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检索条件"丛书名=Lecture Notes in Mechanical Engineering"

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Study of Various Aerodynamic Theories for Flutter Prediction for an Airfoil in Incompressible Flow 15th

Study of Various Aerodynamic Theories for Flutter Prediction...

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15th International Conference on Vibration Problems (ICoVP)

作者： Prakash, M. Sakthi Hoskoti, Lokanna Joshi, Ganapati Sucheendran, Mahesh M. Def Inst Adv Technol Aerosp Engn Pune 401125 Maharashtra India Indian Inst Technol Mech & Aerosp Engn Hyderabad 502284 Telangana India

ISBN: (纸本)9789819959211;9789819959228

The present work involves the prediction of flutter using different aerodynamic models. The results of four aerodynamic models, viz., steady, quasi-steady, simplified quasi-unsteady, and simplified unsteady, are compared using linear aeroelastic models for a wide range of non-dimensional flutter parameters. The result of the flutter analysis performed using p and p-k methods is verified with experimental results available in the literature. Aerodynamic models considered in the study pose different aerodynamic dampings, which affects the accuracy of p-k method in predicting flutter boundary. The present work aims to bring a quantitative comparison between the results of the p-k method as well as the p method in combination with different aerodynamic theories for a broad range of parameters.

关键词： Aeroelasticity Flutter Aerodynamic models

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Model-Free Automated Reversing of Articulated Heavy Goods Vehicles 16th

Model-Free Automated Reversing of Articulated Heavy Goods Ve...

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16th International Symposium on Advanced Vehicle Control

作者： Rahman, Shammi Gordon, Timothy Henderson, Leon Gao, Yangyan Coleman, Sonya Kerr, Dermot Ulster Univ Magee CampusNorthland Rd Londonderry BT48 7J North Ireland Univ Lincoln Brayford Way Lincoln LN6 7TS England Chalmers Univ Technol S-41296 Gothenburg Sweden Volvo Grp North Amer LLC Greensboro NC 27409 USA

ISBN: (纸本)9783031703942;9783031703928;9783031703911

This paper presents a technique for automated reversing control of articulated vehicles. Reversing articulated Heavy Goods Vehicles (HGVs) can be a challenging and time consuming task for a human driver, sometimes requiring multiple forward and backward motions to reduce errors. Here, the aim is to automate the task to provide high levels of precision using Artificial Flow Guidance (AFG). AFG uses simple geometry to define a spatially distributed motion reference, requiring only short-range error corrections and possessing global convergence properties. AFG has previously been applied to rigid and articulated vehicles in forward motion, with demonstrable benefits in terms of tracking precision and robustness. Here results focus on the tractor-semitrailer, but the AFG approach is equally applicable to the reversing of longer combination vehicles.

关键词： Automated Reversing Articulated Vehicles

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Requirements and Challenges for Vibration Prediction Tools and the Associated Validation Processes 14th

Requirements and Challenges for Vibration Prediction Tools a...

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14th International Workshop on Railway Noise (IWRN)

作者： Hermann, Sascha Stiebel, Dorothee Mahlert, Nils Garburg, Ruediger DB Systemtech GmbH Volckerstr 5 D-80939 Munich Germany Deutsch Bahn AG Europapl 1 D-10557 Berlin Germany

ISBN: (纸本)9789819978519;9789819978526

One of the aims of the European research project FINE-2 is to contribute to reducing noise and vibrations caused by railway traffic. In this context, FINE-2 supports the development of a prediction tool for vibration caused by rail traffic. The tool is developed by the partner project SILVARSTAR. For this purpose, in the "Ground Vibration" work package (WP 8) of FINE-2, which is led by DB Systemtechnik GmbH, requirements and descriptors for a European vibration tool were specified. The general approach for a prediction tool is based on a decoupled modular calculation model which could be useable for both rough estimations and detailed analysis of train-induced vibrations next to the track and inside buildings. Moreover, a validation concept developed by FINE-2 for evaluation of the prediction tool has been developed. The paper shows a two-step procedure to validate the computational core and the final prediction tool. The validation of the computational core will be mainly based on measured data. Here, a comparison between measured results and the computed data of the prediction tool will be performed. The tool itself is evaluated against the specified requirements and the computation of the descriptors is checked according to the standards.

关键词： Prediction of vibration Validation concept Requirements for prediction tool

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Sensitivity Analysis and Formulation of the Inverse Problem in the Stochastic Approach to Modelling of Phase Transformations in Steels 14th

Sensitivity Analysis and Formulation of the Inverse Problem ...

