scholarly journals Research on Key Technologies of FDM 3D Printing Based on Computer Assisted 3D Reconstruction

2021 ◽  
Vol 2083 (4) ◽  
pp. 042011
Author(s):  
Zihang Gao ◽  
Nannan Zhao
Keyword(s):  
3D Printing ◽  
3D Reconstruction ◽  
Rapid Development ◽  
Computer Assisted ◽  
Core Technology ◽  
Key Technologies ◽  
Planning Algorithm ◽  
Important Position ◽  
Pretreatment Technology ◽  
Path Planning Algorithm

Abstract As a core technology in the field of high and new tech manufacturing,3D printing occupies an important position in the production process of aviation, shipbuilding, and automobiles. With the rapid development of 3D printing basic theory in recent years, how to further improve product accuracy, quality and modeling efficiency has become the current research focus in this field. Firstly, we conducted further research on the key technologies of FDM 3D printer, and combining 3D reconstruction technology with pretreatment technology. Secondly, we constructed and optimized the corresponding model layered slice and filling path planning algorithm. Thirdly, we designed a 3D suitable for rapid prototyping products printing control system. The research can provide an effective experience for the application of 3D printing technologies.

An Intelligent 3D Printing Path Planning Algorithm 3D Printing Path Planning Algorithm

2021 ◽  
Author(s):  
Huishu Yin ◽  
Shengfa Wang ◽  
Yi Wang ◽  
Fengqi Li ◽  
Linlin Tian ◽  
...  
Keyword(s):  
3D Printing ◽  
Path Planning ◽  
Planning Algorithm ◽  
Path Planning Algorithm

Study of Virtual Nasopharyngeal Navigation Based on Virtual Endoscopy Technology

2016 ◽  
Vol 28 ◽  
pp. 44-52
Author(s):  
Lei Guo ◽  
Wei Zhang ◽  
Lei Zhao ◽  
Ming Hu ◽  
Gui Zhi Xu
Keyword(s):  
Path Planning ◽  
Rapid Development ◽  
Virtual Endoscopy ◽  
Medical Image Segmentation ◽  
Mr Images ◽  
3D Image Reconstruction ◽  
Extraction Algorithm ◽  
Planning Algorithm ◽  
Center Path ◽  
Path Planning Algorithm

With the rapid development of medical imaging technology, computer graphics and visualization technologies, virtual endoscopy technology emerged. It mainly includes 2D medical image segmentation, 3D image reconstruction, path planning and virtual roaming. However, the path planning of virtual endoscopy has become one of the obstacles in this field due to the high irregularity of the nasopharyngeal anatomy structure. In this study, the nasopharynx including meatus nasi, pharyngeal canal, maxillary sinus, frontal sinus, sphenoid sinus, and ethmoid sinus is segmented and 3D reconstructed using MR images. The key technology of virtual endoscopy - center path planning algorithm is implemented based on distance transform. Also, two improved algorithms of center path planning are proposed. One is the selection algorithm of branch path and the other is the extraction algorithm for complex path based on human-computer interaction. These two improved algorithms can not only allow the traditional path planning algorithm to handle multiple branching structure but make roaming path to start at any point. Our experimental results satisfied the needs of clinical practice.

scholarly journals Human-Machine Cooperation and Path Planning for Complex Road Conditions

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guanghong Zhou
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Industrial Robot ◽  
Rapid Development ◽  
Industrial Robots ◽  
Path Optimization ◽  
Planning System ◽  
Target Point ◽  
Planning Algorithm ◽  
Path Planning Algorithm

With the rapid development of the information age, the development of industrial robots is also advancing by leaps and bounds. In the scenes of automobile, medicine, aerospace, and public service, we have fully enjoyed the convenience brought by industrial robots. However, with the continuous development of industrial robot-related concepts and technologies, human-computer interaction and cooperation have become the development trend of industrial robot. In this paper, the human-machine cooperation and path optimization of industrial robot in a complex road environment are studied and analyzed. At the theoretical modeling level, firstly, the industrial robot is modeled and obstacle avoidance is analyzed based on the kinematics of industrial robot; thus, an efficient and concise collision detection model of industrial robot is proposed. At the algorithm level, in view of the complex road conditions faced by industrial robots, this paper will study and analyze the obstacle avoidance strategy of human-computer cooperation and real-time path optimization algorithm of industrial robots. Based on the virtual target point algorithm, this paper further improves the problem that the goal of the traditional path planning algorithm cannot be fully covered, so as to propose the corresponding improved path planning algorithm of industrial robots. In the experimental part, based on the existing industrial robot system, the human-machine cooperation and path planning system proposed in this paper are designed. The experimental results show that the algorithm proposed in this paper improves the accuracy of obstacle avoidance by about 10 points and the corresponding convergence speed by about 5% compared with the traditional algorithm and the experimental effect is remarkable.

Surface functionalization – a new functional dimension added to 3D printing

2020 ◽  
Vol 8 (36) ◽  
pp. 12380-12411
Author(s):  
Pan Jiang ◽  
Zhongying Ji ◽  
Xiaolong Wang ◽  
Feng Zhou
Keyword(s):  
3D Printing ◽  
Surface Functionalization ◽  
Rapid Development ◽  
Functional Dimension

Various requirements for 3D printing raised by actual applications in different fields have provoked the rapid development of technologies together with various specific materials.

scholarly journals A new method on motion planning for mobile robots using jump point search and Bezier curves

2021 ◽  
Vol 18 (4) ◽  
pp. 172988142110192
Author(s):  
Ben Zhang ◽  
Denglin Zhu
Keyword(s):  
Motion Planning ◽  
Initial Point ◽  
Target Point ◽  
Jump Point ◽  
Bezier Curves ◽  
Bézier Curves ◽  
Front End ◽  
Planning Algorithm ◽  
Point Search ◽  
Path Planning Algorithm

Innovative applications in rapidly evolving domains such as robotic navigation and autonomous (driverless) vehicles rely on motion planning systems that meet the shortest path and obstacle avoidance requirements. This article proposes a novel path planning algorithm based on jump point search and Bezier curves. The proposed algorithm consists of two main steps. In the front end, the improved heuristic function based on distance and direction is used to reduce the cost, and the redundant turning points are trimmed. In the back end, a novel trajectory generation method based on Bezier curves and a straight line is proposed. Our experimental results indicate that the proposed algorithm provides a complete motion planning solution from the front end to the back end, which can realize an optimal trajectory from the initial point to the target point used for robot navigation.

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