Multi-objective optimization basing modified Taguchi method to arrive the optimal die design for CGP of AZ31 magnesium alloy

Anantha, Muni Tanuja; Buddi, Tanya; Boggarapu, Nageswara Rao

doi:10.1007/s12008-022-01176-6

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…For single-objective optimization problems, the Taguchi method is more appropriate (Mohamed et al, 2015). In the case of multiple responses optimization, the utility concept based on Taguchi is utilized (Tong et al, 1997;Gaitonde et al, 2009;Akin & Fedai, 2018;Lonavath & Boda, 2023;Anantha et al, 2023a). Applying Taguchi method concepts, a reliable multi-objective optimization technique has been used.…”

Section: Optimal Solutionmentioning

confidence: 99%

“…Post-deformation annealing and cryo-rolling of Al-Mg alloys undergoing the CGP process enhanced the strength, ductility, and fracture toughness (Tanuja et al, 2022;Khandani et al, 2020). To determine the optimal die geometry (like the angle of the groove, the width of the groove, and the friction coefficient), a modified Taguchi technique with the data from the elastoplastic finite element analysis was used (Anantha et al, 2023a;Anantha et al, 2023b;Sahiti et al, 2017). Engineering optimization problems are solved using the Taguchi technique (Siddesha & Shantharaja, 2014;Rao et al, 2008;Singaravelu et al, 2009;Parameshwaranpillai et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Optimal Constrained Groove Pressing Process Parameters Applying Modified Taguchi Technique and Multi-Objective Optimization

Anantha,

Koneru,

Pyatla

et al. 2024

JST

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Most engineering problems are complicated, and developing mathematical models for such problems requires understanding the phenomena through experiments. It is well known that as processing parameters with assigned levels increase, so does the number of experiments. By minimizing the number of experiments, Taguchi’s method of experimental design will help to furnish the idea of full factorial experimental design. Taguchi’s method is more appropriate for single-objective optimization problems and needs modifications while dealing with multi-objective optimization problems. Aluminum alloys are in great demand in today’s automotive and aerospace sectors due to their low density, good corrosion resistance, and excellent machinability. The material is subjected to a constrained groove pressing (CGP) process to obtain microstructural grain refinement with enhanced mechanical behavior. This paper considers AA6061 material having major alloys such as silicon and magnesium. For this work, 3 CGP process parameters (viz., displacement rate, plate thickness and number of passes) are assigned 3 levels to each parameter, acquired the test data, viz., grain size (gs), micro hardness (hs), and tensile strength (ult) based on L9 orthogonal array of Taguchi. Using a modified version of Taguchi’s methodology, it is possible to estimate the range of grain size (gs), micro hardness (hs), and tensile strength (σult) for effective combinations of the CGP processing parameters and validate the results with existing test data. A more dependable and simpler multi-objective optimization procedure is used to choose the optimal CGP processing parameters.

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Section: Optimal Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Constrained Groove Pressing Process Parameters Applying Modified Taguchi Technique and Multi-Objective Optimization

Anantha,

Koneru,

Pyatla

et al. 2024

JST

Self Cite

View full text Add to dashboard Cite

show abstract

“…The modified Taguchi approach has been extensively evaluated for its effectiveness (Anantha et al, 2023;Buddi et al, 2018a;Dharmendra et al, 2019;Koneru et al, 2022;Rajyalakshmi and Boggarapu, 2019;Satyanarayana et al, 2019Satyanarayana et al, , 2021, with a particular comparison made in (Rajyalakshmi and Nageswara Rao, 2019) against the optimal solutions obtained using a genetic algorithm (GA) and an ensemble of meta-models (EMs) (Zhou et al, 2018) as presented in (Chaudhry and Ahmed, 2014). Furthermore, Chaudhry and Ahmed (2014) introduced a spreadsheet-based GA method specifically designed for optimizing the initial design of aircraft.…”

Section: Mmms 201mentioning

confidence: 99%

Multi-objective optimization to specify optimal selective laser melting process parameters for SS316 L powder

Prasanth Kumar,

Boggarapu,

Narayana Murty

2023

MMMS

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PurposeThis paper adopts a modified Taguchi approach to develop empirical relationships to the performance characteristics (output responses) in terms of process variables and demonstrated their validity through comparison of test data. The method suggests a few tests as per the orthogonal array and provides complete information for all combinations of levels and process variables. This method also provides the estimated range of output responses so that the scatter in the repeated tests can be assessed prior to the tests.Design/methodology/approachIn order to obtain defect-free products meeting the required specifications, researchers have conducted extensive experiments using powder bed fusion (PBF) process measuring the performance indicators (namely, relative density, surface roughness and hardness) to specify a set of printing parameters (namely, laser power, scanning speed and hatch spacing). A simple and reliable multi-objective optimization method is considered in this paper for specifying a set of optimal process parameters with SS316 L powder. It was reported that test samples printed even with optimal set of input variables revealed irregular shaped, microscopic porosities and improper melt pool formation.FindingsFinally, based on detailed analysis, it is concluded that it is impossible to express the performance indicators, explicitly in terms of equivalent energy density (E_0ˆ*), which is a combination of multiple sets of selective laser melting (SLM) process parameters, with different performance indicators. Empirical relations for the performance indicators are developed in terms of SLM process parameters. Test data are within/close to the expected range.Practical implicationsBased on extensive analysis of the SS316 L data using modified Taguchi approach, the optimized process parameters are laser power = 298 W, scanning speed = 900 mm/s and hatch distance = 0.075 mm, for which the results of surface roughness = 2.77 Ra, relative density = 99.24%, hardness = 334 Hv and equivalent energy density is 4.062. The estimated data for the same are surface roughness is 3.733 Ra, relative density is 99.926%, hardness is 213.64 Hv and equivalent energy density is 3.677.Originality/valueEven though equivalent energy density represents the energy input to the process, the findings of this paper conclude that energy density should no longer be considered as a dependent process parameter, as it provides multiple results for the specified energy density. This aspect has been successfully demonstrated in this paper using test data.

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Simplified optimal design of NU202 cylindrical roller bearing and validation through GA

Koneru

Srinath

Boggarapu

et al. 2023

Int J Interact Des Manuf

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Multi-objective optimization basing modified Taguchi method to arrive the optimal die design for CGP of AZ31 magnesium alloy

Cited by 6 publications

References 38 publications

Optimal Constrained Groove Pressing Process Parameters Applying Modified Taguchi Technique and Multi-Objective Optimization

Optimal Constrained Groove Pressing Process Parameters Applying Modified Taguchi Technique and Multi-Objective Optimization

Multi-objective optimization to specify optimal selective laser melting process parameters for SS316 L powder

Simplified optimal design of NU202 cylindrical roller bearing and validation through GA

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