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AIAA Aviation Forum and Exposition

作者： Jain, Samarth Mane, Muharrem Crossley, William A. DeLaurentiO, Daniel A. Purdue Univ Sch Aeronaut & Astronaut W Lafayette IN 47906 USA

ISBN: (数字)9781624106101

ISBN: (纸本)9781624106101

Several companies are hoping to bring back commercial supersonic aircraft operations;some have plans to introduce new supersonic aircraft in the mid-2020s. A few studies that predict the operational and environmental impacts of introducing supersonic aircraft in airline fleets exist, but-to the authors' best knowledge-none predict the effects of how operating commercial supersonic aircraft as part of an airline's fleet might alter how the airline performs subsonic operations across the network in an effort to maintain profitability. The authors believe that the airlines might consider operating high-passenger-density versions of subsonic aircraft on routes that also see supersonic operations to compensate for the shifting of some of the premium subsonic passengers to the supersonic service, and to maintain their profitability on those routes at the least. The airlinesmay also implement changes to ticket prices for subsonic flights to continue to earn similar (or even higher) profits. This paper explores the impact this approach would have on overall operations by modeling the behavior of a profit-seeking airline (with a mixture of supersonic, subsonic, and high-passenger-density subsonic aircraft in its fleet) using the Fleet-Level Environmental Evaluation Tool (FLEET). Using a set of rules to identify potential supersonic routes and supersonic passenger demand, the FLEET simulation predicts supersonic aircraft operations on profitable routes and, then, how the airline satisfies the rest of its passenger demand with the high-density versions of subsonic aircraft on routes with supersonic operations, and current standard-density subsonic aircraft on routes with no supersonic operations, for a representative day for each year over a sequence of many years. The high-density version of subsonic aircraft considers the idea of removing some of the premium class seats in the aircraft and replacing them with a larger number of economy class seats, so that the total aircraft

关键词： Supersonic Transport Aircraft Operating Empty Weight Aircraft Performance Aircraft Technology Willingness to Pay Aviation optimization algorithm Propulsive Efficiency Commercial Aviation High Ticket Prices

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Automated Design of Standard Terminal Arrival Routes

Automated Design of Standard Terminal Arrival Routes

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AIAA Aviation Forum and Exposition

作者： Taylor, Christine Coats, Paden Pusateri, Adam Barnes, W. Justin Smith, Leland Mitre Corp Mclean VA 22102 USA

ISBN: (数字)9781624106101

ISBN: (纸本)9781624106101

Procedure design is a workload intensive process, relying on the experience of design specialists to collect and mentally integrate a diverse set of information to create a desirable route. While designers can leverage automation to evaluate the feasibility of a proposed design, there is little support to guide design changes if criteria failures are returned. This paper proposes an algorithmic approach for generating automated recommendations of Standard Terminal Arrival route revisions that resolve certain common criteria failures. Specifically, the algorithm generates an integrated design space - captured as a three-dimensional grid - to provide a comprehensive view of the constraints and considerations impacting a potential design. Leveraging procedural criteria, the grid is then transformed into a network, permitting fast-time computation of candidate alternatives which are subsequently evaluated for both adherence to design criteria and the trade-space of performance objectives. The approach is demonstrated on two existing procedures that contain different types of failures, and in both case studies the algorithm generates multiple failure-free options that span the trade-space of performance metrics considered. The demonstrated success of the approach highlights the viability and utility of providing automation to support the procedure design process.

关键词： Coded Instrument Flight Procedures Airspace Region Performance Based Navigation Federal Aviation Administration Minimum Obstacle Clearance Altitude En Route Automation Modernization Aeroplane Shuttle Radar Topography Mission optimization algorithm Level Flight

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optimization of the MMF spatial harmonic content to design electrical machine winding

Optimization of the MMF spatial harmonic content to design e...

