Friction stir welding parameters optimization for tailored welded blank sheets of AA1100 with AA6061 dissimilar alloy using response surface methodology

Mallieswaran, K.; Padmanabhan, R.; Balasubramanian, V.

doi:10.1080/2374068x.2017.1410690

Cited by 28 publications

(18 citation statements)

References 13 publications

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“…RSM technique is a relationship between statistics and the mathematical modeling process [9]. RSM is used to evaluating the influence of the parameters on the output responses.…”

Section: Design Of Experimentsmentioning

confidence: 99%

“…RSM is used to evaluating the influence of the parameters on the output responses. Based on the literature review [8][9][10][11], the three most affecting process parameters are identified, such as shoulder diameter (SD), rotation speed (RS), and travel speed (TS). The output response, such as ultimate tensile strength (UTS), Yield strength (YS), total percentage elongation (TE), dome height (DH), and microhardness (µH) of FSWed joint of dissimilar aluminium alloy are a function of RS, SD, TS.…”

Section: Design Of Experimentsmentioning

confidence: 99%

“…RSM technique is used to optimized the welding parameter and to achieve maximum output such as UTS, YS, hardness, etc. [9][10][11]. In the limiting dome height test, the hemispherical punch of size Ø101.6 with die and blank holder with the locking bead is used.…”

Section: Introductionmentioning

confidence: 99%

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Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Kumar*,

Sharma

2020

IJITEE

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Tensile properties, microhardness, and formability of the tailor welded blank of AA5052-H32 and AA5083-O were investigated. To detect the influence of FSW parameters such as shoulder diameter (SD), rotational speed (RS), and travel speed (TS), a central composite design (CCD) was derived. The response surface methodology (RSM) technique is used to develop the mathematical model and optimization of multiple responses, i.e., ultimate tensile strength (UTS), Yield strength (YS), percentage elongation (TE), dome height (DH), and microhardness (µH). Analysis of variance (ANOVA) technique is used to validate the competency of the established model, and the regression equation is derived to predict the value of output responses. It is found that the welding parameter of FSW plays a significant role in fabricating the joint. It is observed that for the welded combination of AA5052-H32 and AA5083-O, the metallurgically defect-free and sound weld produced. The results are very much significant to a better understanding of the effect of the combination of SD, TS, RS to fabricate the FSW joint. The experimental and predicted result shows a good relationship with each other

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“…RSM technique is a relationship between statistics and the mathematical modeling process [9]. RSM is used to evaluating the influence of the parameters on the output responses.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Section: Design Of Experimentsmentioning

confidence: 99%

See 1 more Smart Citation

Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Kumar*,

Sharma

2020

IJITEE

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“…The quadratic model used to predict the optimal values is presented by the following equation:

Y = β_{0} + \sum_{i = 1}^{k} β_{i} x_{i} + \sum_{i}^{k} β_{ii} x_{{italicii}^{2}} + \sum_{i = 1}^{k - 1} \sum_{j = i + 1}^{k} β_{ij} x_{i} x_{j},

where Y is the response; β 0 is the constant coefficient; β i is the coefficient for linear; x i is the initial input parameters; β ii ( i = 1, 2, …, k) are the quadratic coefficients; and β ij ( i = 1, 2, …, k ; j = 1, 2, k ) are the coefficients that represent the interactions of x i and x j . The reaction performance can be predicted at different process conditions by this model …”

Section: Experimental Workmentioning

confidence: 99%

Optimisation of CH₄ and CO₂ conversion and selectivity of H₂ and CO for the dry reforming of methane by a microwave plasma technique using a Box–Behnken design

