Tool-path planning for rough machining of a cavity by layer-shape analysis

1998 ◽  
Vol 14 (5) ◽  
pp. 321-329 ◽  
Author(s):  
Y. N. Hu ◽  
W. C. Tse ◽  
Y. H. Chen ◽  
Z. D. Zhou
Keyword(s):  
Path Planning ◽  
Shape Analysis ◽  
Tool Path ◽  
Tool Path Planning ◽  
Rough Machining

scholarly journals Emergent Structure Detection for Multi-Axis Machining

2010 ◽  
Author(s):  
Joseph E. Petrzelka ◽  
Matthew C. Frank
Keyword(s):  
Path Planning ◽  
Tool Path ◽  
Medial Axis ◽  
Transient State ◽  
Machining Process ◽  
Work Piece ◽  
Catastrophic Failure ◽  
Tool Path Planning ◽  
Rough Machining ◽  
Emergent Structure

This paper examines the phenomenon of emergent structures that occur in the transient stock material during multi-axis rough machining from a plurality of fixed orientations. Taking the form of thin webs and strings, emergent structures are stock material conditions that can lead to catastrophic failure during machining, even when tool path verification is successful. We begin by discussing the motivation for use of fixed orientations in multi-axis machining using multiple automated setups via rotary axes, which enables fast processing and ‘first part correct’ machining. Next, we demonstrate how unintended emergent structures occur in this paradigm of machining and can lead to catastrophic failure of the tool or work piece. Our original work focuses on the problem of geometric detection of these structures during process planning and prior to tool path planning, to the end of altogether avoiding emergent structure formation. To quickly simulate the machining process, we present an object-space method for determining the transient state of stock material based on the inverse tool offset. To identify emergent structures within this transient stock state, we propose a metric based on the medial axis transformation. Finally, we present our implementation of these methods and demonstrate realtime computation appropriate for an optimization scheme to eliminate emergent structures. Our methods provide consistent and logical results, as demonstrated with several freeform component examples. This work enables the development of robust algorithms for autonomous tool path planning and machining in multi-axis environments.

Stochastic Fractal Modeling and Process Planning for Machining Using Two-Dimensional Iterated Function System

2008 ◽  
Vol 392-394 ◽  
pp. 575-579
Author(s):  
Yu Hao Li ◽  
Jing Chun Feng ◽  
Y. Li ◽  
Yu Han Wang
Keyword(s):  
Path Planning ◽  
Tool Path ◽  
Iterated Function System ◽  
Numerical Control ◽  
Function System ◽  
Tool Path Planning ◽  
Ongoing Research ◽  
Iterated Function ◽  
Planning Algorithm ◽  
Path Planning Algorithm

Self-affine and stochastic affine transforms of R2 Iterated Function System (IFS) are investigated in this paper for manufacturing non-continuous objects in nature that exhibit fractal nature. A method for modeling and fabricating fractal bio-shapes using machining is presented. Tool path planning algorithm for numerical control machining is presented for the geometries generated by our fractal generation function. The tool path planning algorithm is implemented on a CNC machine, through executing limited number of iteration. This paper describes part of our ongoing research that attempts to break through the limitation of current CAD/CAM and CNC systems that are oriented to Euclidean geometry objects.

Researches on Burr Formation in Milling Al-Alloy

2010 ◽  
Vol 135 ◽  
pp. 164-169 ◽  
Author(s):  
Ming Chen ◽  
Bin Rong ◽  
Gang Liu
Keyword(s):  
Aluminum Alloy ◽  
Parameter Optimization ◽  
Tool Path ◽  
Burr Formation ◽  
Al Alloy ◽  
Active Process ◽  
Processing Parameter ◽  
Tool Path Planning ◽  
Rough Machining ◽  
Manufacturing Automation

