The role of tool presetting in milling stability uncertainty

Vieira, Milton; Baptista, Elesandro Antônio; Araki, Luciana; Smith, Scott; Schmitz, Tony L.

doi:10.1016/j.promfg.2018.07.023

Cited by 10 publications

(1 citation statement)

References 8 publications

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“…Sridhar 12 proposed a method for the stability analysis of general milling processes and established an algorithm that can be used to determine the stability boundary in the controllable parameter space related to cutting operations. Vieira Jr 13 studied the relationship between the extension length of preset tools and their diameter, tool point frequency response function (FRF), and milling stability. Three different situations were considered and evaluated to understand their influence on the uncertainty of the tool extension length and its diameter.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the micro-texture and cutting parameters of ball-end milling cutters to achieve milling stability

Tong

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The machining of titanium alloy can lead to serious tool wear, with this resulting in a lack of milling system stability and chatter. This paper looks at the relationship between milling stability and the use of micro-texturing on cutter surfaces, which aims to reduce tool wear. A stability lobe diagram is first drawn that is based on a dynamic model of the milling of titanium alloy by a ball-end milling cutter. This provides the cutting parameters for a stable domain. A micro-texture distribution model is then established for different cutting depths and the influence of micro-texture parameters on the milling performance of cutting tools according to various cutting parameters studied. The parameters are then optimized using an artificial bee colony algorithm, with the milling force, machined surface quality, and tool wear being adopted as the principal evaluation indicators. This provides a theoretical basis for the future selection of optimal cutting and micro-texture parameters.

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Section: Introductionmentioning

confidence: 99%