Treffer: New numerical algorithms to optimize cutting operations of a five-axis milling machine

Title:
New numerical algorithms to optimize cutting operations of a five-axis milling machine
Source:
Applied scientific computing - Grid generation, approximated solutions and visualizationApplied numerical mathematics. 49(3-4):395-413
Publisher Information:
Amsterdam: Elsevier, 2004.
Publication Year:
2004
Physical Description:
print, 33 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Information Technology, Sirindhorn International Institute of Technology, Tammasat University, RANGIST Center, Pathum Thani 12121, Thailand
ISSN:
0168-9274
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.15764497
Database:
PASCAL Archive

Weitere Informationen

Optimization of cutting operations is an active area of research in CNC-based manufacturing. The limited capabilities of the CAD/CAM systems require development of a new software and new numerical methods verified by practical machining. We formulate the problem of tool-path optimization in terms of interpolation of the required part surface in the curvilinear coordinate system associated with the cutter location points. Next, we present some introductory examples to demonstrate that the concept of adaptive curvilinear grid contains almost all the basic ingredients of tool-path planning, such as: adaptation to regions of large milling errors, conventional zigzag/spiral patterns and constraints related to the scallop height. Consequently, we propose a new grid based optimization procedure characterized by adaptation to a control function which depends on the rotations required to correctly position the tool. We also consider a particular but important optimization of the rotation angles near the stationary points based on the shortest path scheme. Finally, we present an application of the algorithms to tool-path planning and demonstrate the efficiency of the proposed scheme by methodological examples verified by practical machining.