Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 10
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The use of elastic bodies within a multibody simulation became more and more important within the last years. To include the elastic bodies, described as a finite element model in multibody simulations, the dimension of the system of ordinary differential equations must be reduced by projection. For this purpose, in this work, the modal reduction method, a component mode synthesis based method and a moment-matching method are used. Due to the always increasing size of the non-reduced systems, the calculation of the projection matrix leads to a large demand of computational resources and cannot be done on usual serial computers with available memory. In this paper, the model reduction software Morembs++ is presented using a parallelization concept based on the message passing interface to satisfy the need of memory and reduce the runtime of the model reduction process. Additionally, the behaviour of the Block-Krylov-Schur eigensolver, implemented in the Anasazi package of the Trilinos project, is analysed with regard to the choice of the size of the Krylov base, the blocksize and the number of blocks. Besides, an iterative solver is considered within the CMS-based method.

Go to article

Authors and Affiliations

Thomas Volzer
Peter Eberhard
Download PDF Download RIS Download Bibtex

Abstract

In elastic multibody systems, one considers large nonlinear rigid body motion and small elastic deformations. In a rising number of applications, e.g. automotive engineering, turning and milling processes, the position of acting forces on the elastic body varies. The necessary model order reduction to enable efficient simulations requires the determination of ansatz functions, which depend on the moving force position. For a large number of possible interaction points, the size of the reduced system would increase drastically in the classical Component Mode Synthesis framework. If many nodes are potentially loaded, or the contact area is not known a-priori and only a small number of nodes is loaded simultaneously, the system is described in this contribution with the parameter-dependent force position. This enables the application of parametric model order reduction methods. Here, two techniques based on matrix interpolation are described which transform individually reduced systems and allow the interpolation of the reduced system matrices to determine reduced systems for any force position. The online-offline decomposition and description of the force distribution onto the reduced elastic body are presented in this contribution. The proposed framework enables the simulation of elastic multibody systems with moving loads efficiently because it solely depends on the size of the reduced system. Results in frequency and time domain for the simulation of a thin-walled cylinder with a moving load illustrate the applicability of the proposed method.

Go to article

Authors and Affiliations

Michael Fischer
Peter Eberhard
Download PDF Download RIS Download Bibtex

Abstract

In high-performance optical systems, small disturbances can be sufficient to put the projected image out of focus. Little stochastic excitations, for example, are a huge problem in those extremely precise opto-mechanical systems. To avoid this problem or at least to reduce it, several possibilities are thinkable. One of these possibilities is the modification of the dynamical behavior. In this method the redistribution of masses and stiffnesses is utilized to decrease the aberrations caused by dynamical excitations. Here, a multidisciplinary optimization process is required for which the basics of coupling dynamical and optical simulation methods will be introduced. The optimization is based on a method for efficiently coupling the two types of simulations. In a concluding example, the rigid body dynamics of a lithography objective is optimized with respect to its dynamical-optical behavior.

Go to article

Authors and Affiliations

Nicolai Wengert
Peter Eberhard
Download PDF Download RIS Download Bibtex

Abstract

The dynamics of the turning process of a thin-walled cylinder in manufacturing is modeled using flexible multibody system theory. The obtained model is time varying due to workpiece rotation and tool feed and retarded, due to repeated cutting of the same surface. Instabilities can occur due to these consecutive cuts that must be avoided in practical application because of the detrimental effects on workpiece, tool and possibly the machine. Neglecting the small feed, the stability of the resulting periodic system with time-delay can be analyzed using the semi-discretization method. The use of an adaptronic tool holder comprising actuators and sensors to improve the dynamic stability is then investigated. Different control concepts, two collocated and two model-based, are implemented in simulation and tuned to increase the domain of stable cutting. Cutting of a moderately thin workpiece exhibits instabilities mainly due to tool vibration. In this case, the stability boundary can be significantly improved. When the instability is due to workpiece vibration, the collocated concepts fail completely. Model based concepts can still obtain some improvements, but are sensitive to modeling errors in the coupling of workpiece and tool.