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14th International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM)

作者： Szeliga, Danuta Jazdzewska, Natalia Forys, Jakub Kusiak, Jan Nadolski, Rafal Oprocha, Piotr Pietrzyk, Maciej Potorski, Pawel Przybylowicz, Pawel AGH Univ Krakow Fac Met Engn & Ind Comp Sci Al Mickiewicza 30 PL-30059 Krakow Poland AGH Univ Krakow Fac Appl Math Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783031580086;9783031580062;9783031580055

The need for a reliable prediction of the distribution of microstructural parameters in metallic materials after processing was the motivation for this work. The model describing phase transformations, which considers the stochastic character of the nucleation of the new phase, was formulated. Numerical tests of the model, including sensitivity analysis, were performed and the optimal parameters such as time step, kind of the random numbers generator (RNG) and the number of the Monte Carlo points were determined. The validation of the model requires an application of proper coefficients corresponding to the considered materials. These coefficients have to be identified through the inverse analysis, which, on the other hand, uses optimization methods and requires the formulation of the appropriate objective function. Since the model involves stochastic parameters, it is a crucial task. Therefore, in the second part of the paper, a specific form of the objective function for the inverse analysis was developed. In the first approach, an objective function based on measurements of the average parameters was used and primary optimization was performed. Various optimization methods were tested. In the second approach, the hybrid objective function, which combined measured average transformation temperatures with a measure based on histograms, was used. Since, at this stage, we do not have measurements of the distribution of microstructural features, the basic histograms were generated by the model with the coefficients obtained in the first step of the optimization. The capability of finding the optimal solution for different starting points was evaluated and various approaches were compared. The elaborated original stochastic approach to modelling the phase transformations occurring during cooling after hot forming was validated on selected carbon steel.

关键词： Multiphase steels Heterogeneous microstructures Phase transformations Nucleation Stochastic model Identification

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The Importance of Patent Registration in the Way of Generating Wealth for Nations 32nd

The Importance of Patent Registration in the Way of Generati...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Santos, Gilberto Carvalho, Sandro Sa, Jose Carlos Ferreira, Luis P. Inst Politec Cavado Ave Escola Super Design Inst Invest Design Media Cultura ID Barcelos Portugal Polyt Inst Cavado Ave EST Campus IPCA Barcelos Portugal Polytech Porto ISEP Rua Dr Antonio Bernardino Almeida P-4249015 Porto Portugal Transports & Aerosp LAETA INEGI Assoc Lab Energy Rua Dr Roberto Frias 400 P-4200465 Porto Portugal

ISBN: (纸本)9783031382406;9783031382413

This paper approaches the importance of technological development, as well as patent registration and consequent innovation. The main country/blocks that interact with each other in the business of the respective product innovation through the registration of patents are analyzed. The creation of wealth in the world moves between 5 blocks, designated IP5. The champions of triadic patents, that is patents registered in 3 blocks, are analyzed. The big 5, that is champions of patents registered in five countries/blocks, that is, "pentactic" patents are also analyzed. The countries belonging to these blocks are those who contribute most for wealth creation in the world.

关键词： Design Technological Development Patents Innovation Wealth of Nations

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On Applicability of Local Inertia Model for Integrated Surface-Subsurface Flow Systems 23rd

On Applicability of Local Inertia Model for Integrated Surfa...

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Kumar, Alok Pahar, Gourabananda Indian Inst Technol Kanpur Dept Civil Engn Kanpur 208016 Uttar Pradesh India

ISBN: (纸本)9789819760084;9789819760091

Interaction between surface water and groundwater is observed in all-natural water bodies such as lakes and ponds and coastal areas. This complex interaction of fluid and the porous media can be resolved in three-dimensional models with significant accuracy, however, with humongous computational overhead. Very few unified surface and groundwater flow models exist in the literature, where a single set of equations can describe such flows. The current study considers a single set of conservation laws for flow in/outside of porous media obtained from the volume-averaging and then subsequent depth-averaging of the three-dimensional conservation laws. Further simplifications based on the assumption that inertial effects in these flows are very small leads to the development of the current local inertia model (LIM). LIM conceptualization of the flow significantly reduces the computational overhead compared to diffusive wave models, signaling potential extension to the real-time scenarios. The resulting model is solved using an augmented approximate Riemann solver [Harten, Lax, and Leer (HLL) method]. The potential applicability of the model is tested against different representative scenarios (such as vertical and inclined interfaces).

关键词： Surface water Groundwater LIM

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A Human-Robot Collaboration Workstation Design to AssessWorker Physical Workload with JACK Software 8th

A Human-Robot Collaboration Workstation Design to AssessWork...

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8th International Scientific-Technical Conference (MANUFACTURING)

作者： Ulutas, Berna Yetkin, Busra Nur Eskisehir Osmangazi Univ Dept Ind Engn Fac Engn & Architecture TR-26480 Eskisehir Turkiye

ISBN: (纸本)9783031564581;9783031564567

Collaborative robots present promising solutions to partial automation of assemblyworkstations to combine theworkers' flexibility and robots' capability to apply force and speed. To assess and visualize the time-relatedwork characteristics, models can be generated. Digital human modelling (DHM) enables to design and analyze motions, required time, and several ergonomic assessments through developing simulation models. In this study, a Human-Robot Collaboration (HRC) system is built using Siemens JACK software. Three different scenarios are developed for a gear pump assembly workstation to compare the physical workload of the worker when different number of cobots are utilized. Furthermore, other objective parameters like productivity and cycle time as an outcome of the human-robot task allocation are calculated within the software. The presented approach demonstrates the advantages of the collaborative work between the worker and the cobot in a shared workplace and evaluate different allocations of the tasks. The results reveal significant improvements for worker' conditions in terms of several physical workload aspects and productivity when certain assembly tasks are assigned to cobots.

