Volume 2: 42nd Computers and Information in Engineering Conference (CIE)最新文献

Human Grasping Force Prediction, Measurement, and Validation for Human-Robot Lifting 人类抓取力预测，测量和验证的人机升降

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89752

Asif Arefeen, J. Quarnstrom, Shahbaz P Qadri Syed, H. Bai, Y. Xiang

{"title":"Human Grasping Force Prediction, Measurement, and Validation for Human-Robot Lifting","authors":"Asif Arefeen, J. Quarnstrom, Shahbaz P Qadri Syed, H. Bai, Y. Xiang","doi":"10.1115/detc2022-89752","DOIUrl":"https://doi.org/10.1115/detc2022-89752","url":null,"abstract":"\u0000 In this study, a 13 degrees of freedom (DOFs) three-dimensional (3D) human arm model and a 10 DOFs 3D robotic arm model are used to validate the grasping force for human-robot lifting motion prediction. The human arm and robotic arm are modeled in Denavit-Hartenberg (DH) representation. In addition, the 3D box is modeled as a floating-base rigid body with 6 global DOFs. The human-box and robot-box interactions are characterized as a collection of grasping forces. The joint torque squares of human arm and robot arm are minimized subjected to physics and task constraints. The design variables include (1) control points of cubic B-splines of joint angle profiles of the human arm, robotic arm, and box; and (2) the discretized grasping forces during lifting. Both numerical and experimental human-robot liftings were performed with a 2 kg box. The simulation reports the human arm’s joint angle profiles, joint torque profiles, and grasping force profiles. The comparisons of the joint angle profiles and grasping force profiles between experiment and simulation are presented. The simulated joint angle profiles have similar trends to the experimental data. It is concluded that human and robot share the load during lifting process, and the predicted human grasping force matches the measured experimental grasping force reasonably well.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121835244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing 激光粉末床熔融增材制造过程中的数据集成

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-91034

Milica Perisic, Yan Lu, Albert T. Jones

{"title":"In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing","authors":"Milica Perisic, Yan Lu, Albert T. Jones","doi":"10.1115/detc2022-91034","DOIUrl":"https://doi.org/10.1115/detc2022-91034","url":null,"abstract":"\u0000 Additive manufacturing (AM) is a powerful technology that can create complex metallic parts and has the potential to improve the economic bottom line for various industries. However, due to process instabilities, and the resulting material defects that impact the part quality, AM still isn’t as widely used as it could be. To overcome this situation, it is crucial to develop an environment for easy, in-process monitoring and real-time control to detect process anomalies and predict part defects as quickly as possible. AM in-process monitoring measures various process variables and the sensors generate large volumes of structured or unstructured, 1D, 2D, and 3D data, some of which are acquired at very high frequencies. Integration of such data and their analysis are necessary for effective in-process monitoring and real-time control, but they are facing many challenges due to the characteristics of AM in-process data. This paper provides an overview of different in-process monitoring data sources and their connection methods and addresses the integration issues associated with acquiring and fusing the data for both on-fly control and offline analysis. The paper also presents a guideline to help high-speed data integration. This guideline can help users to decide the best data-integration configuration for a specific use case.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated CAD Modelling of Cam Profiles and FEA Fatigue Analysis of Cam-Follower Mechanisms 凸轮轮廓的CAD自动化建模及凸轮从动件机构的有限元疲劳分析