Go to article

Authors and Affiliations

Achim Fischer
Peter Eberhard
Download PDF Download RIS Download Bibtex

Abstract

For a deeper understanding of the inner ear dynamics, a Finite-Element model of the human cochlea is developed. To describe the unsteady, viscous creeping flow of the liquid, a pressure-displacement-based Finite-Element formulation is used. This allows one to efficiently compute the basilar membrane vibrations resulting from the fluid-structure interaction leading to hearing nerve stimulation. The results show the formation of a travelingwave on the basilar membrane propagating with decreasing velocity towards the peaking at a frequency dependent position. This tonotopic behavior allows the brain to distinguish between sounds of different frequencies. Additionally, not only the middle ear, but also the transfer behavior of the cochlea contributes to the frequency dependence of the auditory threshold. Furthermore, the fluid velocity and pressure fields show the effect of viscous damping forces and allow us to deeper understand the formation of the pressure difference, responsible to excite the basilar membrane.

Go to article

Bibliography

[1] L. Robles and M.A. Ruggero. Mechanics of the mammalian cochlea. Physiological Reviews, 81(3):1305–1352, 2001. doi: 10.1152/physrev.2001.81.3.1305.
[2] M. Fleischer. Mehrfeldmodellierung und Simulation der äußeren Haarsinneszelle der Cochlea (Multifield modelling and simulation of the outer hair cells of the cochlea). Doctoral Thesis. Technische Universität Dresden, Germany, 2012. (in German).
[3] J. Baumgart. The hair bundle: Fluid-structure interaction in the inner ear. Doctoral Thesis. Technische Universität Dresden, Germany, 2010 .
[4] J. Tian, X. Huang, Z. Rao, N. Ta, and L. Xu. Finite element analysis of the effect of actuator coupling conditions on round window stimulation. Journal of Mechanics in Medicine and Biology, 15(4):1–19, 2015. doi: 10.1142/S0219519415500487.
[5] R.Z. Gan, B.P. Reeves, and X. Wang. Modeling of sound transmission from ear canal to cochlea. Annals of Biomedical Engineering, 35:2180–2195, 2007. doi: 10.1007/s10439-007-9366-y.
[6] L. Xu, X. Huang, N. Ta, Z. Rao, and J. Tian. Finite element modeling of the human cochlea using fluid-structure interaction method. Journal of Mechanics in Medicine and Biology, 15(3):1–13, 2015. doi: 10.1142/S0219519415500396.
[7] H.W. Ades and H. Engström. Anatomy of the inner ear. In: Keidel W.D., Neff W.D. (eds) Auditory System. Handbook of Sensory Physiology, vol. 5/1. Springer, Berlin, 1974. doi: 10.1007/978-3-642-65829-7_5.
[8] C.R. Steele, G.J. Baker, J.A. Tolomeo, and D.E. Zetes-Tolometo. Cochlear mechanics. In: J.D. Bronzino (ed.) The Biomedical Engineering Handbook, CRC Press, 2006.
[9] S. Iurato. Functional implications of the nature and submicroscopic structure of the tectorial and basilar membranes. The Journal of the Acoustical Society of America, 34(9):1386–1395, 1962. doi: 10.1121/1.1918355.
[10] H. Herwig. Strömungsmechanik: Einführung in die Physik von technischen Strömungen (Introduction to the Physics of Technical Flows). Springer Vieweg, Wiesbaden; 2008. (in German).
[11] H. Schlichting and K. Gersten. Boundary-Layer Theory, vol. 7. Springer-Verlag, Berlin, 2017.
[12] G.H. Keulegan and L.H. Carpenter. Forces on cylinders and plates in an oscillating fluid. Journal of Research of the National Bureau of Standards, 60:423–440, 1958.
[13] E. Zwicker. Über die Viskosität der Lymphe im Innenohr des Hausschweines (About the viscosity of the lymph in the inner ear of the domestic pig). Acta Otolaryngologica, 78(1-6): 65–72, 1974. (in German). doi: 10.3109/00016487409126327.
[14] M. Lesser and D. Berkley. Fluid mechanics of the cochlea. Part 1. Journal of Fluid Mechanics, 51(3):497–512, 1972. doi: 10.1017/S0022112072002320.
[15] A. De Paolis, H. Watanabe, J. Nelson, M. Bikson, M. Marom, M. Packer, and L. Cardoso. Human cochlear hydrodynamics: A high-resolution μCT-based finite element study. Journal of Biomechanics, 50:209–216, 2017. doi: 10.1016/j.jbiomech.2016.11.020.
[16] L. Papula. Mathematische Formelsammlung (Mathematical Formula Collection). Springer Verlag, Wiesbaden, 2014. (in German).
