Machining Metal Matrix Composites with conventional metal removal causes particle debonding and crack propagation. This paper has given enhancing results for magnesium silicon carbide Metal Matrix Composite using an internal roller burnishing process. The optimal process parameters are obtained using a full factorial design and Taguchi Multi Response optimization. The optimized parameters include a spindle speed of 500 rpm, a feed rate of 0.5 mm/rev, and a stock allowance of 0.03 mm. The resulting surface characteristics comprise a surface roughness of 0.1555 µm, an out of roundness of 0.0595 mm, and a surface hardness of 66.9 HV. Scanning electron and atomic force microscope, images analyze the surface topology. Auto parts like transfer case and steering components can use burnished components.
PimenovDYKiranMKhannaN, et al.Review of improvement of machinability and surface integrity in machining on aluminum alloys. Int J Adv Manuf Technol2023; 129: 4743–4779.
2.
ChenZDingFZhangZ, et al.A review on machining SiCp/Al composite materials. Micromachines2024; 15: 07.
3.
JagadeeshGVSettiSG. A review on latest trends in ball and roller burnishing processes for enhancing surface finish. Adv Mater Process Technol2022; 8: 4499–4523.
4.
BourebiaMHamadacheHLakhdarL, et al.Effect of ball burnishing process on mechanical properties and impact behavior of S355JR steel. Int J Adv Manuf Technol2021; 116: 1373–1384.
5.
Silva-ÁlvarezDFMárquez-HerreraASaldaña-RoblesA, et al.Improving the surface integrity of the CoCrMo alloy by the ball burnishing technique. J Mater Res Technol2020; 9: 7592–7601.
6.
LivatyaliHHasETürközM. Prediction of residual stresses in ball burnishing TI6AL4V thin sheets. Int J Adv Manuf Technol2020; 110: 1083–1093.
7.
YuanZZhouZJiangZ, et al.Evaluation of surface roughness of aluminum alloy in burnishing process based on chaos theory. Chin J Mech Eng2023; 36: 2.
8.
FerencsikVVargaG. The Influence of diamond burnishing process parameters on surface roughness of low-alloyed aluminium workpieces. Machines2022; 10: 564.
9.
NguyenT-TLeC-H. Optimization of compressed air assisted-turning-burnishing process for improving machining quality, energy reduction and cost-effectiveness. Proc Inst Mech Eng Part B J Eng Manuf2021; 235: 1179–1196.
10.
ArsalaniMRazfarMRAbdullahA, et al.Fatigue behavior improvement of hardened parts using sequential hard turning, grinding, and ball burnishing operations. Proc Inst Mech Eng Part L J Mater Des Appl2021; 235: 87–99.
11.
ZhangWDongHLiY, et al.Combining turning with slide burnishing to improve surface integrity and stress corrosion resistance. J Manuf Process2023; 107: 16–33.
12.
ZhouZZhengQDingC, et al.Investigation of two-dimensional ultrasonic surface burnishing process on 7075-T6 aluminum. Chin J Mech Eng2021; 34: 19.
13.
OzerMDalliKOzerA. Effect of ball-burnishing on surface integrity and fatigue behaviour of 7175-T6 AA. Mater Sci Technol2023; 39: 248–257.
14.
SayadiDRangrizianHKhodabandehA, et al.Using shot peening and burnishing to improve fatigue performance of additively manufactured 316L stainless steel. Proc Inst Mech Eng L: J Mater: Des Appl2024; 238: 707–722.
15.
DunchevaGMaximovJAnchevA, et al.Effect of roller burnishing and slide roller burnishing on fatigue strength of AISI 304 steel: comparative analysis. Metals2024; 14: 710.
16.
CaganSCPruncuCIBuldumBB. An investigation into ball burnishing process of magnesium alloy on CNC lathe using different environments. J Magnes Alloy2020; 8: 1061–1070.
17.
KarumuriSHaldarBPradeepA, et al.Multi-objective optimization using Taguchi based grey relational analysis in friction stir welding for dissimilar aluminium alloy. Int J Interact Des Manuf2024; 18: 1627–1644.
18.
VarpeNJHamiltonA. Investigation into Burnishing Process to Examine Effect on Surface Integrity, Wear and Corrosion Resistance of Carbon Alloy (EN31) Steel. J Materi Eng Perform2024; 33: 3691–3705. DOI: https://doi.org/10.1007/s11665-023-08524-x
19.
AnanthaMTBuddiTBoggarapuNR. Multi-objective optimization basing modified Taguchi method to arrive the optimal die design for CGP of AZ31 magnesium alloy. Int J Interact Des Manuf2023. DOI: https://doi.org/10.1007/s12008-022-01176-6
20.
UmasekarVGJohnMRS. Experimental investigation on the machining performance of AISI D2 tool steel during ultrasonic-assisted turning under dry and MQL conditions. Proc Inst Mech Eng E: J Process Mech Eng.2023; 237: 2605–2619.
21.
Duncheva GVMaximovJTDunchevVP, et al.Single toroidal roller burnishing of 2024-T3 Al alloy implemented as mixed burnishing process. Int J Adv Manuf Technol2020; 111: 3559–3570.
22.
SachinBRaoCMNaikGM, et al.Influence of slide burnishing process on the surface characteristics of precipitation hardenable steel. SN Appl Sci2021; 3(2): art. no. 223. doi:https://doi.org/10.1007/s42452-021-04260-w
23.
TajaneRSPawarPJ. Investigation into burnishing to minimize heat treatment in drill manufacturing. Mater Manuf Process2020; 35: 817–825.
24.
NguyenT-TLeM-T. Optimization of the internal roller burnishing process for energy reduction and surface properties. Stroj Vestn/J Mech Eng2021; 67: 167–179.
25.
JohnMRSBalajiBVinayagamBK. Optimisation of internal roller burnishing process in CNC machining center using response surface methodology. J Braz Soc Mech Sci Eng2017; 39: 4045–4057.
26.
FarullaGAPalombaVAloisioD, et al.Optimal design of lithium ion battery thermal management systems based on phase change material at high current and high environmental temperature. Therm Sci Eng Prog2023; 42: 101862.
27.
LeeKJLWongSF. Multi-Objective taguchi optimization of cement concrete incorporating recycled mixed plastic fine Aggregate using modified fuller’s equation. Buildings2023; 13: 893.
28.
DeyDBalKSKhanI, et al.Study of tribo-mechanical properties of laser clad Al2O3-TiB2-TiN-BN‖Ti-6Al-4 V alloy. Opt Laser Technol2022; 150: 107982.
29.
KüçükEÖKılıçM. Exergoeconomic analysis and multi-objective optimization of ORC configurations via Taguchi-Grey Relational Methods. Heliyon2023; 9: e15007. https://doi.org/10.1016/j.heliyon.2023.e15007
30.
WangKLiuZWuM, et al.Experimental study of mechanical properties of hot dry granite under thermal-mechanical couplings. Geothermics2024; 119: 102974.
31.
JiangXWangYZhaoD, et al.Online Pareto optimal control of mean-field stochastic multi-player systems using policy iteration. Sci China Inf Sci2024; 67(4): art. no. 140202. https://doi.org/10.1007/s11432-023-3982-y
32.
ChangXGuoJQinH, et al.Single-objective and multi-objective flood interval forecasting considering interval fitting coefficients. Water Resour Manage2024; 38(10): 3953–3972. https://doi.org/10.1007/s11269-024-03848-2
33.
ChenDZhaoJQinS. SVM Strategy and analysis of a three-phase quasi-Z-source inverter with high voltage transmission ratio. Sci China Technol Sci2023; 66: 2996–3010.
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
