The Application of Adhesive Technologies in the Assembly of Antivibration Boring Arbor

Игнатов, А. В.; Namazova, A. I.; Tagiltsev, S. V.

doi:10.1134/s1995421218010082

Cited by 2 publications

(1 citation statement)

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“…Hwang and Kim (2003) also reported that boring bar made with two or more materials increases the stiffness and results in reduced vibrations during the boring process. Ignatov et al (2018) used adhesive technologies in the assembly of an anti-vibration boring bar and found better stiffness. Liu et al (2019) performed an end milling operation using a novel constrained layer tool holder and observed an increase in chatter stability.…”

Section: Introductionmentioning

confidence: 99%

Optimal cutting state predictions in internal turning operation with nano-SiC/GFRE composite layered boring tools

Yuvaraju

Nanda

Srinivas

2021

IJMMM

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This paper presents passive vibration control methodology in internal turning process with the use of hybrid nanocomposite coatings (nano-SiC/GFRE) on the surface of boring bar. Natural frequencies and damping ratio of different composition tool holders are obtained experimentally using impact hammer test. Three different configuration considered are: conventional (tool holder 1); nano-SiC/GFRE with 1% SiC (tool holder 2); and nano-SiC/GFRE with 2% SiC (tool holder 3). A better damping ability is noticed in third configuration of tool holder compared to others. Furthermore, using single mode data, analytical stability lobe diagrams are constructed for all three tool holders. Moreover, Box-Behnken design (BBD) is adopted and a set of fifteen experiments are performed with each tool holder. For third configuration of tool holder, effect of input variables on the surface roughness and tool vibration amplitudes is studied using neural network model. Finally, the neural network regression model is employed as a function estimation tool in simulated annealing for obtaining optimal cutting conditions.

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Section: Introductionmentioning

confidence: 99%