[{"article_number":"157","project":[{"_id":"130","name":"TRR 285: TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten","grant_number":"418701707"},{"_id":"131","name":"TRR 285 - A: TRR 285 - Project Area A"},{"name":"TRR 285 – A05: TRR 285 - Subproject A05","_id":"139"}],"_id":"58491","user_id":"84990","status":"public","type":"journal_article","doi":"10.3390/jmmp8040157","date_updated":"2025-01-31T17:03:34Z","author":[{"full_name":"Friedlein, Johannes","last_name":"Friedlein","first_name":"Johannes"},{"first_name":"Max","full_name":"Böhnke, Max","last_name":"Böhnke"},{"first_name":"Malte","full_name":"Schlichter, Malte","last_name":"Schlichter"},{"full_name":"Bobbert, Mathias","last_name":"Bobbert","first_name":"Mathias"},{"first_name":"Gerson","full_name":"Meschut, Gerson","last_name":"Meschut"},{"first_name":"Julia","full_name":"Mergheim, Julia","last_name":"Mergheim"},{"first_name":"Paul","last_name":"Steinmann","full_name":"Steinmann, Paul"}],"volume":8,"citation":{"mla":"Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” <i>Journal of Manufacturing and Materials Processing</i>, vol. 8, no. 4, 157, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>.","short":"J. Friedlein, M. Böhnke, M. Schlichter, M. Bobbert, G. Meschut, J. Mergheim, P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024).","bibtex":"@article{Friedlein_Böhnke_Schlichter_Bobbert_Meschut_Mergheim_Steinmann_2024, title={Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}, volume={8}, DOI={<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>}, number={4157}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI AG}, author={Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}, year={2024} }","apa":"Friedlein, J., Böhnke, M., Schlichter, M., Bobbert, M., Meschut, G., Mergheim, J., &#38; Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. <i>Journal of Manufacturing and Materials Processing</i>, <i>8</i>(4), Article 157. <a href=\"https://doi.org/10.3390/jmmp8040157\">https://doi.org/10.3390/jmmp8040157</a>","ama":"Friedlein J, Böhnke M, Schlichter M, et al. Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. <i>Journal of Manufacturing and Materials Processing</i>. 2024;8(4). doi:<a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>","chicago":"Friedlein, Johannes, Max Böhnke, Malte Schlichter, Mathias Bobbert, Gerson Meschut, Julia Mergheim, and Paul Steinmann. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” <i>Journal of Manufacturing and Materials Processing</i> 8, no. 4 (2024). <a href=\"https://doi.org/10.3390/jmmp8040157\">https://doi.org/10.3390/jmmp8040157</a>.","ieee":"J. Friedlein <i>et al.</i>, “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining,” <i>Journal of Manufacturing and Materials Processing</i>, vol. 8, no. 4, Art. no. 157, 2024, doi: <a href=\"https://doi.org/10.3390/jmmp8040157\">10.3390/jmmp8040157</a>."},"intvolume":"         8","publication_status":"published","publication_identifier":{"issn":["2504-4494"]},"keyword":["ductile damage","stress-state dependency","failure","parameter identification","punch test","clinching"],"language":[{"iso":"eng"}],"abstract":[{"text":"<jats:p>Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments.</jats:p>","lang":"eng"}],"publication":"Journal of Manufacturing and Materials Processing","title":"Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining","publisher":"MDPI AG","date_created":"2025-01-31T16:59:13Z","year":"2024","issue":"4"},{"publication":"ECCM21 - Proceedings of the 21st European Conference on Composite Materials","type":"conference","abstract":[{"text":"Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior. To capture this in simulations, intricate models with a variety of parameters are typically used. The identification of values for such parameters is highly challenging and requires in depth understanding of the model itself. Machine learning (ML) is a promising approach for alleviating this challenge by directly predicting parameters based on experimental results. So far, this works mostly for purely artificial data. In this work, two approaches to generalize to experimental data are investigated: a sequential