THE RESEARCH AND DEVELOPMENT OF POST-PROCESSING SYSTEM FOR CAD OF HIGH-RISING STEEL BUILDING BASED ON 3D SOLID MODEL

Author(s):  
ZHIGUO CHANG ◽  
HUIZHU YANG ◽  
QILIN ZHANG
Author(s):  
J. Li ◽  
Yangpeng Song ◽  
Ye Liu

Although machine control data can be obtained by means of converting cutter location (CL) data comprised of the tool tip coordinate and the tool axis orientation vector in the workpiece coordinate frame with postprocessor, it’s uncertain whether they can be used for 5-axis machining. Owing to the fact that most postprocessors focus on the method to derive solutions for the equations of NC data by the form-shaping function matrix and the inverse kinematics model without taking the manufacturing scene into consideration, this study has presented a new post-processing system to generate and optimize NC data more effectively by correcting and selecting optimum solution intelligently for machining based on the solid model of machine tool in simulation environment. In general, the post-processing system consists of user interface layer, data access layer and data processing layer to give expression to the characteristics of universality, practicality and adaptability. User interface layer is mainly about loading the machine model and setting the relevant parameters. Data access layer includes model library of generalized five-axis machine tool configurations, rules library of cutter location data and NC data. Data processing layer is the major research in the paper, which illustrates how to correct the inverse solutions set and select the optimization solution for actual machining. The visual interface for post-processing system written by C++ was successfully applied in the experiment on a five-axis machine tool with a C-axis behind a B-axis rotary table, which demonstrated the effectiveness of the proposed post-processing methodology in the field of manufacturing.


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):  

2004 ◽  
Author(s):  
Yibin Yang ◽  
Lilla Boroczky ◽  
Kees van Zon

2022 ◽  
Author(s):  
Prabhas Kumar Singh ◽  
Biswapati Jana ◽  
Kakali Datta

Abstract In 2020, Ashraf et al. proposed an interval type-2 fuzzy logic based block similarity calculation using color proximity relations of neighboring pixels in a steganographic scheme. Their method works well for detecting similarity, but it has drawbacks in terms of visual quality, imperceptibility, security, and robustness. Using Mamdani fuzzy logic to identify color proximity at the block level, as well as a shared secret key and post-processing system, this paper attempts to develop a robust data hiding scheme with similarity measure to ensure good visual quality, robustness, imperceptibility, and enhance the security. Further, the block color proximity is graded using an interval threshold. Accordingly, data embedding is processed in the sequence generated by the shared secret keys. In order to increase the quality and accuracy of the recovered secret message, the tampering coincidence problem is solved through a post-processing approach. The experimental analysis, steganalysis and comparisons clearly illustrate the effectiveness of the proposed scheme in terms of visual quality, structural similarity, recoverability and robustness.


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.


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