An analytical prediction model for residual stress distribution and plastic deformation depth in ultrasonic-assisted single ball burnishing process

Teimouri, Reza; Wang, Qingqing

doi:10.1007/s00170-020-06068-1

Cited by 17 publications

(12 citation statements)

References 31 publications

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“…Residual stresses can be predicted analytically by knowing the cutting temperature and mechanical loading history. [ 255 ] Liu and co‐workers [ 256 ] proposed an analytical model for predicting the residual stress distribution and depth of plastic deformation in the ultrasonic‐assisted single‐ball burnishing process. The accuracy of the residual stress predictive model in the worst case was less than 20%, which was acceptable compared with other predictive models.…”

Section: Origins and Effectsmentioning

confidence: 99%

Residual Stress in Engineering Materials: A Review

et al. 2021

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The accurate determination of residual stresses has a crucial role in understanding the complex interactions between microstructure, mechanical state, mode(s) of failure, and structural integrity. Moreover, the residual stress management concept contributes to industrial applications, aiming to improve the product's service performance and life cycle. In this regard, the industry requests rapid, efficient, and modern methods to identify and control the residual stress state. This review article contains three main sections. The first section covers different residual stress determination methods and reports the advancements over the recent decade. The second section includes the role of residual stresses in the performance of a broad range of materials including metallic alloys, polymers, ceramics, composites, and biomaterials. This is presented by classifying different science areas dealing with residual stresses into two main groups, including “origins” and “effects” of residual stresses. The range of topics covered are “welding, machining, curing/cooling, and spray coating processes,” “medical and dental sciences,” and “fatigue and fracture mechanisms.” The third section summarizes various strategies to effectively control residual stresses through different manufacturing procedures. It is hoped that the data provided herein serves as a valuable up‐to‐date reference for engineers and scientists in the field of residual stress.

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Section: Origins and Effectsmentioning

confidence: 99%

Residual Stress in Engineering Materials: A Review

et al. 2021

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“…As the impact velocity increases, the impact energy which is converted to plastic working also increases. Thus, increase of plastic working yields further plastic strain and work hardening of the surface [19,20]. Thus, the surface hardness will increase.…”

Section: Parametric Influence Of Hardnessmentioning

confidence: 99%

Shot peening of selective laser-melted SS316L with ultrasonic frequency

Alharbi

2021

Int J Adv Manuf Technol

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In the present work, an experimental study was carried out aiming at optimization of shot peening (SP) process with ultrasonic bombarding frequency to enhance the surface integrity of stainless steel 316 produced by selective laser melting (SLM). Here, the shots are streamed toward target surface by ultrasonic deriving unit. Shot peening experiments were carried out based on response surface design to incorporate effect of ultrasonic power, processing time, ball diameters, and gap distance on hardness and surface roughness. Multi-objective optimization of process using desirability approach function was performed to obtain maximum hardness and minimum surface roughness. After obtaining the optimal solutions, series of surface integrity examination tests such as microstructure evolution, surface morphology, hardness, and residual stress distributions were conducted on optimal samples to understand whether process optimization enhances the surface integrity aspects of post-processed SLMed SS316 compared to as-built one. Obtained results revealed that setting of 600-W power, 15-min processing time, 6-mm ball diameter, and 30-mm gap distance is an optimum setting that yields surface roughness of 7.47 μm and surface hardness of 411 V. According to the surface roughness and hardness value of as-built material, the former decreased about 176% and latter enhanced about 90%.

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“…The introduction of ultrasonic vibration increases the thickness of the gradient nanostructure [22,23]. Nevertheless, ultrasonic-assisted surface burnishing process has a higher coefficient of friction (COF) than surface burnishing process, which not conducive to surface roughness [24]. In the machining process, the two-dimensional vibration can further optimize the cycle of stress loading, lessen the fluctuation of the machining force, and reduce COF.…”

Section: Introductionmentioning

confidence: 99%

“…In order to establish more accurate regression equations. Take BD =[7,8,9,10,11], SS =[17,18,19,20,21,22,23,24,25], FR=5, then solve regression Eqs. (4),(5).…”

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confidence: 99%

Investigation of Two-Dimensional Ultrasonic Surface Burnishing Process on 7075-T6 Aluminum

Zhou

Zheng

Ding

et al. 2021

Chin. J. Mech. Eng.

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A novel two-dimensional ultrasonic surface burnishing process (2D-USBP) is proposed. 7075-T6 aluminum samples are processed by a custom-designed 2D-USBP setup. Parameter optimization of 2D-USBP is conducted to determine the best processing strategy of 7075-T6 aluminum. A uniform design method is utilized to optimize the 2D-USBP process. U13(133) and U7(72) tables are established to conduct parameter optimization. Burnishing depth, spindle speed, and feed rate are taken as the control parameters. The surface roughness and Vickers hardness are taken as the evaluation indicators. It establishes the active control models for surface quality. Dry wear tests are conducted to compare the wear-resistance of the 2D-USBP treated sample and the original sample. Results show that the machining quality of 2D-USBP is best under 0.24 mm burnishing depth, 5000 r/min spindle speed, and 25 mm/min feed rate. The surface roughness Sa of the sample is reduced from 2517.758 to 50.878 nm, and the hardness of the sample surface is improved from 167 to 252 HV. Under the lower load, the wear mechanism of the 2D-USBP treated sample is mainly abrasive wear accompanied by delamination wear, while the wear mechanism of the original sample is mainly delamination wear. Under the higher load, the accumulation of frictional heat on the sample surface transforms the wear mechanisms of the original and the 2D-USBP treated samples into thermal wear.

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An analytical prediction model for residual stress distribution and plastic deformation depth in ultrasonic-assisted single ball burnishing process

Cited by 17 publications

References 31 publications

Residual Stress in Engineering Materials: A Review

Residual Stress in Engineering Materials: A Review

Shot peening of selective laser-melted SS316L with ultrasonic frequency

Investigation of Two-Dimensional Ultrasonic Surface Burnishing Process on 7075-T6 Aluminum

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