approach, leveraging understanding of the constitutive model and a direct, purely data driven approach. This is exemplary carried out for a highly non-linear strain rate dependent constitutive model for the shear behavior of FRP.The sequential model is found to work better on both artificial and experimental data. It is capable of extracting well suited parameters from the artificial data under realistic conditions. For the experimental data, the model performance depends on the composition of the experimental curves, varying between excellently suiting and reasonable predictions. Taking the expert knowledge into account for ML-model training led to far better results than the purely data driven approach. Robustifying the model predictions on experimental data promises further improvement. ","lang":"eng"}],"status":"public","_id":"62078","project":[{"_id":"130","name":"TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"_id":"137","name":"TRR 285 - Subproject A03"},{"name":"TRR 285 - Project Area A","_id":"131"}],"user_id":"105344","keyword":["Direct parameter identification","Machine learning","Convolutional neural networks","Strain rate dependency","Fiber reinforced plastics","woven composites","segmentation","synthetic training data","x-ray computed tomography"],"language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-2-912985-01-9"]},"year":"2024","page":"1252–1259","intvolume":"         3","citation":{"chicago":"Gerritzen, Johannes, Andreas Hornig, Peter Winkler, and Maik Gude. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” In <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 3:1252–1259. European Society for Composite Materials (ESCM), 2024. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>.","ieee":"J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning,” in <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, 2024, vol. 3, pp. 1252–1259, doi: <a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","bibtex":"@inproceedings{Gerritzen_Hornig_Winkler_Gude_2024, title={Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning}, volume={3}, DOI={<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>}, booktitle={ECCM21 - Proceedings of the 21st European Conference on Composite Materials}, publisher={European Society for Composite Materials (ESCM)}, author={Gerritzen, Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}, year={2024}, pages={1252–1259} }","mla":"Gerritzen, Johannes, et al. “Direct Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive Models Using Machine Learning.” <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, vol. 3, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259, doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>.","short":"J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.","apa":"Gerritzen, J., Hornig, A., Winkler, P., &#38; Gude, M. (2024). Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>, <i>3</i>, 1252–1259. <a href=\"https://doi.org/10.60691/yj56-np80\">https://doi.org/10.60691/yj56-np80</a>","ama":"Gerritzen J, Hornig A, Winkler P, Gude M. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. In: <i>ECCM21 - Proceedings of the 21st European Conference on Composite Materials</i>. Vol 3. European Society for Composite Materials (ESCM); 2024:1252–1259. doi:<a href=\"https://doi.org/10.60691/yj56-np80\">10.60691/yj56-np80</a>"},"publisher":"European Society for Composite Materials (ESCM)","date_updated":"2026-02-27T06:46:21Z","volume":3,"author":[{"full_name":"Gerritzen, Johannes","id":"105344","orcid":"0000-0002-0169-8602","last_name":"Gerritzen","first_name":"Johannes"},{"full_name":"Hornig, Andreas","last_name":"Hornig","first_name":"Andreas"},{"first_name":"Peter","last_name":"Winkler","full_name":"Winkler, Peter"},{"first_name":"Maik","last_name":"Gude","full_name":"Gude, Maik"}],"date_created":"2025-11-04T12:47:06Z","title":"Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning","doi":"10.60691/yj56-np80"},{"type":"book_chapter","publication":"The Minerals, Metals &amp; Materials Series","abstract":[{"text":"Nowadays, clinching is a widely used joining technique, where sheets are joined by pure deformation to create an