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The fusion of domain knowledge and probabilistic models in the form of hybrid models allows an efficient optimization of these processes with machine learning. This can be a key technology to realize self-learning laser-based universal machines in the future. The article discusses some examples where algorithm-based optimization, partly supported by hybrid models, can already greatly reduce the effort required to find suitable process parameters.", "doi" : "10.1117/12.2653604", "bibtexKey": "Michalowski.2023.Advanced" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2de280fb7196c80cd2941310502806122/iew_homepage", "tags" : [ "Axial_flux_machine","Iron","Magnetic_Losses","Magnetic_cores","Magnetic_properties","Perpendicular_magnetic_anisotropy","Soft_magnetic_materials","Stator_cores","Steel","Steel_Sheet_Package","Tooth_Tip","Torque_measurement","hp_iew","optimization","torque" ], "intraHash" : "de280fb7196c80cd2941310502806122", "interHash" : "83022d6a799498bca333f5ca5d47382c", "label" : "Investigation on the Steel Sheet Subdivision and Orientation Potentials of an Axial Flux Machine", "user" : "iew_homepage", "description" : "", "date" : "2026-04-17 09:49:16", "changeDate" : "2026-04-17 09:49:16", "count" : 1, "pub-type": "inproceedings", "booktitle": "2025 Joint MMM-Intermag Conference (INTERMAG)", "year": "2025", "url": "", "author": [ "Steffen Weigel","Adrian Schäfer","Nejila Parspour" ], "authors": [ {"first" : "Steffen", "last" : "Weigel"}, {"first" : "Adrian", "last" : "Schäfer"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "1--5","abstract": "A double-sided axial flux machine with a yokeless and segmented armature (YASA) can be manufactured with soft magnetic composite materials (SMC) or different configurations of steel sheet packages for the guidance of magnetic flux in three dimensions. However, these approaches exhibit disadvantages regarding magnetic properties or geometric freedom. Therefore, a novel approach to set up the soft magnetic stator core is simulatively investigated. Instead of constructing the core segments from a continuous sheet metal package, it is to be constructed from several differently oriented sheet metal packages. To evaluate the theoretical potential of this approach the subdivisions and directions of the steel sheets in the tooth tip of the stator are varied and the influences on the torque and the iron losses of the machine are investigated by numerical magnetic field simulation. For the simulation each steel sheet package is modelled as a homogenized region with anisotropic material properties and the iron losses are computed in post processing using Bertotti parameters and considering alternating, rotational magnetization as well as the DC offset of the magnetic flux density. A genetic multi objective algorithm is used to find the Pareto front of the two objectives (torque and iron losses). Moreover, the torque ripple of the final Pareto front is computed and analyzed, showing a configuration with a minimum of torque ripple. In addition to that several tooth tip concepts on the Pareto front are discussed. In general, the tooth tip concepts with many horizontal steel sheet segments at the considered speed have advantages regarding both optimization goals. The stacking factor of the steel sheet package has a strong influence on the ability to guide the magnetic flux of each configuration.", "file" : "Weigel, Schäfer et al 2025 - Investigation on the Steel Sheet:Attachments/Weigel, Schäfer et al 2025 - Investigation on the Steel Sheet.pdf:application/pdf", "doi" : "10.1109/INTERMAG49787.2025.11087789", "bibtexKey": "WeigelSteffen.2025.InvestigationontheSteel" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/212b1bf1a3f2309bd0a79a04adff1e1ce/michaelhaas", "tags" : [ "Aluminum","BayesianOptimization","Optimization","Welding","X-ray","myown","peer" ], "intraHash" : "12b1bf1a3f2309bd0a79a04adff1e1ce", "interHash" : "8306d0818308eb273c5e8b7e216c83de", "label" : "Efficient parameter selection in laser welding via Bayesian optimization", "user" : "michaelhaas", "description" : "", "date" : "2026-04-10 15:59:18", "changeDate" : "2026-04-10 15:59:18", "count" : 