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90235

Krishnajith Theril, Shengyong Zhang

{"title":"Automated CAD Modelling of Cam Profiles and FEA Fatigue Analysis of Cam-Follower Mechanisms","authors":"Krishnajith Theril, Shengyong Zhang","doi":"10.1115/detc2022-90235","DOIUrl":"https://doi.org/10.1115/detc2022-90235","url":null,"abstract":"\u0000 This paper illustrates a method to automate the 3D designing process of Simple harmonic motion (SHM) cam profile in CATIA CAD package. In a more user-friendly approach, a graphical user interface (GUI) is developed, where the users can enter the cam parameters and obtain 3D CAD model as direct result. It is observed that 90% time will be reduced by using this automated designing and also chance of errors also reduces. Due to the high follower load impacting on cam profile, high contact stresses induced on the component surfaces due to the asperity contacts cause the cam or roller surfaces to be subjected to high risk of contact fatigue failure. Present work focuses on comparing fatigue life of SHM and Cycloidal cam functions. The fatigue life is assessed using finite element analysis (FEA) in ANSYS Workbench. We have considered follower as flat-faced and frictionless contact between cam and follower in this study. After developing the 3D model of SHM and cycloidal cam profile through automated method, both the models were then imported to ANSYS for fatigue analysis under the same loading conditions. It has been found that cycloidal function has more fatigue life than SHM function.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126036011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Data-Driven Design Approach for Carbon Emission Prediction of Machining 加工碳排放预测的数据驱动设计方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90465

Yuxuan Chen, W. Yan, Hua Zhang, Y. Liu, Zhigang Jiang, Xumei Zhang

{"title":"A Data-Driven Design Approach for Carbon Emission Prediction of Machining","authors":"Yuxuan Chen, W. Yan, Hua Zhang, Y. Liu, Zhigang Jiang, Xumei Zhang","doi":"10.1115/detc2022-90465","DOIUrl":"https://doi.org/10.1115/detc2022-90465","url":null,"abstract":"\u0000 The issue of carbon emission reduction for manufacturing industry attracts increasing attention. As a major contributor in the manufacturing industry, machining has generated large amounts of carbon emissions through the resource consumption, energy consumption, and waste disposal. The carbon emission prediction of machining is a priori technology for its reduction, and has been established as one of the most crucial research targets. The purpose of this study is to design a carbon emission prediction model of machining through a data-driven approach. First of all, the multiple sources and impact factors of carbon emissions in machining are studied, and the relationship between these factors is also studied to describe the carbon emissions. Then, a data-driven approach is designed to predict the carbon emission of machining, which consists of data collection and preprocessing, feature extraction, prediction model establishment and model validation. The ridge regression, BP neural network based on Genetic Algorithm (GA-BP), root means square error (RMSE) and mean relative percentage error (MPAE) are respectively employed to fulfill the above tasks in the design approach. Finally, an experimental study of a real turning machining is proposed to verify the feasibility and merits of the designed approach.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114948337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration 基于非刚体迭代最近邻点配准的动态三维网格重建

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90073

Farzam Tajdari, Felix Kwa, Christiaan Versteegh, T. Huysmans, Yu Song

{"title":"Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration","authors":"Farzam Tajdari, Felix Kwa, Christiaan Versteegh, T. Huysmans, Yu Song","doi":"10.1115/detc2022-90073","DOIUrl":"https://doi.org/10.1115/detc2022-90073","url":null,"abstract":"\u0000 Fitting apparel and apparel in performing different activities is essential for the functional yet comfortable experience of the user. 4D scans, i.e. 3D scans in continuous timestamps, of the body (part) in performing those activities are the basis for the design of garments/apparel in 4D. In this paper, we proposed a semi-automatic workflow for constructing 4D scans of the body parts with the emphasis on registering noisy scans at a given timestamp. Continuous 3D scans regarding the moving body parts are captured first from different depth cameras from different view angles. In a given timestamp, the collected 3D scans are roughly aligned to a template using the rigid Iterative Closest Points (ICP) algorithm. Then these scans are further registered using a newly proposed non-rigid Iterative Closest-Farthest Points (ICFP) algorithm, in which correspondences between the source and the target are established by either closest or farthest points based on the newly defined logical distance concept and the probability theory. Experimental results indicated that the ICFP method is robust against noise and the scanning accuracy can be as high as 3.4 %. It also reveals that, for the human foot, the differences of ball width and ball angles between the loaded and the unloaded situation can be as large as 8 mm and 2 degrees, respectively. This highlights the importance of using 4D scan in designing garments and apparel.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114277994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation From Online Reviews 面向在线评论用户需求的面向情感导向的意见总结

