Influence of process parameters on deep drawing of AA6111 aluminum alloy at elevated temperatures

Wen-yu Ma , Bao-yu Wang , lei Fu , Jing Zhou , Ming-dong Huang

Journal of Central South University ›› 2015, Vol. 22 ›› Issue (4) : 1167 -1174.

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Journal of Central South University ›› 2015, Vol. 22 ›› Issue (4) : 1167 -1174. DOI: 10.1007/s11771-015-2630-7
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Influence of process parameters on deep drawing of AA6111 aluminum alloy at elevated temperatures

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Abstract

To gain a deep insight into the hot drawing process of aluminum alloy sheet, simulations of cylindrical cup drawing at elevated temperatures were carried out with experimental validation. The influence of four important process parameters, namely, punch velocity, blank holder force (BHF), friction coefficient and initial forming temperature of blank on drawing characteristics (i.e. minimum thickness and thickness deviation) was investigated with the help of design of experiments (DOE), analysis of variance (ANOVA) and analysis of mean (ANOM). Based on the results of ANOVA, it is shown that the blank holder force has the greatest influence on minimum thickness. The importance of punch velocity for thickness deviation is 44.35% followed by BHF of 24.88%, friction coefficient of 15.77% and initial forming temperature of blank of 14.995%. After determining the significance of each factor on forming characteristics, how the individual parameter affects characteristics was further analyzed by ANOM.

Keywords

aluminum / process parameters / finite element method / hot drawing / analysis of variance / analysis of mean

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Wen-yu Ma, Bao-yu Wang, lei Fu, Jing Zhou, Ming-dong Huang. Influence of process parameters on deep drawing of AA6111 aluminum alloy at elevated temperatures. Journal of Central South University, 2015, 22(4): 1167-1174 DOI:10.1007/s11771-015-2630-7

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References

[1]

KimH S, KocM, NiJ. Development of an analytical model for warm deep drawing of aluminum alloys [J]. Journal of Materials Processing Technology, 2008, 197(1): 393-407

[2]

HirschJ, Al-SammanT. Superior light metals by texture engineering: Optimized aluminum and magnesium alloys for automotive applications [J]. Acta Materialia, 2013, 61(3): 818-843

[3]

WangH-m, XiaC-Q, LeiP, WangZ-wei. Influence of thermomechanical aging on microstructure and mechanical properties of 2519A aluminum alloy [J]. Journal of Central South University of Technology, 2011, 18: 1349-1353

[4]

TakudaH, Morik, MasudaI, AbeY, MatsuoM. Finite element simulation of warm deep drawing of aluminium alloy sheet when accounting for heat conduction [J]. Journal of Materials Processing Technology, 2002, 120(1): 412-418

[5]

NiJ-l, LiL, LiuQ, ZhaoF-q, XuY, GuoS-j, ChanghaiB-wen. The study of aluminum alloy application on automotive control arm [C]. Proceedings of the FISITA 2012 World Automotive Congress, 2013, Berlin, Springer Berlin Heidelberg: 901-908

[6]

UngureanuC A, DasS, JawahirI S. Life-cycle cost analysis: aluminum versus steel in passenger cars [C]. TMS: Aluminium Alloys for Transportation, Packaging, Aerospace and Other applications, Florida, USA, 200711-24

[7]

MohamedM S, FosterA D, LinJ G, BalintD S, DeanT A. Investigation of deformation and failure features in hot stamping of AA6082: Experimentation and modeling [J]. International Journal of Machine Tools and Manufacture, 2012, 53(1): 27-38

[8]

FosterA D, MohamedM, LinJ G, DeanT A. An investigation of lubrication and heat transfer for a sheet aluminium heat, form-quench (HFQ) process [J]. Steel Res Int, 2008, 79: 133-140

[9]

ZhangP, YeL Y, ZhangX M, GangG U, JiangH C, WuY L. Grain structure and microtexture evolution during superplastic deformation of 5A90 Al-Li alloy [J]. Transactions of Nonferrous Metals Society of China, 2014, 24(7): 2088-2093

[10]

HossainM M, HongS T, ParkK Y, NaY S. Microforming of superplastic 5083 aluminum alloy [J]. Transactions of Nonferrous Metals Society of China, 2012, 22(s3): s656-s660

[11]

MohamedM, FosterA D, LinJ G. Solution heat treatment in HFQ process [J]. Steel Res Int, 2008, 79(11): 160-167

[12]

WangH, LuoY-b, FriedmanP, ChenM-h, GaoLin. Warm forming behavior of high strength aluminum alloy AA7075 [J]. Transactions of Nonferrous Metals Society of China, 2012, 22(1): 1-7

[13]

DohmannF, HartlC. Hydroforming-A method to manufacture light-weight parts [J]. Journal of Materials Processing Technology, 1996, 60(1): 669-676

[14]

ZhouJ, WangB-y, LinJ G, FuLei. Optimization of aluminum alloy anti-collision side beam hot stamping process using multi-objective genetic algorithm [J]. Archives of Civil and Mechanical Engineering, 2013, 13(3): 401-411

[15]

FanX-b, HeZ-b, YuanS-j, ZhengK-lun. Experimental investigation on hot forming-quenching integrated process of 6A02 aluminum alloy sheet [J]. Materials Science and Engineering A, 2013, 573: 154-160

[16]

FanX-b, HeZ-b, YuanS-j, LinPeng. Investigation on strengthening of 6A02 aluminum alloy sheet in hot forming-quenching integrated process with warm forming-dies [J]. Materials Science and Engineering A, 2013, 587: 221-227

[17]

ParkK, KimY. The effect of material and process variables on the stamping formability of sheet materials [J]. Journal of Materials Processing Technology, 1995, 51(1): 64-78

[18]

PadmanabhanR, OliveiraM C, AlvesJ L, MenezesL F. Influence of process parameters on the deep drawing of stainless steel [J]. Finite Elements in Analysis and Design, 2007, 43(14): 1062-1067

[19]

PadmanabhanR, OliveiraM C, AlvesJ L, MenezesL F. Stochastic analysis of a deep drawing process using finite element simulations [J]. International Journal of Material Forming, 2009, 2(1): 347-350

[20]

ColganM, MonaghanJ. Deep drawing process: Analysis and experiment [J]. Journal of Materials Processing Technology, 2003, 132(1): 35-41

[21]

BrowneM T, HilleryM T. Optimising the variables when deep-drawing C.R.I cups [J]. Journal of Materials Processing Technology, 2003, 136(1): 64-71

[22]

JaisinghA, NarasimhanK, DateP P, MaitiS K, SinghU P. Sensitivity analysis of a deep drawing process for miniaturized products [J]. Journal of Materials Processing Technology, 2004, 147(3): 321-327

[23]

LiY-y, HuC-rongExperiment design and data processing [M], 2005, Beijing, Chemical Industry Press: 124-145

[24]

PalanivelR, MathewsP K, MuruganN. Optimization of process parameters to maximize ultimate tensile strength of friction stir welded dissimilar aluminum alloys using response surface methodology [J]. Journal of Central South University, 2013, 20(11): 2929-2938

[25]

PalanivelR, MathewsP K. Prediction and optimization of process parameter of friction stir welded AA5083-H111 aluminum alloy using response surface methodology [J]. Journal of Central South University, 2012, 19(1): 1-8

[26]

ParkS H. Robust design and analysis for quality engineering [M]. London: Chapman & Hall, 1996349-350

[27]

MengQ-leiResearch on hot stamping process of AA6111 [D], 2011, Beijing, University of Science and Technology Beijng

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