Fast 3D solid model reconstruction from orthographic views

1998 ◽  
Vol 30 (1) ◽  
pp. 63-76 ◽  
Author(s):  
Byeong-Seok Shin ◽  
Yeong Gil Shin
2020 ◽  
Vol 34 (22n24) ◽  
pp. 2040157
Author(s):  
Long Hoang

Three-dimensional (3D) CAD models are useful for applications in the areas of CAD/CAM/CAE/CAQ. A desirous trend creating this model is a 3D model reconstruction from views. With this method, geometric information can be easily entered into computers while continuing to use existing 2D drawings in modern applications. Most of the previous works used three views as the input despite many common parts represented by only two views. A reconstruction system using only two views is the subject of this work. The proposed method has been implemented and tested by an Objectarx 2015 program running on AutoCAD 2018. The resultant 3D Solid model has been evaluated for compatibility with CAM/CAQ/CNC systems.


Author(s):  
Chandresh Mehta ◽  
Thenkurussi Kesavadas

3D object construction by reverse engineering falls into two categories: surface reconstruction and solid model reconstruction. The 3D surface reconstruction techniques are intended to extract only the geometric information from the measured point cloud and are commonly used in computer graphics and computer vision, whereas the 3D solid model reconstruction techniques are expected to extract the geometric as well as the topological information from the measured point cloud and has application in the field of CAD/CAM. This paper presents a novel framework for 3D solid model reconstruction, which will enable reconstruction of a B-rep model of a physical object based on the 3D point cloud data captured from the surface of the object. In this framework, we use a magnetic position sensor for measuring the data from the surface of the object. This has numerous advantages over conventional methods of data acquisition that use laser scanner or coordinate measuring machine. For segmenting the measured point cloud data into sub-regions, a non-iterative region growing algorithm is developed and implemented. Our surface detection scheme is based on a Modified Gaussian image (MGI) of the sub-region and least-square techniques are used for fitting a surface to the points in a sub-region. The reconstructed B-Rep model is stored in an ISO 10303 (STEP) file format so that it can be imported in to standard CAD/CAM systems for future modifications or analysis.


Author(s):  
Cheng-Wei Huang ◽  
Ran-Zan Wang ◽  
Shang-Kuan Chen ◽  
Wen-Pin Fang
Keyword(s):  

Author(s):  
L. Truong-Hong ◽  
N. Nguyen ◽  
R. Lindenbergh ◽  
P. Fisk ◽  
T. Huynh

Abstract. This paper proposes a methodology to automatically extract components of an oil storage tank from terrestrial laser scanning (TLS) point clouds, and subsequently to create a three-dimensional (3D) solid model of the tank for numerical simulation. The proposed method is integrated into a smart analysis layer of a digital twin platform consisting of three main layers: (1) smart analysis, (2) data storage, and (3) visualisation and user interaction. In this proposed method, primary components of the tank were automatically extracted in a consecutive order from a shell wall to roof and floor. Voxel-based RANSAC is employed to extract voxels containing point clouds of the shell wall, while a valley-peak-valley pattern based on kernel density estimation is implemented to remove outlier points within voxels representing to the shell wall and re-extract data points within voxels adjoined to the shell wall. Moreover, octree-based region growing is employed to extract a roof and floor from remaining point clouds. An experimental showed that the proposed framework successfully extracted all primary components of the tank and created a 3D solid model of the tank automatically. Resulting point clouds of the shell wall were directly used for estimating deformation and a 3D solid model was imported into finite element analysis (FEA) software to assess the tank in terms of stress-strain. The demonstration shows that TLS point clouds can play an important role in developing the digital twin of the oil storage tank.


2015 ◽  
Vol 789-790 ◽  
pp. 873-877 ◽  
Author(s):  
Phung Xuan Lan ◽  
Hoang Vinh Sinh

This paper presents an effective rule-based method for extracting and recognizing the machining features from 3D solid model. The machining feature is automatically recognized while considering the relationship between machining feature and machining process. This proposed method is capable of recognizing not only prismatic machining features but also multi-axis machining features from many kinds of complex design features in both protrusion and depression. It also succeeds in recognizing various types of interaction in a uniform way. The capability of the proposed method is demonstrated in one specific case study.


2015 ◽  
Vol 19 ◽  
pp. 62-69 ◽  
Author(s):  
Mojtaba Zeraatkar ◽  
Khalil Khalili ◽  
Abolfazl Foorginejad
Keyword(s):  

2019 ◽  
Vol 969 ◽  
pp. 231-236
Author(s):  
Chandan Kumar ◽  
Nilamber Kumar Singh

A comparative study of three different aluminium alloys, Al2618, Al4032 and Al6061 made internal combustion engine pistons is done on their responses under mechanical and thermal loads using finite element methods. In this study, a 3D solid model of piston is created in CATIA and the simulations of the static structural analysis, steady-state thermal analysis and transient thermal analysis are carried out in ANSYS. Stress and temperature distributions on critical areas of piston are pointed out for appropriate modification in piston design. The temperature and heat flux variations with time are presented in transient thermal analysis. Taguchi method and topological optimization are applied to optimize the process parameters and to select the appropriate material for the piston.


2011 ◽  
Vol 88-89 ◽  
pp. 697-702
Author(s):  
Hong Sheng Zhao ◽  
Ya Xian Wu ◽  
Yun Zhen Wu

This paper presents a new approach to reconstructing 3D solid model from the two given 2D orthographic views based on AutoCAD, which is much more effective and high efficient for a special kind of compound object than the currently existing ways. The approach emphasizes integrated operating of AutoCAD software and basic knowledge of engineering drawing with no needs for complicated computation and 3D rich imagination and reconstruction. Using this approach, the 3D solid model can be reconstructed effectively and efficiently from the two given 2D orthographic views by several steps of simple operation on computer on the basis of judgment. The research work provides a theoretical possibility for the automatic reconstruction of 3D Solid model of such compound objects, and a simple and practical 3D solid model-reconstructing method for engineers and learners of engineering drawing.


Author(s):  
Zahed Siddique ◽  
Jiju A. Ninan

Designing family of products require analysis and evaluation of performance for the entire product family. In the past, products were mainly mass-produced hence the use of CAD/CAE was restricted to developing and analyzing individual products. Since the products offered using a platform approach include a variety of products built upon a common platform, CAD/CAE tools need to be explored further to assist in customization of products according to the customer needs. In this paper we investigate the development of a Product Family FEA (PFFEA) module that can support FEA analysis of user customized product families members. Customer specifications for family members are gathered using the internet, users are allowed to scale and change configurations of products. These specifications are then used to automatically generate 3D solid models of the product and then perform FEA to determine feasibility of the customer specified product. In this paper, development of the PFFEA module is illustrated using a family of lawn trimmer and edger. The PFFEA module uses Pro/E to generate the solid model and ANSYS as the base FEA software.


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