Incremental sheet forming is a specific group of sheet forming methods that enable the manufacture of complex parts utilizing computer numerical control instead of specialized tools. It is an incredibly adaptable operation that involves minimal usage of sophisticated tools, dies, and forming presses. Besides its main application in the field of rapid prototyping, incremental sheet forming processes can be used for the manufacture of unique parts in small batches. The goal of this study is to broaden the knowledge of the deformation process in single-point incremental forming. This work studies the deformation behavior in single-point incremental forming by experimentally investigating the principal stresses, principal strains, and thinning of single-point incremental forming products. Conical-shaped components are fabricated using AA1050-H14 aluminum alloy at various combinations of fundamental variables. The factorial design is employed to plan the experimental study and analysis of variance is conducted to analyze the results. The grey relational analysis approach coupled with entropy weights is also implemented to identify optimum process variables for single-point incremental forming. The results show that the tool diameter has the greatest effect on the thinning of the SPIF product, followed by the sheet thickness, step size, and feed rate.
AmbrogioGFiliceL.,
On the use of Back-drawing Incremental Forming (BIF) to improve geometrical accuracy in sheet metal parts. Int J Mater Forming2012;
5: 269–274.
2.
JeswietJMicariFHirtG, et al.
Asymmetric single point incremental forming of sheet metal. CIRP Ann-Manuf Technol2005;
54: 88–114.
3.
AmbrogioGDe NapoliLFiliceL, et al.
Application of Incremental Forming process for high customised medical product manufacturing. J Mater Process Technol2005;
162: 156–162.
4.
OleksikVPascuADeacC, et al. The influence of geometrical parameters on the incremental forming process for knee implants analyzed by numerical simulation. In: NUMIFORM 2010, 2010, pp. 1208–1215.
5.
AttanasioACerettiEGiardiniC, et al.
Asymmetric two points incremental forming: improving surface quality and geometric accuracy by tool path optimization. J Mater Process Technol2008;
197: 59–67.
6.
IsekiH.; KatoK.; SakamotoS., Flexible and incremental sheet metal forming using a spherical roller. In: Proceedings of 40th JJCTP, Japan, vol. 41, 1989, p. 44.
7.
Al-ShayeaADabwanARagabAE, et al.
Studying the effect of process parameters on part depth in single point incremental forming of AA1050-H14 aluminum alloy sheets. Tehnički vjesnik2019;
26: 1606–1613.
8.
HussainGGaoL.A novel method to test the thinning limits of sheet metals in negative incremental forming. Int J Mach Tools Manuf2007;
47: 419–435.
9.
SilvaMSkjødtMMartinsPA, et al.
Revisiting the fundamentals of single point incremental forming by means of membrane analysis. Int J Mach Tools Manuf2008;
48: 73–83.
10.
CentenoGBagudanchIMartínez-DonaireA, et al.
Critical analysis of necking and fracture limit strains and forming forces in single-point incremental forming. Mater Des2014;
63: 20–29.
11.
EyckensPBelkassemBHenrardC, et al.
Strain evolution in the single point incremental forming process: digital image correlation measurement and finite element prediction. Int J Mater Forming2011;
4: 55–71.
12.
HaganEJeswietJ.A review of conventional and modern single-point sheet metal forming methods. Proc IMechE, Part B: J Engineering Manufacture2003;
217: 213–225.
13.
DabwanARagabASalehM, et al. Determining the effect of key process parameters on forming force of single point incremental sheet metal forming. In: International conference on industrial engineering and operations management, Malaysia, 2016, pp. 2833–2840.
14.
AlsamhanARagabAEDabwanA, et al.
Prediction of formation force during single-point incremental sheet metal forming using artificial intelligence techniques.PloS One2019;
14: e0221341.
15.
AmbrogioGCostantinoIDe NapoliL, et al.
Influence of some relevant process parameters on the dimensional accuracy in incremental forming: a numerical and experimental investigation. J Mater Process Technol2004;
153: 501–507.
16.
DabwanARagabAESalehMA, et al.
Study of the effect of process parameters on surface profile accuracy in single-point incremental sheet forming of AA1050-H14 aluminum alloy. Adv Mater Sci Eng2020;
2020: Article ID 7265941..
17.
