Optimization of combined endoreversible Carnot heat engines with different objectives

Taking the output power, thermal efficiency, and thermo-economic performance as the optimization objectives, we optimize the operation parameters of a thermodynamic system with combined endoreversible Carnot heat engines in this paper. The applicabilities of the entropy generation minimization and entransy theory to the optimizations are discussed. For the discussed cases, only the entransy loss coefficient is always agreeable to the optimization of thermal efficiency. The applicabilities of the other discussed concepts to the optimizations are conditional. Different concepts and principles are needed for different optimization objectives, and the optimization principles have their application preconditions. When the preconditions are not satisfied, the principles may be not applicable.

Parameters and Trajectory Overall Optimization Design of the Combined Cycle Engine Reusable Launch Vehicle

Reusable launch vehicle is an important way to realize fast,cheap and reliable space transportation.A combined cycle engine system provides a more efficient and flexible form of power.The investigation on the research status of the combined cycle engine technology,including basic principle,research programs and classification of structure is firstly discussed in this paper.Then the bilevel hierarchical and integrated parameters/trajectory overall optimization technologies are applied to improve the efficiency and effectiveness of overall vehicle design.Simulations are implemented to compare and analyze the effectiveness and adaptability of the two algorithms,in order to provide the technical reserves and beneficial references for further research on combined cycle engine reusable launch vehicles.

Engineering Geological Zoning of Soft-Soil Foundation Based on Combination Weighting and Extension Methods

Different criteria and factors are used in different methods of soft soil foundation settlement calculation and engineering geological zoning.The methods used are not universally suitable for complex geological environments.The post-construction settlement of soft soil foundations are especially large and difficult to calculate.In addition,there are many deficiencies in the current methods used for engineering geological zoning.Focusing on the need of establishing engineering geological zoning for areas with soft soil foundations in the Tianjin Marine Economic Area,combination weighting and extension methods were introduced.An evaluation model for the settlement of soft soil foundations was established using multiple factors and large amounts of data.This evaluation model is accurate and objective for delineating engineering geological zoning.These methods eliminate deficiencies by considering both objective and subjective factors,and help obtain an objective and accurate result.

Advances in extracellular vesicle-based combination therapies for spinal cord injury

Spinal cord injury is a severe insult to the central nervous system that causes persisting neurological deficits.The currently available treatments involve surgical,medical,and rehabilitative strategies.However,none of these techniques can markedly reverse neurological deficits.Recently,extracellular vesicles from various cell sources have been applied to different models of spinal cord injury,thereby generating new cell-free therapies for the treatment of spinal cord injury.However,the use of extracellular vesicles alone is still associated with some notable shortcomings,such as their uncertainty in targeting damaged spinal cord tissues and inability to provide structural support to damaged axons.Therefore,this paper reviews the latest combined strategies for the use of extracellular vesicle-based technology for spinal cord injury,including the combination of extracellular vesicles with nanoparticles,exogenous drugs and/or biological scaffold materials,which facilitate the targeting ability of extracellular vesicles and the combinatorial effects with extracellular vesicles.We also highlight issues relating to the clinical transformation of these extracellular vesicle-based combination strategies for the treatment of spinal cord injury.

Study on Combination of Engine/Steam Turbine Cycle for Improving the Energy Conversion

This work discusses the combination of two thermodynamic cycles seeking to improve the overall chemical energy conversion rate into mechanical energy. Here one engine operates according a Rankine cycle in order to use part of the thermal energy released to the boundary, i.e., the neighboring atmosphere. The analysis of this combined cycle shows that it might, under proper condition, represent a gain of 1.2% in the overall delivered engine power.

基于MATLAB engine的自动控制理论仿真实验设计

介绍了一种通过采用MATLAB engine函数进行数据传输的MATLAB与VC++联合编程的方法,并给出在“自动控制理论”仿真实验中的应用。这种方法用VC++设计前台用户界面,将MATLAB作为后台的计算与绘图引擎。因此无需学生掌握MATLAB语言的编程方法,就能达到仿真实验目的,掌握控制理论的关键知识点。

Optical investigations on lean combustion improvement of natural gas engines via turbulence enhancement

In the global background of“Carbon Peak”and“Carbon Neutral”,natural gas engines show great advantages in energy-saving and pollution reduction.However,natural gas engines suffer from the issues of combustion instabilities when operating under lean burning conditions.In this paper,the role of turbulence enhancement in improving the lean combustion of natural gas was investigated in an optical SI engine with high compression ratios.Variable swirl control valves(SCV)were designed and intake tumble and swirl were combined to regulate turbulent motion and turbulent intensity.Particle image velocimetry was employed to measure in-cylinder turbulence,and transient pressure acquisition and high-speed photography were synchronously performed to quantify combustion evolutions.The results show that incylinder turbulent intensity is enhanced significantly through reducing SCV closing angles.Such that flame propagation speed and thermal efficiency are significantly improved with an increment of turbulent intensity,which indicated that mean effective pressures are not sensitive to spark timing.The analysis of flame images shows that the combined turbulence increases in the radial orientation from the spark plug to the cylinder wall,leading to an earlier flame kernel formation and a faster burning rate.Therefore,the combined turbulence has the potential in reducing the cyclic variations of lean combustion in natural gas engines.

