Journal of Manufacturing Processes最新文献

{"title":"Lapping trajectories analysis and experimental study of the miniature balls lapping process using a plate with discontinuous sectors of fixed abrasives","authors":"Xun Lv ,&nbsp;Yuanyuan Li ,&nbsp;Jun Wang","doi":"10.1016/j.jmapro.2025.09.024","DOIUrl":"10.1016/j.jmapro.2025.09.024","url":null,"abstract":"<div><div>To address the high process efficiency and quality requirements for the ultra-precision machining of miniature balls used in small bearings, a new lapping method is proposed using an upper plate with discontinuous sectors of fixed abrasives (PDSFA) in which the spin angle of the miniature ball changes periodically in an abrupt manner so that the lapping trajectories can fully envelop the ball surface to generate a uniform machining process. A kinematic model is developed for the PDSFA lapping process, which introduces a coefficient of slip ratio between the ball surface and the lapping plate and generates the lapping trajectories and the variations of the spin angle of the miniature ball. The effect of the slip ratio coefficient on the distribution of lapping trajectories and the fluctuations of the spin angle are discussed. A dynamic simulation study is then undertaken using the commercial ADAMS software to generate lapping trajectories for the PDSFA lapping process, which is used to assess the effectiveness of the kinematic model predictions and verified by lapping experiment. An experiment is finally performed with three types of PDSFA plates for three slip ratio coefficients to assess the developed models and the viability of the new lapping process. The effects of process parameters on the roundness and surface roughness of miniature balls are also apply discussed. It shows that when the eccentric V-groove lower lapping plate rotates at 40 rpm under the lapping pressure of 0.3 N/ball, the roundness and surface roughness of the balls lapped using resin-bonded silicon carbide as the abrasive material in the fixed abrasive sectors outperform the other abrasive materials considered in the work, in which both the ball roundness and surface roughness reduce monotonically from the initial 1.03 μm (<em>RON</em>_<em>t</em>) and 0.119 μm (<em>R</em>_<em>a</em>), respectively, to 0.10 μm (<em>RON</em>_<em>t</em>) and 0.008 μm (<em>R</em>_<em>a</em>) within 5 h of lapping and 3 h polishing.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 421-433"},"PeriodicalIF":6.8,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046972","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":"Investigation of the material removal mechanism during ultrasonic-assisted grinding of C/SiC composites","authors":"Hailing Zhou ,&nbsp;Kai Ding ,&nbsp;Jingfei Yin ,&nbsp;Yucan Fu ,&nbsp;Qilin Li ,&nbsp;Bin He ,&nbsp;Jinjin Han ,&nbsp;Linglei Kong","doi":"10.1016/j.jmapro.2025.09.001","DOIUrl":"10.1016/j.jmapro.2025.09.001","url":null,"abstract":"<div><div>Ultrasonic-assisted grinding (UAG) offers significant advantages in machining carbon fiber reinforced silicon carbide (C_f/SiC) composites. These include substantial reduction in grinding force and improvement in surface quality. However, the strong anisotropy of C_f/SiC composites presents challenges. Current research on phase deformation and fracture mechanisms during UAG remains limited. As a result, the material removal mechanism is not well understood, which restricts further advancements in machining quality. In Response, a 3D finite element model of C_f/SiC composites was developed in Abaqus. Using this model, a single-grain abrasive grain UAG simulation was performed. The results demonstrated that grinding force magnitude critically influenced the damage to the carbon fibers and the SiC matrix, while the interfacial layer could impede and redirect crack propagation. Guided by these simulation results, UAG experiments on C_f/SiC composites were then conducted. Experimental verification revealed an average error of 11.8 % between simulated and measured grinding forces, demonstrating that the finite element model could accurately predict the experimental forces. The primary failure modes of C_f/SiC composites include longitudinal, transverse, and normal fiber damage. Ultrasonic vibration promoted brittle fracture of transverse fibers, reduced lateral fiber deflection, mitigated interfacial layer buckling, and suppressed fiber pull-out. Moreover, ultrasonic vibration altered the contact angle between abrasive grains and normal fibers. The high-frequency impacts of the abrasive grains in the normal direction accelerated cracks propagation along the fiber bending path, leading to shear fractures, and resulting in smoother, flatter fractured surfaces. For longitudinal fibers, the multidirectional compressive action of abrasive grains diminished bending fractures but intensified shear fractures, enabling localized fiber removal and inhibiting the formation of lateral cracks.