-scale implementation. To the best of our knowledge, this study represents one of the first integrated LMC systems developed for UMW.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 267-276"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 novel fluid-driven vibration finishing method for internal surfaces of additively manufactured channels","authors":"Qikai Li ,&nbsp;Mohammad Rakibul Hasan ,&nbsp;Ankang Yuan ,&nbsp;Ruoying Wang ,&nbsp;Chao Ni ,&nbsp;Pu Qin ,&nbsp;Xu Zhu ,&nbsp;Mingyang Lu ,&nbsp;Qing Luo ,&nbsp;Danlei Zhao ,&nbsp;Guangyi Ma","doi":"10.1016/j.jmapro.2026.01.100","DOIUrl":"10.1016/j.jmapro.2026.01.100","url":null,"abstract":"<div><div>To address the critical challenge of poor surface quality in complex internal channels fabricated by additive manufacturing (AM) technologies, this paper proposes a novel fluid-driven vibration finishing (FDVF) method for the internal surface of channels. When the fluid encounters an abrupt reduction in flow area, the static pressure decreases dramatically due to the increase in velocity. This pressure variation is utilized to drive periodic vibrations of a blocking ball within the channel. By leveraging the ball's impact on the internal surface and controlling the position of the ball, uniform finishing of the AM-fabricated channel can be achieved. The mechanisms of ball vibration and surface finishing processes were investigated through the integration of computational fluid dynamics simulations and high-speed imaging. Results showed &gt;4 kHz high-frequency vibrations of the ball were generated coupled with periodic hydrodynamic cavitation, effectively finishing the wall with depths of material deformation surpassing 25 μm. A 3.6 mm inner-diameter SLM stainless steel tube with an initial average roughness <em>Sa</em> of 6.798 μm was finished under 3.5 MPa. After 60 min, the internal roughness <em>Sa</em> of a 90 mm tube was reduced by 98%, with axial roughness <em>Sa</em> variation within ±0.041 μm. Additionally, the controllability and feasibility of this method for complex channels was validated by finishing a U-shaped tube with an identical inner diameter, achieving a uniform roughness <em>Sa</em> below 0.1 μm on the straight part.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 219-230"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-temperature wear behaviour of laser-textured assisted cold-sprayed metal matrix composite coatings: tamping effect of particles in a confined space","authors":"Zhiyuan Wang ,&nbsp;Jianing Wang ,&nbsp;Bowen Yao ,&nbsp;Huan Chen ,&nbsp;Fengyuan Bao ,&nbsp;Yang Liu ,&nbsp;Xueze Jin ,&nbsp;Oleg Bashkov ,&nbsp;Lin Cao","doi":"10.1016/j.jmapro.2026.01.097","DOIUrl":"10.1016/j.jmapro.2026.01.097","url":null,"abstract":"<div><div>To address the surface protection challenges faced by turbine blades in gas turbines under extreme operating conditions—including high temperatures, high pressures, and high-velocity gas combustion gases—this study employs an efficient composite process combining laser surface texturing with cold spraying (LST-CS). This process is designed to enhance the interfacial bonding of cold-sprayed nickel-based coatings, thereby improving their operational reliability and extending component lifespan. Following substrate pretreatment, coating porosity decreased by 2.28%, bond strength increased by 3.68-fold, and wear rates at ambient and elevated temperatures decreased by 52.67% and 68.71% respectively. Experimental and characterisation analyses revealed that the textured groove structures not only increased particle-substrate contact area but also functioned as a guiding framework directing particle deposition. This induced a ceramic tamping effect within confined spaces, establishing a mortise-and-tenon mechanical interlocking structure at the coating-substrate interface. This structure not only enhances the bonding strength between the coating and the substrate, promoting overall densification of the coating, but also effectively suppresses crack initiation at elevated temperatures through dovetail mechanical anchoring. By leveraging substrate softening, it transforms frictional loads into lateral compression that reinforces interfacial bonding, thereby significantly mitigating high-temperature shear slippage and interfacial delamination. This extends the service life of the coating and provides a theoretical foundation and technical guidance for improving the surface repair performance of high-end equipment under extreme operating conditions.