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绿色金融发展对企业碳排放的影响

金融理论探索 2025年第1期 42-56页

作者：申琳李浩楠杭州电子科技大学经济学院浙江杭州310018

作为传统金融的延伸,绿色金融的碳减排作用受到实践者与政策制定者的广泛关注,但学者们对于绿色金融能否抑制碳排放的研究结论并未达成一致。本文通过构建更加完善的绿色金融测度综合评价体系,基于2000—2021年上市企业微观数据,实证考... 详细信息

作为传统金融的延伸,绿色金融的碳减排作用受到实践者与政策制定者的广泛关注,但学者们对于绿色金融能否抑制碳排放的研究结论并未达成一致。本文通过构建更加完善的绿色金融测度综合评价体系,基于2000—2021年上市企业微观数据,实证考察了绿色金融发展对企业碳排放的影响。研究发现,绿色金融的发展显著降低了企业碳排放;在考虑了环保税的调节作用后,绿色金融的碳减排效果更加明显;尤其是在中、高税率地区,环保税的调节效应更为显著。此外,绿色金融对西部地区企业、重污染企业、高新技术企业以及非“漂绿”企业的碳排放抑制效果更为突出。因此,应该进一步完善绿色金融评价体系,不断优化环保税政策,并推出差异性的绿色金融政策,同时强化监管以更好地驱动绿色发展和实现“双碳”目标。

关键词：绿色金融碳排放环保税绿色技术创新

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改善斜齿轮系统振动的低波动啮合刚度设计

机械传动 2025年第1期49卷 81-90,113页

作者：游志伟高景涛李浩南孙周薛成中国航发湖南动力机械研究所株洲412002 中南大学机电工程学院长沙410083

【目的】齿轮副时变啮合刚度作为齿轮系统最主要的内部激励之一,是齿轮系统产生振动噪声的重要原因。在以往的研究中,往往采用齿面修形和引入减振器来改善系统的振动响应,鲜有文献研究齿轮副啮合刚度波动对系统振动特性的影响。以斜齿... 详细信息

【目的】齿轮副时变啮合刚度作为齿轮系统最主要的内部激励之一,是齿轮系统产生振动噪声的重要原因。在以往的研究中,往往采用齿面修形和引入减振器来改善系统的振动响应,鲜有文献研究齿轮副啮合刚度波动对系统振动特性的影响。以斜齿轮为研究对象,提出了一种低波动啮合刚度设计方法以改善斜齿轮系统的振动特性。【方法】由于斜齿轮副在啮合过程中接触线长度会发生变化,从而产生刚度波动,因此,设计方法的核心思想是根据啮合原理推导出齿轮在啮合过程中接触线总长度变化最小所需要满足的条件;而后与有限元法进行对比,验证参数设计方法以及建立的啮合刚度模型的正确性和有效性。建立8自由度斜齿轮动力学模型,对比了优化前后反映振动能量的均方根图,分析了加载静态传递误差(Loaded Static Transfer Error,LSTE)和动态响应。最后,讨论了所提出的两种优化设计方法。【结果】结果表明,适当的参数设计可以显著降低齿轮啮合刚度波动,并优化LSTE、改善系统振动。研究结果为齿轮系统的减振设计提供了理论支持。

关键词：啮合刚度低刚度波动振动改善斜齿轮

An 8-Node Plane Hybrid Element for StructuralMechanics Problems Based on the Hellinger-Reissner Variational Principle

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1277-1299页

作者： haonan li WeiWang Quan Shen linquan Yao School of Rail Transportation Soochow UniversitySuzhou215131China Soochow College Soochow UniversitySuzhou215006China

The finite element method (FEM) plays a valuable role in computer modeling and is beneficial to the mechanicaldesign of various structural parts. However, the elements produced by conventional FEM are easily inaccurate andunstable when applied. Therefore, developing new elements within the framework of the generalized variationalprinciple is of great significance. In this paper, an 8-node plane hybrid finite element with 15 parameters (PHQ8-15β) is developed for structural mechanics problems based on the Hellinger-Reissner variational *** to the design principle of Pian, 15 unknown parameters are adopted in the selection of stress modes toavoid the zero energy ***, the stress functions within each element satisfy both the equilibrium andthe compatibility relations of plane stress problems. Subsequently, numerical examples are presented to illustrate theeffectiveness and robustness of the proposed finite element. Numerical results show that various common lockingbehaviors of plane elements can be overcome. The PH-Q8-15β element has excellent performance in all benchmarkproblems, especially for structures with varying cross sections. Furthermore, in bending problems, the reasonablemesh shape of the new element for curved edge structures is analyzed in detail, which can be a useful means toimprove numerical accuracy.