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 434-451"},"PeriodicalIF":6.8,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046973","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":"Digital modeling and uniformity control of entire physical fields during die forging forming process of complex components","authors":"Hao Hu ,&nbsp;Fan Zhao ,&nbsp;Zhihao Zhang ,&nbsp;Zhilei Wang ,&nbsp;Daoxiang Wu ,&nbsp;Zhengan Wang ,&nbsp;Jianxin Xie","doi":"10.1016/j.jmapro.2025.09.009","DOIUrl":"10.1016/j.jmapro.2025.09.009","url":null,"abstract":"<div><div>The physical fields during the forging process of high-end components are characterized by complex geometric shapes, multi-field coupling, and significant non-uniformity. Precise real-time simulation of the entire physical field is a challenging bottleneck issue for the realization of intelligent forging. This work proposed a generic method for digital modeling of entire physical fields during the forging process of complex components that combines discrete extraction and overall prediction of field information. First, finite element simulations of the forging process were conducted under varying process parameters (including friction factors, billet temperatures, die temperatures, and forging velocities) to construct a modeling dataset. The dataset contains deformation physical quantities (including deformation temperature, strain rate, equivalent stress and equivalent strain) at 100 feature points on the forging at each forging stage. Then, using the forging process parameters and the coordinates of feature points as inputs, rapid prediction models for various deformation physical quantities were developed using the gradient boosting regression algorithm. The models' errors were all less than 10 %, achieving a rapid prediction of entire physical fields with a response time in seconds. Finally, a genetic algorithm was used to optimize the forging process parameters for more uniform temperature and strain rate fields, synchronously considering both the uniformity at different locations (the spatial uniformity) and the uniformity from the beginning to the end of the forging process (time-dependent uniformity). The forging with uniformly distributed grain size and hardness was obtained under the optimized process. This work could provide insights and research references for the digital modeling and intelligent control of the forging process.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 406-420"},"PeriodicalIF":6.8,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046971","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":"Theoretical and experimental insights into microstructure effects on WC machinability","authors":"Shuo Wang,&nbsp;Hanzhong Liu,&nbsp;Bing Wu,&nbsp;Wenjun Zong","doi":"10.1016/j.jmapro.2025.09.013","DOIUrl":"10.1016/j.jmapro.2025.09.013","url":null,"abstract":"<div><div>High requirements on surface roughness from the optics industry pose great challenges to the machining of cemented carbide WC-Co and binderless WC. The mechanical machining of WC (Co) is inevitably influenced by its microstructure characteristics, which govern the formation of machining-induced micro-defects. To address these challenges, this study establishes theoretical models to predict the occurrence of micro-defects and the corresponding critical conditions. WC (Co) samples with different microstructures are characterized, and the connection between the mechanical properties and microstructure is revealed through different indentation techniques. Subsequently, taper cutting experiments are conducted on the different samples to identify micro-defects, corresponding critical uncut chip thickness, and to validate the theoretical models. Finally, diamond turning is employed to achieve the final surface under the predicted conditions. The results indicate that the primary micro-defects affecting surface quality are WC grain fracture and detachment, and the proposed models effectively predict their occurrence for two samples. Suppressing these micro-defects significantly improves surface quality, although the anisotropy of WC grains and pits remains a challenge. These findings offer a theoretical and experimental framework for understanding and optimizing the machinability of WC-based cemented carbide.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 378-389"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027192","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":"Controllable spiral magnetorheological finishing (CSMRF) method for complex structural surface manufacturing","authors":"Bo Wang ,&nbsp;Feng Shi ,&nbsp;Guipeng Tie ,&nbsp;Wanli Zhang ,&nbsp;Ci Song ,&nbsp;Ye Tian ,&nbsp;Suo Qiao ,&nbsp;Xing Peng ,&nbsp;Ying Xiong","doi":"10.1016/j.jmapro.2025.09.023","DOIUrl":"10.1016/j.jmapro.2025.09.023","url":null,"abstract":"<div><div>In advanced optical systems, new functions that are difficult to achieve by ordinary optical elements can be achieved by designing the complex surface structure of optical elements. Taking Continuous Phase Plate (CPP) as an example, it has broad application prospects in beam shaping, compensation and modulation. At present, magnetorheological polishing is the main method for polishing CPP. However, due to the influence of tool influence function (TIF) size and processing efficiency, it is difficult to further improve the accuracy of the surface relief structure after processing, which restricts the further improvement of the performance of the optical system. In order to further improve the figuring ability of existing magnetorheological polishing, this study proposes a novel controllable spiral magnetorheological finishing (CSMRF) method. Firstly, the figuring ability of spiral TIFs is analyzed. By analyzing the surface shape structure of CPP, the matching strategy between surface shape error and spiral angle of TIF is established based on genetic algorithm. And the TIF of CSMRF is dynamically compensated, so as to improve the figuring ability of CSMRF. Secondly, through the simulation figuring