A New Design of Student Apartment Bed Based on Kansei Engineering and Ergonomics

Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, and its design direction is gotten through the questionnaire and the design starts from the real actual needs of students. After the original design was finished, the later investigation on the students was engaged with and made the engineering analysis. The conclusion is that the sum of ＂perfect＂ and ＂good＂ membership rates is up to 64%, hence the comprehensive assessment of the design is perfect. That is to say, this design is able to realize and meet the needs of users, and there is no doubt that it will have a good business prospects.

Exploration on the Long-term Education System of Software Engineering

It is a challenge to cultivate senior and comprehensive talents in software engineering.To promote the quality of software engineering education,this paper proposes a new education model of long-term education system and combines Bachelor-Master degree program by mirroring the experience of higher engineering education in the world and integrating with the current situation of universities and industries in China.The proposed model joins the higher degree education with vocational education by carrying out the interdisciplinary and university-enterprise joint education.The demonstration shows that this education model has its necessity and feasibility in China higher education,and provides a reference to improve the education quality for the higher engineering education in China.

基于基础与专业相融合的研究型实验教学方法探索

以卓越工程师教育为背景,针对创新型、实践型工程技术人才培养目标,该文将笔者多年课堂教学、实验教学和相关科研工作的经验融入到实验教学中,探索基础与专业相融合的研究型实验教学方法。方法注重学生对基础知识与专业应用的融合训练,基于基础实验系统和综合开放式实验平台,通过对学生在基础电路测试、知识分解、电路独立设计与测试方面的训练,帮助学生创新性和科学研究素养的培养。该文方法在教学实践中进行应用,并起到较好的效果。

基于平纵组合的山区高速公路连续下坡路段行车安全评价方法

受制于地理和经济条件,山区高速公路在建设中不可避免会存在连续下坡路段,其中平纵组合路段对车辆稳定性和安全性提出了更高的要求。为分析山区高速公路连续下坡平纵组合路段的行车安全,利用西南山区高速公路数据,以80 km/h的设计速度,在连续下坡路段的不同位置、不同平纵组合工况构建了驾驶仿真实验。根据驾驶者的心理数据、车辆速度变化数据和横向偏移数据推出综合评价指标;将综合评价指标与平曲线半径和纵坡进行相关性分析;再通过累计频率图划分评价阈值;提出了基于平纵组合的连续下坡路段行车安全评价方法,并依托评价方法提出了连续下坡路段坡顶、坡中和坡底位置的平纵组合设计建议值;并以西南山区某高速公路为例对该评价方法进行了应用与验证。研究结果表明:该方法能为高速公路连续下坡路段的行车安全评价提供有效的参考依据。

油气管道组合缺陷漏磁检测信号数值模拟研究

为解决管道组合缺陷之间漏磁检测信号互相干扰,难以识别的问题,采用有限元方法建立仿真模型,研究管道内外、不同形状缺陷以及内外组合缺陷邻近情况下的漏磁场检测信号规律。研究结果表明:管道缺陷的漏磁检测信号在其轴向和径向分量上均存在显著差异;组合缺陷的检测信号存在相互干扰且具有一定的叠加性;当缺陷深度约为管壁厚的10%、25%、40%时,轴向信号干扰距离分别约为缺陷长度的1倍、2倍、3倍,径向信号干扰距离均约为长度的4倍,组合缺陷径向信号的互相干扰程度大于轴向信号,缺陷深度对轴向信号的影响大于径向信号。研究结果可为油气管道组合缺陷的识别提供理论依据。

基于组合赋权三维云评估技术的深部煤矿顶板事故风险分析

为了更好地对深部煤矿顶板事故展开风险评价,提出了组合赋权三维云评估技术。基于事故统计及事故致因理论,对深部煤矿顶板事故风险指标体系展开研究,采用博弈论对改进层次分析法(Analytic Hierarchy Process,AHP)和熵权法进行博弈分析,以实现风险指标的组合赋权,通过构建三维云模型,对深部煤矿顶板事故危险性进行可视化分析。结果表明:包括行为、技术、设备、环境、管理5大风险因素在内的一级指标并其下20个二级风险指标是深部煤矿顶板事故风险评价指标体系的主体内容,且以环境风险权重最大;由三维云评估技术分析可知,平煤九矿的顶板事故风险级别为Ⅲ级,即修复后可接受,与该矿生产实际情况相符。组合赋权三维云评估技术的提出有助于完善深部煤矿顶板事故风险评价方法,可应用于工程实践。