Alawi

Barifcani²,

Abid³

2018

Asia-Pacific J Chem Eng

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A microwave plasma was generated by N 2 gas. Synthesis gases (H 2 and CO) were produced by the interaction of CH 4 and CO 2 under plasma conditions at atmospheric pressure. The experimental pilot plant was set up, and the gases were sampled and analysed by gas chromatography-mass spectrometry. The Box-Behnken design (BBD) method was used to find the optimising conditions based on the experimental results. The response surface methodology based on a three-parameter and three-level BBD has been developed to find the effects of independent process parameters, which were represented by the gas flow rates of CH 4 , CO 2 , and N 2 and their effects on the process performance in terms of CH 4 , CO 2 , and N 2 conversion and selectivity of H 2 and CO. In this work, four models based on quadratic polynomial regression have been determined to understand the connection between the limits of the feed gas flow rate and the performance of the process.The results show that the most important factor influencing the CO 2 , CH 4 , and N 2 conversion and the selectivity of H 2 and CO was "CO 2 feed gas flow rate." At the maximum desirable value of 0.92, the optimum CH 4 , CO 2 , and N 2 conversion were 84.91%, 44.40%, and 3.37%, respectively, and the selectivities of H 2 and CO were 51.31% and 61.17%, respectively. This was achieved at a gas feed flow rate of 0.19, 0.38, and 1.49 L min −1 for CH 4 , CO 2 , and N 2 , respectively.

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“…The dissimilar materials can be dissimilar aluminum alloy [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21], or aluminum alloy to copper [22][23][24], aluminum alloy to stainless steel and steel [25][26], etc. At the condition of aluminum alloys, from previous studies, all the studies of the optimization of FSW parameters on similar or dissimilar joints of aluminum alloys (by Taguchi methods or full factorial design) investigate only two, three or four parameters [4,[7][8][10][11][14][15][16][17][18][19][20][21]. They studied the effect of two, three or four parameters from rotational speed, traverse speed, axial force, tilt angle and pin profile with neglecting the effect of the other FSW parameters.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimization of Friction Stir Welding Parameters for Joining Dissimilar Aluminum Alloys

et al. 2018

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The objectives of this work are to optimize the process parameters on the mechanical properties (ultimate tensile strength (UTS) and ductility) of dissimilar joints between AA5454 and AA7075 produced by friction stir welding and to determine which of them is significant by using Taguchi L16 optimization method. Seven parameters at two levels were selected in this study. The selected parameters are tool rotational speed, traverse speed, pin profile (based on taper angle), D/d ratio, tool tilt angle, plunge depth, and base metal location. Then, mathematical models are built as function of significant parameters/ interactions using Response Surface Methodology. The results of this work showed that the rotational speed, traverse speed, D/d ratio and plunge depth are significant parameters in determining UTS (Mean, Signal to noise ratio (S/N)) at different confidence levels, but pin profile, location of base metal and tool tilt angle are insignificant parameters at any confidence levels. The traverse speed has the highest contribution to the process for UTS about 18.577 % and 16.943 % for S/N ratio and mean, respectively. The accuracy of the models according to the UTS is 97.678 % and 99.56 %for mean and S/N ratio, respectively. The maximum joint efficiency, compared to the strength of the AA5454, is 85.3%.

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Friction stir welding parameters optimization for tailored welded blank sheets of AA1100 with AA6061 dissimilar alloy using response surface methodology

Cited by 28 publications

References 13 publications

Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Optimisation of CH₄ and CO₂ conversion and selectivity of H₂ and CO for the dry reforming of methane by a microwave plasma technique using a Box–Behnken design

Modeling and Optimization of Friction Stir Welding Parameters for Joining Dissimilar Aluminum Alloys

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Friction stir welding parameters optimization for tailored welded blank sheets of AA1100 with AA6061 dissimilar alloy using response surface methodology

Cited by 28 publications

References 13 publications

Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Multi Response Optimization of Parameters in F SW for Tailor Welded Blanks A A 5052 H32 and A A 5083 O u sing Response Surface Methodology

Optimisation of CH4 and CO2 conversion and selectivity of H2 and CO for the dry reforming of methane by a microwave plasma technique using a Box–Behnken design

Modeling and Optimization of Friction Stir Welding Parameters for Joining Dissimilar Aluminum Alloys

Contact Info

Product

Resources

About

Optimisation of CH₄ and CO₂ conversion and selectivity of H₂ and CO for the dry reforming of methane by a microwave plasma technique using a Box–Behnken design