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 292-308"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent laser micromachining parameter optimization via causality-enhanced data-driven modeling","authors":"Wei-Ming Jiang ,&nbsp;Yan-Ning Sun ,&nbsp;Li-Lan Liu ,&nbsp;Jie-Cai Feng ,&nbsp;Zeng-Gui Gao","doi":"10.1016/j.jmapro.2026.02.003","DOIUrl":"10.1016/j.jmapro.2026.02.003","url":null,"abstract":"<div><div>Laser micromachining is pivotal for producing surface micropore structures that comply with specifications in thermal barrier coating manufacturing. However, the intricate nonlinear interactions among laser parameters result in considerable variability in the final processing quality of the micropores. Data-driven methods have mapped laser parameters to processing quality, but traditional machine learning (ML) models provide limited understanding of the causal mechanisms involved, hindering deeper insights into quality optimization process. To address this limitation, this study proposes a causal-enhanced ML (CEML) framework that incorporates causality to identify the optimal combination of laser parameters for enhanced processing quality. The study is structured into three sequential experimental stages. First, a series of micromachining experiments were conducted to generate a dataset comprising laser parameters and corresponding micropore quality indicators. Second, based on the experimental dataset, causal analysis was conducted and the extracted causal information was integrated into model training. The resulting CEML surrogate model was benchmarked against baseline ML models, demonstrating improved predictive performance across multiple evaluation metrics and stable performance under 5-fold cross-validation. Third, a multi-objective optimization based on particle swarm optimization was employed to derive optimal parameters for improved processing quality. The effectiveness of the optimal parameters was subsequently validated through physical machining experiments.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 194-205"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing gear surface integrity: A study of longitudinal-torsional ultrasonic strengthening effect on surface roughness","authors":"Yan Jiang,&nbsp;Qinyuan Yang,&nbsp;Qiang Guo,&nbsp;Bo Zhao,&nbsp;Tian Li,&nbsp;Ying Niu","doi":"10.1016/j.jmapro.2026.01.098","DOIUrl":"10.1016/j.jmapro.2026.01.098","url":null,"abstract":"<div><div>Tooth surface properties are critical for gear longevity, efficiency, and accuracy. Traditional strengthening methods often fall short in high-precision, long-life applications. Fortunately, with its precise energy control, ultrasonic machining offers a novel approach to overcoming these drawbacks and achieving superior surfaces quality. However, there are few studies on the effect elucidation of longitudinal-torsional ultrasonic machining for gears. Thus, this paper introduces a new gear surface strengthening method by integrating longitudinal-torsional ultrasonic machining with gear meshing theory, focusing on surface formation mechanisms and roughness evolution. The underlying micro-forming mechanism, based on Boussinesq-Flamant theory, models the process in three stages: 1) Triangular indentation, where initial grinding peaks yield and subside under combined static and ultrasonic loading; 2) Crushing collapse, involving material work hardening, fracture, and flow into valleys under cyclic load, dissolving the original topography; 3) New surface formation, where stabilized plastic flow fills valleys to create a smooth, dense surface with beneficial residual compressive stress. This model systematically describes the evolution from the initial to the hardened surface. For validation, a dedicated experimental platform was used alongside white-light interferometry. Results show high consistency between experimental and theoretical surface morphology trends along the tooth profile, with an average quantitative error of 15%. These findings validate the three-stage model, providing a theoretical foundation for understanding and optimizing ultrasonic gear strengthening processes.