[17] O.C. Zienkiewicz, R.L. Taylor, and J.Z. Zhu. The Finite Element Method: Its Basis and Fundamentals, 6 ed. Elsevier Butterworth-Heinemann, Oxford, 2006.
[18] J.E. Sader. Frequency response of cantilever beams immersed in viscous fluids with applications to the atomic force microscope. Journal of Applied Physics, 84(1):64–76, 1998. doi: 10.1063/1.368002.
[19] E. de Boer. Auditory physics. Physical principles in hearing theory. Part 1. Physics Reports, 62(2):87–174, 1980. doi: 10.1016/0370-1573(80)90100-3.
[20] M.J. Wittbrodt, C.R. Steele, and S. Puria. Developing a physical model of the human cochlea using microfabrication methods. Audiology and Neurotology, 11(2):104–112, 2006. doi: 10.1159/000090683.
[21] C.R. Steele and J.G. Zais. Effect of coiling in a cochlear model. The Journal of the Acoustical Society of America, 77(5):1849–1852, 1985. doi: 10.1121/1.391935.
[22] J. Wysocki. Dimensions of the human vestibular and tympanic scalae. Hearing Research, 135(1-2):39–46, 1999. doi: 10.1016/S0378-5955(99)00088-X.
[23] M. Thorne, A.N. Salt, J.E. DeMott, M.M. Henson, O.W. Henson, and S.L. Gewalt. Cochlear fluid space dimensions for six species derived from reconstructions of resonance images. Annals of Otology, Rhinology & Laryngology, 109(10):1661–1668, 1999. doi: 10.1097/00005537-199910000-00021.
[24] G. Herrmann and H. Liebowitz. Mechanics of Bone Fractures. Academic Press, New York, 1972.
[25] J. Kirikae. The Middle Ear. Tokyo: University of Tokyo Press, 1960.
[ 26] F. Atturo, M. Barbara, and H. Rask-Andersen. Is the human round window really round? An anatomic study with surgical implications. Otology and Neurotology, 35(8):1354–1360, 2014. doi: 10.1097/MAO.0000000000000332.
[27] M.V. Goycoolea and L. Lundman. Round window membrane. Structure, function and permeability. A review. Microscopy Research and Technique, 36(3):201–211, 1997. doi: 10.1002/(SICI)1097-0029(19970201)36:3201::AID-JEMT8>3.0.CO;2-R.
[28] M. Kwacz, M. Mrówka, and J. Wysocki. Round window membrane motion before and after stapedotomy surgery. An experimental study. Acta of Bioengineering and Biomechanics, 13(3):27–33, 2011.
[29] X. Zhang and R.Z. Gan. Dynamic properties of human round window membrane in auditory frequencies running head: Dynamic properties of round window membrane. Medical Engineering & Physics, 35(3):310–318, 2013. doi: 10.1016/j.medengphy.2012.05.003.
[30] A.A. Poznyakovskiy, T. Zahnert, Y. Kalaidzidis, N. Lazurashvili, R. Schmidt, H.J. Hardtke, B. Fischer, and Y.M. Yarin. A segmentation method to obtain a complete geometry model of the hearing organ. Hearing Research, 282(1-2):25–34, 2011. doi: 10.1016/j.heares.2011.06.009.
[31] P. Leichsenring. Aufbereitung von Geometriedaten der menschlichen Cochlea (Preparation of geometry data for the human cochlea). Master Thesis. Technische Universität Dresden, Germany, 2012. (in German).
[32] E.G. Wever. The width of the basilar membrane in man. Annals of Otology, Rhinology & Laryngology, 47:37–47, 1938.
[33] F. Böhnke. Finite Elemente Analysen zur Berechnung der Signalverarbeitung in der Cochlea (Analyses for computation of signal processing in the cochlea). Doctoral Thesis. Technische Universität Ilmenau, Germany, 1999. (in German).
[34] L.M. Cabezudo. The ultrastructure of the basilar membrane in the cat. Acta Oto-Laryngologica, 86(1-6):160–175, 1978. doi: 10.3109/00016487809124733.
[35] S. Newburg, A. Zosuls, P. Barbone, and D. Mountain. Mechanical response of the basilar membrane to lateral micromanipulation. In: Concepts and Challenges in the Biophysics of Hearing. Proceedings of the 10th International Workshop on the Mechanics of Hearing, pages 240–246, 2009. doi: 10.1142/9789812833785_0038.
[36] V. Tsuprun and P. Santi. Ultrastructure and immunohistochemical identification of the extracellular matrix of the chinchilla cochlea. Hearing Research, 129(1-2):35–49, 1999. doi: 10.1016/S0378-5955(98)00219-6.
[37] I.U. Teudt and C.P. Richter. The hemicochlea preparation of the guinea pig and other mammalian cochleae. Journal of Neuroscience Methods, 162(1-2):187–197, 2007. doi: 10.1016/j.jneumeth.2007.01.012.