YangMYaoZLiY, et al. Study on thickness thinning ratio of the forming parts in single point incremental forming process. Adv Mater Sci Eng 2018; 2018: Article ID 2927189.
18.
EyckensPVan BaelAVan HoutteP.Marciniak–Kuczynski type modelling of the effect of through-thickness shear on the forming limits of sheet metal. Int J Plast2009;
25: 2249–2268.
19.
AllwoodJShoulerDTekkayaAE.The increased forming limits of incremental sheet forming processes. Key Eng Mater2007;
344: 621–628.
20.
SilvaMSkjødtMAtkinsA, et al.
Single‐point incremental forming and formability—failure diagrams. J Strain Anal Eng Des2008;
43: 15–35.
21.
SilvaMMartinsP.Two-point incremental forming with partial die: theory and experimentation. J Mater Eng Perform2013;
22: 1018–1027.
22.
SilvaMBNielsenPSBayN, et al.
Failure mechanisms in single-point incremental forming of metals. Int J Adv Manuf Technol2011;
56: 893–903.
23.
CristinoVMontanariLSilvaM, et al.
Fracture in hole-flanging produced by single point incremental forming. Int J Mech Sci2014;
83: 146–154.
24.
KimYParkJ.Effect of process parameters on formability in incremental forming of sheet metal. J Mater Process Technol2002;
130: 42–46.
25.
BagudanchIGarcia-RomeuMCentenoG, et al.
Forming force and temperature effects on single point incremental forming of polyvinylchloride. J Mater Process Technol2015;
219: 221–229.
26.
LuBFangYXuD, et al.
Mechanism investigation of friction-related effects in single point incremental forming using a developed oblique roller-ball tool. Int J Mach Tools Manuf2014;
85: 14–29.
27.
MugendiranVGnanavelbabuARamadossR.Parameter optimization for surface roughness and wall thickness on AA5052 Aluminium alloy by incremental forming using response surface methodology. Procedia Eng2014;
97: 1991–2000.
28.
KurraSRahmanNHRegallaSP, et al.
Modeling and optimization of surface roughness in single point incremental forming process. J Mater Res Technol2015;
4: 304–313.
29.
HussainGLinGHayatN.Improving profile accuracy in SPIF process through statistical optimization of forming parameters. J Mech Sci Technol2011;
25: 177–182.
30.
AmbrogioGCozzaVFiliceL, et al.
An analytical model for improving precision in single point incremental forming. J Mater Process Technol2007;
191: 92–95.
31.
HoaglinDCWelschRE.The hat matrix in regression and ANOVA.Am Stat1978;
32: 17–22.
32.
MartinsPMontanariLCristinoV, et al. Formability and simulative tests in modern sheet metal forming education. In: Modern mechanical engineering. New York: Springer, 2014, pp. 411–447.
33.
FMTI_SYSTEMS(a), Grid Analyzer for Sheet Metal Industry. 2007.
RaoRYadavaV.Multi-objective optimization of Nd: YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement. Optics Laser Technol2009;
41: 922–930.
36.
WeiG.Grey relational analysis model for dynamic hybrid multiple attribute decision making.Knowl-Based Syst2011;
24: 672–679.
37.
ErtuğrulİÖztaşTÖzçilA, et al. Grey relational analysis approach in academic performance comparison of university: a case study of Turkish universities. Eur Scient J2016; 12.
38.
ShahAAzmiAKhalilA. Grey relational analyses for multi-objective optimization of turning S45C Carbon Steel. In: IOP conference series materials science and engineering, Malaysia, 2016.
39.
PrakashKSGopalPKarthikS.Multi-objective optimization using Taguchi based grey relational analysis in turning of rock dust reinforced aluminum MMC. Measurement2020;
2020: Article ID 107664.
40.
LotfiFHFallahnejadR.Imprecise Shannon’s entropy and multi attribute decision making. Entropy2010;
12: 53–62.
41.
LiXWangKLiuL, et al.
Application of the entropy weight and TOPSIS method in safety evaluation of coal mines. Procedia Eng2011;
26: 2085–2091.
42.
MartinsPBayNSkjødtM, et al.
Theory of single point incremental forming. CIRP Ann-Manuf Technol2008;
57: 247–252.
43.
JulongD.Introduction to grey system theory.J Grey Syst1989;
1: 1–24.