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 277-291"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting submerged deflecting abrasive waterjet peening induced surface roughness based on vibration signal via a time-frequency parallel deep learning network","authors":"Yu-Xin Chi ,&nbsp;Shu-Lei Yao ,&nbsp;Xian-Hao Zhu ,&nbsp;Zhi-Yun Wang ,&nbsp;Jie Qi ,&nbsp;Ning Wang ,&nbsp;Xian-Cheng Zhang","doi":"10.1016/j.jmapro.2026.01.103","DOIUrl":"10.1016/j.jmapro.2026.01.103","url":null,"abstract":"<div><div>Waterjet peening (WJP) is an effective surface strengthening method for complex aeroengine components. However, the low stiffness of thin-walled parts, such as blades, can induce significant vibration responses during machining, which may adversely affect the final surface integrity. Therefore, process monitoring is crucial for capturing dynamic responses and providing timely feedback for quality control. However, owing to the complex working environment and strengthening mechanism, monitoring the WJP process remains challenging. In this study, vibration signals from thin-walled titanium alloy TA19 specimens were collected during submerged deflecting abrasive waterjet peening (SDAWJP). The vibration signals exhibited change trends consistent with those of surface roughness and showed clear sensitivity to variations in process parameters, thus enabling accurate prediction modeling. A time-frequency parallel deep learning network (TFPNet) was proposed, in which vibration features from both the time and frequency domains were extracted simultaneously and subsequently fused via an attention pooling mechanism to effectively predict the surface roughness. The prediction performance was evaluated under varying abrasive flow rates and water pressures. The proposed model achieved mean absolute percentage errors of 0.99% and 1.35%, respectively, which were significantly lower and more stable than those of the comparative methods. The findings are expected to provide support for the machining quality assurance in practical aviation components.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 424-438"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 flattening during aluminum sheet forming","authors":"Farshid Jalali Moghadas ,&nbsp;Matthijn de Rooij ,&nbsp;Ton van den Boogaard ,&nbsp;Javad Hazrati","doi":"10.1016/j.jmapro.2026.01.099","DOIUrl":"10.1016/j.jmapro.2026.01.099","url":null,"abstract":"<div><div>Predicting friction in sheet metal forming is essential for accurate modelling of the process and therefore its optimization. Estimation of real contact area is prerequisite for reliable prediction of friction. In this paper, effects of normal load, as well as normal load combined by strain in aluminum sheet metal on the real area of contact are investigated. An earlier setup is improved to probe combined normal load and bulk strain effects on the real area of contact. Experiments are carried out on two grades of aluminum, AA6016 and AA5182 sheets with electro discharge surface textures (EDT). Fractional real area of contact at different contact pressure and strain levels is measured using confocal microscopic images of the deformed surfaces. A semi-analytical model is used to predict real area of contact evolution due to normal load using a hardness database of different asperity geometries. To account for flattening of asperities due to combined normal load and bulk strain, a new model is developed and calibrated based on the experiments. The experimental results show that extent of increase in real area of contact due to only normal load or combined normal load and strain depends on the surface texture, the material properties and contact conditions. Predictions of the new models were validated using different textures of the same aluminum grade. The results show that the models capture the evolution of real area of contact with reasonable accuracy. These models will be used to enhance friction modelling in aluminum sheet forming.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 352-370"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 topography control in CoCrMo alloy additive manufacturing through laser powder bed fusion process","authors":"Anup Kumar Maurya ,&nbsp;G. Sivakumar ,&nbsp;Murugaiyan Amirthalingam ,&nbsp;M. Kamaraj","doi":"10.1016/j.jmapro.2026.01.091","DOIUrl":"10.1016/j.jmapro.2026.01.091","url":null,"abstract":"<div><div>Laser powder bed fusion (LPBF) enables precise fabrication of CoCrMo alloy components for biomedical applications; however, achieving optimal surface properties for orthopedic implants remains challenging. Surface engineering plays a pivotal role in enhancing both biological and tribological responses, particularly in improving the adhesion of bioactive coatings. This study integrates LPBFed surface optimization with atmospheric plasma-sprayed (APS) hydroxyapatite (HAp) coatings to enhance interfacial bonding