NDLI: Machining strategy development and parameter selection in 5-axis milling based on process simulations

Content Provider	Springer Nature Link
Author	Tunç, Lütfi Taner Ozkirimli, Omer Mehmet Budak, Erhan
Copyright Year	2015
Abstract	In modern machining applications, with the developments in computer-aided manufacturing (CAM) technology, predictive modeling of milling operations has gained momentum. However, there is still a big gap between CAM technology and process modeling which limits its use in machining strategy development and parameter selection. In this paper, an approach is proposed for the use of process models and simulation tools in this direction. Cutting force and stability simulations are used in identification of feasible regions of cutting parameters and comparison of machining strategies for productivity. Cutting force simulation throughout a toolpath is performed through extended Z-mapping approach, where a previously developed generalized cutting force model is utilized. Stability diagrams are generated in frequency domain. Dynamic programming (DP) approach is adapted for machining strategy comparison, which takes into account several constraint curves such as chatter stability, cutting torque, spindle power, tool deflection, and surface roughness. The proposed approach was applied on a case study to demonstrate the use of process models in machining strategy and parameter selection in 5-axis milling.
Starting Page	1483
Ending Page	1500
Page Count	18
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	85
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-11-09
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Process modeling Multi-axis milling Cutting mechanics Chatter stability Machining strategy Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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