Experimental Investigation of Three-Roller Bending Operation for Multi-Pass Cylindrical Forming of Plates

Thakare, Prafull S.; Salodkar, Sandip M.; Handa, C. C.

doi:10.1016/j.matpr.2019.07.143

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…At the same time, holding time and squeeze time had less effect on the T-S strength. These results are consistent with previous studies conducted by [7], [8] and [27].…”

Section: Analysis Of Variant (Anova)supporting

confidence: 94%

“…It has been successfully implemented in the manufacturing processes such as welding, plastic injection, metal forming, and others. The Taguchi method was successfully implemented widely in industries such as the textile industry [24], the painting industry [25], the machining process [20], the concrete precast industry [26], metal forming [27]and others.…”

Section: Orthogonal Array (Oa)mentioning

confidence: 99%

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Optimal Tensile-Shear Strength of Galvanized/Mild Steel (Spcc-Sd) Dissimilar Resistance Spot Welding Using Taguchi Doe

Khoirudin

Mulyadi

et al. 2023

Jurnal Teknologi

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This paper demonstrates the optimization of resistance spot welding on different connections of galvanized steel sheets and low carbon steels. The zinc coating on galvanized steel sheets will have an effect to reduce the welding ability in the resistance welding process. The practical Taguchi experimental technics were used by implemented adequately to optimize input factors, namely squeezing time, welding current, welding time and holding time. Statistical software implemented an analysis of variance (ANOVA) and multilinear regression to investigate and evaluate the significant input factors and compare them with the experimental output factors of resistance spot welding. The 'signal to noise ratio' (S/N ratio) results shows that the welding time and the welding current are the most significant factors on the output. The delta values of welding time and welding current are 3.15 and 2.25, respectively. The ANOVA results showed that welding current and welding time are the most contributing factors by 23.5% and 51.4%, respectively. Taguchi recommends an optimal squeezing time of 20 cycles, a welding current of 27 kA, a welding time of 36 cycles, and a hold/cooling time of 15 cycles. The highest output reaches a tensile shear strength of 5762.04 N on the third iteration. The present research has successfully identified significant variable inputs for resistance spot welding, namely welding current and welding time. In the future, the relevant research may use our corresponding results to improve the RSW practical procedure for other significant impacts.

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“…At the same time, holding time and squeeze time had less effect on the T-S strength. These results are consistent with previous studies conducted by [7], [8] and [27].…”

Section: Analysis Of Variant (Anova)supporting

confidence: 94%

Section: Orthogonal Array (Oa)mentioning

confidence: 99%

Optimal Tensile-Shear Strength of Galvanized/Mild Steel (Spcc-Sd) Dissimilar Resistance Spot Welding Using Taguchi Doe

Khoirudin

Mulyadi

et al. 2023

Jurnal Teknologi

View full text Add to dashboard Cite

show abstract

“…The method employed was FE (Finite Element) simulation, and it was found that the efficient and precise bending process depended on the material's mechanical properties. This simply means that proper and accurate FE modeling and simulation strongly depended on understanding the modeling of the material's unique response at the time of loading [13]. It is important to note that the phenomenon that occurs in plate bending differs from pipe bending.…”

Section: Introductionmentioning

confidence: 99%

Spring-Back Analysis of the Vee Bending Process for High-Strength Stainless Steel

et al. 2023

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This study discussed the evaluation of bending process using high-strength SUS 304 (HS-SUS-304) material of high degree tolerances, and its application in a safe, strongbox, and strongroom protection system. This bending process is one of the several material-forming techniques widely used in the manufacturing industry. Moreover, incorrectly selected parameters such as the V-die punch radius, the angle of V-die bending, and the angle of machine parameters often leads to material failure and wrong final dimensions. The V-bending process was chosen for evaluation because it exhibits significant spring-back effect and has a wide range of industrial applications. The experimental method utilized HS-SUS 304 with a thickness of 3.0 mm that meets the ASTM A-240 requirement, and the input parameters used for V-die angle as well as tip punch radius were chosen in order to achieve the 90o ± 0.5o, and 50o ± 0.5o degrees of the workpieces. The V-die angle of 89o was selected with a tip punch radius of 1.0 mm and 1.2 mm. Furthermore, the spring-back effect was analyzed and evaluated to meet the standard angle requirement, and the results showed that the settings on the bending machine need to be adjusted to achieve angles within tolerances of degrees. It was observed that when the process bend angles on the machine was set at 93.75o and 52.83o with 1.0 mm V-dies tip punch radius, the spring-back factor results produce an average of 0.9609, 0.9618, and 0.9600. Meanwhile, this average increased to 0.9634, 0.9641, and 0.9655, by using 1.2 mm.

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Multi-graph attention temporal convolutional network-based radius prediction in three-roller bending of thin-walled parts

Zuo,

Zhang,

Lyu

et al. 2025

Advanced Engineering Informatics

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Experimental Investigation of Three-Roller Bending Operation for Multi-Pass Cylindrical Forming of Plates

Cited by 3 publications

References 14 publications

Optimal Tensile-Shear Strength of Galvanized/Mild Steel (Spcc-Sd) Dissimilar Resistance Spot Welding Using Taguchi Doe

Optimal Tensile-Shear Strength of Galvanized/Mild Steel (Spcc-Sd) Dissimilar Resistance Spot Welding Using Taguchi Doe

Spring-Back Analysis of the Vee Bending Process for High-Strength Stainless Steel

Multi-graph attention temporal convolutional network-based radius prediction in three-roller bending of thin-walled parts

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