2, "pub-type": "article", "journal": "Journal of Intelligent Manufacturing", "year": "2026", "url": "https://doi.org/10.1007/s10845-026-02799-2", "author": [ "Michael Haas","Robert Steinhoff","John Powell","Felix Zaiß","Johannes Wahl","Christian Hagenlocher","Andreas Michalowski" ], "authors": [ {"first" : "Michael", "last" : "Haas"}, {"first" : "Robert", "last" : "Steinhoff"}, {"first" : "John", "last" : "Powell"}, {"first" : "Felix", "last" : "Zaiß"}, {"first" : "Johannes", "last" : "Wahl"}, {"first" : "Christian", "last" : "Hagenlocher"}, {"first" : "Andreas", "last" : "Michalowski"} ], "abstract": "Identifying suitable process parameters is essential for developing effective laser welding processes. Traditionally, this involves extensive experimentation and relies heavily on expert knowledge. Bayesian optimization can be used to minimize both the experimental effort and the need for expert information. This study demonstrates the merit of Bayesian optimization for laser welding and explains the methodology for implementing the optimization technique. A strategy for selecting evaluation methods and the design of a suitable cost function to meet specific quality criteria is proposed. For the experimental demonstration, butt joint laser welding of AA1050 aluminum alloy was performed with options to adapt the laser power, welding speed, focus position, and the intensity distribution of the laser beam by changing the power distribution in a multi-core fiber. The success of the optimization was validated by finding several parameter sets producing welds that met the defined quality levels. Furthermore, the properties of the underlying surrogate model of the Bayesian optimizer generated further information that helped to improve the welding process.", "issn" : "1572-8145", "doi" : "10.1007/s10845-026-02799-2", "bibtexKey": "Haas.2026.Efficient" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/212b1bf1a3f2309bd0a79a04adff1e1ce/ifsw", "tags" : [ "myown","Welding","peer","Aluminum","BayesianOptimization","X-ray","Optimization" ], "intraHash" : "12b1bf1a3f2309bd0a79a04adff1e1ce", "interHash" : "8306d0818308eb273c5e8b7e216c83de", "label" : "Efficient parameter selection in laser welding via Bayesian optimization", "user" : "ifsw", "description" : "", "date" : "2026-04-10 15:59:18", "changeDate" : "2026-04-10 15:59:18", "count" : 2, "pub-type": "article", "journal": "Journal of Intelligent Manufacturing", "year": "2026", "url": "https://doi.org/10.1007/s10845-026-02799-2", "author": [ "Michael Haas","Robert Steinhoff","John Powell","Felix Zaiß","Johannes Wahl","Christian Hagenlocher","Andreas Michalowski" ], "authors": [ {"first" : "Michael", "last" : "Haas"}, {"first" : "Robert", "last" : "Steinhoff"}, {"first" : "John", "last" : "Powell"}, {"first" : "Felix", "last" : "Zaiß"}, {"first" : "Johannes", "last" : "Wahl"}, {"first" : "Christian", "last" : "Hagenlocher"}, {"first" : "Andreas", "last" : "Michalowski"} ], "abstract": "Identifying suitable process parameters is essential for developing effective laser welding processes. Traditionally, this involves extensive experimentation and relies heavily on expert knowledge. Bayesian optimization can be used to minimize both the experimental effort and the need for expert information. This study demonstrates the merit of Bayesian optimization for laser welding and explains the methodology for implementing the optimization technique. A strategy for selecting evaluation methods and the design of a suitable cost function to meet specific quality criteria is proposed. For the experimental demonstration, butt joint laser welding of AA1050 aluminum alloy was performed with options to adapt the laser power, welding speed, focus position, and the intensity distribution of the laser beam by changing the power distribution in a multi-core fiber. The success of the optimization was validated by finding several parameter sets producing welds that met the defined quality levels. Furthermore, the properties of the underlying surrogate model of the Bayesian optimizer generated further information that helped to improve the welding process.", "issn" : "1572-8145", "doi" : "10.1007/s10845-026-02799-2", "bibtexKey": "Haas.2026.Efficient" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2c43758cb2d9e4a1cff8d60d99c7aa438/ifr", "tags" : [ "optimization","ifr","guidance" ], "intraHash" : "c43758cb2d9e4a1cff8d60d99c7aa438", "interHash" : "d64de24bc320015a677f642b0be1a763", "label" : "SADYCOS", "user" : "ifr", "description" : "", "date" : "2026-02-04 11:49:35", "changeDate" : "2026-02-04 11:49:35", "count" : 3, "pub-type": "misc", "publisher":"Zenodo", "year": "2025", "url": "https://zenodo.org/doi/10.5281/zenodo.14918034", "author": [ "Friedrich Tuttas","Fabian Geyer","Paul Jannik Haufe","Torbjørn Cunis","Walter Fichter" ], "authors": [ {"first" : "Friedrich", "last" : "Tuttas"}, {"first" : "Fabian", "last" : "Geyer"}, {"first" : "Paul Jannik", "last" : "Haufe"}, {"first" : "Torbjørn", "last" : "Cunis"}, {"first" : "Walter", "last" : "Fichter"} ], "copyright" : "BSD 3-Clause \"New\" or \"Revised\" License", "doi" : "10.5281/ZENODO.14918034", "bibtexKey": "https://doi.org/10.5281/zenodo.14918034" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/27a52728b7b6fadb2366196907c6dc09c/annettegugel", "tags" : [ "Probabilistic","analysis","and","charging","consideration","electric","flexibility","management","of","optimization","stochastic","uncertainties","under","vehicles","with" ], "intraHash" : "7a52728b7b6fadb2366196907c6dc09c", "interHash" : "c44fddbd32ca57c6a980700261ebe87e", "label" : "Probabilistic charging management of electric vehicles with stochastic optimization and flexibility analysis under consideration of uncertainties", "user" : "annettegugel", "description" : "", "date" : "2025-12-16 16:06:45", "changeDate" : "2025-12-16 16:06:45", "count" : 1, "pub-type": "conference", "year": "2025", "url": "", "author": [ "Kevin Kratz","L. Bitterolf","J. Kartenberg","Krzysztof Rudion","M. Kreimeier" ], "authors": [ {"first" : "Kevin", "last" : "Kratz"}, {"first" : "L.", "last" : "Bitterolf"}, {"first" : "J.", "last" : "Kartenberg"}, {"first" : "Krzysztof", "last" : "Rudion"}, {"first" : "M.", "last" : "Kreimeier"} ], "pages": "2933-2937", "eventtitle" : "28th Conference and Exhibition on Electricity Distribution - CIRED", "venue" : "Geneva, Switzerland", "eventdate" : "June 16-19", "bibtexKey": "kratz2025probabilistic" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/203580c2bb1a7b36b30f1df0a551243d8/amichalowski", "tags" : [ "automation","drilling","micromaterialprocessing","myown","optimization" ], "intraHash" : "03580c2bb1a7b36b30f1df0a551243d8", "interHash" : "386e80c8dd91a5a79814728d17c38797", "label" : "Automated image-based parameter optimization for single-pulse laser drilling", "user" : "amichalowski", "description" : "", "date" : "2025-12-10 11:13:23", "changeDate" : "2025-12-10 11:13:23", "count" : 4, "pub-type": "inproceedings", "booktitle": "Forum Bildverarbeitung 2024 = Image Pocessing Forum 2024","publisher":"KIT Scientific Publishing", "year": "2024", "url": "http://dx.doi.org/10.58895/ksp/1000174496-1", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "pages": "1\u201312", "doi" : "10.58895/ksp/1000174496-1", "bibtexKey": "Klaiber_2024" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/203580c2bb1a7b36b30f1df0a551243d8/ifsw", "tags" : [ "myown","automation","optimization","micromaterialprocessing","drilling" ], "intraHash" : "03580c2bb1a7b36b30f1df0a551243d8", "interHash" : "386e80c8dd91a5a79814728d17c38797", "label" : "Automated image-based parameter optimization for single-pulse laser drilling", "user" : "ifsw", "description" : "", "date" : "2025-12-10 11:13:23", "changeDate" : "2025-12-10 11:13:23", "count" : 4, "pub-type": "inproceedings", "booktitle": "Forum Bildverarbeitung 2024 = Image Pocessing Forum 2024","publisher":"KIT Scientific Publishing", "year": "2024", "url": "http://dx.doi.org/10.58895/ksp/1000174496-1", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "pages": "1\u201312", "doi" : "10.58895/ksp/1000174496-1", "bibtexKey": "Klaiber_2024" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/29f8f8302db3350f2b3ae025cd610e15a/iew_homepage", "tags" : [ "Control_Strategy","Couplings","EESM","Harmonic_analysis","Iron","Iron_Loss","Mathematical_models","Maximum_Efficiency","PWM_Losses","Pulse_width_modulation","Software_packages","Synchronous_Machines","Velocity_control","Voltage_source_inverters","hp_iew","optimization" ], "intraHash" : "9f8f8302db3350f2b3ae025cd610e15a", "interHash" : "3e9c2dca0c37f9be045a9053237a30ff", "label" : "PWM