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19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF)

作者： Marault, Jerome Gillon, Frederic Hecquet, Michel Tounzi, Abdelmounaim Univ Lille Arts & Metiers Inst Technol Yncrea Haut France Cent LilleULR 2697L2EP F-59000 Lille France

The winding design of an electrical machine is an important task in the whole design process. This leads, for a part, to the magneto motive force which is one of the main quantities to manage for electrical machine performances. Indeed, the latter is directly linked to that of the air gap magnetic flux density and thus to the torque ripples, vibration and then noise. This paper proposes to reduce the MMF harmonic content by means of optimization process using mono-objective or multi-objective algorithms with discrete and continuous variables. For this aim, optimization algorithm is coupled with an analytical tool which enables calculating quickly the MMF harmonic content from winding parameters. A winding optimization of three different windings with the same number of pole pairs is proposed to show the suitability of this process.

关键词： MMF harmonic content mono-objective multi-objective optimization algorithm new winding pattern winding design

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Effects of dispatch strategies on optimum sizing of solar-diesel-battery energy storage-RO desalination hybrid scheme by efficient heuristic algorithm

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JOURNAL OF ENERGY STORAGE 2022年 54卷

作者： Liu, Hao Wu, Baojia Maleki, Akbar Yanbian Univ Coll Sci Dept Phys Jilin 133000 Peoples R China Shahrood Univ Technol Fac Mech Engn Shahrood Iran

Dispatch strategies on optimum sizing of hybrid renewable energy systems are crucial for attaining a costeffective and reliable power supply. In this paper, the effects of dispatch strategies on optimum sizing of photovoltaic/energy storage/diesel/ reverse osmosis desalination hybrid scheme for supplying the electrical loads and freshwater demand of a remote region are presented. The size of the components of the hybrid scheme are optimized to minimize the total net annual cost and minimizing the system's Levelized cost of energy and to minimize the cost of the desalinated water produced, and the reliability index. For this aim, two optimal dispatch strategies, load following, and cycle charging, are designed for integrated energy systems. So an efficient heuristic algorithm, tabu search, is used for optimum sizing of the hybrid energy scheme. The results are compared with the results obtained by well-known optimization method, harmony search. In each of the strategies, the effects of reliability index and economic factors, including diesel generator initial cost, fuel cost, the O&M cost of diesel generator, initial battery cost, photovoltaic initial cost, and the interest rate, on the optimization of the hybrid energy scheme have been investigated. It showed that the tabu search algorithm has potential benefit to reduce total cost by nearly 1.8% and average simulation time by nearly 1.65% as compared to the harmony search algorithm. Also, in a specific reliability index, the cycle charging strategy has potential benefit to reduce greenhouse gas emissions by nearly 11.5% per year and the cost criteria by nearly 7.5% as compared to the load following strategy.

关键词： Dispatch strategy Hybrid system Battery energy storage RO desalination optimization algorithm Reliability index Economic factors

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A Full D-Band Low Noise Amplifier in 130 nm SiGe BiCMOS using Zero-Ohm Transmission Lines 15

A Full D-Band Low Noise Amplifier in 130 nm SiGe BiCMOS usin...

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15th European Microwave Integrated Circuits Conference (EuMIC) / 50th European Microwave Conference (EuMC)

作者： Maiwald, Tim Potschka, Julian Kolb, Katharina Dietz, Marco Aufinger, Klaus Visweswaran, Akshay Weigel, Robert Friedrich Alexander Univ Erlangen Nuremberg Inst Elect Engn Cauerstr 9 D-91058 Erlangen Germany Infineon Technol D-85579 Neubiberg Germany IMEC Kapeldreef 75 B-3001 Leuven Belgium

ISBN: (纸本)9782874870606

This paper presents the design, analysis and optimization of a three-stage cascode full D-Band Low Noise Amplifier (LNA) in an industrial established 130nm SiGe BiCMOS technology with a f(t)/f(max) of 250/370 GHz from Infineon Technologies. Transmission lines with a low characteristic impedance, also known as Zero-Ohm transmission lines, are used to control the impedance at the base of the common base stage of the cascode. The proposed amplifier features a 3dB bandwidth from 110-165 GHz with 23 dB peak gain at a measured noise figure between 6 and 7.9 dB over the entire D-Band. To achieve this result, a detailed analysis of the transistor characteristics, matching networks, parasitic extraction as well as self implemented optimization and synthesis procedure for the passive structures has been realized. Measured and simulated results are in good agreement.