[38] M. Fleischer, R. Schmidt, and A.W. Gummer. Compliance profiles derived from a three-dimensional finite-element model of the basilar membrane. The Journal of the Acoustical Society of America, 127(5):2973–2991, 2010. doi: 10.1121/1.3372752.
[39] J. Baumgart, M. Fleischer, and C. Steele. The traveling wave in the human inner ear studied by means of a finite-element model including middle and outer ear. In: Proceedings of the 23rd International Congress on Sound and Vibration, Greece, 2016.
[40] H. Altenbach, J.W. Altenbach, and W. Kissing. Mechanics of Composite Structural Elements. Springer-Verlag, Berlin, 2013.
[41] R.C. Naidu and D.C. Mountain. Basilar membrane tension calculations for the gerbil cochlea. The Journal of the Acoustical Society of America, 121(2):994–1002, 2007. doi: 10.1121/1.2404916.
[42] S. Liu and R.D. White. Orthotropic material properties of the gerbil basilar membrane. The Journal of the Acoustical Society of America, 123(4):2160–2171, 2008. doi: 10.1121/1.2871682.
[43] C.E. Miller. Structural implications of basilar membrane compliance measurements. The Journal of the Acoustical Society of America, 77(4):146–1474, 1985. doi: 10.1121/1.392041.
[44] L. Schweitzer, C. Lutz, M. Hobbs, and S.P. Weaver. Anatomical correlates of the passive properties underlying the developmental shift in the frequency map of the mammalian cochlea. Hearing Research, 97(1-2):84–94, 1996. doi: 10.1016/S0378-5955(96)80010-4.
[45] R.C. Naidu and D.C. Mountain. Measurements of the stiffness map challenge. A basic tenet of cochlear theories. Hearing Research, 124(1-2):124–131, 1998. doi: 10.1016/S0378-5955(98)00133-6.
[46] H. Wada and T. Kobayashi. Dynamical behavior of middle ear: Theoretical study corresponding to measurement results obtained by a newly developed measuring apparatus. The Journal of the Acoustical Society of America, 87(1):237–245, 1990. doi: 10.1121/1.399290.
[47] M. Kwacz, P. Marek, P. Borkowski, and M. Mrówka. A three-dimensional finite element model of round window membrane vibration before and after stapedotomy surgery. Biomechanics and Modeling in Mechanobiology, 12:1243–1261, 2013. doi: 10.1007/s10237-013-0479-y.
[48] P. Wahl. Simulation der Fluidströmung und Basilarmembranschwingung im menschlichen Innenohr (Simulation of fluid flow and basilar membrane vibrations in the human inner ear). Doctoral Thesis. Universität Stuttgart, Germany, 2018. (in German).
[49] J.H. Sim, M. Chatzimichalis, M. Lauxmann, C. Röösli, A. Eiber, and A. Huber. Complex stapes motion in human ears. Journal of the Association for Research in Otolaryngology, 11(3):329–341, 2010. doi: 10.1007/s10162-010-0207-6.
[50] S. Huang and E.S. Olson. Auditory nerve excitation via a non-traveling wave mode of basilar membrane motion. Journal of the Association for Research in Otolaryngology, 12:559–575, 2011. doi: 10.1007/s10162-011-0272-5.
[51] G. von Békésy. Experiments in Hearing. McGraw-Hill, New York, 1960.
[52] T.Ren. Longitudinal pattern of basilar membrane vibration in the sensitive cochlea. Proceedings of the National Academy of Sciences, 99(26):17101–17106, 2002. doi: 10.1073/pnas.262663699.
[53] S. Stenfelt, S. Puria, N. Hato, and R.L. Goode. Basilar membrane and osseous spiral lamina motion in human cadavers with air and bone conduction stimuli. Hearing Research, 181(1-2):131–143, 2003. doi: 10.1016/S0378-5955(03)00183-7.
[54] S. Ramamoorthy, N.V. Deo, and K. Grosh. A mechano-electro-acoustical model for the cochlea: response to acoustic stimuli. The Journal of the Acoustical Society of America, 121(5):2758–2773, 2007. doi: 10.1121/1.2713725.
[55] W.E. Langlois and M.O. Deville. Slow Viscous Flow. 2nd ed. Springer, Cham, 2014. doi: 10.1007/978-3-319-03835-3.
[56] E. Olson. Direct measurement of intra-cochlear pressure waves. Nature, 402:526–529, 1999. doi: 10.1038/990092.
[57] D.D. Greenwood. A cochlear frequency-position function for several species – 29 years later. The Journal of the Acoustical Society of America, 87(6):2592–2605, 1990. doi: 10.1121/1.399052.
[58] H.G. Boenninghaus and T. Lenarz. HNO: Hals-Nasen-Ohrenheilkunde (Otorhinolaryngology). Springer, Berlin, 2007. (in German).
Go to article

