Rapid Prototyping of Handicraft Based on Reverse Engineering

2011 ◽  
Vol 109 ◽  
pp. 451-454 ◽  
Author(s):  
Xiao Min Cheng ◽  
Zi Qing Ye ◽  
Xin Hua Yi
Keyword(s):  
Rapid Prototyping ◽  
Reverse Engineering ◽  
Three Dimensional ◽  
Rapid Prototype ◽  
Point Clouds ◽  
Data File ◽  
3D Measurement ◽  
Collection Data ◽  
3D Measurement System ◽  
Dimensional Picture

Reverse Engineering of handicrafts refers to many aspects, such as data collection, data mergence of point clouds, surfaces reconstruction, and rapid prototyping. This paper takes a handicraft horse for example. Once this horse is scanned partially by using non-contact optical 3D measurement system, we can get point clouds data, and accumulate, merge, and combine them into one data file, then build up a three-dimensional picture, and obtain STL format file after slicing. Finally, rapid prototype manufacture can be used. By using this method, handicrafts that are the same as or similar with the mock-ups can be produced.

scholarly journals An Integrated Reverse Engineering Approach for Accuracy Control of Free-Form Objects

2016 ◽  
Vol 63 (4) ◽  
pp. 647-663
Author(s):  
Vimal Kumar Pathak ◽  
Chitresh Nayak ◽  
Amit Kumar Singh ◽  
Himanshu Chaudhary
Keyword(s):  
Reverse Engineering ◽  
Three Dimensional ◽  
Fem Analysis ◽  
Point Clouds ◽  
3D Models ◽  
Digital Model ◽  
Surface Generation ◽  
Free Form ◽  
Accuracy Control ◽  
Prosthetic Socket

Abstract Computer-aided tools help in shortening and eradicating numerous repetitive tasks that reduces the gap between digital model and actual product. Use of these tools assists in realizing free-form objects such as custom fit products as described by a stringent interaction with the human body. Development of such a model presents a challenging situation for reverse engineering (RE) which is not analogous with the requirement for generating simple geometric models. Hence, an alternating way of producing more accurate three-dimensional models is proposed. For creating accurate 3D models, point clouds are processed through filtering, segmentation, mesh smoothing and surface generation. These processes help in converting the initial unorganized point data into a 3D digital model and simultaneously influence the quality of model. This study provides an optimum balance for the best accuracy obtainable with maximum allowable deviation to lessen computer handling and processing time. A realistic non trivial case study of free-form prosthetic socket is considered. The accuracy obtained for the developed model is acceptable for the use in medical applications and FEM analysis.

Modeling Design and Rapid Prototyping Manufacture of Cream Bottle Based on Handheld Laser Scanning

2015 ◽  
Vol 752-753 ◽  
pp. 1301-1306 ◽  
Author(s):  
Xing Xing Wang ◽  
Jin Dong Wei ◽  
Yi Pei ◽  
Yu Zhu ◽  
Hong Jun Ni
Keyword(s):  
Rapid Prototyping ◽  
Reverse Engineering ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Engineering Technology ◽  
Cloud Data ◽  
Improve Efficiency

Reverse Engineering (RE) and Rapid Prototyping (RP) were used for manufacturing cream bottle. Points cloud data of cream bottle was accessed by handheld laser scanner firstly. Then, points cloud data was handed by Imageware software and the three-dimensional model was formed by Solidworks software. Finally, the entity model was manufacturing by RP machine. In the research, rapid prototyping was combined with reverse engineering technology, manufacturing cycle was shorten, production requirements, improve efficiency and other advantages were met.

The Modeling Design of Plastic Ashtray Technology and Rapid Prototyping Technology Based on Reverse Engineering

2014 ◽  
Vol 889-890 ◽  
pp. 9-13
Author(s):  
Zhi Yang Li ◽  
Xiao Mei Wang ◽  
Yu Zhu ◽  
Ming Yu Huang ◽  
Hong Jun Ni
Keyword(s):  
Rapid Prototyping ◽  
Reverse Engineering ◽  
Geometric Modeling ◽  
Three Dimensional ◽  
Coordinate Measuring Machine ◽  
Production Costs ◽  
Production Cycle ◽  
Engineering Technology ◽  
Surface Data ◽  
Measuring Machine

Reverse engineering is a process of using 3D geometric modeling method to reconstruct actual objects CAD model based on these points, which is used physical digital measuring equipment to measure the three-dimensional coordinates of points on the surface of the object accurately and rapidly. Based on reverse engineering technology as the theoretical basis, the paper used three-coordinate measuring machine to measure ashtray surface data. After data was be handled, which was used to reconstruct 3D entity in Pro/E software. Last, the 3D entity of ashtray was printed out through rapid prototyping machine, which can be achieved by physical sample to rapid manufacturing of products, shortening production cycle, reducing production costs.

