Automated calculation of shaft flexure for a gun drill

Kirsanov, S. V.; Tsygankov, R. S.; Tukhfatullin, B. A.

doi:10.3103/s1068798x17070152

Cited by 2 publications

(2 citation statements)

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“…Tarng [15] developed a flutter identification system based on the ART2 neural network method, which could effectively identify the drill pipe vibration in the process of gun drilling. Kirsanov [2] , Chin et al [16] . used finite element method to simulate the vibration and bending of drill pipe in the process of gun drilling.…”

Section: Introductionmentioning

confidence: 99%

“…With the development of machining technology and equipment manufacturing, deep hole drilling becomes more and more widely used and important [1] . At present, deep hole processing is mainly used in energy and chemical industry, automobile engine, construction machinery and shipbuilding industry [2] . However, it has become one of the most difficult machining technologies due to the complicated machining system and tool design, poor tool rigidity caused by large length-diameter ratio, and closed machining environment which is difficult to monitor.…”

Section: Introductionmentioning

confidence: 99%

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Research on Deep-hole Drilling Quality of High-strength Steel With Slender Gun Drill

Liang¹,

Li²,

Yan³

et al. 2021

Preprint

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There are a lot of problems exist in the processing of long and thin deep hole gun drilling of high strength steel, such as insufficient of the machining mechanism and characteristics of gun drilling, difficulty in selecting machining parameters, unknown influence mechanism of machining parameters on drilling force, drilling temperature and machining quality. In this paper, 42CrMo high strength steel is selected as the workpiece material. A numerical model of cutting force is established based on the mechanism of gun drill, and then the finite element simulation and processing test are carried out. The results show that the cutting force decreases with the increase of cutting speed, and increases with the increase of feed speed; the error between the theoretical and actual value is less than 10%. Cutting speed and feed speed have a great influence on machining quality, and the cutting fluid pressure mainly affects the surface roughness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%