Authors and Affiliations

Philipp Wahl
1
Pascal Ziegler
1
Peter Eberhard
1

  1. Institute of Engineering and Computational Mechanics, University of Stuttgart, Germany
Download PDF Download RIS Download Bibtex

Abstract

There exist cases where precise simulations of contact forces do not allow modeling the gears as rigid bodies but a fully elastic description is needed. In this paper, a modally reduced elastic multibody system including gear contact based on a floating frame of reference formulation is proposed that allows very precise simulations of fully elastic gears with appropriately meshed gears in reasonable time even for many rotations. One advantage of this approach is that there is no assumption about the geometry of the gears and, therefore, it allows precise investigations of contacts between gears with almost arbitrary non-standard tooth geometries including flank profile corrections.

This study presents simulation results that show how this modal approach can be used to efficiently investigate the interaction between elastic deformations and flank profile corrections as well as their influence on the contact forces. It is shown that the elastic approach is able to describe important phenomena like early addendum contact for insufficiently corrected profiles in dependence of the transmitted load. Furthermore, it is shown how this approach can be used for precise and efficient simulations of beveloid gears.

Go to article

Authors and Affiliations

Trong Phu Do
Peter Eberhard
Pascal Ziegler

Authors and Affiliations

Josep M. Font-Llagunes
Peter Eberhard
Janusz Frączek
Download PDF Download RIS Download Bibtex

Abstract

Paintings inevitably bear severe mechanical loads during transportation.Understanding the dynamic characteristics of paintings helps to avoid damage during transportation and to effectively slow down their aging.In this contribution, the vibration characteristics of canvas and primed canvas of paintings and their influencing factors are studied experimentally.For this reason, two dummy paintings with canvas in a common orientation and a tilted orientation are investigated, and an experimental setup using an excitation mechanism and a laser Doppler vibrometer is developed.In order to avoid changes of the modal parameters related to humidity or temperature, all experiments were conducted in a climate box.The modal parameters of dummy paintings are identified by means of experimental modal analysis.Also, the difference in modal properties of the two dummy paintings before and after applying the primer are compared.The identified modal parameters are used to reconstruct their eigenmodes.From the identified modal parameters a numerical model is derived, which is then compared to measurements.The comparison shows a good agreement, hence is a hint for the correctness of assuming a modal structure and the quality of the modal parameter identification.Lastly, with the help of the climate box, the influences of humidity and temperature on the eigenfrequencies of dummy paintings are studied.
Go to article

