TY - GEN A1 - Wurm, Andreas A1 - Bestle, Dieter T1 - Robust design optimization for improving automotive shift quality T2 - Optimization and Engineering KW - robust design KW - optimization Y1 - 2016 U6 - https://doi.org/10.1007/s11081-015-9290-1 SN - 1573-2924 SN - 1389-4420 VL - 17 IS - 2 SP - 421 EP - 436 ER - TY - CHAP A1 - Wehbi, Kassem A1 - Bestle, Dieter A1 - Kahlbau, Sebastian T1 - Multi-objective Launch Control Optimization for Automatic Clutch Engagement T2 - Tagungsband, 6th International Conference on Experiments/Process/System Modeling/Simulation/ Optimization (6th IC-EpsMsO), Athen (Griechenland), 8.-11. Juli 2015 KW - Optimisation KW - Multi-objective Launch Control Y1 - 2015 SN - 978-618-80527-8-9 PB - LFME CY - Athen ER - TY - CHAP A1 - Ubben, Paul Tobe A1 - Bestle, Dieter A1 - Haug, Jürgen T1 - Robust Automotive Suspension Design Using Adaptive Response Surface Based Multi-objektive Optimization T2 - 11. Weimarer Optimierungs- und Stochastiktage – 06. - 07. November 2014 N2 - Deterministic optimization is used in all fields of engineering, especially in early design processes based on digital prototypes and simulation. A major disadvantage of deterministic optimization is the unknown robustness of the found solution against uncertainties of system parameters. Therefore, the Robust Design Optimization (RDO) concept as combination of Robustness Analysis (RA) and deterministic optimization was developed. In this paper, such an approach is applied to the optimization of a suspension for passenger cars w.r.t. typical driving maneuvers. The suspension behavior has to be robust against uncertainties without defining strict limits or safety margins. The coupled multi-objective RDO procedure will find a Pareto-front w.r.t. mean value and variance of chosen objectives. As a result, a specific compromise regarding system robustness and mean performance may be chosen from this Pareto-set. To overcome the vast amount of CPU-time, required for expensive direct function evaluations, an adaptive response surface method (aRSM) is integrated. The overall process then consists of an inner loop involving a multi-objective evolutionary algorithm based on response surfaces and an outer loop, where metamodeling is performed on a set of support points. This set is initialized in the first iteration step and updated afterwards by picking promising designs from the Pareto-fronts of the surrogate model, which are then evaluated exactly. KW - robust design KW - multi-objective optimization Y1 - 2015 UR - http://www.dynardo.de/bibliothek/industriefelder/fahrzeugbau.html PB - DYNARDO GmbH CY - Weimar ER - TY - GEN A1 - Janke, Christian A1 - Bestle, Dieter A1 - Becker, Bernd T1 - Compressor Map Computation Based on 3D CFD Analysis T2 - CEAS Aeronautical Journal KW - 3D CFD Analysis Y1 - 2015 U6 - https://doi.org/10.1007/s13272-015-0159-y SN - 1869-5582 VL - 6 IS - 4 SP - 515 EP - 527 ER - TY - GEN A1 - Ubben, Paul Tobe A1 - Bestle, Dieter A1 - Haug, Jürgen T1 - Robust Automotive Suspension Design Using Adaptive Response Surface Based Multi-objektive Optimization T2 - RDO-Journal KW - multi-objective optimization Y1 - 2015 IS - 2 SP - 10 EP - 15 ER - TY - CHAP A1 - Hartwig, Lennard A1 - Bestle, Dieter T1 - Enhancing Low-Fidelity Compressor Design by Utilizing a Surrogate Model based on Higher-Fidelity Information T2 - 7th International Conference from "Scientific Computing to Computational