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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2966b26ac073aedcd54bfc39b116d4b1b/iew_homepage",         
         "tags" : [
            "Iron","Magnetic_analysis","Magnetomechanical_effects","Permanent_Magnet_Machines","Permanent_Magnet_Synchronous_Machine","Stators","Three-dimensional_displays","Tongue","Topology","design_automation","finite_element_analysis","finite_element_simulation","hp_iew","overall_efficiency","semi-analytical_calculation","stator_segmentation","torque"
         ],
         
         "intraHash" : "966b26ac073aedcd54bfc39b116d4b1b",
         "interHash" : "a995872d1d76cca901572cd9b6b69238",
         "label" : "Novel Stator Topology with Adjustable Stator Tooth Tips to Reduce Partial Losses at High Speeds in a PMSM",
         "user" : "iew_homepage",
         "description" : "",
         "date" : "2025-03-10 09:03:38",
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         "count" : 2,
         "pub-type": "inproceedings",
         "booktitle": "2024 International Conference on Electrical Machines (ICEM)",
         "year": "2024", 
         "url": "", 
         
         "author": [ 
            "Maximilian Clauer","David Bauer","Nejila Parspour"
         ],
         "authors": [
         	
            	{"first" : "Maximilian",	"last" : "Clauer"},
            	{"first" : "David",	"last" : "Bauer"},
            	{"first" : "Nejila",	"last" : "Parspour"}
         ],
         "pages": "1--7","abstract": "Traction drives operate in many different states, leading to a fundamental design conflict at various operating points regarding efficiency. High magnetic flux density is desirable for high efficiency at low speeds and high torque, as losses in this state depend mainly on I2R losses. However, this results in low efficiency at high speeds and low torque, where losses primarily depend on iron losses. To address this design conflict, this work presents a novel permanent magnet synchronous machine concept with adjustable stator tooth tips. Additionally, a time-saving 2D finite element calculation of the proposed machine concept is introduced.",
         "file" : "Clauer, Bauer et al 2024 - Novel Stator Topology with Adjustable:Attachments/Clauer, Bauer et al 2024 - Novel Stator Topology with Adjustable.pdf:application/pdf",
         
         "doi" : "10.1109/ICEM60801.2024.10700142",
         
         "bibtexKey": "ClauerMaximilian.2024.NovelStatorTopologywith"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/268c2267e5ba4569fd77d18f39028ce98/timricken",         
         "tags" : [
            "Cartilage","Constitutive_modeling","Diffusion_tensor","Hyperviscoelasticity","Medical_imaging","Soft_tissues","Theory_of_porous_media","Ultrasound_imaging","finite_element_simulation","magnetic_resonance_imaging"
         ],
         
         "intraHash" : "68c2267e5ba4569fd77d18f39028ce98",
         "interHash" : "7a022b50430002a00de345fb5c8a35dc",
         "label" : "Chapter 4 - Image-Driven Constitutive Modeling for FE-Based Simulation of Soft Tissue Biomechanics",
         "user" : "timricken",
         "description" : "",
         "date" : "2019-11-06 16:19:50",
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         "pub-type": "incollection",
         "booktitle": "Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes","publisher":"Academic Press and Elsevier/AP Academic Press an imprint of Elsevier","address":"London",
         "year": "2018", 
         "url": "", 
         
         "author": [ 
            "D. M. Pierce","T. Ricken","C. P. Neu"
         ],
         "authors": [
         	
            	{"first" : "D. M.",	"last" : "Pierce"},
            	{"first" : "T.",	"last" : "Ricken"},
            	{"first" : "C. P.",	"last" : "Neu"}
         ],
         
         "editor": [ 
            "Miguel Cerrolaza","Sandra J. Shefelbine","Diego Garzón-Alvarado"
         ],
         "editors": [
         	
            	{"first" : "Miguel",	"last" : "Cerrolaza"},
            	{"first" : "Sandra J.",	"last" : "Shefelbine"},
            	{"first" : "Diego",	"last" : "Garzón-Alvarado"}
         ],
         "pages": "55--76","abstract": "Abstract\n\nBoth computational mechanics and medical imaging play an increasingly significant role in the study of biological systems at the scales of the organism, organ system, organ, tissue, cell, and molecule. Synergies among fundamental image-based experiments, new mathematical models, and computational methods enable studies of numerous phenomena and processes, e.g.,~microphysical (mechanobiological) cellular stimuli and response, structure-function relationships in tissues, surgical interventions, organ and tissue integrity, disease initiation and progression, and engineered tissue replacements. In this chapter, we explore the use of continuum modeling in a finite element framework that is suitable for the study of complex biological tissues and engineered systems. Important to this framework is the integration of continuum mechanical modeling with image-based data acquisition. Imaging can provide a noninvasive assessment of tissues and materials, allowing for the generation of data that is minimally influenced by the acquisition method, and that can guide material parameter selection, define boundary conditions or morphology, or enable precise validation studies. We present complex models and experimental approaches, using articular cartilage as a primary study system, that can be readily expanded to a broad range of soft biological tissues and engineered materials. Additionally, we discuss the use of imaging to acquire measures of geometry, morphology, diffusion, strain, and material properties.",
         "isbn" : "978-0-12-811718-7",
         
         "file" : "a8585ef9-d527-456d-83e6-08a5ac8f9d86:C\\:\\\\Users\\\\ac130180\\\\AppData\\Łocal\\\\Swiss Academic Software\\\\Citavi 6\\\\ProjectCache\\\\bkyd3fzxdr3rziq0dosvpq10u8ycyepwckx0sx\\\\Citavi Attachments\\\\a8585ef9-d527-456d-83e6-08a5ac8f9d86.pdf:pdf",
         
         "doi" : "10.1016/B978-0-12-811718-7.00004-6",
         
         "bibtexKey": "Pierce.2018"

      }
	  
   ]
}
