Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Global toolpath smoothing for CNC machining based on B-spline approximation with tool tip position adjustment

View through CrossRef
AbstractB-spline curve approximation is widely used for fitting linear toolpaths to improve machining quality and efficiency in CNC machining. For a high-quality smoothing method, the control of both approximation error and curve curvature needs to be considered. To reduce the maximum curve curvature while meeting the precision requirements, a B-spline approximation scheme with tool tip position adjustment is proposed in this paper. Toolpaths are first divided into several subdivisions according to the discrete curvature of each tool tip point. For subdivisions that need adjustment, tool tip positions are adjusted to minimize the maximum discrete curvature. An existed approximation method named Energy-term-incorporated Progressive and Iterative Approximation for Least Square fitting (ELSPIA) is selected and improved to fit the adjusted toolpaths and lower the chord errors. For improving the numerical stability of ELSPIA method, the way of searching appropriate foot point parameters is discussed in this paper. Deviation expansion factors of tool tip points are also defined to make the ELSPIA method suitable for fitting the adjusted toolpaths. Both simulations and experimental studies are conducted to prove that the proposed method can significantly decrease the maximum curvature of fitted B-spline curves and improve the machining efficiency without exceeding the tolerance. For example, experimental results show that for the tested butterfly and rabbit toolpaths, the proposed method can improve the machining efficiency by 2.61% and 2.37%, compared with the ELSPIA method without tool tip position adjustment.
Title: Global toolpath smoothing for CNC machining based on B-spline approximation with tool tip position adjustment
Description:
AbstractB-spline curve approximation is widely used for fitting linear toolpaths to improve machining quality and efficiency in CNC machining.
For a high-quality smoothing method, the control of both approximation error and curve curvature needs to be considered.
To reduce the maximum curve curvature while meeting the precision requirements, a B-spline approximation scheme with tool tip position adjustment is proposed in this paper.
Toolpaths are first divided into several subdivisions according to the discrete curvature of each tool tip point.
For subdivisions that need adjustment, tool tip positions are adjusted to minimize the maximum discrete curvature.
An existed approximation method named Energy-term-incorporated Progressive and Iterative Approximation for Least Square fitting (ELSPIA) is selected and improved to fit the adjusted toolpaths and lower the chord errors.
For improving the numerical stability of ELSPIA method, the way of searching appropriate foot point parameters is discussed in this paper.
Deviation expansion factors of tool tip points are also defined to make the ELSPIA method suitable for fitting the adjusted toolpaths.
Both simulations and experimental studies are conducted to prove that the proposed method can significantly decrease the maximum curvature of fitted B-spline curves and improve the machining efficiency without exceeding the tolerance.
For example, experimental results show that for the tested butterfly and rabbit toolpaths, the proposed method can improve the machining efficiency by 2.
61% and 2.
37%, compared with the ELSPIA method without tool tip position adjustment.

Related Results

Adaptive CNC machining process optimization of near- net- shaped blade based on machining error data flow control
Adaptive CNC machining process optimization of near- net- shaped blade based on machining error data flow control
Abstract Adaptive CNC machining process is one of the efficient processing methods for near- net- shaped blade, this study proposes an adaptive CNC machining proces...
Adaptive CNC Machining Process Optimization of Near- net- shaped Blade based on Machining Error data Flow Control
Adaptive CNC Machining Process Optimization of Near- net- shaped Blade based on Machining Error data Flow Control
Abstract Adaptive CNC machining process is one of the efficient processing solution for near- net- shaped blade, this study proposes an adaptive computer numerical control ...
The effects of cellulose nanocrystal and dicumyl peroxide on the crystallization kinetics of polylactic acid
The effects of cellulose nanocrystal and dicumyl peroxide on the crystallization kinetics of polylactic acid
AbstractCellulose nanocrystals (CNCs) have been blended into polylactic acid (PLA) to improve the polymer's properties. The dispersion of CNC in the matrix has a strong influence o...
MENYIASATI FASILITAS LABORATORIUM CNC BAGI SMK YANG BERKEKURANGAN FINANSIAL
MENYIASATI FASILITAS LABORATORIUM CNC BAGI SMK YANG BERKEKURANGAN FINANSIAL
Vocational secondary education (SMK) focused on how to yield a graduate with a high skill level so ready to use as an operator in the world of work (Samadhi, 2014). Therefore kebar...
The influence of CAD model continuity on accuracy and productivity of CNC machining
The influence of CAD model continuity on accuracy and productivity of CNC machining
Abstract Efficient and productive manufacturing of freeform shapes requires a suitable three-dimensional CAD model at the entrance to the CAM system. The paper deals with t...
Technological features of machining complex aerospace components using multi-axis strategies and advanced cam approaches
Technological features of machining complex aerospace components using multi-axis strategies and advanced cam approaches
The technological features of the mechanical machining of complex aerospace components, which are characterized by intricate three-dimensional geometry, thin-walled elements, deep ...
Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Smart manufacturing has been developed since the introduction of Industry 4.0. It consists of resource sharing and networking, predictive engineering, and material and data analyti...

Back to Top