关键词： low noise amplifier noise figure measurements D-Band passives SiGe optimization algorithm

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A novel RUL prediction method for Lithium-ion Batteries via hybrid modeling and BAS based particle filter 40

A novel RUL prediction method for Lithium-ion Batteries via ...

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40th Chinese Control Conference (CCC)

作者： He, Ning Qian, Cheng Li, Ruoxia Xian Univ Architecture & Technol Sch Mech & Elect Engn Xian 710055 Peoples R China Xian Univ Architecture & Technol Sch Informat & Control Engn Xian 710055 Peoples R China

ISBN: (纸本)9789881563804

As an important energy source, lithium-ion batteries have vast applications in daily production and life. Therefore, the life prediction of such batteries is of great significance, which can help us maintain the efficacy and reliability of the system powered by lithium-ion batteries. In this paper, a hybrid battery model and an improved particle filter (PF) are developed to better estimate the remaining useful life (RUL) of lithium-ion battery. Firstly, a hybrid model is constructed as the degradation model of the battery. The developed hybrid model is a combination of the empirical battery model and neural network model such that it could characterize both the internal mechanism of the battery and the change of external environment in a more accurate way. Then, the beetle antennae search (BAS) based PF (BAS-PF) is utilized to compute the battery parameters online based on the proposed hybrid model. Compared with the existing PF based method, BAS-PF can well handle the problem of diversity loss and improve the estimation accuracy. Finally, the battery data set published by NASA is used as the experiment object. Experiments show that the proposed hybrid model can well represent the internal and external changes of the battery, and the BAS-PF based method has a great improvement in the estimation accuracy. Those results illustrate that the developed technique could achieve an improved life prediction for lithium-ion batteries.

关键词： Remaining useful life optimization algorithm Lithium-ion battery Particle filter Hybrid model

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optimization of the eco-friendly solvent-free microwave extraction of Limnophila aromatica essential oil

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INDUSTRIAL CROPS AND PRODUCTS 2021年 165卷 113443-113443页

作者： Yingngam, Bancha Brantner, Adelheid Treichler, Monika Brugger, Nadine Navabhatra, Abhiruj Nakonrat, Prasit Ubon Ratchathani Univ Fac Pharmaceut Sci Dept Pharmaceut Chem & Technol Ubon Ratchathani 34190 Thailand Karl Franzens Univ Graz Inst Pharmaceut Sci Dept Pharmacognosy Univ Pl 4-1 A-8010 Graz Austria Rangsit Univ Dept Pharmacol Coll Pharm Pathum Thani 12000 Thailand Ubon Ratchathani Univ Dept Elect & Elect Engn Fac Engn Ubon Ratchathani 34190 Thailand

Seasonal variation can alter the profile, quantity, and bioactivity of secondary metabolites in aromatic plants. This study aimed to establish solvent-free microwave extraction (SFME) conditions for the recovery of essential oil from Limnophila aromatica (Lam.) Merr. aerial parts and investigate the influence of seasonality on this oil. The effects of key SFME variables, including the microwave power and irradiation time, on the essential oil yield were evaluated, and these variables were optimized using response surface methodology. The chemical composition and antioxidant and antiproliferative capabilities of the essential oils obtained under the selected SFME conditions during different seasons of the year were then analyzed. The optimal SFME process conditions for achieving the maximal essential oil yield were 700 W for 25 min. The most important variable influencing oil recovery was the irradiation time (p < 0.001), followed by the microwave power (p < 0.01). The applied extraction method offered essential oil yields during the different seasons ranging from 0.20 % to 0.24 % (v/w). The obtained essential oils showed the presence of forty-seven constituents, mainly limonene, perillaldehyde, (E)-4-caranone, (Z)-4-caranone, and alpha-pinene. Monoterpene hydrocarbons were the dominant class of compounds in the oils. Seasonality affected both the antioxidant and antiproliferative properties to different degrees. These findings are not only useful for identifying eco-friendly essential oil extraction conditions but also serve as a useful guide for informing agronomic practices during the planting and cultivation of the studied medicinal plant.