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90108

Yi Han, Mohsen Moghaddam, Meet Tusharbhai Suthar, Gaurav Nanda

{"title":"Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation From Online Reviews","authors":"Yi Han, Mohsen Moghaddam, Meet Tusharbhai Suthar, Gaurav Nanda","doi":"10.1115/detc2022-90108","DOIUrl":"https://doi.org/10.1115/detc2022-90108","url":null,"abstract":"\u0000 Extracting and analyzing informative user opinion from large-scale online reviews is a key success factor in product design processes. However, user reviews are naturally unstructured, noisy, and verbose. Recent advances in abstractive text summrization provide an unprecedented opportunity to systematically generate summaries of user opinions to facilitate need finding for designers. Yet, two main gaps in the state-of-the-art opinion summarization methods limit their applicability to the product design domain. First is the lack of capabilities to guide the generative process with respect to various product aspects and user sentiments (e.g., polarity, subjectivity), and the second gap is the lack of annotated training datasets for supervised learning. This paper tackles these gaps by (1) devising an efficient and scalable methodology for abstractive opinion summarization from online reviews guided by aspects terms and sentiment polarities, and (2) automatically generating a reusable synthetic training dataset that captures various degrees of granularity and polarity. The methodology contributes a multi-instance pooling model with aspect and sentiment information integrated (MAS), a synthetic data assembled using the results of the MAS model, and a fine-tuned pretrained sequence-to-sequence model “T5” for summary generation. Numerical experiments are conducted on a large dataset scraped from a major e-commerce retail store for sneakers to demonstrate the performance, feasibility, and potentials of the developed methodology. Several directions are provided for future exploration in the area of automated opinion summarization for user-centered product design.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130356342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism 基于多尺度注意机制的材料去除状态预测方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-90919

Zhihang Li, Qian Tang, Y. Liu, X. Li

{"title":"A Material Removal State Prediction Method Based on Multi-Scale Attention Mechanism","authors":"Zhihang Li, Qian Tang, Y. Liu, X. Li","doi":"10.1115/detc2022-90919","DOIUrl":"https://doi.org/10.1115/detc2022-90919","url":null,"abstract":"\u0000 The exact removal of material in abrasive belt grinding determines the final machining quality of the workpiece. However, it is difficult to determine the removal state of materials in actual processing, which is affected by factors such as abrasive belt wear and processing errors. Therefore, a multi-scale attention convolutional neural network for material removal state prediction method is proposed based on the analysis of displacement data. First, the first-order difference and sliding-window expansion methods for displacement data are adopted, making it possible to use displacement data for deep learning, which is the premise of material removal state prediction. Then, the multi-scale convolutional neural network is Employed to extract important features of the displacement data. Due to the different importance of different features, Squeeze-and-Excitation Networks are used to independently assign the importance of features based on the loss function, so that the model pays more attention to those main features and ignores the secondary features, which can improve the convergence speed and prediction accuracy of the model. The K6 cross-validation of experiment results shows that this method can accurately predict the material removal state with an average prediction accuracy of 87.9%, which can be practically applied to the online prediction of the material removal state in industrial processing to further control the processing quality.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124163819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying Vision Obscuration of A-Pillar Concept Variants Using Digital Human Modeling 使用数字人体建模量化a柱概念变体的视觉遮挡

