The force system and performance of the welding carbide gun drill to cut AISI 1045 steel

Wang, Yongguo; Jia, Wenxing; Zhang, Jingsong

doi:10.1007/s00170-014-6072-4

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…In the process of gun drilling, the cutting force mainly comes from the decomposition of the normal force and friction force on the guide bar and cutting edge as well as the clearance water pressure in XYZ directions. According to the principle of force balance, the forces are decomposed in X and Y directions, seen as follows [9] :…”

Section: Simplified Force Decomposition On Guide Barmentioning

confidence: 99%

“…Dirk Biermann et al [7] studied the influence of drill edge radius on drilling force, tool wear, tool life, chip length and surface roughness. Jung J [8] ，Wang Y [9] established a mathematical drilling force model of gun drills based on the energy principle and micro cutting tools, and the correctness of the model were verified by drilling experiments. Astakhov et al [10] studied the formation principle of trumpet mouth under gun drilling.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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: Simplified Force Decomposition On Guide Barmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Liang¹,

Li²,

Yan³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The tool wears have been measured using Keyence VHX-5000 digital microscope. In this paper, the maximum flank wear which is most widely used in literature [64], [5], [65], [66], [67], [6] has been used as the health indicator of the tool. In this dataset, it is found 3 out of 20 tools are broken, 6 out of 20 tools have chipping at final state and 11 out of 20 tools are worn after gun drilling operations.…”

Section: B Experimental Setupmentioning

confidence: 99%

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

Zhang

Tan

et al. 2019

IEEE Trans. Neural Netw. Learning Syst.

216

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Imbalanced data with a skewed class distribution are common in many real-world applications. Deep Belief Network (DBN) is a machine learning technique that is effective in classification tasks. However, conventional DBN does not work well for imbalanced data classification because it assumes equal costs for each class. To deal with this problem, cost-sensitive approaches assign different misclassification costs for different classes without disrupting the true data sample distributions. However, due to lack of prior knowledge, the misclassification costs are usually unknown and hard to choose in practice. Moreover, it has not been well studied as to how cost-sensitive learning could improve DBN performance on imbalanced data problems. This paper proposes an evolutionary cost-sensitive deep belief network (ECS-DBN) for imbalanced classification. ECS-DBN uses adaptive differential evolution to optimize the misclassification costs based on the training data that presents an effective approach to incorporating the evaluation measure (i.e., G-mean) into the objective function. We first optimize the misclassification costs, and then apply them to DBN. Adaptive differential evolution optimization is implemented as the optimization algorithm that automatically updates its corresponding parameters without the need of prior domain knowledge. The experiments have shown that the proposed approach consistently outperforms the state of the art on both benchmark data sets and real-world data set for fault diagnosis in tool condition monitoring.

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“…The gun drilling experiment of TC4 titanium alloy was carried out by Chen Jie et al [16] to establish the processing parameters for deep-hole drilling. Wang Yongguo et al [17] established a carbide gun drill force system by the integration of forces on the main cutting edge, wear pad and outer diameter (OD) relief, and the mechanical equilibrium equations, applying specific energy model, which consisted of the geometry parameters, machining parameters, and material properties. Qingdong Zhao [18] focused on the study of ductile iron cutting mechanism of welding carbide gun drill by way of theoretical mode and finite element simulation analysis, meanwhile analyzed the cutting performance under different conditions of cutting parameters.…”

Section: Introductionmentioning

confidence: 99%

Study of Double-Edged Gun Drills with Different Edge Types in Drilling Compacted Graphite Iron

Chen

Shi

et al. 2020

KEM

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Deep-hole machining is an important part in the field of mechanical processing of diesel engine. Gun drill has been widely used in deep-hole machining because of its high dimensional accuracy, high efficiency and good straightness. Through experiments on drilling compacted graphite iron with two different edge types of double-edged gun drills, the spindle power, axial force and tool wear were analyzed and found out one edge type which is more suitable for processing compacted graphite iron. This paper presents a simulation of deep hole drilling to validate the analysis. The research results have important guiding significance for deep hole processing of compacted graphite iron.

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The force system and performance of the welding carbide gun drill to cut AISI 1045 steel

Cited by 8 publications

References 36 publications

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

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

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

Study of Double-Edged Gun Drills with Different Edge Types in Drilling Compacted Graphite Iron

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