interlock without the need for auxiliary parts. This leads to advantages such as reduced joining time and manufacturing\r\ncosts. On the other hand, the joint strength solely relies on directed material deformation, which renders an accurate material modelling essential to reliably predict the joint forming. The formation of the joint locally involves large plastic strains and possibly complex non-proportional loading paths, as typical of many metal forming applications. Consequently, a finite plasticity formulation is utilised incorporating a Chaboche–Rousselier kinematic hardening law to capture the Bauschinger effect. Material parameters are identified from tension–compression tests on miniature spec-\r\nimens for the dual-phase steel HCT590X. The resulting material model is implemented in LS-Dyna to study the locally diverse loading paths and give a quantitative statement on the importance of kinematic hardening for clinching. It turns out that the Bauschinger effect mainly affects the springback of the sheets and has a smaller effect on the joint forming itself.","lang":"eng"}],"status":"public","project":[{"name":"TRR 285: TRR 285","_id":"130","grant_number":"418701707"},{"name":"TRR 285 - A: TRR 285 - Project Area A","_id":"131"},{"name":"TRR 285 – A05: TRR 285 - Subproject A05","_id":"139"}],"_id":"34211","user_id":"7850","keyword":["Clinching","Material modelling","Kinematic hardening","Parameter identification","Bauschinger effect"],"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["9783031062117","9783031062124"],"issn":["2367-1181","2367-1696"]},"year":"2022","place":"Cham","citation":{"short":"J. Friedlein, J. Mergheim, P. Steinmann, in: The Minerals, Metals &#38;amp; Materials Series, Springer International Publishing, Cham, 2022.","bibtex":"@inbook{Friedlein_Mergheim_Steinmann_2022, place={Cham}, title={Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-06212-4_31\">10.1007/978-3-031-06212-4_31</a>}, booktitle={The Minerals, Metals &#38;amp; Materials Series}, publisher={Springer International Publishing}, author={Friedlein, Johannes and Mergheim, Julia and Steinmann, Paul}, year={2022} }","mla":"Friedlein, Johannes, et al. “Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal.” <i>The Minerals, Metals &#38;amp; Materials Series</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-06212-4_31\">10.1007/978-3-031-06212-4_31</a>.","apa":"Friedlein, J., Mergheim, J., &#38; Steinmann, P. (2022). Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal. In <i>The Minerals, Metals &#38;amp; Materials Series</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-06212-4_31\">https://doi.org/10.1007/978-3-031-06212-4_31</a>","ieee":"J. Friedlein, J. Mergheim, and P. Steinmann, “Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal,” in <i>The Minerals, Metals &#38;amp; Materials Series</i>, Cham: Springer International Publishing, 2022.","chicago":"Friedlein, Johannes, Julia Mergheim, and Paul Steinmann. “Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal.” In <i>The Minerals, Metals &#38;amp; Materials Series</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-06212-4_31\">https://doi.org/10.1007/978-3-031-06212-4_31</a>.","ama":"Friedlein J, Mergheim J, Steinmann P. Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal. In: <i>The Minerals, Metals &#38;amp; Materials Series</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-06212-4_31\">10.1007/978-3-031-06212-4_31</a>"},"publisher":"Springer International Publishing","date_updated":"2022-12-05T21:05:52Z","author":[{"last_name":"Friedlein","full_name":"Friedlein, Johannes","first_name":"Johannes"},{"first_name":"Julia","last_name":"Mergheim","full_name":"Mergheim, Julia"},{"full_name":"Steinmann, Paul","last_name":"Steinmann","first_name":"Paul"}],"date_created":"2022-12-05T21:01:29Z","title":"Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal","doi":"10.1007/978-3-031-06212-4_31"},{"abstract":[{"text":"State-of-the-art industrial compact high power electronic packages require copper-copper interconnections with larger cross sections made by ultrasonic bonding. In comparison to aluminium-copper, copper-copper interconnections