scholarly journals Three Dimensional Surface Model from Laser Scanning of Proving Ground Road

2020 ◽  
Author(s):  
Pavel Ikonomov ◽  
Alamgir Choudhury
2007 ◽  
Vol 37 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Nicole A. DeVries ◽  
Esther E. Gassman ◽  
Nicole A. Kallemeyn ◽  
Kiran H. Shivanna ◽  
Vincent A. Magnotta ◽  
...  

2015 ◽  
Vol 9 (1) ◽  
pp. 152-157
Author(s):  
Cheng Jie ◽  
Chen Li

Fabric surface analysis, as part of fabric analysis, is very important for the textile manufacturing process and is traditionally based on human-labor or image processing which is a conventional automatic method. However, image quality is influenced by ambient light, background light and optical properties of the surface. In this paper, we present a three dimensional modeling techniques for the reconstruction of carbon-fiber fabric surface. Firstly, a dense and scattered points cloud is collected using 3D laser scanning system after necessary data quality analysis. Secondly, the original points cloud is preprocessed according to classification. Finally, three-dimensional fabric surface model is reconstructed using screened Poisson reconstruction algorithm. The experimental results show that the reconstructed model is acceptable.


2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Bing Hui ◽  
Mu Guo ◽  
Xiaofang Liu

To ensure that a regular milled surface texture provides good bonding without residual distress, a new specification of milling surface assessment has been established for quantitatively evaluating the milled surface quality. This research explores the possibility of using three-dimensional (3D) laser scanning technology to develop an algorithm to obtain a milled surface model that can measure evaluating indicators, milling depth and texture depth, and identify poorly milled areas. A case study was conducted by using a laser scanning vehicular system to collect 3D continuous pavement transverse profiles data in a 500 m long segment of Highway S107. The results show that the proposed method is very promising and can measure the milling depth and texture depth to effectively and quantitatively differentiate between good- (milling depth between 47 mm and 53 mm and texture depth exceeding 2 mm) and poor-quality work. Moreover, the poorly milled areas such as those with residual distress and unmilled areas that will lead to premature failure can also be identified using the proposed method. The proposed method can effectively support remilling work and ensure the quality of the overlay pavement.


2012 ◽  
Vol 426 ◽  
pp. 387-390
Author(s):  
Feng Xie ◽  
J. W. Zhao ◽  
F. Ju

The research of state-of-the-art bionics shows that teeth, claw and animal surface etc. of a lot of animals obtain perfect geometric shape and biologic-mechanical property after long evolutionary process. The paper was based on the bionic research of the incisor teeth of beaver. The point cloud of the incisor teeth was obtained by Reverse Engineering (RE) technology. And the curved surface of the incisor teeth was re-constructed by RE software to get its three-dimensional surface model. All of those research results will supply the base of bionic study to the optimization of the geometric shape and the mechanical property of cutting tools.


Author(s):  
Ma’moun Abu-Ayyad ◽  
Tapan Khilnani

This work presents a three dimensional prototype of the surface model to demonstrate the working of the controller. The three dimensional surface model is a prototype of the Injection Molding Machine (IMM), wherein the temperature of the system needs to be gradually increased to a very high temperature to melt plastics uniformly, despite the non-linear process. This process tends to be non-linear mainly due to thermal loss, heat transfer between the three cylinders and atmospheric disturbances. This paper presents a unique approach for designing a nonlinear surface model-based for controlling the temperature of multi steel cylinders in an injection molding machine. The innovation of this strategy is that the controller structure uses the nonlinear model to update the process variables at every sampling instant while the closed-loop control is executed. In this work, a new optimization routine will be used to minimize the errors between the model and process outputs. This allows the determination of the system’s variables resulting in a new set of the Proportional Integral (PI) controller parameters with every sampling instant. The most important feature of 3-dimensional surface model control strategy is that it uses the process’ variables to construct the surface model which are used in calculation of the control actions. In the meantime, this surface model is constructed offline by conducting several open-loop tests using different input signals and profiles while the measured output of the process is recorded. From these data, the main dynamic parameters of the process (process gain and time constant) are extracted to construct the surface model. Finally, the control law of the PI approach is updated every sampling instant to counteract the nonlinear effects of the system. In order to achieve a good control response for this process, an accurate model has to be developed to design a robust controller that can follow the reference trajectory and track the setpoint changes smoothly. Also, the model has to be of the adaptive form so that the controller has the ability to reject any disturbances or noisy feedback.


2012 ◽  
Vol 500 ◽  
pp. 218-225
Author(s):  
Jian Zhong Chen ◽  
Ye Hua Sheng ◽  
Yong Zhi Wang

After analyzing the characteristics of rock salt and the feasibility and importance of using underground rock salt cavern as energy stockpiles, this paper explains in detail about the principle of sonar detection technology in cavern measuring and its data organization. This paper studies the technology of three-dimensional surface topological reconstruction of underground rock salt cavern based on sonar detection data with half-edge data structure and boundary representation models. Meanwhile, by conducting validity check for constructed surface model and repair of possible defects, the paper finds correct and effective three-dimensional surface models of underground rock salt cavern, and provides effective data base for the stability analysis, creep analysis and other numerical simulations of underground rock salt cavern. This method, with important economic and social significance, can provide a scientific basis and technological support for the construction of caverns, especially for the safe and rational use of underground rock salt cavern.


Sign in / Sign up

Export Citation Format

Share Document