关键词： 8-node plane hybrid element Hellinger-Reissner variational principle locking behaviors structural mechanics problems

Fracture behavior and self-sharpening mechanisms of polycrystalline cubic boron nitride in grinding based on cohesive element method

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Chinese Journal of Aeronautics 2019年第12期32卷 2727-2742页

作者： Xin HUANG haonan li Zhiwen RAO Wenfeng DING College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China School of Aerospace The University of Nottingham Ningbo ChinaNingbo 315100China

Unlike monocrystalline cubic boron nitride(CBN), polycrystalline CBN(PCBN) shows not only higher fracture resistance induced by tool-workpiece interaction but also better selfsharpening capability;therefore, efforts have been devoted to the study of PCBN applications in manufacturing engineering. Most of the studies, however, remain qualitative due to difficulties in experimental observations and theoretical modeling and provide limited in-depth understanding of the self-sharpening behavior/mechanism. To fill this research gap, the present study investigates the self-sharpening process of PCBN abrasives in grinding and analyzes the macro-scale fracture behavior and highly localized micro-scale crack propagation in detail. The widely employed finite element(FE) method, together with the classic Voronoi diagram and cohesive element technique,is used considering the pronounced success of FE applications in polycrystalline material *** trials with careful observation of the PCBN abrasive morphologies are performed to validate the proposed method. The self-sharpening details, including fracture morphology, grinding force, strain energy, and damage dissipation energy, are studied. The effects of maximum grain cut depths(MGCDs) and grinding speeds on the PCBN fracture behavior are discussed, and their optimum ranges for preferable PCBN self-sharpening performance are suggested.

关键词： Cohesive element theory Finite element model Fracture behavior scale PCBN abrasive grain Voronoi diagram

Research on the Control Strategy of Micro Wind-Hydrogen Coupled System Based on Wind Power Prediction and Hydrogen Storage System Charging/Discharging Regulation

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Energy Engineering 2024年第6期121卷 1607-1636页

作者： Yuanjun Dai haonan li Baohua li College of Machine Shanghai DianJi UniversityShanghai201306China

This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of wind power generation.A predictive control strategy for the micro wind-hydrogen coupled system is proposed based on the ultra-short-term wind power prediction,the hydrogen storage state division interval,and the daily scheduled output of wind power *** control strategy maximizes the power tracking capability,the regulation capability of the hydrogen storage system,and the fluctuation of the joint output of the wind-hydrogen coupled system as the objective functions,and adaptively optimizes the control coefficients of the hydrogen storage interval and the output parameters of the system by the combined sigmoid function and particle swarm algorithm(sigmoid-PSO).Compared with the real-time control strategy,the proposed predictive control strategy can significantly improve the output tracking capability of the wind-hydrogen coupling system,minimize the gap between the actual output and the predicted output,significantly enhance the regulation capability of the hydrogen storage system,and mitigate the power output fluctuation of the wind-hydrogen integrated system,which has a broad practical application prospect.

关键词： Micro wind-hydrogen coupling system ultra-short-term wind power prediction sigmoid-PSO algorithm adaptive roll optimization predictive control strategy

Dip-Pen Nanolithography(DPN): from Micro/Nano-patterns to Biosensing

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Chemical Research in Chinese Universities 2021年第4期37卷 846-854页

作者： li haonan WANG Zhao HUO Fengwei WANG Shutao CAS Key Laboratory of Bio-inspired Materials and Interfacial Science CAS Center for Excellence in NanoscienceTechnical Institute of Physics and ChemistryChinese Academy of SciencesBeijing100190P.R.China University of Chinese Academy of Sciences Beijing100049P.R.China Key Laboratory of Flexible Electronics(KLOFE) Institute of Advanced Materials(IAM)Nanjing Tech UniversityNanjing211816P.R.China

Dip-pen nanolithography is an emerging and attractive surface modification technique that has the capacity to directly and controllably write micro/nano-array patterns on diverse *** superior throughput,resolution,and registration enable DPN an outstanding candidate for biological detection from the molecular level to the cellular ***,we overview the technological evolution of DPN in terms of its advanced derivatives and DPN-enabled versatile sensing patterns featuring multiple compositions and structures for *** from uniform,reproducible,and large-area array patterns,DPN-based biosensors have shown high sensitivity,excellent selectivity,and fast response in target analyte detection and specific cellular *** anticipate that DPN-based technologies could offer great potential opportunities to fabricate multiplexed,programmable,and commercial array-based sensing biochips.

