scholarly journals An Improved Curvature Circle Algorithm for Orthogonal Projection onto a Planar Algebraic Curve

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 912 ◽  
Author(s):  
Zhinan Wu ◽  
Xiaowu Li

Point orthogonal projection onto planar algebraic curve plays an important role in computer graphics, computer aided design, computer aided geometric design and other fields. For the case where the test point p is very far from the planar algebraic curve, we propose an improved curvature circle algorithm to find the footpoint. Concretely, the first step is to repeatedly iterate algorithm (the Newton’s steepest gradient descent method) until the iterated point could fall on the planar algebraic curve. Then seek footpoint by using the algorithm (computing footpoint q ) where the core technology is the curvature circle method. And the next step is to orthogonally project the footpoint q onto the planar algebraic curve by using the algorithm (the hybrid tangent vertical foot algorithm). Repeatedly run the algorithm (computing footpoint q ) and the algorithm (the hybrid tangent vertical foot algorithm) until the distance between the current footpoint and the previous footpoint is near 0. Furthermore, we propose Second Remedial Algorithm based on Comprehensive Algorithm B. In particular, its robustness is greatly improved than that of Comprehensive Algorithm B and it achieves our expected result. Numerical examples demonstrate that Second Remedial Algorithm could converge accurately and efficiently no matter how far the test point is from the plane algebraic curve and where the initial iteration point is.

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 317
Author(s):  
Taixia Cheng ◽  
Zhinan Wu ◽  
Xiaowu Li ◽  
Chan Wang

Point orthogonal projection onto a spatial algebraic curve plays an important role in computer graphics, computer-aided geometric design, etc. We propose an algorithm for point orthogonal projection onto a spatial algebraic curve based on Newton’s steepest gradient descent method and geometric correction method. The purpose of Algorithm 1 in the first step of Algorithm 4 is to let the initial iteration point fall on the spatial algebraic curve completely and successfully. On the basis of ensuring that the iteration point fallen on the spatial algebraic curve, the purpose of the intermediate for loop body including Step 2 and Step 3 is to let the iteration point gradually approach the orthogonal projection point (the closest point) such that the distance between them is very small. Algorithm 3 in the fourth step plays an important double acceleration and orthogonalization role. Numerical example shows that our algorithm is very robust and efficient which it achieves the expected and ideal result.


2020 ◽  
pp. 321-331
Author(s):  
Divya Zindani ◽  
Kaushik Kumar

The chapter proposes an integrated manufacturing system consisting of three main components: digital prototyping, physical prototyping, and lost core technology. The integrated system combines the beneficial aspects of computer-aided design, computer-aided engineering, rapid prototyping, and rapid tooling. The proposed integrated system is an attempt to compress the product development time while saving cost. The system can be efficient in designing of mold, parts with complex ducts and cavities, and carrying out design analysis through optimization and simulations. The system is therefore an attempt to minimize the waste of material that occurs in the development of a product and is therefore an efficient green technology for the manufacturing industries.


Author(s):  
Divya Zindani ◽  
Kaushik Kumar

The chapter proposes an integrated manufacturing system consisting of three main components: digital prototyping, physical prototyping, and lost core technology. The integrated system combines the beneficial aspects of computer-aided design, computer-aided engineering, rapid prototyping, and rapid tooling. The proposed integrated system is an attempt to compress the product development time while saving cost. The system can be efficient in designing of mold, parts with complex ducts and cavities, and carrying out design analysis through optimization and simulations. The system is therefore an attempt to minimize the waste of material that occurs in the development of a product and is therefore an efficient green technology for the manufacturing industries.


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