Engineering", Athen, 6-9 July, 2016 KW - section blading KW - similarity law KW - surrogate modeling KW - Kriging KW - hierarchical optimization Y1 - 2016 UR - http://www.scce.gr/conf_index/abstracts/ic_scce_2016_abs_018.pdf SN - 978-618-80527-9-6 SN - 978-618-82173-1-7 ER - TY - CHAP A1 - Martin, Ivo A1 - Bestle, Dieter T1 - Automated Mode Identification of Airfoil Geometries to be used in an Optimization Process T2 - ASME Turbo Expo 2016, Turbomachinery Technical Conference and Exposition, Volume 7A, Structures and Dynamics, Seoul, South Korea, June 13–17, 2016 Y1 - 2016 SN - 978-0-7918-4983-5 U6 - https://doi.org/10.1115/GT2016-56987 N1 - Paper No. GT2016-56987 PB - ASME CY - New York, NY ER - TY - GEN A1 - Rui, Xiaoting A1 - Bestle, Dieter A1 - Zhang, Jianshu A1 - Zhou, Qinbo T1 - A New Version of Transfer Matrix Method for multibody Systems T2 - Multibody System Dynamics Y1 - 2016 U6 - https://doi.org/10.1007/s11044-016-9528-5 SN - 1573-272X VL - 38 IS - 2 SP - 137 EP - 156 ER - TY - CHAP A1 - Janke, Christian A1 - Goller, M. A1 - Martin, Ivo A1 - Gaun, Lilia A1 - Bestle, Dieter T1 - 3D-CFD Compressor Map Computation of a Multi-Stage Axial Compressor with Off-Design Adjusted Rotor Geometries T2 - ASME Turbo Expo 2016, Turbomachinery Technical Conference and Exposition, Volume 7A, Structures and Dynamics, Seoul, South Korea, June 13–17, 2016 Y1 - 2016 SN - 978-0-7918-4983-5 N1 - Paper No. GT2016-56745 PB - ASME CY - New York, NY [u.a.] ER - TY - CHAP A1 - Ubben, Paul Tobe A1 - Haug, J. A1 - Bestle, Dieter T1 - Concept for Automated Automotive Chassis Architecture Design T2 - 7th International Munich Chassis Symposium 2016, 14.06.2016 - 15.06.2016, München Y1 - 2016 SN - 978-3-658-14218-6 SN - 978-3-658-14219-3 SP - 348 PB - Springer Vieweg CY - Wiesbaden ER - TY - GEN A1 - Wehbi, Kassem A1 - Bestle, Dieter A1 - Beilharz, Jörg T1 - Automatic Calibration Process for Optimal Control of Clutch Engagement during Launch T2 - Mechanics Based Design of Structures and Machines Y1 - 2017 U6 - https://doi.org/10.1080/15397734.2016.1250221 SN - 1539-7742 VL - 45 IS - 4 SP - 507 EP - 522 ER - TY - GEN A1 - Abbas, Laith K. A1 - Zhou, Qinbo A1 - Bestle, Dieter A1 - Rui, Xiaoting T1 - A Unified Approach for Treating Multibody Systems Involving Flexible Beams T2 - Mechanism and Machine Theory Y1 - 2017 U6 - https://doi.org/10.1016/j.mechmachtheory.2016.09.022 SN - 0094-114X VL - 107 SP - 197 EP - 209 ER - TY - CHAP A1 - Hartwig, Lennard A1 - Bestle, Dieter T1 - Compressor Blade Design for Stationary Gas Turbines Using Dimension Reduced Surrogate Modeling T2 - IEEE Congress on Evolutionary Computation, 5.-8.6.2017, Donostia/San Sebastián, Spain KW - Compressor Blade Design KW - Surrogate Modelling KW - Coupled Optimization Y1 - 2017 SN - 978-1-5090-4601-0 SN - 978-1-5090-4602-7 U6 - https://doi.org/10.1109/CEC.2017.7969493 SP - 1595 EP - 1602 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Hendler, Marco A1 - Extra, Simon A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Compressor Design in the Context of Holistic Aero Engine Design T2 - 2017 AIAA Aviation Forum, Denver, AIAA-2017-3334, 2017 KW - Holistic Optimization KW - Aero Engines KW - Computational Fluid Dynamics Y1 - 2017 U6 - https://doi.org/10.2514/6.2017-3334 ER - TY - CHAP A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Janke, Christian A1 - Meyer, Marcus T1 - Optimization of Coupled System Components Using Approximations of