CashFlow, A Visualization Framework for 3D Flow - Studierstube ...

More documents

Recommendations

Info

Implementation4.6. Implementation of Data ConsumersSoLoader – File FormatThis is an example for a binary loader for CFD – data sets. This loader was used forfigure 5.12 on page 109 and figure 3.8 on page 48. The behavior of this node wasdescribed in section 4.1.1 on page 69. The fieldsgrid_AccessKey, dataAccess_AccessKey, multiData_AccessKeypoint to a SoBaseGrid node, a SoDataAccessNode and a SoMultiDataNode.SoLoaderCFD_Plot3DNode iv–file#Inventor V2.0 asciiSoLoaderCFD_Plot3DNode {fields [SoSFBool enableSwapByteOrder,SoSFBool readFile_Grid,SoSFString fileName_Grid,SoSFString grid_Key,SoSFString dataAccess_Key,SoSFString multiData_Key ]}fileName_GridreadFile_GridenableSwapByteOrdergrid_KeydataAccess_KeymultiData_Key"myCFD_dataset.grid"TRUETRUE"myGrid_from_Loader""myVirtualArray_from_Loader""myData_fromLoader"CashFlow iv–file93
Implementation4.6. Implementation of Data Consumers4.6.2 SoMapperNodeFigure 4.20: DataAccessMap: Accessing virtual array using the attributes offset, inc, length, label and datatype (not shown)SoMapperNode is one of the core parts, containing the visualization algorithms.Both of them can use several input streams and generate from one to many outputstreams This is also known as fan–in and fan–out.The process flow between mapper and renderer gets more obvious in figure 3.15 onpage 64.The basic data access introduced in the UML class hierarchy (figure 4.5 on page 71)only shows an indirect way to access data from a DataComsumer. The UML sequencediagram in the next section 4.2.1 will provide more detailed information on that.the most important representatives are:• Texture Generation• Streamline and Particle Tracer• iso–surface extractionSoMapperNode - File FormatThis sample file generates a parameterization similar to the one shown in figure 5.9and figure 5.10 on page 108. The field lookup_kind defines one of the three kinds ofmappings:0 .... constant mappingAll values in the interval are mapped to one constant output value. In our examplethe input interval 10 is [7..9] and the constant output value is 4.1 .... linear mappingAll values in the interval are mapped linear to the output value. In our examplethe input interval is [3..7). Since the output interval [6..4) decreases while theinput interval increases an inverse linear mapping is achieve.10 Definition of intervals: brackets [ ] define a closed interval while ( ) define an opened interval.94
Page 1 and 2:
D I P L O M A R B E I TCash FlowA V
Page 3 and 4:
KurzfassungDie Fusionierung von Vis
Page 5:
3.7.2 Drawback of the Virtual Array
Page 9 and 10:
Introductionis then executed using
Page 11 and 12:
Related WorkAll of these frameworks
Page 13 and 14:
Related Work2.1. Data Flow Models2.
Page 15 and 16:
Related Work2.1. Data Flow Modelspu
Page 17 and 18:
Page 19 and 20:
Page 21 and 22:
Page 23 and 24:
Related Work2.1. Data Flow ModelsTh
Page 25 and 26:
Page 27 and 28:
Related Work2.2. Flow Visualization
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Chapter 3Software Design3.1 CashFlo
Page 47 and 48:
Software Design3.1. CashFlow Visual
Page 49 and 50:
Software Design3.2. Using the Scene
Page 51 and 52:
Software Design3.3. Indirect Refere
Page 53 and 54: Software Design3.4. Using Virtual A
Page 55 and 56: Software Design3.4. Using Virtual A
Page 57 and 58: Software Design3.5. General CashFlo
Page 59 and 60: Software Design3.6. MultiData NodeT
Page 61 and 62: Software Design3.7. DataAccess Node
Page 67 and 68: Software Design3.8. Grid Nodealgori
Page 69 and 70: Software Design3.10. Render Nodes-
Page 71 and 72: Software Design3.12. User Interacti
Page 73 and 74: Chapter 4ImplementationFigure 4.1:
Page 75 and 76: Implementation4.1. Accessing Data4.
Page 77 and 78: Implementation4.1. Accessing Data4.
Page 79 and 80: Implementation4.2. UML Inheritance
Page 81 and 82: Implementation4.3. SoMultiDataNode4
Page 83 and 84: Implementation4.4. SoDataAccessNode
Page 89 and 90: Implementation4.5. Implementation o
Page 103: Implementation4.6. Implementation o
Page 109 and 110: Implementation4.7. CashFlow Class H
Page 111 and 112: Implementation4.7. CashFlow Class H
Page 113 and 114: Results5.1. Combining MultiData Nod
Page 115 and 116: Results5.1. Combining MultiData Nod
Page 117 and 118: Results5.2. CashFlow Scene Graph Ex
Page 119 and 120: Results5.2. CashFlow Scene Graph Ex
Page 121 and 122: Results5.3. Curvilinear Grid Visual
Page 123 and 124: Results5.4. Streamlines in CashFlow
Page 125 and 126: Results5.5. Grid Iterator ExamplesF
Page 127 and 128: Results5.6. Example for Parameteriz
Page 129 and 130: Results5.7. Polygonal Surfaces & Te
Page 131 and 132: Appendix AField connection &TGS Mes
Page 133 and 134: DanksagungVielen Dank an meine Schw
Page 135 and 136: 2.35 Colored Flow field topology ex
Page 137 and 138: Bibliography[3D] Java 3D. Java 3D c
Page 139 and 140: [CEI94] CEI. http://www.ceintl.com/
Page 141 and 142: [EYSK94] David S. Ebert, Roni Yagel
Page 143 and 144: [HP97] Hans - Christian Hege and Ko
Page 145 and 146: [MAY] MAYA. MAYA c○ by ALIAS c○
Page 147 and 148: [RBHC91] B. Lucas R. B. Haber and N
Page 149 and 150: [Tog02] Together. Borland R○ Toge
Page 151 and 152: [WJSV92] G. D. Montanaro William J.
Page 153 and 154: network, 39OpenDX, 15sink, 13source
Page 155:
flow field, 19transfer function, 6t
show all

CashFlow, A Visualization Framework for 3D Flow - Studierstube ...

Create successful ePaper yourself

Delete template?

Save as template?