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Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 280-284 doi: 10.1007/s11708-012-0203-0

Abstract: expansion processes, and the heat leak losses through the cylinder wall, an irreversible cycle model of the MillerThe performance characteristic curves of the Miller heat engine were generated through numerical calculation

Keywords： Miller cycle     variable heat capacity     irreversibility     parametric optimization    

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Improvement of engine performance with high compression ratio based on knock suppression using Miller

Haiqiao WEI, Jie YU, Lei ZHOU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 691-706 doi: 10.1007/s11708-019-0621-3

Abstract: comprehensively investigate the application of high compression ratio on a gasoline engine based on the MillerIt was found that a high level of Miller cycle with a higher boost pressure could be used in CR12 toperformance and a reduced fuel consumption of CR12 at full load could be achieved by using the strong Miller

Keywords： high compression ratio     knock     Miller cycle     split injection     engine performance    

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Optimization of the power, efficiency and ecological function for an air-standard irreversible Dual-Miller

Zhixiang WU, Lingen CHEN, Yanlin GE, Fengrui SUN

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 579-589 doi: 10.1007/s11708-018-0557-z

Abstract: This paper establishes an irreversible Dual-Miller cycle (DMC) model with the heat transfer (HT) lossTo analyze the effects of the cut-off ratio ( ) and Miller cycle ratio ( ) on the power output ( ), thermalPerformance differences among the DMC, the Otto cycle (OC), the Dual cycle (DDC), and the Otto-Miller

Keywords： finite-time thermodynamics     Dual-Miller cycle     power output     thermal efficiency     ecological function    

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High production of butyric acid by

Chao Ma,Jianfa Ou,Matthew Miller,Sarah McFann,Xiaoguang (Margaret) Liu

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 3,   Pages 369-375 doi: 10.1007/s11705-015-1525-3

Abstract: The objective of this study was to improve the production of butyric acid by process optimization using the metabolically engineered mutant of (PAK-Em). First, the free-cell fermentation at pH 6.0 produced butyric acid with concentration of 38.44 g/L and yield of 0.42 g/g. Second, the immobilized-cell fermentations using fibrous-bed bioreactor (FBB) were run at pHs of 5.0, 5.5, 6.0, 6.5 and 7.0 to optimize fermentation process and improve the butyric acid production. It was found that the highest titer of butyric acid, 63.02 g/L, was achieved at pH 6.5. Finally, the metabolic flux balance analysis was performed to investigate the carbon rebalance in . The results show both gene manipulation and fermentation pH change redistribute carbon between biomass, acetic acid and butyric acid. This study demonstrated that high butyric acid production could be obtained by integrating metabolic engineering and fermentation process optimization.

Keywords： Clostridium tyrobutyricum     butyric acid production     fermentation     mutant     pH     flux balance analysis    

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Mercury source zone identification using soil vapor sampling and analysis

David WATSON,Carrie MILLER,Brian LESTER,Kenneth LOWE,George SOUTHWORTH,Mary Anna BOGLE,Liyuan LIANG,Eric

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 596-604 doi: 10.1007/s11783-014-0709-2

Abstract: Development and demonstration of reliable measurement techniques that can detect and help quantify the nature and extent of elemental mercury (Hg(0)) in the subsurface are needed to reduce uncertainties in the decision-making process and increase the effectiveness of remedial actions. We conducted field tests at the Y-12 National Security Complex in Oak Ridge, Tennessee, USA, to determine if sampling and analysis of Hg(0) vapors in the shallow subsurface (<0.3 m depth) can be used to as an indicator of the location and extent of Hg(0) releases in the subsurface. We constructed a rigid polyvinyl chloride push probe assembly, which was driven into the ground. Soil gas samples were collected through a sealed inner tube of the assembly and were analyzed immediately in the field with a Lumex and/or Jerome Hg(0) analyzer. Time-series sampling showed that Hg vapor concentrations were fairly stable over time, suggesting that the vapor phase Hg(0) was not being depleted and that sampling results were not sensitive to the soil gas purge volume. Hg(0) vapor data collected at over 200 push probe locations at 3 different release sites correlated very well to areas of known Hg(0) contamination. Vertical profiling of Hg(0) vapor concentrations conducted at two locations provided information on the vertical distribution of Hg(0) contamination in the subsurface. We conclude from our studies that soil gas sampling and analysis can be conducted rapidly and inexpensively at large scales to help identify areas contaminated with Hg(0).

