NDLI: Numerical robust stability estimation in milling process

Content Provider	Springer Nature Link
Author	Zhang, Xiaoming Zhu, Limin Ding, Han Xiong, Youlun
Copyright Year	2012
Abstract	The conventional prediction of milling stability has been extensively studied based on the assumptions that the milling process dynamics is time invariant. However, nominal cutting parameters cannot guarantee the stability of milling process at the shop floor level since there exists many uncertain factors in a practical manufacturing environment. This paper proposes a novel numerical method to estimate the upper and lower bounds of Lobe diagram, which is used to predict the milling stability in a robust way by taking into account the uncertain parameters of milling system. Time finite element method, a milling stability theory is adopted as the conventional deterministic model. The uncertain dynamics parameters are dealt with by the non-probabilistic model in which the parameters with uncertainties are assumed to be bounded and there is no need for probabilistic distribution densities functions. By doing so, interval instead of deterministic stability Lobe is obtained, which guarantees the stability of milling process in an uncertain milling environment. In the simulations, the upper and lower bounds of Lobe diagram obtained by the changes of modal parameters of spindle-tool system and cutting coefficients are given, respectively. The simulation results show that the proposed method is effective and can obtain satisfying bounds of Lobe diagrams. The proposed method is helpful for researchers at shop floor to making decision on machining parameters selection.
Starting Page	953
Ending Page	959
Page Count	7
File Format	PDF
ISSN	10009345
Journal	Chinese Journal of Mechanical Engineering
Volume Number	25
Issue Number	5
Language	English
Publisher	Chinese Mechanical Engineering Society
Publisher Date	2012-09-20
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	robust stability estimation sensitivity analysis interval arithmetic decision making Mechanical Engineering Power Electronics, Electrical Machines and Networks Engineering Thermodynamics, Heat and Mass Transfer Electronics and Microelectronics, Instrumentation Manufacturing, Machines, Tools Theoretical and Applied Mechanics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering

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