experiment of double sinusoidal surface with different periodic structures, the control ability of spiral TIFs to different spatial wavelengths is analyzed. The simulation results show that the spiral TIF has better control effect on the frequency band above 8 mm spatial wavelength under the TIF. On this basis, a CSMRF frequency-division processing method is proposed. The CPP of 338.4 mm × 338.4 mm is experimentally processed. Compared with the original method, the low-frequency surface error is reduced from RMS 37.984 nm to RMS 31.64 nm, which verifies the effectiveness of this method in improving the low-frequency surface error figuring ability. Therefore, this work provides theoretical and technical support for the CSMRF processing and manufacturing of high-precision complex surface optical elements, and has great application value.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 346-356"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027288","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":"Few-shot interactive segmentation network for assisted annotation of coated particle images","authors":"Zhaochuan Hu ,&nbsp;Jiang Yu ,&nbsp;Hang Zhang ,&nbsp;Chao Jiang ,&nbsp;Jian Liu ,&nbsp;Ning Chen","doi":"10.1016/j.jmapro.2025.09.015","DOIUrl":"10.1016/j.jmapro.2025.09.015","url":null,"abstract":"<div><div>Accurate measurement of the coating layer thickness in high-temperature gas-cooled reactor (HTGR) fuel elements is a critical technical requirement for reactor safety assessment. Our previous work achieved automatic coating thickness measurement by integrating ceramographic method with machine vision. However, when adapting to newly designed particle configurations, the deep learning models suffer from low responsiveness due to the heavy dependence on large volumes of annotated training data. Although interactive image segmentation shows promise for addressing this issue, existing methods generally rely on large-scale datasets, limiting their applicability in few-shot industrial scenarios. To tackle this challenge, we propose an interactive segmentation framework tailored for coated particle images. The primary technical contributions of this study are threefold: (1) A lightweight Vision Transformer architecture is constructed with optimized parameters, enabling end-to-end training while maintaining robust feature encoding performance; (2) An Attentional Semantics &amp; Detail Fusion module is designed to enhance multi-scale feature extraction and mitigate detail loss caused by backbone compression; (3) A Self-Attention Segmentation Head is developed to improve the representation of key regions by leveraging self-attention mechanisms. Experimental results on our coated particle dataset demonstrate that the proposed method achieves 95 % Intersection over Union (<em>IoU</em>) with an average of only 2.5 user clicks. When the number of interactions increases to five, the mean <em>IoU</em> (<em>mIoU</em>) reaches 97.12 %, consistently outperforming existing interactive segmentation networks.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 390-405"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046970","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 damage induced by oxidation in silicon wafer polishing: Mechanisms and mitigation strategies","authors":"Chongyang Li,&nbsp;Peixin Chen,&nbsp;Anmin Hu,&nbsp;Ming Li","doi":"10.1016/j.jmapro.2025.09.022","DOIUrl":"10.1016/j.jmapro.2025.09.022","url":null,"abstract":"<div><div>Surface damage induced by oxidation is a critical challenge in silicon wafer thinning during advanced semiconductor manufacturing, as it directly affects the reliability and performance of devices. This study investigates the mechanisms underlying oxidation-induced surface damage during dry polishing of silicon wafers and proposes mitigation strategies. By integrating chemical etching, transmission electron microscopy (TEM), and Raman spectroscopy, we demonstrate that a nanoscale amorphous SiOx layer forms due to mechanochemical oxidation at higher feed speeds, resulting in significant surface damage and increased surface roughness. Nano-scratch testing confirms that this oxidation process, driven by high mechanical and chemical interaction during polishing, plays a dominant role in surface damage formation. Our findings reveal that reducing the feed speed effectively minimizes SiOx layer formation and promotes damage-free surfaces. This work provides a deeper understanding of surface oxidation mechanisms in silicon wafer polishing and offers practical guidance for optimizing processing parameters to improve surface quality and enhance reliability in semiconductor applications.