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89781

Sriram Srinivasan, H. Demirel

{"title":"Quantifying Vision Obscuration of A-Pillar Concept Variants Using Digital Human Modeling","authors":"Sriram Srinivasan, H. Demirel","doi":"10.1115/detc2022-89781","DOIUrl":"https://doi.org/10.1115/detc2022-89781","url":null,"abstract":"\u0000 Pillars in modern vehicles provide structural integrity by surrounding the greenhouse (windshield, rear, and side windows) and joining the roof with the frame. The forward-most roof support posts, A-pillars, straddle the windshield and have an essential design impact that affects the aerodynamic performance, roof crush, and frontal impact performance. Although they protect the driver and passengers, A-pillars also create obstruction zones by limiting drivers’ forward field of view (FOV). Therefore, the reduced forward vision caused by the obstruction zones leads to unforeseeable accidents or mishaps. We argue that providing a better pillar design that embodies a human-centered design approach could avoid such incidents. In this research, we propose an early design framework that integrates methods of generative design (GD) and digital human modeling (DHM) to demonstrate a proof-of-concept study that focuses on quantifying A-pillar obstruction in realistic traffic scenarios. This research also aims to illustrate how the framework functions through a case study, which compares concept pillar designs with cutout sections (see-through holes) to current pillar models (without see-through holes) in reducing the obstruction zones. The framework is used to assess whether the concept design approach improves the overall drivers’ visibility of traffic objects that would otherwise be obscured behind current pillars.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115820328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stress Trajectory Guided Structural Design and Topology Optimization 应力轨迹导向结构设计与拓扑优化

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-89030

Junpeng Wang, Jun Wu, R. Westermann

{"title":"Stress Trajectory Guided Structural Design and Topology Optimization","authors":"Junpeng Wang, Jun Wu, R. Westermann","doi":"10.1115/detc2022-89030","DOIUrl":"https://doi.org/10.1115/detc2022-89030","url":null,"abstract":"\u0000 Density-based topology optimization using global and local volume constraints is a key technique to automatically design lightweight structures. It is known that stiffness optimal structures comprise spatially varying geometric patterns that span multiple length scales. However, both variants of topology optimization have challenges to efficiently converge to such a structural layout. In this paper, we investigate material layouts that are generated from stress trajectories, i.e., to compile a globally consistent structure by tracing the stress trajectories from finite element simulation of the solid design domain under external loads. This is particularly appealing from a computational perspective, since it avoids iterative optimization that involves finite element analysis on fine meshes. By regularizing the thickness of each trajectory using derived strain energy measures along them, stiff structural layouts can be generated in a highly efficient way. We then shed light on the use of the resulting structures as initial density fields in density-based topology optimization, i.e., to generate an initial density field that is then further optimized via topology optimization. We demonstrate that by using a stress trajectory guided density initialization in lieu of a uniform density field, convergence issues in density-based topology optimization can be significantly relaxed at comparable stiffness of the resulting structural layouts.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117318926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A System Approach to Contact Fatigue Life Estimation of Right-Angled Geared System 直角齿轮传动系统接触疲劳寿命估算的系统方法

Volume 2: 42nd Computers and Information in Engineering Conference (CIE) Pub Date : 2022-08-14 DOI: 10.1115/detc2022-87433

Srikumar C. Gopalakrishnan, Abhijit Nilangekar, J. Chung, Yogesh Mehta, B. Kanade

{"title":"A System Approach to Contact Fatigue Life Estimation of Right-Angled Geared System","authors":"Srikumar C. Gopalakrishnan, Abhijit Nilangekar, J. Chung, Yogesh Mehta, B. Kanade","doi":"10.1115/detc2022-87433","DOIUrl":"https://doi.org/10.1115/detc2022-87433","url":null,"abstract":"\u0000 The right-angled geared systems are used in automotive and aerospace applications. Most of the right-angled geared systems fail due to contact fatigue. Several articles reported discussing contact fatigue failure of parallel axis geared systems, and the contact fatigue conditions of hypoid and spiral bevel geared systems are seldom studied. This work aims to bridge the gap and proposes a simplified method to model contact fatigue in the right-angled geared system under dry contact conditions. Initially, the gear contact is modeled using a tooth contact analysis methodology for a given load, speed, and operating conditions. The above step is followed by obtaining stress histories based on suitable interpolation conditions, finite element computation, and Hertzian contact conditions. These stress histories form the basis of the Characteristic plane method. The contact fatigue life of the gears is calculated based on the equivalent bending amplitude of a multiaxial stress condition. The equivalent bending amplitude is then used to determine the number of cycles of operation the gear can endure from the SN-curve for that material. This method is then used to perform parametric analysis based on the size, material type, and gear contact ratio.","PeriodicalId":382970,"journal":{"name":"Volume 2: 42nd Computers and Information in Engineering Conference (CIE)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0