Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation

Author: Rhode, Stephan

Publisher: KIT Scientific Publishing

Published: 2018-10-01

Total Pages: 242

ISBN-13: 3731508079

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This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.

Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

Author: Scheubner, Stefan

Publisher: KIT Scientific Publishing

Published: 2022-06-03

Total Pages: 190

ISBN-13: 3731511665

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This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.

Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

Author: Masino, Johannes

Publisher: KIT Scientific Publishing

Published: 2021-03-31

Total Pages: 234

ISBN-13: 3731510049

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The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.

Numerical prediction of curing and process-induced distortion of composite structures
Numerical prediction of curing and process-induced distortion of composite structures

Author: Bernath, Alexander

Publisher: KIT Scientific Publishing

Published: 2021-10-29

Total Pages: 294

ISBN-13: 3731510634

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Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.

Experimental investigation and process simulation of the compression molding process of Sheet Molding Compound (SMC) with local reinforcements
Experimental investigation and process simulation of the compression molding process of Sheet Molding Compound (SMC) with local reinforcements

Author: Hohberg, Martin

Publisher: KIT Scientific Publishing

Published: 2022-04-05

Total Pages: 216

ISBN-13: 3731510073

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In this book, a new three-dimensional approach for the process simulation of SMC is developed. This approach takes into account both, the core layer that is dominated by the extensional viscosity and the thin lubrication layer. In order to transfer the information from the process to the structure simulation, a CAE chain is further developed. In addition, a new rheological tool is developed to analyze flow behavior experimentally and to provide the required material parameters.

Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines
Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines

Author: Ays, Isabelle Charlotte

Publisher: KIT Scientific Publishing

Published: 2022-06-27

Total Pages: 330

ISBN-13: 3731510332

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This work focuses on the development of a quantification method for GHG (CO2e) emissions from construction machines. The method considers CO2e reduction potentials in the time past-present–future, through influencing factors from six pillars: Machine efficiency, process efficiency, energy source, operating efficiency, material efficiency and CCS. In addition, transformation solutions are proposed to reduce GHG emissions from construction machines like liquid methane, fuel cell drive or CCS.

Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts
Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts

Author: Fengler, Benedikt

Publisher: KIT Scientific Publishing

Published: 2021-03-31

Total Pages: 200

ISBN-13: 3731510065

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In this work, contributes to the optimization of local continuous fiber reinforcement patches, under consideration of manufacturing constraints. This approach requires specific optimization strategies. Therefore, an multi-objective optimization strategy for the placement of local reinforcement patches, under consideration of manufacturing constraints, has been developed. During the multi objective optimization, structural and process related objectives are considered.

Simulation of the thermoforming process of UD fiber-reinforced thermoplastic tape laminates
Simulation of the thermoforming process of UD fiber-reinforced thermoplastic tape laminates

Author: Dörr, Dominik

Publisher: KIT Scientific Publishing

Published: 2021-10-29

Total Pages: 334

ISBN-13: 3731509989

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In this work, initially, the requirements on a simulation model of the non-isothermal stamp forming process of unidirectional fiber-reinforced, and thermoplastic tape laminates are investigated experimentally. On this basis, different isothermal as well as a fully coupled thermomechanical simulation model under consideration of the crystallization kinetics are developed. For validation, a complex shaped geometry is simulated and compared to experimental forming results.

Simulation of damage mechanisms in weave reinforced materials based on multiscale modeling
Simulation of damage mechanisms in weave reinforced materials based on multiscale modeling

Author: Naake, Dominik Robert

Publisher: KIT Scientific Publishing

Published: 2020-09-18

Total Pages: 304

ISBN-13: 3731510057

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A weave reinforced composite material with a thermoplastic matrix is investigated by using a multiscale chain to predict the macroscopic material behavior. A large-strain framework for constitutive modeling with focus on material non-linearities, i.e. plasticity and damage is defined. The ability of the geometric and constitutive models to predict the deformation and failure behavior is demonstrated by means of selected examples.