strength. LPBF process parameters were systematically optimized to tailor surface roughness, followed by APS deposition of HAp coatings on the optimized CoCrMo substrates. In this study, LPBF process parameters were varied to fabricate CoCrMo samples, and specimens were evaluated based on microhardness (320–375 ± 12 HV_0.5), porosity (&lt;1.1%), relative density (~98.9%), and surface roughness (R_a: 3–13 μm). Based on these criteria, three representative samples were selected for in-depth microstructural and mechanical characterization. Microstructural analysis revealed a dual-phase γ-FCC + ε-HCP (~14.4 vol%) matrix with cellular substructures, columnar grains, and oxide inclusions. Transmission electron microscopy (TEM) analysis revealed nano-sized chromium-rich oxides (~50 nm) and (Co, Mo, W)₂Si Laves phases along grain boundaries, which act as dislocation barriers and contribute to enhanced strength, strain hardening, and microstructural stability. The optimized LPBFed CoCrMo alloy exhibited a yield strength of ~800 ± 15 MPa and elongation of 8 ± 0.5%, attributed to the refined cellular structure, planar defects, and solid-solution strengthening. Following HAp deposition via APS, adhesion strength measurements revealed significantly enhanced interfacial bonding (~45 MPa) in a sample with optimized surface morphology. Scanning electron microscope observations confirmed reduced tensile cracking and improved coating cohesion. Nanoindentation further demonstrated superior hardness and elastic modulus, indicating dense and mechanically stable coatings. These results confirm that LPBF combined with parameter optimization and surface engineering can significantly improve the mechanical integrity and adhesion strength of bioactive coatings for advanced orthopedic implants.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 14-33"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 precision forming and force analysis in truing of arc-shaped diamond grinding wheel using tantalum rod","authors":"Bing Chen ,&nbsp;Guangye Qing ,&nbsp;Wenzhang Yang ,&nbsp;Jun Yi ,&nbsp;Jimin Ge ,&nbsp;Bing Guo ,&nbsp;Zhaohui Deng","doi":"10.1016/j.jmapro.2026.01.038","DOIUrl":"10.1016/j.jmapro.2026.01.038","url":null,"abstract":"<div><div>Arc-shaped diamond grinding wheels, as ultra-precision machining tools, offer significant advantages in the processing of spherical, aspherical, and free-form optical components due to their unique arc profiles. However, owing to the elevated hardness and comparatively inferior fracture toughness of these optical components, inevitable wear of grinding wheels occurs during grinding, leading to loss of their precise geometry and thus affecting the machining quality of the components. Therefore, in this paper, tantalum metal is used as dresser for arc-shaped wheels, and the dressed wheels are applied to the processing of axially symmetric spherical optical components. First, using planar wheel dressing as an example, the force signals collected during the dressing process with green silicon carbide (GC) and tantalum blocks are detected and analyzed. The results show that although tantalum generates relatively large dressing forces, the force in the stable stage are more uniform and stable with reduced fluctuations, contributing to the geometric stability of the grinding wheel. Tantalum dressing outperforms GC blocks in terms of roundness error and three-dimensional roughness index. Finally, the efficacy of tantalum utilization in ultra-precision grinding is ultimately demonstrated through its use in dressing arc-shaped wheels, followed by a comparative analysis of the results obtained with GC grinding rods. The experimental findings indicate that the arc contour error of following tantalum dressing is 9.4 μm, while the run-out error is 8.7 μm. When grinding K9 optical glass with spherical surface, the surface roughness reaches 0.4032 μm, and the surface accuracy is 724.4224 nm. A comparison of the two methods reveals that tantalum dressing decreases form and run-out errors by 54.81% and 37.41%, respectively. At the same time, surface roughness and accuracy of the processed workpiece are improved by 38.15% and 55.80%, respectively. These results show that the use of tantalum can not only improve grinding wheels' shape accuracy (such as plane and arc-shaped wheels), but also further improve the workpiece quality.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"161 ","pages":"Pages 101-114"},"PeriodicalIF":6.8,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}