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performance analysis and optimization of Tesla turbine based on comprehensive operational and structural parameters

ENERGY CONVERSION AND MANAGEMENT 2025年 332卷

作者： Zhao, Yang Teng, Shiyang An, Dou Xi, Huan Xi An Jiao Tong Univ Sch Future Technol Xian Peoples R China Xi An Jiao Tong Univ Sch Energy & Power Engn Minist Educ Key Lab Thermo Fluid Sci & Engn Xian Peoples R China Xiao Jiaotong Univ Fac Elect & Informat Engn Xian Peoples R China

The Tesla turbine shows great potential in small-scale energy utilization systems. Consequently, it is crucial to investigate methods for enhancing the Tesla turbine's output performance. In response to the current situation of incomplete performance optimization process of Tesla turbine, a comprehensive analysis of its operational and structural parameters is conducted. To identify the optimal parameters and structure of the Tesla turbine in operation, a three-dimensional simulation model is developed, and the computational fluid dynamics method is employed for analysis. Additionally, a prototype of Tesla turbine is designed and manufactured, and experiments are conducted using compressed air to drive the Tesla turbine, thereby validating the reliability of the simulation model. In the study, output power and isentropic efficiency are regarded as optimization objective parameters, while key operational parameters including rotational speed, inlet pressure, and mass flow rate are also considered. The fundamental operating characteristics of the Tesla turbine are initially examined, followed by sequential analyses of the structural parameters including nozzle height, nozzle width, disc spacing, disc thickness, disc diameter, and the number of discs. Through the comprehensive optimization process, the Tesla turbine achieves significant performance improvements, resulting in an output power of 787 W and an efficiency of 32.1 %.

关键词： Tesla turbine performance analysis and optimization Computational fluid dynamics Experimental validation

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performance analysis and optimization of a supercharged Miller cycle Otto engine

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APPLIED THERMAL ENGINEERING 2003年第5期23卷 511-521页

作者： Wu, C Puzinauskas, PV Tsai, JS USN Acad Dept Mech Engn Annapolis MD 21402 USA Yung Ta Inst Technol & Commerce Dept Mech Engn Pingtung Taiwan

One of the major alternatives of the Otto cycle has been examined to determine its potential for increased efficiency and network power in the spark ignited internal combustion engine is to shorten the compression process relative to the expansion process by early close or late of intake valve. The modified Otto cycle is called Miller cycle. This paper deals with the analysis of a supercharged Otto engine adopted for Miller cycle operation. The Miller cycle shows no efficiency advantage and suffers a penalty in power output in the normally aspirated version. In the supercharged Otto engine :adopted for Miller cycle version, it has no efficiency advantage but does provide increased net work output with reduced propensity to engine knock problem. Sensitivity analysis of cycle efficiency versus early close of intake valve and that of cycle net work versus early close of intake valve are performed. optimization on the cycle efficiency is obtained. Published by Elsevier Science Ltd.

关键词： performance analysis and optimization of a supercharged Miller cycle Otto engine

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performance analysis and optimization of In-situ Integration of Simulation with Data analysis: Zipping Applications Up 18

Performance Analysis and Optimization of In-situ Integration...

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27th ACM International Symposium on High-performance Parallel and Distributed Computing (HPDC)

作者： Fu, Yuankun Li, Feng Song, Fengguang Chen, Zizhong Purdue Univ Indianapolis IN 46202 USA Indiana Univ Purdue Univ Indianapolis IN 46202 USA Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781450357852

This paper targets an important class of applications that requires combining HPC simulations with data analysis for online or realtime scientific discovery. We use the state-of-the-art parallel-IO and data-staging libraries to build simulation-time data analysis workflows, and conduct performance analysis with real-world applications of computational fluid dynamics (CFD) simulations and molecular dynamics (MD) simulations. Driven by in-depth performance inefficiency analysis, we design an end-to-end application-level approach to eliminating the interlocks and synchronizations existent in the present methods. Our new approach employs both task parallelism and pipeline parallelism to reduce synchronizations effectively. In addition, we design a fully asynchronous, fine-grain, and pipelining runtime system, which is named Zipper. Zipper is a multi-threaded distributed runtime system and executes in a layer below the simulation and analysis applications. To further reduce the simulation application's stall time and enhance the data transfer performance, we design a concurrent data transfer optimization that uses both HPC network and parallel file system for improved bandwidth. The scalability of the Zipper system has been verified by a performance model and various empirical large scale experiments. The experimental results on an Intel multicore cluster as well as a Knight Landing HPC system demonstrate that the Zipper based approach can outperform the fastest state-of-the-art I/O transport library by up to 220% using 13,056 processor cores.