基于组合深度学习的轨道交通短时进站客流预测模型

针对轨道交通短时进站客流考虑不充分和特征学习不全面而导致预测精度不高的问题,选取客流特征、天气、空气质量和道路交通拥堵指数等多个因素,提出了一种基于组合深度学习的轨道交通短时进站客流预测模型(CNN-ResNet-BiLSTM)。基于卷积神经网络(CNN)对多因素客流时间序列进行自动提取,在CNN网络中插入多个残差神经网络(ResNet)来加深网络深度,利用双向长短时记忆神经网络(BiLSTM)捕捉前后两个方向的客流时间序列特征并得到预测结果;以杭州市全网80个站点工作日的进站客流为例,验证了该模型的有效性。研究结果表明:与常用的几种模型相比,多因素CNN-ResNet-BiLSTM组合模型的均方根误差(E RMS)至少降低了8.50%,平均绝对误差(E MA)至少降低了6.74%,平均绝对百分比误差(E MPA)至少降低了6.52%。

Prophet-LSTM组合模型在运输航空征候预测中的应用

为准确预测中国运输航空征候万时率,提出了一种将时间序列模型和神经网络模型组合的预测方法。首先,利用2008年1月—2020年12月的运输航空征候万时率数据建立Prophet模型,使用RStudio软件进行模型拟合,获取运输航空征候万时率的线性部分;其次,利用长短期记忆网络(Long Short-Term Memory,LSTM)建模,获取运输航空征候万时率的非线性部分;最后,利用方差倒数法建立Prophet-LSTM组合模型,使用建立的组合模型对2021年1—12月运输航空征候万时率进行预测,将预测结果与实际值进行对比验证。结果表明,Prophet-LSTM组合模型的EMA、EMAP、ERMS分别为0.0973、16.1285%、0.1287。相较于已有的自回归移动平均(Auto Regression Integrated Moving Average,ARIMA)+反向传播神经网络(Back Propagation Neural Network,BPNN)组合模型和GM(1,1)+ARIMA+LSTM组合模型,Prophet-LSTM组合模型的EMA、EMAP、ERMS分别减小了0.0259、10.4874百分点、0.0143和0.0128、2.0599百分点、0.0086,验证了Prophet-LSTM组合模型的预测精度更高,性能更优良。

基于要素稠度的电子海图矢量瓦片组合构建方法

为进一步提升基于WebGIS技术的电子海图在前端的加载效率,对海图矢量瓦片的划分方法进行深入研究。在考虑要素空间分布稠度的基础上,提出一种海图瓦片的组合格网划分方法。在四叉树划分过程中引入矢量瓦片数据阈值将其改造成非平衡四叉树,作为瓦片划分的第1阶段,在瓦片划分至单瓦片最大数据量小于数据阈值后,通过融合变异系数的二叉树对瓦片进行第2阶段的划分。将组合格网法、原始均匀格网法和改进均匀格网法生成的矢量瓦片数据与试验结果进行对比。研究结果表明,在瓦片第3~第9层级范围内,相对于2种均匀格网法,基于要素稠度的组合格网法生成的矢量瓦片在同一层级的标准差更小,矢量要素在瓦片上的分布更加均衡,在同一视窗范围内,组合格网法生成的瓦片加载时间更短。

德才兼备视域下环境工程创新人才培养路径探索与实践

新时代背景下环境工程专业面临着创新型人才培养需求与国家绿色发展战略的双重炙烤。在这种形势下,环境工程专业该如何应对自身发展的机遇与挑战,是一个值得深思的问题。该文针对现有环境工程专业人才培养模式的问题和不足,结合学校特色对德才兼备视域下环境工程创新人才培养的路径进行思考与探索,提出“德育”+“能力”共培养的环境工程专业创新人才培养体系,并详细介绍可应用实践的方法、措施,以期对国家省属高校的环境工程专业人才培养有所参考。

动态气门运行特性及二冲程制动性能耦合研究

基于自主研发的变模式气门驱动装置,进行发动机和该气门驱动装置联合仿真,研究了二者的强耦合运行特性,为该装置的装机应用提供理论依据.研究结果表明:缸内压力和气门运行之间的强耦合关系在上止点附近排气门运行阶段尤为明显,尤其是在2300 r/min以下,发动机转速越高,气门动态升程损失程度越大,最大缸内压力越高;高于该转速后,二者变化程度逐渐减小;排气制动凸轮在上止点后设置过渡升程可消除排气门反跳的问题,并且可进一步改善制动功率和最大缸内压力之间的矛盾关系;与理想四冲程制动相比,二冲程制动的制动功率明显增加,最大缸内压力明显降低,发动机转速分别为1600、1900和2400 r/min时,实际二冲程制动功率分别提高了35.94%、45.61%和27.54%,最大缸内压力分别降低了45.42%、27.20%和7.35%.

机械制造工艺学课程教学改革实施途径研究

机械制造工艺学课程实践性强,通过优化课程教学内容,采用CDIO工程教育、并行教学、四位一体混合式教学相结合的教学模式,开展教学改革。CDIO工程教育有利于开展研究性教学,提升学生的自主学习能力;并行教学有利于理论教学与实践教学的交叉融合,改善理论教学与实践教学脱节的问题;四位一体混合式教学有利于开展综合性的实践教学,培养学生的工程应用能力。通过实践教学改革,学生的自主学习能力、工程应用能力、创新意识和创新能力显著提升。