关键词： Digital human modelling (DHM) Human Robot Collaboration (HRC) Simulation Assembly

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Improved Methods for the Separation of Track and Wheel Noise Components During a Train Pass-By 14th

Improved Methods for the Separation of Track and Wheel Noise...

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14th International Workshop on Railway Noise (IWRN)

作者： Thompson, David Zhao, Dong Cierco, Ester Jansen, Erwin Dittrich, Michael Univ Southampton Inst Sound & Vibrat Res Southampton SO17 Hants England Ingn El Control Ruido SL Berruguete 52 Barcelona 08035 Spain TNO Acoust & Sonar Oude Waalsdorperweg 63 NL-2597 AK The Hague Netherlands

ISBN: (纸本)9789819978519;9789819978526

Experimental techniques are described that aim to allow the wheel and track components of rolling noise to be separated from pass-by measurements. These are based on Advanced Transfer Path Analysis, Pass-by Analysis, and a method based on the TWINS model. Improvements to these methods and their experimental validation using field tests are described. Initial comparisons are made for two test cases, a metro train running at 60 km/h and a regional train running at 80 km/h. The three methods agree reasonably well in terms of overall trends. The largest differences are found at low frequencies where the two experimental methods give similar levels for sleeper and rail vertical components whereas the TWINS model gives a larger distinction between them.

关键词： Rolling noise Source separation Pass-by tests

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Turbulent Heat Flux Modelling by Using Elliptic-Blending k-ε-ζ-f RANS Model

Turbulent Heat Flux Modelling by Using Elliptic-Blending k-...

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Saudi International Conference on Nuclear Power engineering (SCOPE)

作者： Hadziabdic, Muhamed Hodza, Ammar Niceno, Bojan Int Univ Sarajevo Hrasnicka Cesta 15 Sarajevo 71000 Bosnia & Herceg Paul Scherrer Inst Sci Comp Theory & Data CH-5232 Villigen Switzerland

ISBN: (纸本)9783031643613;9783031643620

We report the results for two buoyancy-driven benchmark cases, heatdriven square cavity at Ra = 10(11), and Rayleigh- Benard convection at Ra = 10(9), by using the elliptic-blending eddy viscosity k-epsilon-zeta-f model (or just-f), and three different formulations of the turbulent heat flux, namely the Simple Gradient Diffusion Hypothesis (SGDH), the General Gradient Diffusion Hypothesis (GGDH) and the Algebraic heat Flux Model (AFM). The zeta-f model is well-posed for computing turbulent heat transfer since it contains an approximation of the normal Reynolds stress in the wall-normal direction that is needed in GGDH and AFM formulations. Furthermore, the modelling of the wall-blocking effect by using the elliptic-relaxation approach is physically more sound than the commonly used damping functions. This work is motivated by the recently held 17(th) ERCOFTAC SIG15/MONACO2025 workshop on turbulent natural convection flows in differentially heated cavities, [1], which demonstrated superior performance of the zeta-f model in predicting the main flow features for the selected cases.

关键词： Turbulent Heat Flux RANS Turbulent Heat Convection

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Material Parameters Identification of Thin Fiber-Based Materials Using the Method of Machine Learning Exploiting Numerically Generated Simulation Data 14th

Material Parameters Identification of Thin Fiber-Based Mater...

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14th International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM)

作者： Sanjon, Cedric Wilfried Leng, Yuchen Hauptmann, Marek Majschak, Jens-Peter Groche, Peter Fraunhofer Inst Proc Engn & Packaging IVV Heidelberger Str 20 D-01189 Dresden Germany Tech Univ Darmstadt Inst Prod Engn & Forming Machines PtU Otto Berndt Str 2 D-64287 Darmstadt Germany

ISBN: (纸本)9783031580086;9783031580062;9783031580055

The determination and validation of material parameters required for finite element simulation of the forming processes of fiber-based materials such as paper-board can be accomplished by strain-based loading of a specimen in combination with a simulation-based reverse engineering approach. Due to the complexity of the material itself, such as anisotropy, the development of such approaches can be very time-consuming and requires programming skills as well as expertise in FEM analysis and optimization. Machine learning methods offer a practical alternative to optimization, parameterization, and reverse engineering approaches, assuming that the data is fully known, generalized, and learned by the machine learning model. More specifically, a machine learning model can compute the material parameters required for a finite element simulation directly from the experimental measurements, if the hypothetical mapping function in this case is learned from the numerical study between material parameters and deformation behavior. In this paper, such data generated by numerical studies are used to train the machine learning model and, based on this, to determine elastic (e.g., Young's modulus), plastic, and Hill's parameters.

关键词： Finite element analysis Materials analysis Material parameters Material identification Machine learning

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