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Number of results: 12
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Abstract

The problem of mathematical modelling and indication of properties of a DIP has been investigated in this paper. The aim of this work is to aggregate the knowledge on a DIP modelling using the Euler-Lagrange formalism in the presence of external forces and friction. To indicate the main properties important for simulation, model parameters identification and control system synthesis, analytical and numerical tools have been used. The investigated properties include stability of equilibrium points, a chaos of dynamics and non-minimum phase behaviour around an upper position. The presented results refer to the model of a physical (constructed) DIP system.

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Authors and Affiliations

Kamil Andrzejewski
Mateusz Czyżniewski
Maciej Zielonka
Rafał Łangowski
ORCID: ORCID
Tomasz Zubowicz
ORCID: ORCID
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Abstract

Two phase flow experiments with different superficial velocities of gas and water were performed in a vertical upward isothermal cocurrent air-water flow column with conditions ranging from bubbly flow, with very low void fraction, to transition flow with some cap and slug bubbles and void fractions around 25%. The superficial velocities of the liquid and the gas phases were varied from 0.5 to 3 m/s and from 0 to 0.6 m/s, respectively. Also to check the effect of changing the surface tension on the previous experiments small amounts of 1-butanol were added to the water. These amounts range from 9 to 75 ppm and change the surface tension. This study is interesting because in real cases the surface tension of the water diminishes with temperature, and with this kind of experiments we can study indirectly the effect of changing the temperature on the void fraction distribution. The following axial and radial distributions were measured in all these experiments: void fraction, interfacial area concentration, interfacial velocity, Sauter mean diameter and turbulence intensity. The range of values of the gas superficial velocities in these experiments covered the range from bubbly flow to the transition to cap/slug flow. Also with transition flow conditions we distinguish two groups of bubbles in the experiments, the small spherical bubbles and the cap/slug bubbles. Special interest was devoted to the transition region from bubbly to cap/slug flow; the goal was to understand the physical phenomena that take place during this transition A set of numerical simulations of some of these experiments for bubbly flow conditions has been performed by coupling a Lagrangian code, that tracks the three dimensional motion of the individual bubbles in cylindrical coordinates inside the field of the carrier liquid, to an Eulerian model that computes the magnitudes of continuous phase and to a 3D random walk model that takes on account the fluctuation in the velocity field of the carrier fluid that are seen by the bubbles due to turbulence fluctuations. Also we have included in the model the deformation that suffers the bubble when it touches the wall and it is compressed by the forces that pushes it toward the wall, provoking that the bubble rebound like a ball.
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Authors and Affiliations

José Muñoz-Cobo
Sergio Chiva
Mohamed El Aziz Essa
Santos Mendes
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Abstract

The paper presents a mature concept of an intelligent monitoring system of air pollution inflow and its realization in the form of a SINZaP system lunched at Institute for Ecology of Industrial Areas (]ETU) in 2006. SINZaP is a real time operating system resembling a neural network. It is designed for modeling of pollutant emissions and air pollutants concentrations, addressed to specialists or decision makers responsible for air quality management. For modeling of emission and air pollutants concentrations in SIZNaP system, a back trajectory model -BackTrack has been used, which is based on YLSTRACK model. The essential feature ofthe BackTrack model is the application of back trajectories in the selection of emission sources influencing a given receptor. For modeling of trajectories BackTrack uses three-dimensional wind fields, friction velocity, MoninObukhov length and mixing layer height. SINZaP consists of four main modules: (I) data module including data scanner for reading public data accessible in the Internet, (2) module for preparation of meteorological data, (3) BackTrack module for simulations of pollutants emissions and simulations of air pollutants concentrations, and (4) Trainer module, the task ofwhich is correction of input parameters for adjusting modeling and observed data.
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Authors and Affiliations

Czeslaw Kliś
Joachim Bronder
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Abstract

The motion of submicron particles involves the deterministic terms resulting from the aerodynamic convection and/or electrostatic attraction, and the stochastic term from the thermal displacement of particles. The Langevin equation describes such behavior. The Brownian dynamics algorithm was used for integration of the Langevin equation for the calculation of the single fiber deposition efficiency. Additionally the deterministic and stochastic of the particle motion were derived, using the Lagrangian and Eulerian approaches of particle movement and balance, for the calculation of the single fiber deposition efficiency due to both mechanisms separately. Combination of the obtained results allows us for calculation of the coupling effect of inertia and interception with the Brownian diffusion in a form of correlation. The results of calculation show that the omitting of the coupling effect of particular mechanism and using the simple additive rule for determination of the single fiber deposition efficiency introduces significant error, especially for particles with diameter below 300 nm.

