Counterbalance of cutting force for advanced milling operations

Tsai, Nan-Chyuan; Shih, Li Wen; Lee, Rong Mao

doi:10.1016/j.ymssp.2009.10.005

Cited by 15 publications

(12 citation statements)

References 11 publications

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“…In the past two decades, AMB has been gradually adopted as a non-contact, lubrication-free, and levitation-efficient device in various industrial applications. Owing to its merits, such as the capability to regulate spindle dynamics, AMB has become a potential element for high-speed rotating machinery, e.g., milling machines [1][2][3], gas turbines [4,5], turbo-molecular pumps [6], and so on.…”

Section: Active Magnetic Bearing (Amb)mentioning

confidence: 99%

“…Though the two types of AMB designs shown in Figure 1 have ever been applied in computer numerical control (CNC) machines [1,3,6], the current AMB design still cannot meet the requirements for milling applications, such as the overall size of AMB and the force intensity [25][26][27]. For the purposes of solving these troublesome issues against milling applications, a novel embedded cylindrical-array magnetic actuator (ECAMA) is proposed [28].…”

Section: Embedded Cylindrical-array Magnetic Actuator (Ecama)mentioning

confidence: 99%

“…However, the milling dynamics are highly nonlinear and determined by several cutting operation parameters. As a result, the variation of cutting force is, hence, drastic and complex [3]. Similarly, the magnetic force by the ECAMA is highly nonlinear, as well.…”

Section: Control Goalmentioning

confidence: 99%

“…The fuzzy milling dynamic models are constructed by experiments for the purpose of estimating the cutting force, c F [3] …”

Section: Fuzzy Model-reference Adaptive Control (Fmrac)mentioning

confidence: 99%

“…The fuzzy milling dynamic models are constructed by experiments for the purpose of estimating the cutting force, F c [3] online. Once the estimated cutting force, r F c , is obtained according to the present axial cut depth, a C , feedrate, f , and spindle speed, Ω, the compensatory magnetic force, F m , can be determined to counter-balance F c , i.e., F m "´r F c .…”

Section: Fuzzy Model-reference Adaptive Control (Fmrac)mentioning

confidence: 99%

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Adaptive Control of Active Magnetic Bearing against Milling Dynamics

Lee

Chen

2016

Applied Sciences

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For improving the defects in milling processes caused by traditional spindle bearings, e.g., the dimensional discrepancy of a finished workpiece due to bearing wear or oil pollution by lubricant, a novel embedded cylindrical-array magnetic actuator (ECAMA) is designed for milling applications. Since ECAMA is a non-contact type actuator, a control strategy named fuzzy model-reference adaptive control (FMRAC) is synthesized to account for the nonlinearities of milling dynamics and magnetic force. In order to ensure the superior performance of spindle position regulation, the employed models in FMRAC are all constructed by experiments. Based on the experimental results, the magnetic force by ECAMA is much stronger than that by the traditional active magnetic bearing (AMB) design under the same test conditions and identical overall size. The efficacy of ECAMA to suppress the spindle position deviation with the aid of FMRAC has been verified as well via numerical simulations and practical metal cutting.

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