Loss Analysis in Electrically Excited Synchronous Machines: Implications for Loss-Optimal Operation", "user" : "iew_homepage", "description" : "", "date" : "2025-07-21 13:11:25", "changeDate" : "2025-07-21 13:11:25", "count" : 2, "pub-type": "inproceedings", "booktitle": "2025 IEEE International Electric Machines & Drives Conference (IEMDC)", "year": "2025", "url": "", "author": [ "Felix Burkard","Andreas Gneiting","Nejila Parspour" ], "authors": [ {"first" : "Felix", "last" : "Burkard"}, {"first" : "Andreas", "last" : "Gneiting"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "697--702","abstract": "This paper investigates the problem of additional PWM losses in electrically excited synchronous machines caused by current harmonics during operation with a voltage source inverter. The behavior of the current harmonics over the entire operating map and the resulting additional losses are investigated. The PWM-induced losses are determined using a combination of transient FEA simulations, a Simulink model to generate the harmonic current waveforms and an optimization routine to establish the operating strategy in Matlab. By comparing the losses of the distorted current waveforms and the ideal, sinusoidal current waveforms, the additional iron losses caused by the PWM can be calculated. These PWM-induced iron losses are particularly significant at high rotational speeds and under operating conditions where the excitation axis flux linkage is reduced, such as in partial load operation. A slight improvement in overall efficiency can be achieved by adapting the control strategy, in particular by specifically increasing the excitation current in critical areas which leads to a better overall efficiency of the machine.", "file" : "Burkard, Gneiting et al 2025 - PWM Loss Analysis in Electrically:Attachments/Burkard, Gneiting et al 2025 - PWM Loss Analysis in Electrically.pdf:application/pdf", "doi" : "10.1109/IEMDC60492.2025.11061020", "bibtexKey": "BurkardFelix.2025.PWMLossAnalysisin" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/22710c0f3a483f465a17da9bfd032a025/iew_homepage", "tags" : [ "Analytical_Analysis","Copper","Costs","Faces","Ferrites","Q-factor","Rectifiers","Space_vehicles","Wireless_Power_Transfer","Wireless_communication","dual_active_bridge","hp_iew","optimization" ], "intraHash" : "2710c0f3a483f465a17da9bfd032a025", "interHash" : "86c0139e527786b7764cecb24da56b6f", "label" : "Design Considerations and Effects of Different Quality Factors of the Secondary Pad on Efficiency in Wireless Power Transfer Systems", "user" : "iew_homepage", "description" : "", "date" : "2025-07-21 13:11:25", "changeDate" : "2025-07-21 13:11:25", "count" : 2, "pub-type": "inproceedings", "booktitle": "2025 IEEE Wireless Power Technology Conference and Expo (WPTCE)", "year": "2025", "url": "", "author": [ "Daniel Fritz","Lukas Elbracht","Nejila Parspour" ], "authors": [ {"first" : "Daniel", "last" : "Fritz"}, {"first" : "Lukas", "last" : "Elbracht"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "1--6","abstract": "Manufacturers face the challenge of designing efficient wireless power transfer (WPT) pads tailored to a wide range of vehicles, each with unique space constraints for accommodating the pad. Ferrite, as a flux guidance, copper as a conductor, and aluminum for shielding are the main components of a WPT pad. However, these materials are crucial for enhancing system efficiency by reducing losses and optimizing power transfer. Nevertheless, they are also cost drivers. The aim of this paper is to investigate the effects on the efficiency of an LCC-LCC compensated WPT system with an active rectifier, for different quality factors of the secondary pad (vehicle pad). An analytical analysis and a simulation based optimization are carried out to determine the effects on the efficiency of various quality factors of the secondary pad. Both the analytical solution and the optimization is conducted for a primary pad that adheres to the SAE J2954 universal ground assembly (UGA) WPT3/Z3 specifications.", "file" : "Fritz, Elbracht et