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Authors and Affiliations

Ewa Sztuk
Rafał Przekop
Leon Gradoń
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Abstract

In the presented paper, a problem of nonholonomic constrained mechanical systems is treated. New methods in nonholonomic mechanics are applied to a problem of a Forklift-truck robot motion. This method of the geometrical theory of general nonholonomic constrained systems on fibered manifolds and their jet prolongations, based on so-called Chetaev-type constraint forces. The relevance of this theory for general types of nonholonomic constraints, not only linear or affine ones, was then verified on appropriate models. On the other hand, the equations of motion of a Forklift-truck robot are highly nonlinear and rolling without slipping condition can only be expressed by nonholonomic constraint equations. In this paper, the geometrical theory is applied to the above mentioned mechanical problem. The results of numerical solutions of constrained equations of motion, derived within the theory, are presented.

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Authors and Affiliations

Soufiane Haddout
Mohamed Ait Guennoun
Zhiyi Chen
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Abstract

The article deals with a current state-of-art of fluid solid interaction (FSI) – the new branch of continuum physics. Fluid-solid interaction is a new quality of modeling physical processes of continuum mechanics, it can be described as the interaction of various (so far treated separately from the point of view of mathematical modeling) physical phenomena occurring in continuous media systems. The most correct is the simultaneous application of the laws of the given physical disciplines, which implies that fluid solid interaction is a subset of multi-physical applications where the interactions between these subsets are exchanged on the surface in interconnected systems. Our purpose is to extend the fluid solid interaction aplications into new phenomena what follow from the industrial needs and inovative thechnologies. Selecting the various approaches, we prefer the arbitraty lagrangean-eulerian description within the bulk of fluid/solid domain and a new sort of advanced boundary condition on a surface of common contact.
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Bibliography