关键词： Dip-pen nanolithography Micro/nano-array pattern Biosensing

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微机械开关传感器的集成电路应用研究

船电技术 2025年第1期45卷 29-34页

作者：韩科刘雪飞李奕龙李浩楠中国人民解放军海军潜艇学院山东青岛266042

基于微机械开关结构的传感器,作为微机械加工技术与传统电化学传感器技术相结合的产物,已经展现出其在新一代传感器技术中的独特优势。本文对各类微机械开关传感器进行了综合测试,其目的是为综合比较不同微型传感器的性能及优势,为日后... 详细信息

基于微机械开关结构的传感器,作为微机械加工技术与传统电化学传感器技术相结合的产物,已经展现出其在新一代传感器技术中的独特优势。本文对各类微机械开关传感器进行了综合测试,其目的是为综合比较不同微型传感器的性能及优势,为日后硅基板微加工技术的进一步探索提供相应支撑,同时也为微机械开关传感器在船舶开关电器的发展方面提供新的探索思路。本文经测试研究表明各类传感器在反应速度、样品量需求、灵敏度以及人体植入监测等方面均表现出不同的优势与特点,随着元件尺寸的缩小,传感器的性能得到了显著提升。随着硅基微机械加工技术的不断提升,传感器元件的尺寸有望进一步缩小,推动电化学传感器技术的进一步发展。

关键词：微机械开关传感器加工

A Spectral Convolutional Neural Network Model Based on Adaptive Fick’s Law for Hyperspectral Image Classification

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Computers, Materials & Continua 2024年第4期79卷 19-46页

作者： Tsu-Yang Wu haonan li Saru Kumari Chien-Ming Chen School of Artificial Intelligence(School of Future Technology) Nanjing University of Information Science&TechnologyNanjing210044China College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Mathematics Chaudhary Charan Singh UniversityMeerutUttar Pradesh250004India

Hyperspectral image classification stands as a pivotal task within the field of remote sensing,yet achieving highprecision classification remains a significant *** response to this challenge,a Spectral Convolutional Neural Network model based on Adaptive Fick’s Law Algorithm(AFLA-SCNN)is *** Adaptive Fick’s Law Algorithm(AFLA)constitutes a novel metaheuristic algorithm introduced herein,encompassing three new strategies:Adaptive weight factor,Gaussian mutation,and probability update *** adaptive weight factor,the algorithmcan adjust theweights according to the change in the number of iterations to improve the performance of the *** helps the algorithm avoid falling into local optimal solutions and improves the searchability of the *** probability update strategy helps to improve the exploitability and adaptability of the *** the AFLA-SCNN model,AFLA is employed to optimize two hyperparameters in the SCNN model,namely,“numEpochs”and“miniBatchSize”,to attain their optimal ***’s performance is initially validated across 28 functions in 10D,30D,and 50D for CEC2013 and 29 functions in 10D,30D,and 50D for *** results indicate AFLA’s marked performance superiority over nine other prominent optimization ***,the AFLA-SCNN model was compared with the Spectral Convolutional Neural Network model based on Fick’s Law Algorithm(FLA-SCNN),Spectral Convolutional Neural Network model based on Harris Hawks Optimization(HHO-SCNN),Spectral Convolutional Neural Network model based onDifferential Evolution(DE-SCNN),SpectralConvolutionalNeuralNetwork(SCNN)model,and SupportVector Machines(SVM)model using the Indian Pines dataset and PaviaUniversity *** experimental results show that the AFLA-SCNN model outperforms other models in terms of Accuracy,Precision,Recall,and F1-score on Indian Pines and Pavia *** them,the Accuracy of the AFLA-SCNN model on India

关键词： Adaptive Fick’s law algorithm spectral convolutional neural network metaheuristic algorithm intelligent optimization algorithm hyperspectral image classification

Effective inhibition of anomalous grain coarsening in cast AZ91 alloys during fast cooling via nanoparticle addition

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Journal of Magnesium and Alloys 2023年第12期11卷 4575-4588页

作者： haonan li Kui Wang Gaopeng Xu Haiyan Jiang Qudong Wang Yingxin Wang National Engineering Research Center of light Alloy Net FormingShanghai Jiao Tong University200240ShanghaiP.R.China State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University200240ShanghaiP.R.China

In this work, the effects of Ti CN and γ-Al_(2)O_(3) nanoparticle(NP) addition on the microstructural evolution of cast AZ91 alloys at the cooling rate ranging from 15 to 120 K/s have been systematically investigated. Experimental results reveal that grain coarsening occurs in cast AZ91 alloys when the cooling rate exceeds 90 K/s, while it can be effectively inhibited upon addition of NPs. The marked inhibition effect may originate from the formation of Ti CN or γ-Al_(2)O_(3) NP-induced undercooling zone ahead of solid/liquid(S/L) front of α-Mg, which not only can restrict grain growth effectively, but also can reactivate the native nucleants that are inactive in AZ91 melts to participate in nucleation events. And if possessing high nucleation potency, NPs can also promote further nucleation events and lead to significant grain refinement. An analytical model has been established to quantitatively account for the restriction effect of NPs on grain growth. The present work may shed a new light on the grain coarsening of cast alloys during fast cooling and provide an effective approach to circumvent it.

关键词： Grain coarsening Nanoparticles Undercooling zone Fast cooling