Self-organizing fuzzy control of constant cutting force in turning

Lian, Ruey-Jing; Lin, Bo-Wen; Huang, Jyun-Han

doi:10.1007/bf02729095

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…6) that generates tool tip displacements and maintains the vibrations of elastic system block-tool BT. Thus, the cutting force variable and the self-excited vibrations of elastic WTM system are interactive, in agreement with research work [4], [17], [25], [27].…”

Section: Resultant Of the Cutting Actions Analysissupporting

confidence: 88%

“…In the three-dimensional cutting configuration, the mechanical actions torsor (forces and moments), is often truncated: the moments part of this torsor is neglected due to the lack of adapted metrology [1], [2], [3], [4], [5]. Unfortunately, until now the results on the cutting forces are almost still validated using platforms of forces (dynamometers) measuring the forces three components.…”

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confidence: 99%

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Self-excited vibrations in turning: cutting moment analysis

Cahuc

K'Nevez

Gérard

et al. 2009

Int J Adv Manuf Technol

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This work aims at analysing the moment effects at the tool tip point and at the central axis, in the framework of a turning process. A testing device in turning, including a six-component dynamometer, is used to measure the complete torsor of the cutting actions in the case of self-excited vibrations. Many results are obtained regarding the mechanical actions torsor. A confrontation of the moment components at the tool tip and at the central axis is carried out. It clearly appears that analysing moments at the central axis avoids the disturbances induced by the transport of the moment of the mechanical actions resultant at the tool tip point. For instance, the order relation between the components of the forces is single. Furthermore, the order relation between the moments components expressed at the tool tip point is also unic and the same one. But at the central axis, two different order relations regarding moments are conceivable. A modification in the rolling moment localization in the (y, z) tool plan is associated to these two order relations. Thus, the moments components at the central axis are particularly sensitive at the disturbances of machining, here the self-excited vibrations.

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Section: Resultant Of the Cutting Actions Analysissupporting

confidence: 88%

mentioning

confidence: 99%

Self-excited vibrations in turning: cutting moment analysis

Cahuc

K'Nevez

Gérard

et al. 2009

Int J Adv Manuf Technol

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“…18–21 ACC methods are in poor industrial acceptance because of the lack of controller stability. 16,22 The application of the hybrid adaptive control method is also limited in gear shaping because of their higher requirement to CNC hardware and algorithm complexity.…”

Section: Introductionmentioning

confidence: 99%

An efficient spur gear shaping method based on homogenizing cutting area through variational circular feed rate

Zhang

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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Gear shaping is a widely applied technology to produce spur gears. Generally, the pinion cutter and the gear workpiece rotate uniformly with a given gear ratio during the conventional gear shaping process, which can cause a large variation of the cutting area per stroke in cutting tooth spaces. It makes the cutting force less than the rated capacity of the gear shaper in most cutting strokes and thus reduces the process efficiency. To overcome such a shortage, a new spur gear shaping method is proposed in this article, in which the cutting area per stroke is homogenized to a target value through optimizing the circular feed rate. The new method can enhance process efficiency by keeping the cutting force equivalent to the rated capacity of the gear shaper. The specific algorithm includes a number of aspects: cutting area calculation, gear profile generation, cutting area analysis of conventional gear shaping, and cutting area homogenization. Additionally, the new spur gear shaping method is demonstrated and validated using a VERICUT simulation. From the simulation results, it is found that the process efficiency is improved up to 40% via the efficient gear shaping because of the reduced number of shaping strokes. Hence, the new spur gear shaping method is applicable for computer numerical control gear shapers to improve the process efficiency significantly without any additional hardware changes.

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“…Control of general under-actuated mechanical systems is currently considered a major open problem. Self-organizing fuzzy control technology, which has been successfully applied in various control engineering fields, 12–15 may provide a possible solution to this dilemma. Using online learning algorithm and fuzzy reasoning capabilities, self-organizing fuzzy controllers (SOFCs) are able to capture the uncertainties and nonlinearities of objective system and calibrate the control input adaptively in real time.…”

Section: Introductionmentioning

confidence: 99%

Self-organizing fuzzy optimal control for under-actuated systems

Zhang

Wang

2014

Proceedings of the Institution of Mechanical Engineers, Part I:

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This study combines self-organizing fuzzy logic control technology with optimal control theory and presents a selforganizing fuzzy optimal controller for under-actuated systems. Instead of calibrating the control input directly, the self-organizing fuzzy optimal controller employs the self-organizing fuzzy system as a superior regulator to adjust the weighting matrix of the cost function for the optimal controller. Through this operation and the hierarchical control architecture design, self-organizing fuzzy optimal controller adaptively regulates the control strategy and manipulates the optimal control procedure according to the system dynamic behavior in real time. The optimal control law corresponding to the proposed regulator is then derived from the maximum principle for optimal control theory. The stability of the selforganizing fuzzy optimal controller is analyzed and proved through the Lyapunov stability theorem. Simulations on an under-actuated gantry crane system and a ball-and-beam system have verified that the self-organizing fuzzy optimal controller provides superior control performances as compared with the traditional linear quadratic regulating controller.

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Self-organizing fuzzy control of constant cutting force in turning

Cited by 7 publications

References 22 publications

Self-excited vibrations in turning: cutting moment analysis

Self-excited vibrations in turning: cutting moment analysis

An efficient spur gear shaping method based on homogenizing cutting area through variational circular feed rate

Self-organizing fuzzy optimal control for under-actuated systems

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