[1] Badur J., Ziółkowski P., Zakrzewski W., Sławinski D., Kornet S., Kowalczyk T., Hernet T., Piotrowski R., Felincjancik J., Ziółkowski P.J.: An advanced thermal-FSI approach to flow heating/coolin. J. Phys. Conf. Ser. 530(2014), 340–370.
[2] Kornet S., Ziółkowski P., Józwik P., Ziółkowski P., Stajnke M., Badur J.: Thermal-FSI modeling of flow and heat transfer in a heat exchanger based on minichanels. J. Power Technol. 97(2017), 5, 373–381.
[3] Zienkiewicz O.C., Taylor R.L.: The Finite Element Method: Vol. 1 (5th Edn.). Butterworth-Heinemann, Oxford, 2000.
[4] Schäfer M., Sieber G., Sieber R., Teschauer I.: Coupled fluid-solid problems: Examples and reliable numerical simulation. In: Trends in Computational Structural Mechanics (W.A. Wall, Ed.), CIMNE, Barcelona 2001, 654–692.
[5] Axisa F.: Modelling of Mechanical Systems – Fluid-Structure Interaction. Elsevier, Berlin 2007.
[6] Bazilevs Y., Takizawa K., Tezduyar T.E.: Computational Fluid-Structure Interaction: Methods and Applications. John Wiley & Sons, 2013.
[7] Benson D.J., Souli M.: Arbitrary Lagrangian Eulerian and Fluid-Structure Interaction: Numerical Simulation. Springer-Verlag, 2010.
[8] Bodnar T., Galdi G.P., Necasova S.: Fluid-Structure Interaction and Biomedical Applications. Springer-Verlag, 2014.
[9] Peric D., Dettmer W.G.: A computational strategy for interaction of fluid flow with spatial structures. In: Proc. 5th Int. Conf. on Computational of Shell and Spatial Structures, IASS-IACM, Bochum, 2005.
[10] Ziółkowski P.J., Ochrymiuk T., Eremyev V.: Cont. Mech. Termodyn. 33(2021), 2301–2314.
[11] Ziółkowski P., Badur J.: A theoretical, numerical and experimental verification of the Reynolds thermal transpiration law. Int. J. Numer. Meth. for Heat Fluid Fl. 28(2018), 454–480.
[12] Ziółkowski P, Badur J., Ziółkowski P.J.: An energetic analysis of a gas turbine with regenerative heating using turbine extraction at intermediate pressure-Brayton cycle advanced according to Szewalski’s idea. Energy 185(2019), 763–786.
[13] Badur J., Ziółkowski P., Kornet S., Kowalczyk T., Banas K., Bryk M., Ziółkowski P.J., Stajnke M.: Enhanced energy conversion as a result of fluid-solid interaction in micro-and nanoscale. J. Theor. Appl. Mech. 56(2018), 1, 329–332.
[14] Kowalczyk T, Badur J., Bryk M.: Energy and exergy analysis of hydrogen production combined with electric energy generation in a nuclear cogeneration cycle. Energ. Convers. Manage. 198(2019), 203–224.
[15] Badur J., Bryk M.: Accelerated start-up of the steam turbine by means of controlled cooling steam injection. Energy 184(2019), 334–356.
[16] Bryk M., Kowalczyk T., Ziółkowski P., Badur J.: The thermal effort during marine steam turbine flooding with water. AIP Conf. Proc. 2077(2019), 1, 020009.
[17] Kraszewski B., Bzymek G., Ziółkowski P., Badur J.: Extremal thermal loading of a bifurcation pipe. AIP Conf. Proc. 2077(2019), 1, 020030.
[18] Dudda W., Banaszkiewicz M., Ziółkowski P.J.: Validation plastic model with hardening of St12t. AIP Conf. Proc. 2077(2019), 020016.
[19] Szwaba R., Ochrymiuk T., Lewandowski T., Czerwinska J.: Experimental investigation of microscale effects in perforated plate aerodynamics. J. Fluids Eng. 135(2013), 12.
[20] Badur J., Ziółkowski P., Kowalczyk T., Ziółkowski P.J., Stajnke M., Bryk M., Kraszewski B.: In: Proc. 6th Conf.e on Nano- and Micromechanics, Rzeszów, 3–7 July 2019.
[21] Badur J., Karcz M., Lemanski M., Nastałek L.: Enhancement Transport Phenomena in the Navier-Stokes Shell-like Slip Layer. Computer Model. Eng. Sci. 73(2011), 299–310.
[22] Banas K., Badur J.: Influence of strength differential effect on material effort of a turbine guide vane based on thermoelastoplastic analysis. J. Therm. Stress. 40(2017), 1368–1385.
[23] Kornet S., Badur J.: Infuence of turbulence RANS models on heat transfer coefficients and stress distribution during thermal-FSI analysis of power turbine guide vane of helicopter turbine engine PZL-10W taking into account convergence of heat flux. Prog. Comput. Fluid Dyn. 17(2017), 352–360.
[24] Ziółkowski P., Kowalczyk T., Kornet S., Badur J.: On low-grade waste heat utilization from a supercritical steam power plant using an ORC-bottoming cycle coupled with two sources of heat. Energ. Convers. Manage. 146(2017), 158–173.
[25] Ziółkowski P., Badur J.: On Navier slip and Reynolds transpiration numbers. Arch. Mech. 70(2018), 269–300.
[26] Ziółkowski P., Badur J.: Navier number and transition to turbulence. J. Phys. Conf. Ser. 530(2014), 1–8.
[27] Czechowicz K, Badur J, Narkiewicz K.: Two-way FSI modelling of blood flow through CCA accounting on-line medical diagnostics in hypertension. J. Phys. Conf. Ser. 530(2014), 1–8.
[28] Badur J., Lemanski M., Kowalczyk T., Ziółkowski P., Kornet P.: Zerodimensional robust model of an SOFC with internal reforming for hybrid energy cycles. Energy 158(2018), 128–138.
[29] Badur J., Ziółkowski P.J., Ziółkowski P.: On the angular velocity slip in nanoflows. Microfluid Nanofluid 19(2015), 191–198.
[30] Badur J., Ziółkowski P., Sławinski D., Kornet S.: An approach for estimation of water wall degradation within pulverized-coal boilers. Energy 92(2015), 142–152.
[31] Felicjancik J., Ziółkowski P., Badur J.: An advanced thermal-FSI approach of an evaporation of air heat pump. Trans. Inst. Fluid-Flow Mach. 129(2015), 111–141.
[32] Badur J., Stajnke M., Ziółkowski P., Józwik P., Bojar Z., Ziółkowski P.J.: Mathematical modeling of hydrogen production performance in thermocatalytic reactor based on the intermetallic phase of Ni3Al. Arch. Thermodyn. 3(2019), 3–26.
[33] Badur J., Ziółkowski P., Kornet S., Stajnke M., Bryk M., Banas K., Ziółkowski P.J.: The effort of the steam turbine caused by a flood wave load. AIP Conf. Proc. 1822(2017), 1, 020001.
[34] Badur J., Bryk M., Ziółkowski P., Sławinski D., Ziółkowski P.J., Kornet S., Stajnke M.: On a comparison of Huber–Mises–Hencky with Burzynski- Pecherski equivalent stresses for glass body during nonstationary thermal load. AIP Conf. Proc. 1822(2017), 1, 020002.
[35] Banaszkiewicz M.: On-line monitoring and control of thermal stresses in steam turbine rotors. Appl. Therm. Eng. 94(2016), 763–776
[36] Ochrymiuk T.: Numerical analysis of microholes film/effusion cooling effectiveness. J. Therm. Sci. 26(2017), 5, 459–464.
[37] Ochrymiuk T.: Numerical prediction of film cooling effectiveness over flat plate using variable turbulent Prandtl number closures. J. Therm. Sci. 25(2016), 3, 280– 286.
[38] Ochrymiuk T.: Numerical investigations of the 3D transonic field and heat transfer at the over-tip casing in a HP-turbine stage. Appl. Therm. Eng. 103(2016), 411–418.
[39] Froissart M., Ziolkowski P., Dudda W., Badur J.: Heat exchange enhancement of jet impingement cooling with the novel humped-cone heat sink. Case Stud. Therm. Eng. 28(2021), 1, 101445101445.
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Authors and Affiliations