require increased normal forces and ultrasonic power, which might lead to substrate damage due to increased mechanical stresses. One option to raise friction energy without increasing vibration amplitude between wire and substrate or bonding force is the use of two-dimensional vibration. The first part of this contribution reports on the development of a novel bonding system that executes two-dimensional vibrations of a tool-tip to bond a nail- like pin onto a copper substrate. Since intermetallic bonds only form properly when surfaces are clean, oxide free and activated, the geometries of tool-tip and pin were optimised using finite element analysis. To maximize the area of the bonded annulus the distribution of normal pressure was optimized by varying the convexity of the bottom side of the pin. Second, a statistical model obtained from an experimental parameter study shows the influence of different bonding parameters on the bond result. To find bonding parameters with the minimum number of tests, the experiments have been planned using a D-optimal experimental design approach.","lang":"eng"}],"status":"public","type":"conference","publication":"(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)","keyword":["ultrasonic wire-bonding","bond-tool design","parameter identification","statistical engineering"],"language":[{"iso":"eng"}],"project":[{"_id":"93","name":"Hochleistungsbonden in energieeffizienten Leistungshalbleitermodulen","grant_number":"MP-1-1-015"}],"_id":"9992","user_id":"210","department":[{"_id":"151"}],"year":"2018","citation":{"ieee":"C. Dymel <i>et al.</i>, “Numerical and statistical investigation of weld formation in a novel two-dimensional copper-copper bonding process,” in <i>(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)</i>, 2018, pp. 1–6.","chicago":"Dymel, Collin, Paul Eichwald, Reinhard Schemmel, Tobias Hemsel, Michael Brökelmann, Matthias Hunstig, and Walter Sextro. “Numerical and Statistical Investigation of Weld Formation in a Novel Two-Dimensional Copper-Copper Bonding Process.” In <i>(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)</i>, 1–6, 2018.","ama":"Dymel C, Eichwald P, Schemmel R, et al. Numerical and statistical investigation of weld formation in a novel two-dimensional copper-copper bonding process. In: <i>(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)</i>. ; 2018:1-6.","mla":"Dymel, Collin, et al. “Numerical and Statistical Investigation of Weld Formation in a Novel Two-Dimensional Copper-Copper Bonding Process.” <i>(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)</i>, 2018, pp. 1–6.","bibtex":"@inproceedings{Dymel_Eichwald_Schemmel_Hemsel_Brökelmann_Hunstig_Sextro_2018, title={Numerical and statistical investigation of weld formation in a novel two-dimensional copper-copper bonding process}, booktitle={(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)}, author={Dymel, Collin and Eichwald, Paul and Schemmel, Reinhard and Hemsel, Tobias and Brökelmann, Michael and Hunstig, Matthias and Sextro, Walter}, year={2018}, pages={1–6} }","short":"C. Dymel, P. Eichwald, R. Schemmel, T. Hemsel, M. Brökelmann, M. Hunstig, W. Sextro, in: (Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany), 2018, pp. 1–6.","apa":"Dymel, C., Eichwald, P., Schemmel, R., Hemsel, T., Brökelmann, M., Hunstig, M., &#38; Sextro, W. (2018). Numerical and statistical investigation of weld formation in a novel two-dimensional copper-copper bonding process. In <i>(Proceedings of 7th Electronics System-Integration Technology Conference, Dresden, Germany)</i> (pp. 1–6)."