Interface Quantities T2 - ASME Turbo Expo 2017, Turbomachinery Conference and Exposition, Volume 2C, Turbomachinery Charlotte, North Carolina, USA, June 26-30, 2017 KW - Optimization KW - Approximation Y1 - 2017 SN - 978-0-7918-5080-0 U6 - https://doi.org/10.1115/GT2017-64135 N1 - GT2017-64135 PB - ASME CY - New York, NY ER - TY - GEN A1 - Martin, Ivo A1 - Bestle, Dieter T1 - Automated eigenmode classification for airfoils in the presence of fixation uncertainties T2 - Engineering Applications of Artificial Intelligence N2 - Abstract Automated structural design optimization should take into acc ount risk of failure which depends on eigenmodes, since eigenmode shap es determine failure risk by their characteristic stress concentration pattern, as well as by their specific interaction with excitations. T hus, such a process needs to be able to identify eigenmodes with low e rror rate. This is a rather challenging task, because eigenmodes depen d on the geometry of the structure which is changing during the design process, and on boundary conditions which are not clearly defined due to uncertainties in the assembly and running conditions. The present investigation aims to find a proper classification method for eigenmod es of compressor airfoils. Specific data normalization and data depend ent initialization of a neural network using principle-component direc tions as initial weight vectors have led to the development of a class ification and decision procedure enabling automatic assignment of prop er uncertainty bands to eigenfrequencies of a specific eigenmode shape . Application to compressor airfoils of a stationary gas-turbine with hammer-foot and dove-tail roots demonstrates the high performance of t he proposed procedure. KW - Principle-component analysis Y1 - 2018 UR - https://www.sciencedirect.com/science/article/pii/S0952197617302361 U6 - https://doi.org/https://doi.org/10.1016/j.engappai.2017.09.022 SN - 0952-1976 VL - 67 SP - 187 EP - 196 ER - TY - GEN A1 - Hofmann, Timo A1 - Brenner, Tobias A1 - Bestle, Dieter T1 - Investigation of the Disc Deflection Behavior of Shim Valves in Vehicle Shock Absorbers T2 - SAE technical papers Y1 - 2018 SN - 0148-7191 SN - 0096-5170 IS - 2018-01-0701 ER - TY - CHAP A1 - Wehbi, Kassem A1 - Wurm, Andreas A1 - Bestle, Dieter A1 - Beilharz, Jörg ED - Röpke, Karsten ED - Gühmann, Clemens T1 - Automated Calibration Using Simulation and Robust Design Optimization Improving Shift and Launch Quality of Automatic Transmissions T2 - Automotive data analytics, methods, DoE, proceedings of the International Calibration Conference Y1 - 2017 SN - 978-3-8169-3381-6 SP - 18 EP - 33 PB - Expert Verlag CY - Renningen ER - TY - RPRT A1 - Bestle, Dieter A1 - Lockan, Michael A1 - Hartwig, Lennard A1 - Martin, Ivo T1 - Q3D Optimierung vielstufiger Verdichter in der Vorauslegung und robuste multidisziplinäre Schaufelauslegung Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-42225 SN - 978-3-940471-30-7 PB - Brandenburgische Technische Universität Cottbus-Senftenberg, IKMZ-Universitätsbibliothek CY - Cottbus ; Senftenberg ER - TY - GEN A1 - Brenner, Tobias A1 - Hofmann, Timo A1 - Rieger, Karl-Josef A1 - Bestle, Dieter T1 - Untersuchung des Geräuschverhaltens von Kraftfahrzeug-Schwingungsdämpfern und Elastomerlagern T2 - 16. Internationale VDI-Tagung Reifen-Fahrwerk-Fahrbahn 2017 Y1 - 2017 SN - 978-3-18-092296-6 SP - 187 EP - 198 PB - VDI Verlag CY - Düsseldorf ER -