Tomasz Ochrymiuk
1
Mariusz Banaszkiewicz
1 2
Marcin Lemański
1 3
Tomasz Kowalczyk
1
ORCID: ORCID
Paweł Ziółkowski
1 4
Piotr J. Ziółkowski
1
Rafał Hyrzyński
1 5
Michał Stajnke
1
Mateusz Bryk
1
Bartosz Kraszewski
1
Sylwia Kruk-Gotzman
1 6
Marcin Froissart
1
Janusz Badur
1

  1. Institute of Fluid Flow Machinery Polish Academy of Science, Fiszera 14, 80-331 Gdansk, Poland
  2. General Electric Power, Stoczniowa 2, 82-300 Elblag, Poland
  3. Anwil Grupa Orlen, Torunska 222, 87-800 Włocławek, Poland
  4. Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland
  5. Energa S.A. Grunwaldzka 472, 80-309 Gdansk, Poland
  6. Agencja Rynku Energii, Bobrowiecka 3, 00-728 Warszawa, Poland
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Abstract

Smoothed Particle Hydrodynamics (SPH) is a Lagrangian formula-based non-grid computational method for simulating fluid flows, solid deformation, and fluid structured systems. SPH is a method widely applied in many fields of science and engineering, especially in the field of materials science. It solves complex physical deformation and flow problems. This paper provides a basic overview of the application of the SPH method in metal processing. This is a very useful simulation method for reconstructing flow patterns, solidification, and predicting defects, limitations, or material destruction that occur during deformation. The main purpose of this review article is to give readers better understanding of the SPH method and show its strengths and weaknesses. Studying and promoting the advantages and overcoming the shortcomings of the SPH method will help making great strides in simulation modeling techniques. It can be effectively applied in training as well as for industrial purposes.
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Authors and Affiliations

Trang T.T. Nguyen
1
ORCID: ORCID
Marcin Hojny

  1. AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Department of Applied Computer Science and Modeling, al. Mickiewicza 30, 30-059 Kraków, Poland
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Abstract

Numerical simulations of the KOBO extrusion process are presented in this paper. The coupled thermomechanical Eulerian-Lagrangian approach was applied for the three-dimensional finite element model. The dynamic explicit Euler forward method was used in numerical calculations. The elastic-plastic Chaboche model assuming isotropic and kinematic hardening under variable temperature conditions was applied to describe the behaviour of the material under cyclic loading. In numerical computations Chaboche material model implemented in commercial software, as well as the proprietary one written as FORTRAN procedure were tested. The numerical results present the stress and strain distributions in the extruded material, as well as an increase of temperature due to the plastic work and friction. The shape of plastic strain zones was verified experimentally. The approach presented in the paper is a promising numerical tool to simulate the KOBO process.
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Authors and Affiliations

Marta Wójcik
ORCID: ORCID
A. Skrzat
1
ORCID: ORCID

  1. Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Materials Forming and Processing, 8 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
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Abstract

