Experimental study of a six new ball-burnishing strategies effects on the Al-alloy flat surfaces integrity enhancement

Amdouni, Hatem; Bouzaiene, Hassen; Montagne, Alex; Gorp, Adrien Van; Coorevits, Thierry; Nasri, Mustapha; Iost, Alain

doi:10.1007/s00170-016-9529-9

Cited by 30 publications

(10 citation statements)

References 24 publications

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“…When the goal is to achieve only surface smoothing, the classic BB schemes can be used [ 21 ], in which the trajectory of the deforming element is the same as that of the cutting tools in drilling, turning, and milling cutting operations. Recently, there has emerged more and more evidence that the BB process can be successfully implemented using computer numerical control (CNC) equipment, which allows application of different strategies and toolpaths [ 22 , 23 , 24 , 25 ]. Some authors [ 26 ] report improvements in BB tools that allow the simultaneous use of multiple deforming elements to increase the process productivity.…”

Section: Introductionmentioning

confidence: 99%

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

et al. 2021

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The present work describes an experimental investigation of the fatigue durability of AISI 304 and AISI 316L austenitic stainless steels, which have regular reliefs (RR) of the IV-th type, formed by ball burnishing (BB) on flat surfaces, using a computer numerical control (CNC) milling center. The methodology and the equipment used for obtaining regular reliefs, along with a vibration-induced fatigue test setup, are presented and described. The results from the BB process and the fatigue life experiments of the tested austenitic stainless steels are gathered, using the approach of factorial design experiments. It was found that the presence of RR of the IV-th type do not worsen the fatigue strength of the studied steels. The Pareto, t-test and Bayesian rule techniques are used to determine the main effects and the interactions of significance between ball burnishing regime parameters. A stochastic model is derived and is used to find when the probability of obtaining the maximum fatigue life of parts made of AISI 304 or 316L reaches its maximum value. It was found that when the deforming force, the amplitude of the sinewaves and their wavenumber are set at high values, and the feed rate is set at its low value, the probability to reach maximum fatigue life for the parts made of AISI 304 or 316L is equal to 97%.

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Section: Introductionmentioning

confidence: 99%

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

et al. 2021

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“…This applied both rolling [ 3 , 4 , 6 ] and sliding [ 2 , 10 , 14 ] burnishing. The majority of these articles [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ] present studies that link the input parameters with the properties of the obtained surface layer. Many of these articles describe the obtained properties of the surface layer in relation to the geometric surface structure, structure and micro-hardness of the surface layer and the stresses present in it, as well as functional properties such as fatigue strength, surface friction and wear, corrosion resistance, etc.…”

Section: Introductionmentioning

confidence: 99%

Jumping Wave Characteristic during Low Plasticity Burnishing Process

2021

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During the low plasticity burnishing process of soft materials such as carbon steel with a hardness of up to 40 HRC (Rockwell grade) a raised structure of the material known as the Jumping Wave forms in front of the tool roll. This phenomenon significantly disturbs the burnishing process, but is very poorly described in the literature. This article presents studies of this phenomenon on the example of burnished 1.0562 steel. The research concerns the changes in the surface structure of the processed material as well as changes in the structure of the material during this process. The research shows changes in the geometric structure of the surface made in the 3D system and their parametric description. Moreover, the work presents an analysis of the metallographic structure in the tool zone. The research showed occurrence of material slippages in the wave in front of the tool, which creates an additional structure on the surface. These tests make it possible to better understand the process of changes that take place in the surface layer of the processed element in the low plasticity burnishing process.

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“…Revankar et al [7] presented that the improvements in the surface roughness and microhardness were 77.0 % and 17.0 %, as compared to pre-machined properties for the burnished titanium alloy. Amdouni et al [8] indicated that the burnishing crossed path could be effectively used to decrease the roughness, while the successive one was an alternative solution to increase the hardness for the burnished aluminium alloy. John et al [9] emphasized that the average roughness could be decreased by 94.5 %, and the micro-hardness could be increased by around 41.7 % for the burnishing process of EN-9 alloy.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

Nguyen

Thai

2021

SV-JME

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Improving the surface quality after burnishing operation has been the subject of various published investigations. Unfortunately, the trade-off analysis between the energy consumption and surface characteristics of the internal burnishing has been not addressed due to the expensive cost and huge efforts required. The objective of the present work is to optimize burnishing factors, including the spindle speed, burnishing feed, depth of penetration, and the number of rollers for minimizing the energy consumed in the burnishing time, as well as surface roughness and maximizing Rockwell hardness. An adaptive neuro-based-fuzzy inference system (ANFIS) was used to develop burnishing objectives in terms of machining parameters. The optimization outcomes were selected using an evolution algorithm, specifically the non-dominated sorting particle swarm optimization (NSPSO). The results of the proposed ANFIS models are significant and can be employed to predict response values in industrial applications. The optimization technique comprising the ANFIS and NOPSO is a powerful approach to model burnishing performances and select optimal parameters as compared to the trial and error method as well as operator experience. Finally, the optimal solution can help to achieve the improvements in the energy consumed by 16.3 %, surface roughness by 24.3 %, and Rockwell hardness by 4.0 %, as compared to the common values.

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Experimental study of a six new ball-burnishing strategies effects on the Al-alloy flat surfaces integrity enhancement

Abstract: IOST-Experimental study of a six new ball-burnishing strategies effects on the Al-alloy flat surfaces integrity enhancement-Int.

Cited by 30 publications

References 24 publications

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

Impact of Ball Burnished Regular Reliefs on Fatigue Life of AISI 304 and 316L Austenitic Stainless Steels

Jumping Wave Characteristic during Low Plasticity Burnishing Process

Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

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