Friction Stir Welding of Al-Mg Alloy Optimization of Process Parameters Using Taguchi Method

Vijayan, S.; Ramesh, R.; Subbaiah, K.; Sridhar, Narasi; Rao, Shrikantha S.

doi:10.1111/j.1747-1567.2009.00563.x

Cited by 27 publications

(13 citation statements)

References 19 publications

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“…The average mean and SN ratio values of all levels are calculated and listed in Tables 5 and 6. The larger SN Ratio corresponds to the better quality characteristics [18][19][20][21]. Based on mean and SN ratio values the optimal level setting is A 3 B 3 C 1 D 4 .…”

Section: Larger the Bettermentioning

confidence: 98%

“…Rotational speed of the tool (rpm). From the available literatures [16][17][18][19][20] the friction stir welding process parameters such as tool rotational speed, transverse speed, and tool geometry significantly influence the process and play a major role in deciding the quality of the weld. It is reported that defect free weld in dissimilar materials of AA5052 to AA2017 are obtained when the transverse speed and rotational speed are at 60 mm/min and 1000 rpm respectively.…”

Section: Fsw Parametersmentioning

confidence: 99%

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Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique

Koilraj

Sundareswaran

Vijayan³

et al. 2012

Materials & Design

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279

106

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Section: Larger the Bettermentioning

confidence: 98%

Section: Fsw Parametersmentioning

confidence: 99%

Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique

Koilraj

Sundareswaran

Vijayan³

et al. 2012

Materials & Design

Self Cite

279

106

View full text Add to dashboard Cite

“…Optimization of the stamp forming parameters with single objective function was carried out using the Taguchi's robust process design which helps reducing the effects of noise factors by determining the best levels for the control factors. Taguchi has designed three types of signal to noise ratios (S/N ratio), namely, larger-the-better, smaller-the-better and nominal-the-best on the basis of the nature of performance characteristics [28] .…”

Section: Single Response Optimizationmentioning

confidence: 99%

“…thickness strain response. Henceforth, the weights for the responses were assigned as given in Table 4 [28,33] . The grey relational coefficients of forming ratio and log.…”

Section: Multi-response Optimizationmentioning

confidence: 99%

Investigation on influence of stamp forming parameters on formability of thermoplastic composite

Suresh

Kumar

2018

Polímeros

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Advanced fabric reinforced polymer composites find extensive applications in aerospace and structural fields due to their high mechanical properties. A novel stamp forming technique finds extensive use in the hemispherical forming of thermoplastic composites. This study investigates the influence of stamp forming parameters on the formability of thermoplastic composite using Taguchi's robust design and grey relational analysis. Taguchi's orthogonal array was used for designing the forming experiments. Responses such as forming ratio and logarithmic thickness strain were considered for the assessment of sheet formability through single and multi-response optimization. Analysis of variance was used for the determination of the contribution of each parameter on formability and it was identified that the die temperature acts as a prominent factor, followed by blank holder force and blank temperature. The confirmation test was conducted at optimum parameter levels and the obtained experimental grade was seen within the confidence interval of the predicted value.

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“…The use of ultrasound has abridged experiments in cost, energy loss and time [24]. In addition to this, minimum trail numbers, obtaining the effect of process parameters on quality characteristics and their optimum levels have easily increased its popularity [29]. In addition to this, minimum trail numbers, obtaining the effect of process parameters on quality characteristics and their optimum levels have easily increased its popularity [29].…”

Section: Application Of the Taguchi Methodsmentioning

confidence: 99%

Optimization of cooling tower performance analysis using Taguchi method

Ramakrishnan

Ragupathy

2013

Therm sci

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This study discuss the application of Taguchi method in assessing maximum cooling tower effectiveness for the counter flow cooling tower using expanded wire mesh packing. The experiments were planned based on Taguchi’s L27 orthogonal array .The trail was performed under different inlet conditions of flow rate of water, air and water temperature. Signal-to-noise ratio (S/N) analysis, analysis of variance (ANOVA) and regression were carried out in order to determine the effects of process parameters on cooling tower effectiveness and to identity optimal factor settings. Finally confirmation tests verified this reliability of Taguchi method for optimization of counter flow cooling tower performance with sufficient accuracy

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Friction Stir Welding of Al-Mg Alloy Optimization of Process Parameters Using Taguchi Method

Cited by 27 publications

References 19 publications

Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique

Friction stir welding of dissimilar aluminum alloys AA2219 to AA5083 – Optimization of process parameters using Taguchi technique

Investigation on influence of stamp forming parameters on formability of thermoplastic composite

Optimization of cooling tower performance analysis using Taguchi method

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