A formulation developed at the Laboratory of Mechanical Engineering allows robust and efficient simulation of large and complex multibody systems. Simulators of cars, excavators and other systems have been developed showing that real-time simulations are possible even when facing demanding manoeuvres. Hydraulic actuators are presented in many industrial applications of multibody systems, like in the case of the heavy machinery field. When simulating the dynamics of this kind of problems that combine multibody dynamics and hydraulics, two different approaches are common: to resort to kinematically guide the variable length of the actuator, thus avoiding the need to consider the dynamics of the hydraulic system; or to perform a multi-rate integration of both subsystems if a more detailed description of the problem is required, for example, when the objective of the study is to optimize the pump control. This work addresses the inclusion of hydraulic actuators dynamics in the above-mentioned self-developed multibody formulation, thus leading to a unified approach. An academic example serves to compare the efficiency, accuracy and ease of implementation of the simplified (kinematic guidance), multi-rate and unified approaches. Such a comparison is the main contribution of the paper, as it may serve to provide guidelines on which approach to select depending on the problem characteristics.

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Authors and Affiliations

Miguel A. Naya
Javier Cuadrado
Daniel Dopico
Urbano Lugris
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Abstract

The article describes motion planning of an underwater redundant manipulator with revolute joints moving in a plane under gravity and in the presence of obstacles. The proposed motion planning algorithm is based on minimization of the total energy in overcoming the hydrodynamic as well as dynamic forces acting on the manipulator while moving underwater and at the same time, avoiding both singularities and obstacle. The obstacle is considered as a point object. A recursive Lagrangian dynamics algorithm is formulated for the planar geometry to evaluate joint torques during the motion of serial link redundant manipulator fully submerged underwater. In turn the energy consumed in following a task trajectory is computed. The presence of redundancy in joint space of the manipulator facilitates selecting the optimal sequence of configurations as well as the required joint motion rates with minimum energy consumed among all possible configurations and rates. The effectiveness of the proposed motion planning algorithm is shown by applying it on a 3 degrees-of-freedom planar redundant manipulator fully submerged underwater and avoiding a point obstacle. The results establish that energy spent against overcoming loading resulted from hydrodynamic interactions majorly decides the optimal trajectory to follow in accomplishing an underwater task.
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Bibliography

[1] D.E. Whitney. Resolved motion rate control of manipulators and human prostheses. IEEE Transaction on Man-Machine System, 10(2):47–53,1969. doi: 10.1109/TMMS.1969.299896.
[2] Z. Shiller and H-H. Lu. Computation of path constrained time optimal motions with dynamic singularities. Journal of Dynamic Systems, Measurement, and Control, 114(1):34–40,1992. doi: 10.1115/1.2896505.
[3] N. Faiz and S.K. Agrawal.Trajectory planning of robots with dynamics and inequalities. In Proceedings IEEE International Conference on Robotics and Automation, pages 3976–3982, 2000. doi: 10.1109/ROBOT.2000.845351.
[4] S. Macfarlane and E.A. Croft. Jerk-bounded manipulator trajectory planning: design for realtime applications. IEEE Transactions on Robotics and Automation, 19(1):42–52, 2003. doi: 10.1109/TRA.2002.807548.
[5] G. Antonelli, S. Chiaverini, and N. Sarkar. External force control for underwater vehiclemanipulator systems. IEEE Transactions on Robotics and Automation, 17(6):931–938, 2001. doi: 10.1109/70.976027.
[6] D. Yoerger and J. Slotine. Robust trajectory control of underwater vehicles. IEEE Journal of Oceanic Engineering, 10(4):462–470, 1985. doi: 10.1109/JOE.1985.1145131.
[7] A. Alvarez, A. Caiti, and R. Onken. Evolutionary path planning for autonomous underwater vehicles in a variable ocean. IEEE Journal of Oceanic Engineering, 29(2):418–429, 2004. doi: 10.1109/JOE.2004.827837.
[8] N. Sarkar and T.K. Podder. Coordinated motion planning and control of autonomous underwater vehicle-manipulator systems subject to drag optimization. IEEE Journal of Oceanic Engineering, 26(2):228–239, 2001. doi: 10.1109/48.922789.
[9] J. Yuh. Modeling and control of underwater robotic vehicles. IEEE Transactions on Systems, Man and Cybernetics, 20(6):1475–1483, 1990. doi: 10.1109/21.61218.
[10] B. Lévesque and M.J. Richard. Dynamic analysis of a manipulator in a fluid environment. International Journal of Robotics Research, 13(3):221–231, 1994. doi: 10.1177/027836499401300304.
[11] T.I. Fossen. Guidance and Control of Ocean Vehicles. John Wiley, New York, 1994.
[12] G. Antonelli. Underwater Robots. 2nd ed. Springer, 2006.
[13] T.J. Tarn, G.A. Shoults, and S.P. Yang. A dynamic model of an underwater vehicle with a robotic manipulator using Kane’s method. Autonomous Robots, 3:269–283, 1996. doi: 10.1007/BF00141159.
[14] J.M. Hollerbach. A recursive Lagrangian formulation of manipulator dynamics and a comparative study of dynamics formulation complexity. IEEE Transactions on Systems, Man, and Cybernetics, 10(11):730–736, 1980. doi: 10.1109/TSMC.1980.4308393.
[15] J.N. Newman. Marine Hydrodynamics. 40th Anniversary Edition. The MIT Press, 2018.
[16] A. Kumar, V. Kumar, and S. Sen. Dynamics of underwater manipulator: a recursive Lagrangian formulation. In R. Kumar, V.S. Chauhan, M. Talha, H. Pathak (Eds.), Machines, Mechanism and Robotics, Lecture Notes in Mechanical Engineering, pages 555–570. Springer, Singapure, 2022. doi: 10.1007/978-981-16-0550-5_56.
[17] A.K. Sharma and S.K. Saha. Simplified drag modeling for the dynamics of an underwater manipulator. IEEE Journal of Ocean Engineering, 46(1):40–55, 2021. doi: 10.1109/JOE.2019.2948412.
[18] R. Colbaugh, H. Seraji, and K.L. Glass. Obstacle avoidance for redundant robots using configuration control. Journal of Robotics Systems, 6(6):721–744,1989. doi: 10.1002/rob.4620060605.
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Authors and Affiliations

