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Overview of Material Processing Automation |
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1 | (19) |
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Constrained and Non-Constrained Material Processing |
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1 | (1) |
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Multi-Facet Mechatronic Automation |
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2 | (2) |
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Sensors for Material Processing |
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4 | (6) |
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Measurands in Material Processing |
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4 | (3) |
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7 | (1) |
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Microsensors and Soft Sensors |
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8 | (2) |
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Intelligent Control Techniques |
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10 | (9) |
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Conventional Computer Numerical Control |
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10 | (2) |
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Sensor Based Machine Tool Control |
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12 | (1) |
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Open Architecture and Distributed Control |
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13 | (2) |
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Intelligent Control and Computing Techniques |
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15 | (1) |
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16 | (1) |
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17 | (2) |
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Process Development and Approach for 3D Profile Grinding/Polishing |
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19 | (36) |
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19 | (2) |
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Profile Grinding and Polishing of Superalloys |
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21 | (8) |
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Superalloy Components and Manual Blending |
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21 | (4) |
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25 | (2) |
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27 | (2) |
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Force Control in Material Removal |
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29 | (6) |
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30 | (1) |
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31 | (4) |
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Model-Based Robotic Machining |
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35 | (2) |
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Part Variations and Process Dynamics |
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37 | (3) |
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System Concept of Adaptive Robotic Blending System |
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40 | (5) |
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40 | (1) |
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41 | (1) |
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Knowledge-Based Process Control (KBPC) |
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42 | (1) |
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Data-Driven Supervisory Control (DDSC) |
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43 | (1) |
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System Layout and Working Cycle |
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43 | (2) |
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45 | (6) |
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Grinding/Polishing Process Parameters |
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45 | (1) |
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46 | (3) |
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49 | (2) |
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51 | (4) |
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52 | (3) |
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Adaptive Robotic System for 3D Profile Grinding/Polishing |
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55 | (36) |
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55 | (2) |
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Finishing Robot and Control Interface |
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57 | (3) |
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57 | (1) |
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Self-Aligned End Effector |
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57 | (2) |
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59 | (1) |
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In-Situ Profile Measurement |
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60 | (5) |
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Off-Line versus In-Situ Approach |
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60 | (1) |
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61 | (3) |
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64 | (1) |
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Template-Based Optimal Profile Fitting |
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65 | (11) |
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65 | (2) |
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Profile Fitting Requirements |
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67 | (3) |
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A Fast Converging Minimisation Algorithm |
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70 | (3) |
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73 | (3) |
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Adaptive Robot Path Planner |
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76 | (5) |
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76 | (1) |
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Derivation of End-Effector Orientation |
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77 | (2) |
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79 | (2) |
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Implementation of SMART 3D Blending System |
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81 | (2) |
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83 | (5) |
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Dimension of Finish Profile |
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83 | (2) |
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Surface Roughness and Finish Quality |
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85 | (2) |
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87 | (1) |
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88 | (3) |
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89 | (2) |
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Acoustic Emission Sensing and Signal Processing for Machining Monitoring and Control |
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91 | (34) |
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91 | (2) |
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Sensors in Machining Process Monitoring |
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93 | (6) |
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94 | (1) |
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95 | (2) |
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Vibration/Acceleration Signals |
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97 | (1) |
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Optical and Vision System |
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98 | (1) |
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Acoustic Emission Sensing |
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99 | (8) |
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Acoustic Emission Mechanism |
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100 | (1) |
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Acoustic Emission in Machining |
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101 | (3) |
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Acoustic Emission Sensors |
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104 | (3) |
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Advanced Signal Processing Techniques |
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107 | (14) |
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109 | (3) |
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112 | (1) |
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Frequency Domain Analysis |
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113 | (1) |
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Time-Frequency Domain Analysis |
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114 | (2) |
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116 | (5) |
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121 | (4) |
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122 | (3) |
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Techniques of Automatic Weld Seam Tracking |
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125 | (42) |
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Introduction to Weld Seam Tracking |
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125 | (3) |
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The Importance of Welding |
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125 | (1) |
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125 | (2) |
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127 | (1) |
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127 | (1) |
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128 | (15) |
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Survey of Existing Methods |
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128 | (4) |
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132 | (1) |
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133 | (2) |
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135 | (1) |
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136 | (2) |
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Implementation of Seam Tracking Controller |
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138 | (1) |
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138 | (1) |
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139 | (1) |
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Plant Identification and Control |
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139 | (4) |
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Vision-Based Seam Tracking |
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143 | (21) |
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143 | (2) |
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145 | (1) |
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Measurement Range and Accuracy |
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145 | (1) |
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The Principle of Laser Triangulation |
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146 | (1) |
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Vision Based Seam Tracking Systems |
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146 | (1) |
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147 | (1) |
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148 | (1) |
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148 | (1) |
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148 | (1) |
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149 | (1) |
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149 | (1) |
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150 | (1) |
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151 | (1) |
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151 | (1) |
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152 | (1) |
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153 | (2) |
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155 | (1) |
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156 | (1) |
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Image Acquisition and Processing |
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157 | (1) |
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Structured Light Approach |
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157 | (1) |
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158 | (1) |
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159 | (1) |
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160 | (1) |
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160 | (1) |
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Seam Detection Algorithms |
