Numerical prediction of machining-induced surface residual stress for TC4 cryogenic turning

Li, Haibo; Wang, Chengxin; Liu, Zhaohuan; Li, Kuo; Jiang, Shaowei; Wang, Yongqing

doi:10.1007/s00170-021-06805-0

Cited by 14 publications

(3 citation statements)

References 28 publications

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“…The average Shore hardness A of five welded parts is about SH 82, SH 83, SH 81, SH 83, and SH 82, respectively. This study utilizes a CNC turning machine [34][35][36] to weld PEEK polymer rods. The advantage of this approach is that it is suitable to join large or thicker parts compared with UW [24][25][26].…”

Section: Resultsmentioning

confidence: 99%

“…The simulation software [41,42] is also recommended to predict the optimum process parameters of RFW, such as the rotational speed, feed rate, axial pressure, welding time, or friction time. In addition, integrating RFW with automation and robotics systems [43] is also a promising research topic because it could enhance the pro- This study utilizes a CNC turning machine [34][35][36] to weld PEEK polymer rods. The advantage of this approach is that it is suitable to join large or thicker parts compared with UW [24][25][26].…”

Section: Resultsmentioning

confidence: 99%

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Characterization of the Polyetheretherketone Weldment Fabricated via Rotary Friction Welding

Kuo,

Liang,

Huang

2023

Polymers

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Polyether ether ketone (PEEK) is frequently employed in biomedical engineering due to its biocompatibility. Traditionally, PEEK manufacturing methods involve injection molding, compression molding, additive manufacturing, or incremental sheet forming. Few studies have focused on rotational friction welding (RFW) with PEEK plastics. Based on years of RFW practical experience, the mechanical properties of the weldment are related to the burn-off length. However, few studies have focused on this issue. Therefore, the main objective of this study is to assess the effects of burn-off length on the mechanical properties of the welded parts using PEEK polymer rods. The welding pressure can be determined by the rotational speed according to the proposed prediction equation. The burn-off length of 1.6 mm seems to be an optimal burn-off length for RFW. For the rotational speed of 1000 rpm, the average bending strength of the welded parts was increased from 108 MPa to 160 Mpa, when the burn-off length was increased from 1 mm to 1.6 mm and the cycle time of RFW was reduced from 80 s to 76 s. A saving in the cycle time of RFW of about 5% can be obtained. The bending strength of the welded part using laser welding is lower than that using RFW, because only the peripheral material of the PEEK cylinder was melted by the laser.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Characterization of the Polyetheretherketone Weldment Fabricated via Rotary Friction Welding

Kuo,

Liang,

Huang

2023

Polymers

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show abstract

“…Guo et al [17] established a meshless 3D milling simulation model of TC4 titanium alloy by using the smooth particle hydrodynamics (SPH) method to simulate the cutting forces with different cutting parameters and found that the cutting force is the most sensitive to the axial depth of cut, followed by the radial depth of cut, and it is least sensitive to the feed per tooth value. Liu et al [18] established a finite element model (FEM) for numerical prediction of TC4 turning and analyzed the effect of LN2 low-temperature machining on residual stress distribution, and the results showed that LN2 cryogenic machining can effectively reduce residual tensile stresses, and the study provided some reference for future numerical prediction and suppression of residual stresses. Hu et al [19] investigated the kinematics and material removal mechanisms of longitudinal bending hybrid ultrasonic vibration-assisted milling (LBVAM) through analytical studies, 3D finite element simulations, and corresponding experiments.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters for Deep Hole Boring of Ti-6Al-4V Deep Bottle Hole

Zheng

Feng

2023

Materials

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In this study, the cutting parameters for machining deep bottle holes (deep holes with complex profiles and length-to-diameter ratio greater than 10) were optimized based on cutting simulation, a regression analysis genetic algorithm, and experimental validation. The influence of cutting parameters on cutting force and cutting temperature was analyzed using the response surface method (RSM), and the regression prediction model of cutting parameters with cutting force and most cutting temperature was established. Based on this model, multi-objective optimization of cutting force Fx and material removal rate Q was carried out based on a genetic algorithm, and a set of optimal cutting parameters (v = 139.41 m/min, ap = 1.12 mm, f = 0.27 mm/rev) with low cutting force and high material removal rate were obtained. Finally, based on the optimal cutting parameters, the machining of TC4 deep bottle holes with a length-to-diameter (L/D) ratio of 36.36 and a roughness of Ra 3.2 µm was accomplished through a deep hole boring experiment, which verified the feasibility of the selected cutting parameters and provided a certain reference for the machining of this type of parts.

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An auxiliary thermal stress forming method for realizing large angle

Guo

Shi

Guo

et al. 2022

Int J Adv Manuf Technol

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Numerical prediction of machining-induced surface residual stress for TC4 cryogenic turning

Cited by 14 publications

References 28 publications

Characterization of the Polyetheretherketone Weldment Fabricated via Rotary Friction Welding

Characterization of the Polyetheretherketone Weldment Fabricated via Rotary Friction Welding

Optimization of Cutting Parameters for Deep Hole Boring of Ti-6Al-4V Deep Bottle Hole

An auxiliary thermal stress forming method for realizing large angle

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