An efficient multipoint 5-axis tool positioning method for tensor product surfaces

2018 ◽  
Vol 97 (1-4) ◽  
pp. 279-295 ◽  
Author(s):  
Ravinder Kumar Duvedi ◽  
Sanjeev Bedi ◽  
Stephen Mann
2017 ◽  
Vol 93 (1-4) ◽  
pp. 617-622 ◽  
Author(s):  
Ravinder Kumar Duvedi ◽  
Sanjeev Bedi ◽  
Stephen Mann

2021 ◽  
Author(s):  
Sandeep Kumar Sharma ◽  
Ravinder Kumar Duvedi ◽  
Sanjeev Bedi ◽  
Stephen Mann

Abstract This paper presents an extension of multi point machining technique, called the Drop Spin and Tilt (DST) method, that spins the tool on two axes, allowing for the generation of multiple contact points at varying distances around the first point of contact. The multiple DST second points of contact were used to manually generate a toolpath with uniform spacing between the two points of contact. The original DST method used a symbolic algebra package to position the tool on a bi-quadratic surface; our extension is a numer- ical solution that allows positioning a toroidal tool on a tensor product Bezier surface. Further, we investigate the spread of possible second points of contact as the tool is spun around these two axes, demonstrating the feasability of using the method to control the machining strip width.


2009 ◽  
Vol 407-408 ◽  
pp. 292-297
Author(s):  
Dan Wang ◽  
Wu Yi Chen ◽  
Tian Li ◽  
Ru Feng Xu

A flank milling tool positioning method using a barrel cutter is proposed. An offset point is used as the first anchor point. Two rotary angles of the barrel cutter are adjusted to find the optimized tool position with the largest machining strip width. The result tool position calculated using the proposed method is gouge-free because the local interference avoidance method is integrated inside the tool positioning procedure. Error distribution beneath the barrel cutter is well estimated by virtual of the instant envelope curve of the cutter. The envelope curve is discretized into points. The distances between these points and the model surface are the machining errors beneath the cutter. The employment of the envelope curve also largely reduces the computational load of the algorithm. Finally, numerical implementation and simulation are performed to validate the feasibility of the method.


Author(s):  
Akitoshi ITAI ◽  
Arao FUNASE ◽  
Andrzej CICHOCKI ◽  
Hiroshi YASUKAWA

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