Content area

Abstract

Most of CAD/CAM systems lack fully-automated process planning capabilities and depend on semi-automatic capabilities that necessitate the traditional selection of tools and cutting parameters. This paper attempts to determine proper combinations of cutting tools through the generation of tool paths and optimisation of machining parameters using an example of the CNC milling process. Several machining simulations with different combinations of tool sizes were performed using MasterCAM software. Based on these simulations, substantial variations in tool paths were observed for different tool combinations and as such the optimum tool combination could only be obtained arbitrarily. The tool paths derived from machining simulations were used to optimise machining parameters, that is, cutting speed, feed rate and depth of cut with the objective of minimising production time. In this case, an optimisation model was developed as a nonlinear programming problem and solved using extended LINGO nonlinear software. The results show that the subjectivity when selecting cutting tools can be avoided when appropriate tools are chosen alongside with the generation of a tool path within a CAD/CAM system using optimised machining parameters. As a consequence, CNC machine tools could be effectively utilised and the productivity significantly improved at shorter production time and cost

Details

Title
Tool selection for rough and finish CNC milling operations based on tool-path generation and machining optimisation
Volume
10
Issue
1
Pages
18-26
Number of pages
9
Publication year
2015
Publication date
Mar 2015
Publisher
University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute
Place of publication
Maribor
Country of publication
Slovenia
ISSN
18546250
e-ISSN
18556531
Source type
Scholarly Journal
Language of publication
English
Document type
Feature
Document feature
Diagrams; Equations; Tables; References
ProQuest document ID
1669815912
Document URL
https://www.proquest.com/scholarly-journals/tool-selection-rough-finish-cnc-milling/docview/1669815912/se-2?accountid=208611
Copyright
Copyright University of Maribor, Faculty of Mechanical Engineering, Production Engineering Institute Mar 2015
Last updated
2023-11-18
Database
ProQuest One Academic