A method on machining feature extraction and process simulation based on 3D model

2010 ◽  
Author(s):  
Zhang Fen ◽  
Du Peng
Keyword(s):  
Feature Extraction ◽  
Process Simulation ◽  
3D Model ◽  
Machining Feature ◽  
Simulation Based

Fracture healing process simulation based on 3D model and fuzzy logic

2016 ◽  
Vol 31 (6) ◽  
pp. 2959-2965 ◽  
Author(s):  
Monan Wang ◽  
Lei Sun ◽  
Ning Yang ◽  
Zhiyong Mao
Keyword(s):  
Fuzzy Logic ◽  
Fracture Healing ◽  
Process Simulation ◽  
3D Model ◽  
Healing Process ◽  
Simulation Based

3D Model Registration Based on Feature Extraction

2011 ◽  
Vol 299-300 ◽  
pp. 1091-1094 ◽  
Author(s):  
Jiang Zhu ◽  
Yuichi Takekuma ◽  
Tomohisa Tanaka ◽  
Yoshio Saito
Keyword(s):  
Feature Extraction ◽  
Point Cloud ◽  
3D Model ◽  
Point Cloud Data ◽  
Coordinate Systems ◽  
High Precision Measurement ◽  
Registration Method ◽  
Cloud Data ◽  
Cad System ◽  
Complicated Model

Currently, design and processing of complicated model are enabled by the progress of the CAD/CAM system. In shape measurement, high precision measurement is performed using CMM. In order to evaluate the machined part, the designed model made by CAD system the point cloud data provided by the measurement system are analyzed and compared. Usually, the designed CAD model and measured point cloud data are made in the different coordinate systems, it is necessary to register those models in the same coordinate system for evaluation. In this research, a 3D model registration method based on feature extraction and iterative closest point (ICP) algorithm is proposed. It could efficiently and accurately register two models in different coordinate systems, and effectively avoid the problem of localized solution.

From biogas to biomethane: A process simulation-based techno-economic comparison of different upgrading technologies in the Italian context

2019 ◽  
Vol 135 ◽  
pp. 663-673 ◽  
Author(s):  
Elena Barbera ◽  
Silvia Menegon ◽  
Donatella Banzato ◽  
Chiara D'Alpaos ◽  
Alberto Bertucco
Keyword(s):  
Process Simulation ◽  
Simulation Based ◽  
Italian Context ◽  
Economic Comparison

scholarly journals Marching Cubes and Histogram Pyramids for 3D Medical Visualization

2020 ◽  
Vol 6 (9) ◽  
pp. 88
Author(s):  
Porawat Visutsak
Keyword(s):  
Feature Extraction ◽  
Smooth Surface ◽  
3D Model ◽  
Good Choice ◽  
Experimental Results ◽  
Marching Cubes ◽  
Surface Rendering ◽  
Medical Visualization ◽  
Hierarchical Order ◽  
Volumetric Rendering

This paper aims to implement histogram pyramids with marching cubes method for 3D medical volumetric rendering. The histogram pyramids are used for feature extraction by segmenting the image into the hierarchical order like the pyramid shape. The histogram pyramids can decrease the number of sparse matrixes that will occur during voxel manipulation. The important feature of the histogram pyramids is the direction of segments in the image. Then this feature will be used for connecting pixels (2D) to form up voxel (3D) during marching cubes implementation. The proposed method is fast and easy to implement and it also produces a smooth result (compared to the traditional marching cubes technique). The experimental results show the time consuming for generating 3D model can be reduced by 15.59% in average. The paper also shows the comparison between the surface rendering using the traditional marching cubes and the marching cubes with histogram pyramids. Therefore, for the volumetric rendering such as 3D medical models and terrains where a large number of lookups in 3D grids are performed, this method is a particularly good choice for generating the smooth surface of 3D object.

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