Burr formation is a bottleneck of the production line and deteriorates the automation integrity. To this question, investigations were carried out in this paper on the burr formation in milling aluminum alloy (Al-alloy), in order to enhance productivity and workpiece quality by active process control. Milling burr formation were predicted and minimized for the sake of rough machining and finishing operation, using strategies of tool path planning, processing parameter optimization as well as workpiece rigidity strengthening. The conclusions reached in this paper are useful in practice to realize burr-free Al-alloy milling for manufacturing automation.

scholarly journals Optimisation of Planning Parameters for Machining Blade Electrode Micro-Fillet with Scallop Height Modelling

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 237
Author(s):  
Yue Liu ◽  
Zhanqiang Liu ◽  
Wentong Cai ◽  
Yukui Cai ◽  
Bing Wang ◽  
...  
Keyword(s):  
Path Planning ◽  
Tilt Angle ◽  
Tool Path ◽  
End Milling ◽  
Tool Path Planning ◽  
Scallop Height ◽  
Aero Engine ◽  
Tool Tilt Angle ◽  
Five Axis ◽  
Height Model

Aero-engine blades are manufactured by electroforming process with electrodes. The blade electrode is usually machined with five-axis micromilling to get required profile roughness. Tool path planning parameters, such as cutting step and tool tilt angle, have a significant effect on the profile roughness of the micro-fillet of blade electrode. In this paper, the scallop height model of blade electrode micro-fillet processed by ball-end milling cutter was proposed. Effects of cutting step and tool tilt angle the machined micro-fillet profile roughness were predicted with the proposed scallop height model. The cutting step and tool tilt angle were then optimised to ensure the contour precision of the micro-fillet shape requirement. Finally, the tool path planning was generated and the machining strategy was validated through milling experiments. It was also found that the profile roughness was deteriorated due to size effect when the cutting step decreased to a certain value.

Tool Path Planning for Five-Axis U-Pass Milling of an Impeller

2021 ◽  
Author(s):  
J.Y. Feng ◽  
Z.C. Wei ◽  
M.J. Wang ◽  
X.Q. Wang ◽  
M.L. Guo
Keyword(s):  
Path Planning ◽  
Cutting Force ◽  
Tool Path ◽  
Flank Milling ◽  
Small Range ◽  
Tool Path Planning ◽  
Point Distribution ◽  
Parameter Domain ◽  
Five Axis ◽  
Tool Axis Vector

Abstract U-pass milling is a roughing method that combines the characteristics of flank milling with conventional trochoidal milling. The tool cuts in and out steadily, and the tool–workpiece wrap angle is maintained within a small range. This method can smooth the cutting force and reduce the peak cutting force while avoiding cutting heat accumulation, which can significantly improve the processing efficiency and reduce tool wear. In this study, a tool path model is established for U-pass milling, and the characteristic parameters of the path are defined. Through a comparative test of three-axis groove milling, it is demonstrated that the peak value and average value of the cutting force are reduced by 25% and 60%, respectively. An impeller runner is considered as the processing object, and the milling boundary parameters are pretreated. A tiling micro-arc mapping algorithm is proposed, which maps the three-dimensional boundary to the two-dimensional parameter domain plane with the arc length as the coordinate axis, and the dimensionally reduced tool contact point distribution form is obtained. The geometric domain tool position point and the interference-free tool axis vector are obtained by calculating the bidirectional proportional domain of the runner and the inverse mapping of any vector in the parameter domain. Finally, the calculation results are nested into the automatically programmed tool (APT) encoding form, and the feasibility of the five-axis U-pass milling tool path planning method is verified through a numerical example.

scholarly journals Tool path planning for five-axis U-pass milling of an impeller

2021 ◽  
Author(s):  
Jingyang Feng ◽  
Zhaocheng Wei ◽  
Minjie Wang ◽  
Xueqin Wang ◽  
Minglong Guo
Keyword(s):  
Path Planning ◽  
Tool Path ◽  
Tool Path Planning ◽  
Five Axis
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