},"page":"1-6","quality_controlled":"1","title":"Numerical and statistical investigation of weld formation in a novel two-dimensional copper-copper bonding process","date_updated":"2020-05-07T05:33:56Z","date_created":"2019-05-27T10:18:10Z","author":[{"first_name":"Collin","id":"66833","full_name":"Dymel, Collin","last_name":"Dymel"},{"first_name":"Paul","last_name":"Eichwald","full_name":"Eichwald, Paul"},{"first_name":"Reinhard","last_name":"Schemmel","id":"28647","full_name":"Schemmel, Reinhard"},{"first_name":"Tobias","full_name":"Hemsel, Tobias","id":"210","last_name":"Hemsel"},{"first_name":"Michael","full_name":"Brökelmann, Michael","last_name":"Brökelmann"},{"first_name":"Matthias","last_name":"Hunstig","full_name":"Hunstig, Matthias"},{"last_name":"Sextro","id":"21220","full_name":"Sextro, Walter","first_name":"Walter"}]},{"type":"journal_article","publication":"Archive of Applied Mechanics","status":"public","abstract":[{"lang":"eng","text":"Piezoelectric inertia motors use the inertia of a body to drive it by means of a friction contact in a series of small steps. It has been shown previously in theoretical investigations that higher velocities and smoother movements can be obtained if these steps do not contain phases of stiction (''stick-slip`` operation), but use sliding friction only (''slip-slip`` operation). One very promising driving option for such motors is the superposition of multiple sinusoidal signals or harmonics. In this contribution, the theoretical results are validated experimentally. In this context, a quick and reliable identification process for parameters describing the friction contact is proposed. Additionally, the force generation potential of inertia motors is investigated theoretically and experimentally. The experimental results confirm the theoretical result that for a given maximum frequency, a signal with a high fundamental frequency and consisting of two superposed sine waves leads to the highest velocity and the smoothest motion, while the maximum motor force is obtained with signals containing more harmonics. These results are of fundamental importance for the further development of high-velocity piezoelectric inertia motors."}],"user_id":"55222","department":[{"_id":"151"}],"_id":"9876","language":[{"iso":"eng"}],"keyword":["Inertia motor","High velocity","Stick-slip motor","Slip-slip operation","Friction parameter identification"],"publication_identifier":{"issn":["0939-1533"]},"citation":{"mla":"Hunstig, Matthias, et al. “High-Velocity Operation of Piezoelectric Inertia Motors: Experimental Validation.” <i>Archive of Applied Mechanics</i>, Springer Berlin Heidelberg, 2014, pp. 1–9, doi:<a href=\"https://doi.org/10.1007/s00419-014-0940-0\">10.1007/s00419-014-0940-0</a>.","bibtex":"@article{Hunstig_Hemsel_Sextro_2014, title={High-velocity operation of piezoelectric inertia motors: experimental validation}, DOI={<a href=\"https://doi.org/10.1007/s00419-014-0940-0\">10.1007/s00419-014-0940-0</a>}, journal={Archive of Applied Mechanics}, publisher={Springer Berlin Heidelberg}, author={Hunstig, Matthias and Hemsel, Tobias and Sextro, Walter}, year={2014}, pages={1–9} }","short":"M. Hunstig, T. Hemsel, W. Sextro, Archive of Applied Mechanics (2014) 1–9.","apa":"Hunstig, M., Hemsel, T., &#38; Sextro, W. (2014). High-velocity operation of piezoelectric inertia motors: experimental validation. <i>Archive of Applied Mechanics</i>, 1–9. <a href=\"https://doi.org/10.1007/s00419-014-0940-0\">https://doi.org/10.1007/s00419-014-0940-0</a>","ama":"Hunstig M, Hemsel T, Sextro W. High-velocity operation of piezoelectric inertia motors: experimental validation. <i>Archive of Applied Mechanics</i>. 2014:1-9. doi:<a href=\"https://doi.org/10.1007/s00419-014-0940-0\">10.1007/s00419-014-0940-0</a>","chicago":"Hunstig, Matthias, Tobias Hemsel, and Walter Sextro. “High-Velocity Operation of Piezoelectric Inertia Motors: Experimental Validation.” <i>Archive of Applied Mechanics</i>, 2014, 1–9. <a href=\"https://doi.org/10.1007/s00419-014-0940-0\">https://doi.org/10.1007/s00419-014-0940-0</a>.","ieee":"M. Hunstig, T. Hemsel, and W. Sextro, “High-velocity operation of piezoelectric inertia motors: experimental validation,” <i>Archive of Applied Mechanics</i>, pp. 1–9, 2014."},"page":"1-9","year":"2014","date_created":"2019-05-20T13:08:08Z","author":[{"full_name":"Hunstig, Matthias","last_name":"Hunstig","first_name":"Matthias"},{"first_name":"Tobias","full_name":"Hemsel, Tobias","id":"210","last_name":"Hemsel"},{"full_name":"Sextro, Walter","id":"21220","last_name":"Sextro","first_name":"Walter"}],"publisher":"Springer Berlin Heidelberg","date_updated":"2019-05-20T13:08:43Z","doi":"10.1007/s00419-014-0940-0","title":"High-velocity operation of piezoelectric inertia motors: experimental validation"}]