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161 | (1) |
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Implementation and Experimental Results |
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162 | (1) |
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Evaluating Accuracy of Seam Tracking |
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162 | (2) |
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Evaluating the Overall Accuracy |
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164 | (1) |
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164 | (3) |
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165 | (2) |
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Weld Pool Geometry Sensing and Control in Arc Welding |
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167 | (34) |
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167 | (2) |
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Survey of Weld Pool Inspection |
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169 | (14) |
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169 | (1) |
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169 | (1) |
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169 | (2) |
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Pool Oscillation Detection |
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171 | (1) |
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172 | (1) |
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172 | (1) |
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173 | (1) |
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173 | (1) |
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Laser Array and EMAT Ultrasonic Measurement |
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174 | (3) |
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177 | (1) |
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177 | (1) |
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Infrared Sensing Technology |
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178 | (1) |
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178 | (2) |
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180 | (1) |
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Surface Depression Sensing |
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180 | (1) |
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180 | (1) |
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180 | (1) |
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181 | (1) |
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182 | (1) |
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182 | (1) |
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Weld Pool Vision and Control System |
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183 | (3) |
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Controlled Welding Process |
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183 | (1) |
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184 | (1) |
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Set-Up of Weld Pool Vision and Control System |
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184 | (2) |
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Weld Pool Geometry Extraction |
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186 | (3) |
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Real-Time Weld Pool Geometry Extraction |
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186 | (1) |
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186 | (1) |
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187 | (1) |
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Relationship between Weld Pool Dimensions and Welding Parameters |
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188 | (1) |
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189 | (5) |
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189 | (1) |
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190 | (3) |
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System Optimisation and Integration |
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193 | (1) |
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194 | (3) |
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Simulation Results of Neurofuzzy Logic Control System |
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194 | (1) |
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Closed-Loop Control of Welding Speed |
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194 | (3) |
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197 | (4) |
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197 | (4) |
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Automatic GTAW System Control and Teleoperation |
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201 | (42) |
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Introduction - The Automatic Welding of High Performance Alloys |
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201 | (1) |
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Special Considerations for Welding Titanium |
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202 | (5) |
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202 | (2) |
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Features of an Intelligent Welding System |
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204 | (2) |
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Subsystems and Components |
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206 | (1) |
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Manipulator Configuration |
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207 | (12) |
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207 | (2) |
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The Experimental and Demonstration Welding Manipulator |
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209 | (1) |
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210 | (1) |
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Assigning Coordinate Frames |
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210 | (3) |
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213 | (3) |
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216 | (1) |
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Trajectory by Decomposition of Tool Transformation Matrix |
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217 | (2) |
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219 | (8) |
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Critical Process Parameters |
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220 | (2) |
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222 | (1) |
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222 | (1) |
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223 | (2) |
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Schemes for Process Control |
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225 | (1) |
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Use of AI in Automatic Welding |
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225 | (2) |
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CNC and Low-Level Control |
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227 | (2) |
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Interactive and Tele-Operated Welding System |
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229 | (10) |
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229 | (2) |
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231 | (1) |
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Modelling of Camera Views |
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231 | (2) |
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Modelling of Solid Objects |
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233 | (1) |
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Implementation in Simulation Software |
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234 | (4) |
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Integration of Models and Welding Workpiece Images |
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238 | (1) |
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239 | (4) |
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240 | (3) |
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Laser Material Processing and Its Quality Monitoring and Control |
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243 | (54) |
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243 | (7) |
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243 | (2) |
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Applications of Laser Material Processing |
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245 | (1) |
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Automation of Laser Material Processing |
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246 | (1) |
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247 | (2) |
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249 | (1) |
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Survey of Real-Time Laser Welding Quality Monitoring |
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250 | (7) |
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251 | (1) |
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252 | (1) |
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253 | (1) |
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254 | (1) |
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Ultraviolet Spectroscopic Analysis |
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255 | (1) |
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Ultraviolet Signal Analysis |
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255 | (2) |
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Analysis of Optical and Acoustic Signals Emitted from Plasma and Sensor Design |
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257 | (7) |
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Laser-Induced Plasma During Welding of Thin Metal Sheets |
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258 | (2) |
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Optical Emission from Laser-Induced Plasma |
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260 | (1) |
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261 | (2) |
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Design of Optical and Acoustic Sensors |
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263 | (1) |
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Signal Processing through FFT and Wavelet Analysis |
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264 | (21) |
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265 | (1) |
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Frequency Characteristics of Optical and Acoustic Signals Using Magnetically Restrained Discharge Laser |
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265 | (2) |
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Frequency Characteristics of Optical and Acoustic Signals of Different Defects |
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267 | (8) |
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Wavelet Analysis of Audible Acoustic Emission Signals |
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275 | (1) |
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Wavelet Decomposition of AE Signals |
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276 | (2) |
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Results of Wavelet Analysis of AE Signal |
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278 | (2) |
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Definition and Applications of Detection Curve |
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280 | (1) |
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Definition of Detection Curve |
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280 | (1) |
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281 | (4) |
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Real-Time Monitoring of Laser Welding by ANN |
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285 | (8) |
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Structure of the Neural Network |
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285 | (1) |
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285 | (2) |
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287 | (1) |
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BP Network Parameters and Effect of Different Features |
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288 | (3) |
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Performance of the Neural Network |
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291 | (2) |
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293 | (1) |
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293 | (4) |
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294 | (3) |
Index |
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297 | |