关键词： Aromatic plants Essential oil Extraction conditions optimization algorithm Response surface methodology Seasonal variation

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Heteroscedastic Gaussian Process Regression using Nearest Neighbor Point Estimates

Heteroscedastic Gaussian Process Regression using Nearest Ne...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Robani, Muhammad Daffa Palar, Pramudita Satria Zuhal, Lavi Rizki Inst Teknol Bandung Fac Mech & Aerosp Engn Bandung 40132 West Java Indonesia

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

When noise corrupts a black-box function, the use of deterministic surrogate models is inadequate since it becomes difficult to distinguish the true function and the noise. Gaussian process is one type of surrogate model that is widely used in practice to handle noisy problems. In several stochastic simulators or physical experiments, the variance of the noise could vary in the input spaces (i.e., heteroscedasticity). This study focuses on the heteroscedastic Gaussian process (HGP) model that utilizes point estimates in learning the noise function without any additional replication. This paper proposes a modified HGP called Nearest Neighbor Point Estimates HGP (NNPEHGP) that uses two GP models similar to the typical HGP configuration. In our proposed model, k-nearest neighbor (kNN) regression is augmented to the procedure to learn the noise functions to overcome the overfitting problem that frequently appears when the number of training samples is small. We test the efficacy of the proposed method on four problems, consisting of two mathematical functions, one real-world dataset, and a heat transfer problem to demonstrate the superiority of the proposed NNPEHGP model in terms of accuracy and stability.

关键词： Probability Distribution Convective Heat Transfer Coefficient Numerical Stability Black Box Light Detection and Ranging Maximum Likelihood Estimation optimization algorithm Dirac Delta Function Thermal Conductivity Gamma Function

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In-house digital image correlation technique for large structures

In-house digital image correlation technique for large struc...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Kumar, David Chiang, Chih-Hung Chaoyang Univ Technol Dept Aeronaut Engn Taichung 413310 Taiwan Chaoyang Univ Technol Ctr NDT Taichung 413310 Taiwan

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

Monitoring and inspection of large structures such as wind turbines are challenging due to their size scale and the generic capabilities of available methods. The present study is based on performing 3D vibrations studies of large structures for health monitoring and designing purposes. An in-house digital image correlation (DIC) technique is developed to measure 3D displacements. The technique uses two externally-triggerable cameras to record the images simultaneously. The image-correlation method is incorporated with nonlinear optimization and distortion correction algorithms to ensure accuracy and acquire small in-plane and out-of-plane displacements. In a field experiment, the developed in-house DIC technique is used to perform static and dynamic testing of a light pole of 3m height. A large-sized checker-pattern-based calibration board is used for calibrating the designed stereovision system. The in-house DIC method can measure static and dynamic 3D displacements and accurately obtain the natural frequencies of the light pole. The fundamental natural frequency of the pole is 4.95 Hz, which is validated using a three-axis accelerometer.

关键词： Accelerometer Wind Turbine Non Destructive Testing optimization algorithm Flapping Wing Displacement Sensor Structural Dynamic Analysis Spline Interpolation Composite Materials Flexible Structures

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System-of-Systems Operational Analysis and optimization A Case-Study of Quadcopters fleet in Real-Time Delivery Mission

System-of-Systems Operational Analysis and Optimization A Ca...

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AIAA Aviation Forum

作者： Ross, Chana Rokitat, Tomer Rafael Adv Def Syst Ltd IL-3102102 Haifa Israel

ISBN: (数字)9781624105982

ISBN: (纸本)9781624105982

This paper describes an operational analysis and optimization of a quad-copters fleet, designed for real-time package delivery. The fleet and its mission serve as a benchmark problem, nicknamed Rafazon, of a complex system-of-systems (SoS). First, a computational model was established using agent-based discrete-event-simulation (AB-DES). Next, the simulation was integrated into a multi-objective-optimization framework, in order to efficiently find the optimal fleet composition, which maximizes system efficiency, while minimizing overall cost. Finally, the optimization results are presented as a set of pareto optimal system designs, which reveals the SoS design trade-offs.

关键词： Discrete Event Simulation optimization algorithm Markov Decision Process Evolutionary algorithm Matching algorithm Unmanned Aerial Systems Systems Engineering Genetic algorithm Total Energy

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