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 319-325"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027286","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":"Penetration-state recognition in magnetic field-assisted molten pool oscillation based on adaptive variational mode decomposition of arc voltage and hybrid deep learning","authors":"Zihao Qin ,&nbsp;Xuejun Zheng ,&nbsp;Zhichao Fan ,&nbsp;Wujie Leng ,&nbsp;Bing Wang ,&nbsp;Dingyao Fu","doi":"10.1016/j.jmapro.2025.08.081","DOIUrl":"10.1016/j.jmapro.2025.08.081","url":null,"abstract":"<div><div>Alternating cusp-shaped magnetic field, which can be used to effectively control welding quality, can significantly enhance the regular molten-pool oscillation signal during tungsten inert gas (TIG) welding; however, the nonlinear arc voltage signal causes the accuracy of penetration-state recognition to be very low. A novel method of performing penetration-state recognition that utilizes magnetic field-assisted molten-pool oscillation based on adaptive variational mode decomposition (VMD) of the arc voltage and hybrid deep learning is proposed in this paper. A subtractive averaging-based optimizer (SABO)-VMD algorithm was selected to preprocess the arc voltage signals, in which the adaptive bandwidth optimization mechanism can dynamically adjust the parameters according to the signal characteristics to achieve the global optimal solution, thereby enhancing the quality of the signal decomposition. After the hyperparameters of the convolutional neural network (CNN) and support vector machine (SVM) were optimized by the rime optimization algorithm (RIME) and the grid search algorithm, respectively, the CNN-SVM classification algorithm was constructed by combining the powerful feature-extraction capabilities of the CNN and the efficient classification performance of the SVM. The nonlinear components of the arc voltage signal were separated by the SABO-VMD algorithm to obtain multiple intrinsic mode functions (IMFs) with different frequencies and amplitudes; this was done so that the eigenvector of the molten-pool penetration state could be extracted from the IMF with the lowest envelope entropy. Then, the CNN-SVM classification algorithm was used to recognize the penetration-state. The results show that the proposed method is robust and that its recognition accuracy can reach 95 % for various welding speeds.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 357-377"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027191","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":"Manufacturing of high entropy alloys reinforced metallic matrix materials: Review and perspectives","authors":"Junchen Li ,&nbsp;Sihao Chen ,&nbsp;Xiangchen Meng ,&nbsp;Yuming Xie ,&nbsp;Xiaotian Ma ,&nbsp;Yaobang Zhao ,&nbsp;Yongxian Huang","doi":"10.1016/j.jmapro.2025.09.018","DOIUrl":"10.1016/j.jmapro.2025.09.018","url":null,"abstract":"<div><div>High entropy alloys (HEAs) possess significant potentials as the reinforcement of light-weight metallic matrix composites (MMCs), due to their superior mechanical, functional properties as well as better interfacial compatibility with matrix. Here, we provide a critical review on the state-of-the-art for the manufacturing of HEAs-reinforced MMCs. The detailed fabrication processes of HEAs-reinforced MMCs including casting, laser forming, powder metallurgy, mechanical alloying and friction stir processing are reviewed, considering the fabrication parameters, microstructural evolutions, mechanical properties and strengthening mechanisms. Additionally, interfacial diffusion behaviors, recrystallization behaviors, anti-corrosion properties of HEAs-reinforced MMCs and also the underlying mechanisms are reviewed and discussed. The development tendency is proposed, including investigate the applicable manufacturing process to fabricate HEAs-reinforced MMCs with comprehensive properties and establish the criteria between the HEAs-reinforcements systems and the process parameters.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 326-345"},"PeriodicalIF":6.8,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027287","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":"Exploring starch casting as an alternative for the manufacturing of thermosetting polymers","authors":"Stephanie Andress ,&nbsp;Jack Czyz ,&nbsp;Sophie Bates ,&nbsp;James Gibert ,&nbsp;Jeffrey F. Rhoads","doi":"10.1016/j.jmapro.2025.07.069","DOIUrl":"10.1016/j.jmapro.2025.07.069","url":null,"abstract":"<div><div>This work explores the feasibility of using starch casting, a fabrication technique commonly used in confectionery production, for the manufacturing of thermosetting polymers. The goal of this work is to offer an alternative to fixed molding methods that minimizes tooling cost and waste while maintaining throughput and geometric flexibility. In this method, a positive die geometry is used to imprint molds into a powdered starch bed, leaving negative molds that can be filled with a liquid polymer. A range of polymers were successfully cast using this technique, including an epoxy, polydimethylsiloxane (PDMS), and polyurethane (PU) with <span><math><mrow><mo>&lt;</mo><mn>0</mn><mo>.</mo><mn>05</mn><mspace></mspace><mi>mm</mi></mrow></math></span> of geometric deviation from the nominal geometry achieved under near-optimal processing conditions. Results indicate that polymer viscosity plays a significant role in the utility of this casting method, with best results achieved with viscosities between 60-120 Pa<span><math><mi>⋅</mi></math></span>s, independent of the polymer tested. In addition, limits on mold creation parameters including compaction pressure and starch moisture content were identified, with critical process parameters determined by measuring the geometric fidelity of the cast materials. This work demonstrates the potential to further develop this manufacturing method as an alternative fabrication technique that is an intermediate between the high scalability of traditional casting processes, and the geometric flexibility of additive manufacturing.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"153 ","pages":"Pages 257-267"},"PeriodicalIF":6.8,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020023","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}