关键词： High performance computing performance analysis and optimization in-situ/in-transit workflows

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performance analysis and optimization of Cyro-EM Structure Determination in RELION-2 12th

Performance Analysis and Optimization of Cyro-EM Structure D...

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12th Conference on Advanced Computer Architecture (ACA)

作者： You, Xin Yang, Hailong Luan, Zhongzhi Qian, Depei Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China

ISBN: (纸本)9789811324239;9789811324222

REgularised LIkelihood OptimisatioN (RELION) is one of the most popular softwares used in single particle cryo-EM structure determination. Although efforts have been made to optimize the workflow of RELION, the refinement step still remains as a bottleneck for our exploration of performance improvement. In this paper, we thoroughly analyze the cause of the performance bottleneck and propose corresponding optimization for performance speedup. The experiment results show that our approach achieves a speedup of 3.17x without degrading the resolution.

关键词： Cyro-EM performance analysis and optimization Relion

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performance analysis and Rapid optimization of Vehicle ORC Systems Based on Numerical Simulation and Machine Learning

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ENERGIES 2024年第18期17卷 4542-4542页

作者： Wang, Xin Chen, Xia Xing, Chengda Ping, Xu Zhang, Hongguang Yang, Fubin Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Univ Technol Fac Environm & Life Key Lab Enhanced Heat Transfer & Energy Conservat Beijing Key Lab Heat Transfer & Energy Convers Beijing 100124 Peoples R China

The organic Rankine cycle (ORC) system is an important technology for recovering energy from the waste heat of internal combustion engines, which is of significant importance for the improvement of fuel utilization. This study analyses the performance of vehicle ORC systems and proposes a rapid optimization method for enhancing vehicle ORC performance. This study constructed a numerical simulation model of an internal combustion engine-ORC waste heat recovery system based on GT-Suite software v2016. The impact of key operating parameters on the performance of two organic Rankine cycles: the simple organic Rankine cycle (SORC) and the recuperative organic Rankine cycle (RORC) was investigated. In order to facilitate real-time prediction and optimization of system performance, a data-driven rapid prediction model of the performance of the waste heat recovery system was constructed based on an artificial neural network. Meanwhile, the NSGA-II multi-objective algorithm was used to investigate the competitive relationship between different performance objective functions. Furthermore, the optimal operating parameters of the system were determined by utilizing the TOPSIS method. The results demonstrate that the highest thermal efficiencies of the SORC and RORC are 6.21% and 8.61%, respectively, the highest power outputs per unit heat transfer area (POPAs) are 6.98 kW/m2 and 8.99 kW/m2, respectively, the lowest unit electricity production costs (EPC) are 7.22 x 10-2 USD/kWh and 3.15 x 10-2 USD/kWh, respectively, and the lowest CO2 emissions are 2.85 ton CO2,eq and 3.11 ton CO2,eq, respectively. The optimization results show that the RORC exhibits superior thermodynamic and economic performance in comparison to the SORC, yet inferior environmental performance.

关键词： vehicle engine organic Rankine cycle genetic algorithm neural network performance analysis and optimization

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Design and performance analysis of novel morphing wing driven by modular deployable mechanism for underwater gliders

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OCEAN ENGINEERING 2025年 321卷

作者： Wu, Hongyu Liu, Xueao Hao, Yuxing Liao, Maolin Niu, Wendong Zhang, Yuling Yan, Shaoze Univ Sci & Technol Beijing Downhole Intelligent Cybernet Inst Sch Mech Engn Beijing 100083 Peoples R China North China Univ Technol Sch Mech & Mat Engn Beijing 100144 Peoples R China Tsinghua Univ Dept Mech Engn State Key Lab Tribol Adv Equipment Beijing 100084 Peoples R China Tianjin Univ Sch Mech Engn Tianjin 300072 Peoples R China Beijing Forestry Univ Sch Technol Beijing 100083 Peoples R China