Keywords： push probe     spill     characterization     mapping     gas    

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Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 408-415 doi: 10.1007/s11465-008-0061-y

Abstract: The model of thermal error of the axis in a feed system of DM4600 vertical miller is established with

Keywords： square system     network     vertical miller     transfer     ANN    

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Nano-design of ultra-efficient reversible block based on quantum-dot cellular automata Research Article

Seyed Sajad AHMADPOUR, Nima Jafari NAVIMIPOUR, Mohammad MOSLEH, Senay YALCIN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 447-456 doi: 10.1631/FITEE.2200095

Abstract: has recently gained significant interest due to its inherent ability to reduce , which is the primary need for low-power digital circuits. One of the newest areas of relevant study is , which has applications in many areas, including , DNA computing, quantum computing, fault tolerance, and low-power complementary metal-oxide-semiconductor (CMOS). An electrical circuit is classified as reversible if it has an equal number of inputs and outputs, and a one-to-one relationship. A reversible circuit is conservative if the EXOR of the inputs and the EXOR of the outputs are equivalent. In addition, is one of the state-of-the-art approaches that can be used as an alternative to traditional technologies. Hence, we propose an efficient conservative gate with low power demand and high speed in this paper. First, we present a called ANG (Ahmadpour Navimipour Gate). Then, two non-resistant QCA ANG and reversible fault-tolerant ANG structures are implemented in QCA technology. The suggested is realized through the . Subsequently, reversible fault-tolerant ANG is implemented by the 2DW clocking scheme. Furthermore, the power consumption of the suggested ANG is assessed under different energy ranges (0.5Ek, 1.0Ek, and 1.5Ek). Simulations of the structures and analysis of their power consumption are performed using QCADesigner 2.0.03 and QCAPro software. The proposed gate shows great improvements compared to recent designs.

Keywords： Nanotechnology     Reversible logic     Energy dissipation     Quantum-dot cellular automata (QCA)     Reversible gate     Milleralgorithm    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithm

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 94-98

Abstract: The particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedEspecially the hybrid particle swarm optimization algorithm derived from across strategy A and mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problemIt can easily be modified for any combinatorial problem for which there has been no good specialized algorithm

Keywords： particle swarm algorithm     knapsack problem     genetic algorithm     mutation    

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Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithmDifferent weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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Predictor-corrector algorithm for solving quasi-separated-flow and transient distributed-parameter model

Ping ZHANG, Guoliang DING

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 535-541 doi: 10.1007/s11708-010-0113-y

Abstract: Therefore, a predictor-corrector algorithm (PCA) is proposed to improve the convergence of the SS method

Keywords： algorithm     convergence     heat exchanger     modeling     transient    

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Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 468-471 doi: 10.1007/s11465-006-0061-8

Abstract: element) method rapidly and efficiently, a method combined with the FE method and gradient optimum algorithm

Keywords： satisfactory     interpretation     algorithm     structural reliability     stochastic FE    

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Title Author Date Type Operation

Effect of variable heat capacities on performance of an irreversible Miller heat engine

Xingmei YE

Journal Article

Improvement of engine performance with high compression ratio based on knock suppression using Miller

Haiqiao WEI, Jie YU, Lei ZHOU

Journal Article

Optimization of the power, efficiency and ecological function for an air-standard irreversible Dual-Miller

Zhixiang WU, Lingen CHEN, Yanlin GE, Fengrui SUN

Journal Article

High production of butyric acid by

Chao Ma,Jianfa Ou,Matthew Miller,Sarah McFann,Xiaoguang (Margaret) Liu

Journal Article

Mercury source zone identification using soil vapor sampling and analysis

David WATSON,Carrie MILLER,Brian LESTER,Kenneth LOWE,George SOUTHWORTH,Mary Anna BOGLE,Liyuan LIANG,Eric

Journal Article

Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Journal Article

Nano-design of ultra-efficient reversible block based on quantum-dot cellular automata

Seyed Sajad AHMADPOUR, Nima Jafari NAVIMIPOUR, Mohammad MOSLEH, Senay YALCIN

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Journal Article

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Journal Article

Predictor-corrector algorithm for solving quasi-separated-flow and transient distributed-parameter model

Ping ZHANG, Guoliang DING

Journal Article

Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Journal Article