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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/243ebdfc4a55530b8318de4ec1df7ea95/isw-bibliothek",         
         "tags" : [
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         "label" : "Method for generating manufacturable, topology-optimized parts for Laminated Layer Manufacturing",
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         "url": "http://www.sciencedirect.com/science/article/pii/S2212827120306144", 
         
         "author": [ 
            "Nico Helfesrieder","Armin Lechler","Alexander Verl"
         ],
         "authors": [
         	
            	{"first" : "Nico",	"last" : "Helfesrieder"},
            	{"first" : "Armin",	"last" : "Lechler"},
            	{"first" : "Alexander",	"last" : "Verl"}
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         "volume": "93","pages": "38--43","abstract": "The great flexibility provided by generative manufacturing offers immense potential for the structural component optimization. However, this freedom needs to be utilized by appropriate CAx tools. In this paper, we present a novel slicing method, enabling the automatic generation of topology-optimized Laminated Layer Manufacturing (LLM) parts. With this method a part of arbitrary shape can be automatically sliced and equipped with a uniform virtual grid that is suitable for manufacturing. The optimal density distribution is then mapped onto the individual slices and locally approximated through the introduction of variably shaped cavities. By using 3D modeling techniques all LLM sheets are modeled parametrically and assembled automatically. To verify the functionality of the presented method, it is applied to two practical parts and compared with a conventional topology optimization method.",
         "issn" : "22128271",
         
         "doi" : "10.1016/j.procir.2020.04.048",
         
         "bibtexKey": "Helfesrieder.2020"

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         "label" : "A comparative overview of generative approaches for computational form-finding of bending-active tensile structures",
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            "Seiichi Suzuki Erazo","Evy Laura Maurice Slabbinck","Jan Knippers"
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            	{"first" : "Seiichi",	"last" : "Suzuki Erazo"},
            	{"first" : "Evy Laura Maurice",	"last" : "Slabbinck"},
            	{"first" : "Jan",	"last" : "Knippers"}
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         "language" : "eng",
         
         "bibtexKey": "suzukierazo2017comparative"

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            	{"first" : "Jan",	"last" : "Knippers"}
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            	{"first" : "Seiichi",	"last" : "Suzuki Erazo"},
            	{"first" : "Evy Laura Maurice",	"last" : "Slabbinck"},
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2fbeefdcaef3e4ed2ae0eb7f98113e9fe/isw-bibliothek",         
         "tags" : [
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         "label" : "Generative models for direct generation of CNC toolpaths",
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         "year": "2018", 
         "url": "https://ieeexplore.ieee.org/document/8600856/", 
         
         "author": [ 
            "Benjamin Kaiser","Akos Csiszar","Alexander Verl"
         ],
         "authors": [
         	
            	{"first" : "Benjamin",	"last" : "Kaiser"},
            	{"first" : "Akos",	"last" : "Csiszar"},
            	{"first" : "Alexander",	"last" : "Verl"}
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         "pages": "1-6","abstract": "Today, numerical controls (CNC) are the standard for the control of machine tools and industrial robots in production and enable highly flexible and efficient production, especially for frequently changing production tasks. A numerical control has discrete inputs and outputs. Within the NC channel, however, it is necessary to analytically describe curves for the calculation of the position setpoints and the jerk limitation. The resulting change between discrete and continuous description forms and the considerable restrictions in the parallelisation of the interpolation of continuous curves within the NC channel lead to a performance overhead that limits the performance of the NC channel with regard to the calculation of new position setpoints. This can lead to a drop in production speed and thus to longer production times. To solve this problem, we propose a new approach in this paper. This is based on the use of deep generative models and allows the direct generation of interpolated toolpaths without calculation of continuous curves and subsequent discretization. The generative models are being trained to create curves of certain types such as linear and parabolic curves or splines directly as discrete point sequences. This approach is very well feasible with regard to its parallelization and reduces the computing effort within the NC channel. First results with straight lines and parabolic curves show the feasibility of this new approach for the generation of CNC toolpaths.",
         "doi" : "10.1109/M2VIP.2018.8600856",
         
         "bibtexKey": "8600856"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24b50d3f6037f8c70ca033358fcc8e5f8/benjaminkaiser",         
         "tags" : [
            "Adversarial","CNC","GAN","Generative","Network"
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         "label" : "Generative models for direct generation of CNC toolpaths",
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         "author": [ 
            "Benjamin. Kaiser","Akos. Csiszar","Alexander. Verl"
         ],
         "authors": [
         	