Calibration Algorithm for Error Screening Based on Line Structured Light

2020 ◽  
Vol 29 (07n08) ◽  
pp. 2040013
Author(s):  
Baolong Liu ◽  
Ruixia Wu ◽  
Yu Liu
Keyword(s):  
Structured Light ◽  
Three Dimensional ◽  
Small Error ◽  
Calibration Error ◽  
3D Measurement ◽  
Screening Model ◽  
Calibration Algorithm ◽  
On Line ◽  
3D Measurement System ◽  
Compensation Function

The 3D measurement system based on line-structured light uses a camera to capture laser stripes due to changing in the shape of an object, and uses the acquired pixel coordinates for 3D reconstruction. System calibration is an important step in 3D measurement. The current camera calibration algorithm research mainly focuses on improving the algorithm itself, and there is less research on the influence of external factors. This paper proposes a coplanar hybrid calibration algorithm based on the error screening model by combining the error screening model, mathematical model and neural network model. It is mainly divided into two steps. The first step is to use the radial array constraint calibration algorithm based on the error screening model to solve the camera’s internal and external parameters. The second step uses the camera internal and external parameters obtained in the first step to convert the pixel coordinates into real three-dimensional coordinates, and compares the calculated three-dimensional coordinates with the actual coordinates. Using machine learning to establish a compensation network, get a compensation function, and use the resulting 3D world coordinates to perform point cloud stitching. Experiments show that compared with the traditional calibration algorithm, the calibration algorithm has a small error and reduces the calibration error by about 6.5%.

Reverse Engineering of Artwork Teacup

2012 ◽  
Vol 490-495 ◽  
pp. 2906-2910
Author(s):  
Jun Feng ◽  
Bo Jiang
Keyword(s):  
Rapid Prototyping ◽  
Reverse Engineering ◽  
Point Cloud ◽  
Three Dimensional ◽  
Laser Scanner

Through the three-dimensional laser scanner (Non-Contact 3D Digitizer), the outline point cloud of the teacup can be obtained, and the reverse engineering such as cutting, aligning, combining, etc. is conducted to the point cloud in the software of RANGE VIEWER and RapidForm XOR, to achieve the three-dimensional diagram, which can be imported to the rapid prototyping machine, to process the teacup sample and complete the reverse engineering of teacup imitation.

scholarly journals Automatic 3D Measurement System by the Grid Illumination Type Moire Method

1991 ◽  
Vol 3 (3) ◽  
pp. 177-183
Author(s):  
Yasuhiko Arai ◽  
◽  
Shunsuke Yokozeki ◽  
Tomoharu Yamada ◽  
Keyword(s):  
Liquid Crystal ◽  
Three Dimensional ◽  
Measuring System ◽  
Measuring Instruments ◽  
3D Measurement ◽  
Fringe Order ◽  
Scanning Method ◽  
Moire Method ◽  
3D Measurement System ◽  
Moiré Topography

This paper describes an installation of the fringe scanning method into a shadow-type Moire Topography. The result is a high-precision three-dimensional measuring system and automatic fringe order measuring system using a liquid crystal plate. A description of this fullyautomatic measuring system, which does not require the user to have knowledge of measuring instruments, is also provided. This system was constructed by achieving the automation of Moire topography, which is regarded as difficult due to problems concerning the linkage of independent processes. The validity of the system is illustrated by experimental results for spheres and for planes with a difference in level.

Algorithm for finding all k-nearest neighbours in three-dimensional scattered points and its application in reverse engineering

2007 ◽  
Vol 221 (9) ◽  
pp. 1467-1472
Author(s):  
X Li ◽  
R J Cripps
Keyword(s):  
Reverse Engineering ◽  
Experimental Evidence ◽  
Case Studies ◽  
Euclidean Distance ◽  
Three Dimensional ◽  
Exact Algorithm ◽  
Point Clouds ◽  
Exact Method ◽  
Nearest Neighbours ◽  
Dirichlet Tessellations

A fast and exact algorithm for computing the k-nearest neighbours, or k-closest points in terms of Euclidean distance, for all data in three-dimensional point clouds is presented that avoids using complicated Voronoi diagrams or Dirichlet tessellations. Experimental evidence suggests that the algorithm has a timing of O(n) for most practical values of k under the condition: k < 0.05 n, where n is the number of three-dimensional points in the cloud. Case studies are presented to illustrate the robustness and efficiency of the method and a comparison is made to an existing exact method.

Non-Uniform Simplification of Point Clouds

2011 ◽  
Vol 311-313 ◽  
pp. 1806-1809
Author(s):  
Sheng Yong Chen ◽  
Qiu Guan ◽  
Lan Lan Li ◽  
Wei Huang ◽  
Li Yong Qian
Keyword(s):  
Reverse Engineering ◽  
Mechanical Design ◽  
Three Dimensional ◽  
Point Clouds ◽  
New Method ◽  
Affinity Propagation ◽  
Data Sets ◽  
Affinity Propagation Clustering ◽  
Geometrical Shapes ◽  
Original Point

For three-dimensional mechanical design and reverse engineering in manufacturing, point clouds are obtained from some scanners before they are used to generate geometrical shapes in a design. However, original point clouds are poor in quality because of noise, incomplete, and non-uniform data samples. Simplification is an important step to generate a good result prior to polygonal meshes. Usually we cannot obtain uniform points using traditional cloud simplification methods. This paper proposes a new method for non-uniform points cloud simplification (NUPCS), which is based on affinity propagation clustering. Experiments are carried out for some data sets and results show that our proposed method can deliver good simplification performances.

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