Bibliography

[1] M.F. Mecklenburg. Art in transit: Studies in the transport of paintings. In Proceedings of International Conference on the Packing and Transportation of Paintings, London, 1991.
[2] E. Tsiranidou, E. Bernikola, V. Tornari, T. Fankhauser, M. Läuchli, C. Palmbach, and N. Bäschlin. Holographic monitoring of transportation effects on canvas paintings. SPIE Newsroom, pages 1–3, 2011. doi: 10.1117/2.1201106.003767 .
[3] N. Hein. Die materielle Veränderung von Kunst durch Transporte–Monitoring und Transportschadensbewertung an Gemälden durch das Streifenprojektionsverfahren. Ph.D. Thesis, Staatliche Akademie der Bildenden Künste Stuttgart, Stuttgart, 2015. (in German).
[4] C. Krekel and N. Hein. Kunsttransport: Gibt es eine Grenze zwischen Schaden und beschleunigter Alterung? In Proceedings of ICOM International Council of Museums, Köln, volume 4, pages 12–17, 2014.
[5] C. Krekel and Heinemann C. Wenn Kunstwerke auf Reisen gehen: Mikroschäden mithilfe hochauflösender 3D-Modelle finden und dokumentieren. Das Magazin der Deutschen Forschungsgemeinschaft, 4:12–17, 2020. (in German).
[6] K. Kracht. Die Untersuchung des Schwingungsverhaltens von Ölgemälden in Abhängigkeit der Alterung. Ph.D. Thesis, Technische Universität, Berlin, 2011. (in German).
[7] A. Gmach. Erschütternde Umstände – Schwingungsbelastung von Kunst- und Bauwerken. M.Sc. Thesis, Technische Universität München, 2010. (in German).
[8] M. Läuchli, N. Bäschlin, A. Hoess, T. Fankhauser, C. Palmbach, and M. Ryser. Packing systems for paintings: Damping capacity in relation to transport-induced shock and vibration. In Proceedings of ICOM-CC 17th Trienniel Conference, Melbourne, pages 1–9, 15–19 Sep. 2014.
[9] K. Kracht and T. Kletschkowski. From art to engineering: a technical review on the problem of vibrating canvas part i: excitation and efforts of vibration reduction. Facta Universitatis, Series: Mechanical Engineering, 15(1):163–182, 2017. doi: /10.22190/FUME161010009K .
[10] C. Palmbach. Messung transportbedingter Schwingungen an textilen Bildträgern. M.Sc. Thesis, 2007. (in German).
[11] C. Heinemann, P. Ziegler, N. Hein, C. Krekel, and P. Eberhard. Objektiviertes Gemäldetransportmonitoring unter Berücksichtigung mechanischer Einflussfaktoren. Zeitschrift für Kunsttechnologie und Konservierung, 33(1):178–198, 2019. (in German).
[12] P.G. Chiriboga Arroyo. Finite Element Modeling of Vibrations in Canvas Paintings. Ph.D. Thesis, Delft University of Technology, Delft, 2013.
[13] S. Michalski. Paintings: Their response to temperature, relative humidity, shock, and vibration. Art in Transit: Studies in the Transport of Paintings, pages 223–248, 1991.
[14] M.F. Mecklenburg. Some aspects of the mechanical behavior of fabric supported paintings. Smithsonian Institution, 1982.
[15] E.W. Hagan, M.N. Charalambides, C.T. Young, T.J. Learner, and S. Hackney. Tensile properties of latex paint films with TiO2 pigment. Mechanics of Time-Dependent Materials, 13(2):149–161, 2009. doi: 10.1007/s11043-009-9076-y .
[16] E. Kreyszig. Advanced Engineering Mathematics. John Wiley & Sons, 10 edition, 2009.
[17] D.J. Ewins. Modal Testing: theory, practice and application. John Wiley & Sons, 2009.
[18] R.J. Allemang and D.L. Brown. A complete review of the complex mode indicator function (CMIF) with applications. In Proceedings of ISMA International Conference on Noise and Vibration Engineering, Katholieke Universiteit Leuven, Belgium, pages 3209–3246, 2006.
[19] N.R. Draper and H. Smith. Applied Regression Analysis. John Wiley & Sons, 3 edition, 1998.
Go to article

Authors and Affiliations

Yulong Gao
ORCID: ORCID
Pascal Ziegler
ORCID: ORCID
Carolin Heinemann
ORCID: ORCID
Eva Hartlieb
ORCID: ORCID
Peter Eberhard
ORCID: ORCID

This page uses 'cookies'. Learn more