            	{"first" : "Benjamin.",	"last" : "Kaiser"},
            	{"first" : "Akos.",	"last" : "Csiszar"},
            	{"first" : "Alexander.",	"last" : "Verl"}
         ],
         "pages": "1-6","abstract": "Today, numerical controls (CNC) are the standard for the control of machine tools and industrial robots in production and enable highly flexible and efficient production, especially for frequently changing production tasks. A numerical control has discrete inputs and outputs. Within the NC channel, however, it is necessary to analytically describe curves for the calculation of the position setpoints and the jerk limitation. The resulting change between discrete and continuous description forms and the considerable restrictions in the parallelisation of the interpolation of continuous curves within the NC channel lead to a performance overhead that limits the performance of the NC channel with regard to the calculation of new position setpoints. This can lead to a drop in production speed and thus to longer production times. To solve this problem, we propose a new approach in this paper. This is based on the use of deep generative models and allows the direct generation of interpolated toolpaths without calculation of continuous curves and subsequent discretization. The generative models are being trained to create curves of certain types such as linear and parabolic curves or splines directly as discrete point sequences. This approach is very well feasible with regard to its parallelization and reduces the computing effort within the NC channel. First results with straight lines and parabolic curves show the feasibility of this new approach for the generation of CNC toolpaths.",
         "doi" : "10.1109/M2VIP.2018.8600856",
         
         "bibtexKey": "8600856"

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            	{"first" : "Saurabh",	"last" : "Sahu"},
            	{"first" : "Rahul",	"last" : "Gupta"},
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            	{"first" : "Wael",	"last" : "AbdAlmageed"},
            	{"first" : "Carol",	"last" : "Espy-Wilson"}
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         "tags" : [
            "ISW","Machine","generative","machining,","manufacturing","micro","technique","tool,"
         ],
         
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         "interHash" : "e8ca3652b6b6b8aed1c04c8057bea23d",
         "label" : "The printed machine tool for micro machining: The printed machine tool for micro machining",
         "user" : "isw-bibliothek",
         "description" : "",
         "date" : "2016-03-03 09:53:12",
         "changeDate" : "2016-03-03 09:18:35",
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         "pub-type": "misc",
         "publisher":"Trans Tech Publications, ISBN: 978-3-03835-245-7","address":"Erlangen",
         "year": "2014", 
         "url": "", 
         
         "author": [ 
            "Christoph Batke","Karl-Heinz Wurst","Armin Lechler","Alexander Verl"
         ],
         "authors": [
         	
            	{"first" : "Christoph",	"last" : "Batke"},
            	{"first" : "Karl-Heinz",	"last" : "Wurst"},
            	{"first" : "Armin",	"last" : "Lechler"},
            	{"first" : "Alexander",	"last" : "Verl"}
         ],
         "pages": "S. 433-440--","abstract": "Machine tools for micro machining are so far not adapted to work piece sizes and process forces. They feature hardly any modularity and do not allow reconfiguration in a significant process change. One possibility to adapt machines is to produce them from plastic or composite materials through generative methods. This printed machine is a reconfigurable, monolithic module, in which drives are integrated. By a cooperative motion generation, larger workspaces can be realized while the installation spaces decrease. This gives the possibility to use alternative drive technologies, for example piezo-drives. Based on these methods, two small generatively produced machine tools are designed, using two different drive principles. The first machine tool is equipped with ball screw drives, which are cost efficient and space saving. The second machine tool uses piezo-actuators, which are very dynamic in motion generation. Further has to be examined, which tolerances and rigidities are needed at critical points and whether a generative or a conventional production is feasible.",
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         "bibtexKey": "BatkeWurstLechlerEtAl2014"

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         "tags" : [
            "Fertigungsverfahren","ISW","Werkzeugmaschine,","generative"
         ],
         
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         "label" : "Die gedruckte Werkzeugmaschine: Die gedruckte Werkzeugmaschine",
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         "year": "2013", 
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         "author": [ 
            "C. Batke","K.-H. Wurst","A. Verl"
         ],
         "authors": [
         	
            	{"first" : "C.",	"last" : "Batke"},
            	{"first" : "K.-H.",	"last" : "Wurst"},
            	{"first" : "A.",	"last" : "Verl"}
         ],
         "pages": "--","abstract": "Werkzeugmaschinen in der Mikrofertigung sind bisher nicht den Werkstückgrößenund Prozesskräften angepasst, weisen kaum Modularität auf und lassen keineRekonfiguration an eine signifikante Prozessänderung zu. Eine Möglichkeit, dieMaschine dahingehend anzupassen, besteht darin, diese aus Kunststoff oderVerbundwerkstoffen durch generative Verfahren herzustellen. Die so \u201Egedruckte\u201CMaschine selbst stellt ein rekonfigurierbares, monolithisches Modul dar, inwelches die Antriebe integriert werden.",
         "__markedentry" : "[xtl:6]",
         
         "bibtexKey": "BatkeWurstVerl2013"

      }
	  
   ]
}