al 2025 - Design Considerations and Effects:Attachments/Fritz, Elbracht et al 2025 - Design Considerations and Effects.pdf:application/pdf", "doi" : "10.1109/WPTCE62521.2025.11062257", "bibtexKey": "FritzDaniel.2025.DesignConsiderationsandEffects" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a33c7743290967c3eb0a46776329c760/iew_homepage", "tags" : [ "Adaptation_models","Coils","Genetics","Geometry","Guidelines","Implants","Inductive_Power_Transmission","Numerical_models","Wireless_communication","bioheat_transfer","hp_iew","multi-objective_optimization","optimization","transcutaneous_energy_transfer" ], "intraHash" : "a33c7743290967c3eb0a46776329c760", "interHash" : "77e0372647597178b50681825268710f", "label" : "Multi-Objective Optimization and Thermal Modeling of Coil Systems for Transcutaneous Inductive Energy Transfer", "user" : "iew_homepage", "description" : "", "date" : "2025-07-21 13:11:25", "changeDate" : "2025-07-21 13:11:25", "count" : 2, "pub-type": "inproceedings", "booktitle": "2025 IEEE Wireless Power Technology Conference and Expo (WPTCE)", "year": "2025", "url": "", "author": [ "Fides Lucia Faber","Nejila Parspour" ], "authors": [ {"first" : "Fides Lucia", "last" : "Faber"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "1--6","abstract": "Mechanical cardiovascular assist devices are used in case of severe heart failure. They are supplied via a cable led through the abdominal wall. That comes along with a high infection risk. To reduce the latter, a transcutaneous inductive energy transfer path is a promising solution. For its design, numerous aspects have to be considered, including high efficiency, adaptation to anatomy and to installation space, and compliance with maximum temperature limits. In this paper, a 2D rotationally symmetric numeric simulation model of a coil system with human body tissue layers as ambient conditions is presented. The model is electromagnetically and thermally coupled. It is used in a genetic multi-objective optimization procedure to identify coil systems that comply with valid guidelines. The coil geometry is optimized regarding its local maximum temperature on the implant surface contacting human body tissue and small secondary coil diameters. A power of 17 W is transferred at a frequency of 500 kHz. Coil systems can be found that comply with the given restriction values.", "file" : "Faber, Parspour 2025 - Multi-Objective Optimization and Thermal Modeling:Attachments/Faber, Parspour 2025 - Multi-Objective Optimization and Thermal Modeling.pdf:application/pdf", "doi" : "10.1109/WPTCE62521.2025.11062180", "bibtexKey": "FaberFides.2025.MultiObjectiveOptimizationandThermal" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/20d9e4f97e9687f82660bcd471d24e67a/iew_homepage", "tags" : [ "Computational_modeling","Convolution","Convolutional_neural_networks","Kernel","Kriging","Mathematical_models","Neurons","Synchronous_Reluctance_Machine","Topology","Training","convolutional_neural_network","data-driven_surrogate_model","drive_cycle_optimization","fully_connected_deep_neural_network","hp_iew","operating_point_dependent_optimization","optimization","support_vector_regression","torque" ], "intraHash" : "0d9e4f97e9687f82660bcd471d24e67a", "interHash" : "9d6e9b793abf92ce931d18c2b3cbde40", "label" : "Comparative Study of Different Data-Driven Surrogate Models for Optimization of Synchronous Reluctance Machine", "user" : "iew_homepage", "description" : "", "date" : "2025-07-21 13:10:51", "changeDate" : "2025-07-21 13:10:51", "count" : 1, "pub-type": "article", "journal": "IEEE Transactions on Industry Applications", "year": "2025", "url": "", "author": [ "Yuancong Gong","Andreas Gneiting","Chongshen Zhao","Nejila Parspour","Hao Chen" ], "authors": [ {"first" : "Yuancong", "last" : "Gong"}, {"first" : "Andreas", "last" : "Gneiting"}, {"first" : "Chongshen", "last" : "Zhao"}, {"first" : "Nejila", "last" : "Parspour"}, {"first" : "Hao", "last" : "Chen"} ], "pages": "1--13","abstract": "The optimization of synchronous reluctance machine (SynRM) involves multi-physical considerations and highdimensional input parameters, making it highly time-consuming, especially in drive cycle optimization. To accelerate the design optimization