Experimental and Finite Element Analysis of Single Dimple Sheet for Stress Analysis

Waghmare, Govind; Arakerimath, R. R.

doi:10.15866/ireme.v11i10.13123

Cited by 1 publication

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“…Numerical simulations were used to optimize the forming depths (Liang et al ., 2017b). Multipoint dimpling process parameters and single dimple analysis were investigated through numerical simulation (Waghmare and Arakerimath, 2017, 2021). Lye (2005) explains the design of experiments (DOEs) as a framework for methodically using statistics in experimentation.…”

Section: Introductionmentioning

confidence: 99%

Multi-response optimization for a low-cost multi-dimpling process

Waghmare

Arakerimath²

2023

IJQRM

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PurposeThis study aims to identify the significant factors of the multi-dimpling process, determine the most influential parameters of multi-dimpling to increase the dimple sheet strength and make a low-cost model of the multi-dimpling for sheet metal industries. To create an empirical expression linking process performance to different input factors, the percentage contribution of these elements is also calculated.Design/methodology/approachTaguchi grey relational analysis is used to apply a new effective strategy to experimental data in order to optimize the dimpling process parameters while taking into account several performance factors and low-cost model. In addition, a statistical method called ANOVA is used to ensure that the results are adequate. The optimal process parameters that generate improved mechanical properties are determined via grey relational analysis (GRA). Every level of the process variables, a response table and a grey relational grade (GRG) has been established.FindingsThe factors created for experiment number 2 with 0.5 mm as the sheet thickness, 2 mm dimple diameter, 0.5 mm dimple depth, 8 mm dimples spacing and the material of SS 304 were allotted rank one, which belonged to the optimal parameter values giving the greatest value of GRG.Practical implicationsThe study demonstrates that the process parameters of any dimple sheet manufacturing industry can be optimized, and the effect of process parameters can be identified.Originality/valueThe proposed low-cost model is relatively economical and readily implementable to small- and large-scale industries using newly developed multi-dimpling multi-punch and die.

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Section: Introductionmentioning

confidence: 99%