Virendra Kumar
1
ORCID: ORCID
Soumen Sen
1
Shibendu Shekhar Roy
2

  1. Robotics and Automation Division, CSIR-Central Mechanical Engineering Research Institute, Durgapur, India
  2. Mechanical Engineering Department, National Institute of Technology, Durgapur, India
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Abstract

The most important task in tests of resistance of aircraft structures to the terorist threats is to determine the vulnerability of thin-walled structures to the blast wave load. For obvious reasons, full-scale experimental investigations are carried out exceptionally. In such cases, numerical simulations are very important. They make it possible to tune model parameters, yielding proper correlation with experimental data. Basing on preliminary numerical analyses - experiment can be planned properly. The paper presents some results of dynamic simulations of finite element (FE) models of a medium-size aircraft fuselage. Modeling of C4 detonation is also discussed. Characteristics of the materials used in FE calculations were obtained experimentally. The paper describes also the investigation of sensitivity of results of an explicit dynamic study to FE model parameters in a typical fluid-structure interaction (FSI) problem (detonation of a C4 explosive charge). Three cases of extent of the Eulerian mesh (the domain which contains air and a charge) were examined. Studies have shown very strong sensitivity of the results to chosen numerical models of materials, formulations of elements, assumed parameters etc. Studies confirm very strong necessity of the correlation of analysis results with experimental data. Without such a correlation, it is difficult to talk about the validation of results obtained from "explicit" codes.

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Authors and Affiliations

Adam Dacko
Jacek Toczyski
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Abstract

We apply a fluid-structure interaction method to simulate prototypical dynamics of the aortic heart-valve. Our method of choice is based on a monolithic coupling scheme for fluid-structure interactions in which the fluid equations are rewritten in the 'arbitrary Lagrangian Eulerian' (ALE) framework. To prevent the backflow of structure waves because of their hyperbolic nature, a damped structure equation is solved on an artificial layer that is used to prolongate the computational domain. The increased computational cost in the presence of the artificial layer is resolved by using local mesh adaption. In particular, heuristic mesh refinement techniques are compared to rigorous goal-oriented mesh adaption with the dual weighted residual (DWR) method. A version of this method is developed for stationary settings. For the nonstationary test cases the indicators are obtained by a heuristic error estimator, which has a good performance for the measurement of wall stresses. The results for prototypical problems demonstrate that heart-valve dynamics can be treated with our proposed concepts and that the DWR method performs best with respect to a certain target functional.

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Authors and Affiliations

Thomas Wick

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