process of SynRM, this study focuses on constructing and comparing four data-driven surrogate models in both operating point dependent optimization and drive cycle optimization. The models compared include Kriging, support vector regression (SVR), fully connected deep neural network (FC-DNN), and convolutional neural network (CNN) models. Through analysis, it is found that the mechanical safety factor, torque ripple and efficiency of SynRM are highly sensitive to geometry variations and difficult to predict. Thus, a hybrid optimization strategy assisted by finite-element-analysis (FEA) is proposed. The results from both operating point-dependent and drive cycle optimization confirm that the proposed hybrid optimization strategy is able to achieve superior optimal designs with only a minimal number of FEA simulations. Moreover, the computation time is reduced by 47\\% and 44.3\\% for operating point-dependent and drive cycle optimization, respectively (using Kriging model). Additionally, among the four surrogate models, the Kriging model is found to be the most capable model for the parameter optimization in terms of both model construction expenses and optimization results", "file" : "Comparative\\_Study\\_of\\_Different\\_Data-Driven\\_Surrogate\\_Models\\_for\\_Optimization\\_of\\_Synchronous\\_Reluctance\\_Machine:Attachments/Comparative\\_Study\\_of\\_Different\\_Data-Driven\\_Surrogate\\_Models\\_for\\_Optimization\\_of\\_Synchronous\\_Reluctance\\_Machine.pdf:application/pdf", "issn" : "0093-9994", "doi" : "10.1109/TIA.2025.3587180", "bibtexKey": "GongYuancong.2025.ComparativeStudyofDifferent" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/228f5677313802c92ea122c1188318cca/lukasschneller", "tags" : [ "Bayesian","drilling","myown","optimization","peer" ], "intraHash" : "28f5677313802c92ea122c1188318cca", "interHash" : "5c56a8412421ac973e33a18ea85fdc68", "label" : "Bayesian optimization of single-pulse laser drilling using advanced image processing", "user" : "lukasschneller", "description" : "", "date" : "2025-06-30 12:50:55", "changeDate" : "2025-06-30 12:50:55", "count" : 3, "pub-type": "article", "journal": "tm - Technisches Messen","publisher":"Walter de Gruyter GmbH", "year": "2025", "url": "http://dx.doi.org/10.1515/teme-2025-0012", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Michael Haas","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Michael", "last" : "Haas"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "issn" : "2196-7113", "doi" : "10.1515/teme-2025-0012", "bibtexKey": "Klaiber_2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/228f5677313802c92ea122c1188318cca/ifsw", "tags" : [ "myown","Bayesian","optimization","peer","drilling" ], "intraHash" : "28f5677313802c92ea122c1188318cca", "interHash" : "5c56a8412421ac973e33a18ea85fdc68", "label" : "Bayesian optimization of single-pulse laser drilling using advanced image processing", "user" : "ifsw", "description" : "", "date" : "2025-06-30 12:50:55", "changeDate" : "2025-06-30 12:50:55", "count" : 3, "pub-type": "article", "journal": "tm - Technisches Messen","publisher":"Walter de Gruyter GmbH", "year": "2025", "url": "http://dx.doi.org/10.1515/teme-2025-0012", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Michael Haas","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Michael", "last" : "Haas"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "issn" : "2196-7113", "doi" : "10.1515/teme-2025-0012", "bibtexKey": "Klaiber_2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/291c921df89b4b8096e0bb739ecc9f9ee/ipappwiedmann", "tags" : [ "Adsorption","Based","Buildings","Cooling","Facade","High-rise","Integrated","Lightweight","Operation","Optimization","Solar","System","a","for","of" ], "intraHash" : "91c921df89b4b8096e0bb739ecc9f9ee", "interHash" : "c8d8822568d9d7b653efc7fe058a8e67", "label" : "Operation Optimization of a Facade Integrated Adsorption Based Solar Cooling System for Lightweight High-rise Buildings", "user" : "ipappwiedmann", "description" : "", "date" : "2025-05-14 09:43:25", "changeDate" : "2025-05-26 09:48:11", "count" : 1, "pub-type": "presentation", "year": "2024", "url": "", "author": [ "Q. Li","O. Böckmann","M. Schäfer","M. Schäfer" ], "authors": [ {"first" : "Q.", "last" : "Li"}, {"first" : "O.", "last" : "Böckmann"}, {"first" : "M.", "last" : "Schäfer"}, {"first" : "M.", "last" : "Schäfer"} ], "eventtitle" : "EuroSun", "bibtexKey": "li2024operation" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2efc94bcc9073da6928ba78be4531160f/mazorn", "tags" : [ "ai","ap31","ap47","myown","optimization","peer" ], "intraHash" : "efc94bcc9073da6928ba78be4531160f", "interHash" : "d4df800633acf9c415c365667a228fe2", "label" : "Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates", "user" : "mazorn", "description" : "", "date" : "2025-05-05 11:29:03", "changeDate" : "2025-05-05 11:29:03", "count" : 4, "pub-type": "article", "journal": "Energy and Buildings","publisher":"Elsevier BV", "year": "2025", "url": "http://dx.doi.org/10.1016/j.enbuild.2025.115562", "author": [ "Max Zorn","Luisa Claus","Christian Frenzel","Thomas Wortmann" ], "authors": [ {"first" : "Max", "last" : "Zorn"}, {"first" : "Luisa", "last" : "Claus"}, {"first" : "Christian", "last" : "Frenzel"}, {"first" : "Thomas", "last" : "Wortmann"} ], "volume": "336","pages": "115562", "issn" : "0378-7788", "doi" : "10.1016/j.enbuild.2025.115562", "bibtexKey": "Zorn_2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2f456c4a9df414d0bb5850281d01ef629/petraheim", "tags" : [ "2024","architectural","biocomposites","biomat","dahy","fibre","itke","natural","optimization","profiles","pultruded","spyridonos","structural","witt" ], "intraHash" : "f456c4a9df414d0bb5850281d01ef629", "interHash" : "97a2e8451eca806baf124a89947d8a0c", "label" : "Natural Fibre Pultruded Profiles: Illustration of Optimisation Processes to Develop High-Performance Biocomposites for Architectural and Structural Applications", "user" : "petraheim", "description" : "", "date" : "2024-11-25 10:55:23", "changeDate" : "2024-11-25 10:55:23", "count" : 3, "pub-type": "article", "journal": "Composites Part C: Open Access","publisher":"Elsevier", "year": "2024", "url": "", "author": [ "Evgenia Spyridonos","Martin-Uwe Witt","Klaus Dippon","Markus Milwich","Götz T. Gresser","Hanaa Dahy" ], "authors": [ {"first" : "Evgenia", "last" : "Spyridonos"}, {"first" : "Martin-Uwe", "last" : "Witt"}, {"first" : "Klaus", "last" : "Dippon"}, {"first" : "Markus", "last" : "Milwich"}, {"first" : "Götz T.", "last" : "Gresser"}, {"first" : "Hanaa", "last" : "Dahy"} ], "volume": "14","pages": "100492","abstract": "The selection of materials in the construction industry plays a pivotal role in advancing sustainability goals. Traditional materials derived from natural resources face inherent constraints linked to geographic limitation, growth time, and geometric inconsistency and therefore recent attention has shifted towards developing novel bio-based materials. Composites, offering varying properties and geometries, are becoming increasingly popular for customising materials for specific applications. Pultrusion, a technology for manufacturing linear fibre-reinforced composites, is a well-established and reliable method. This study delves into optimising pultrusion technology, which traditionally relies on synthetic fibres, by exploring the potential of natural alternatives, specifically hemp bast fibres. Additionally, it presents a customised formulation based on a plant-based resin and additives. This formulation is tailored for pultrusion to produce high-performance biocomposites for use as load-bearing components in structural applications, with an initial focus on bending structures. The study elaborates on the material composition and performance of these newly developed natural fibre pultruded profiles, showcasing their mechanical capabilities through rigorous experimentation and testing. The results demonstrate the material's mechanical capabilities showcasing a flexural strength of 260 MPa with a bending modulus of 21 GPa and a bending radius reaching 0.5 m. While this study focuses on the material formulation tested on laboratory-scale pultrusion, the findings will be later applied in an upscaled production at an industrial level, aiming to enhance overall sustainability in the construction industry.", "language" : "eng", "doi" : "https://doi.org/10.1016/j.jcomc.2024.100492", "bibtexKey": "spyridonos2024natural" } ] }