The morphing structure's design, which can balance multiple performance indicators, has received widespread attention in the technology field of underwater gliders recently. This paper attempts to carry out the design and performance analysis of the arched morphing wings for the glider driven by modular deployable mechanisms. The morphing parameters include the wing's arc length and bending angle. First, the novel design scheme of the driving mechanism for the morphing wings, consisting of deployable mechanism modules, synchronously driving linkage, and flexible framework, is proposed and specifically introduced. Then, the kinematic analysis and static structural stiffness analysis are conducted for the driving mechanism to verify the rationality, and the principle prototype is also manufactured. Based on dynamic modeling and CFD simulation, the quantitative analysis of energy efficiency, voyage velocity, and static stability is achieved for the glider with the novel morphing wings. Finally, the optimal values of morphing parameters are determined by surrogate model technology and multi- objective optimization algorithm. This work may further enrich the design theory and method of morphing underwater gliders.

关键词： Underwater glider Morphing wing Modular deployable mechanism Dynamic modeling performance analysis and optimization

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A comparative experimental investigation of rectangular, trapezoidal, and concave basins design to augment the performance of double-slope solar distillers

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DESALINATION AND WATER TREATMENT 2025年 321卷

作者： Boudhiaf, Ridha Kessentini, Sameh Abdelgaied, Mohamed Attia, Mohammed El Hadi Harby, K. Driss, Zied Univ Sfax USf Natl Sch Engineers Sfax ENIS Lab Electromech Syst LASEM BP 1173Rd Soukra Km 3-5 Sfax 3038 Tunisia Higher Inst Technol Studies Sfax ISETSf Rd Mehdia km 2-5 Sfax 3009 Tunisia Tanta Univ Fac Engn Mech Power Engn Dept Tanta Egypt Univ El Oued Fac Sci Dept Phys El Oued 39000 Algeria Minia Univ Fac Engn Mech Power Engn & Energy Dept Al Minya 61519 Egypt Taibah Univ Coll Engn Dept Mech Engn Al Madinah Al Munawarah Saudi Arabia

Solar distillers are characterized by simple, economical, and effective ways to produce freshwater in remote and isolated regions that suffer from freshwater poverty, but suffer from low freshwater yields. So, the present comprehensive experimental study aims to get the optimal trough design that achieves the highest freshwater yield of solar distillers. To achieve this idea, the troughs were designed in the shapes of trapezoidal and concave instead of rectangular troughs to achieve the highest performance of a double-slope solar distiller. To reach this goal experimentally, three double-slope solar distillers (DSSD) were designed, built, and tested;the first is DSSD with rectangular trough (DSSD-RT), the second is DSSD with trapezoidal trough (DSSD-TT), and third is DSSD with concave trough (DSSD-CT). Experimental results show that the proposed concave trough (DSSD-CT) represents a good design that raises the accumulative diurnal distillate output to 5.8 L/m2 day with an improvement of 64.8 % compared to DSSD-RT. Also, the improvement rates in thermal efficiency, exergy efficiency, and sustainability index for utilizing the proposed concave trough (DSSD-CT) reached 63.9 %, 92.7 %, and 2.7 %, respectively compared to DSSD-RT.

关键词： Double slope solar distiller Rectangular trough Trapezoidal trough Concave trough performance analysis and optimization

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analysis and optimization of Task Granularity on the java Virtual Machine

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ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS 2019年第3期41卷 19-19页

作者： Rosa, Andrea Rosales, Eduardo Binder, Walter Univ Svizzera Italiana Via Giuseppe Buffi 13 CH-6900 Lugano Switzerland

Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallelization overheads. On the other hand, coarse-grained tasks (i.e., large tasks performing substantial computations) may not fully utilize the available CPU cores, leading to missed parallelization opportunities. In this article, we provide a better understanding of task granularity for task-parallel applications running on a single Java Virtual Machine in a shared-memory multicore. We present a new methodology to accurately and efficiently collect the granularity of each executed task, implemented in a novel profiler (available open-source) that collects carefully selected metrics from the whole system stack with low overhead, and helps developers locate performance and scalability problems. We analyze task granularity in the DaCapo, ScalaBench, and Spark Perf benchmark suites, revealing inefficiencies related to fine-grained and coarse-grained tasks in several applications. We demonstrate that the collected task-granularity profiles are actionable by optimizing task granularity in several applications, achieving speedups up to a factor of 5.90x. Our results highlight the importance of analyzing and optimizing task granularity on the Java Virtual Machine.

关键词： Task granularity task parallelism performance analysis and optimization vertical profiling actionable profiles Java virtual machine

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Thermodynamic analysis of TEG-TEC Device Including Influence of Thomson Effect

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JOURNAL OF NON-EQUILIBRIUM THERMODYNAMICS 2018年第1期43卷 75-86页

作者： Feng, Yuanli Chen, Lingen Meng, Fankai Sun, Fengrui Naval Univ Engn Inst Thermal Sci & Power Engn Wuhan 430033 Hubei Peoples R China Naval Univ Engn Mil Key Lab Naval Ship Power Engn Wuhan 430033 Hubei Peoples R China Naval Univ Engn Coll Power Engn Wuhan 430033 Hubei Peoples R China

A thermodynamic model of a thermoelectric cooler driven by thermoelectric generator (TEG-TEC) device is established considering Thomson effect. The performance is analyzed and optimized using numerical calculation based on non-equilibrium thermodynamic theory. The influence characteristics of Thomson effect on the optimal performance and variable selection are investigated by comparing the condition with and without Thomson effect. The results show that Thomson effect degrades the performance of TEG-TEC device, it decreases the cooling capacity by 27 %, decreases the coefficient of performance (COP) by 19 %, decreases the maximum cooling temperature difference by 11% when the ratio of thermoelectric elements number is 0.6, the cold junction temperature of thermoelectric cooler (TEC) is 285 K and the hot junction temperature of thermoelectric generator (TEG) is 450 K. Thomson effect degrades the optimal performance of TEG-TEC device, it decreases the maximum cooling capacity by 28% and decreases the maximum COP by 28% under the same junction temperatures. Thomson effect narrows the optimal variable range and optimal working range. In the design of the devices, limited-number thermoelectric elements should be more allocated appropriately to TEG when consider Thomson effect. The results may provide some guidelines for the design of TEG-TEC devices.

关键词： Thomson effect thermoelectric generator thermoelectric cooler combined thermoelectric device performance analysis and optimization non-equilibrium thermodynamics

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Chip optimization through STI-stress-aware placement perturbations and fill insertion

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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2008年第7期27卷 1241-1252页

作者： Kahng, Andrew B. Sharma, Puneet Topaloglu, Rasit Onur Univ Calif San Diego Dept Comp Sci & Engn La Jolla CA 92093 USA Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Adv Micro Devices Inc Sunnyvale CA 94088 USA

Starting at the 65-nm node, stress engineering to improve the performance of transistors has been a major industry focus. An intrinsic stress source-shallow trench isolation (STI)-has not been fully utilized up to now for circuit performance improvement. In this paper, we present a new methodology that combines detailed placement and active-layer fill insertion to exploit STI stress for performance improvement. We conduct process simulation of a 65-nm production STI technology to generate mobility and delay impact models for STI stress. We then utilize these models to perform STI-stress-aware delay analysis of critical paths using Simulation Program with Integrated Circuit Emphasis (SPICE). We present our timing-driven optimization of STI stress in standard cell designs, using detailed placement perturbation and active-layer fill insertion to improve complementary metal-oxide-semiconductor performance. We assess the proposed analysis and optimization on small designs implemented with a 65-nm production cell library and a standard synthesis place-and-route flow. Our stress-aware timing analysis improves the clock frequency by 4.68% to 6.31% over traditional worst case analysis, and our optimization improves clock frequency by 2.44% to 5.26%. The frequency improvement through exploitation of STI stress comes at practically zero cost in terms of design area and wire length.

关键词： design for manufacturing (DFM) performance analysis and optimization shallow trench isolation (STI) stress modeling and optimization

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