Selection of optimal hot extrusion process parameters for AA6061using hybrid MCDM technique

Jajimoggala, Sarojini; Krishna, N. Murali; Kamaluddin, Syed

doi:10.1016/j.matpr.2019.06.302

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Some of the MCDM methods are TOPSIS (Alao et al, 2020; Gupta, 2018; Han & Trimi, 2018; Sagnak et al, 2021; Sakthivel et al, 2015), PROMETHEE (Kilic et al, 2015; Ishizaka & Resce, 2021), VIKOR (Sakthivel et al, 2015; N. Li & Zhao, 2016; Suganthi, 2018), analytic hierarchy process (AHP) (Al Sawaf & Karaca, 2018; Suganthi, 2018), COPRAS (Zarbakhshnia et al, 2018), analytic network process (ANP) (Kilic et al, 2015; Sakthivel et al, 2015), DEMATEL (Gardas et al, 2018; Torbacki & Kijewska, 2019), best–worst method (BWM) (Gupta, 2018; Sagnak et al, 2021), ELECTRE (Chen et al, 2019), gray relationship analysis (GRA) (N. Li & Zhao, 2016), and DEA (Basso et al, 2018; Suganthi, 2018). Human judgments, on the other hand, are frequently marked by ambiguous terms such as “significant degree,” “extremely,” “very strongly,” “strongly,” “moderately,” and “equally” (Jajimoggala et al, 2019). As a result, Zadeh (1965) introduced the fuzzy set theory.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Circularity assessment of logistics activities for green business performance management

2023

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The population of the world is increasing, and product demand is increasing, making a linear economy ineffective, and therefore, this situation makes the circular economy (CE) a requirement. Economic, social, and environmental factors all play a role in the CE. Also, logistics activities are critical parts of the CE. Hence, this study's goal is to create a framework for evaluating organizations' CE logistics performance. The main contribution of the study is the creation of a framework to assess the circularity performance, including various logistics activities, and measure the performance of logistics activities. To establish a list of criteria, 30 experts were interviewed. The criteria were ranked using fuzzy statements. The selected multi‐criteria decision‐making (MCDM) method, data envelopment analysis, is applied using IBM ILOG CPLEX Optimization Studio version 20.1.0.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Circularity assessment of logistics activities for green business performance management

2023

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Optimal Parameters Selection in Advanced Multi-Metallic Co-Extrusion Based on Independent MCDM Analytical Approaches and Numerical Simulation

2022

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Multi-material co-extrusion is a complex thermo-mechanical forming process used to obtain bimetallic billets. Its complexity is due to the combination of diffusion phenomena in the interface of both materials together with the high temperature and pressure generated and the different flow stress characteristics created by the joining of dissimilar materials. Accordingly, the selection of optimal process parameters becomes key to ensure process feasibility. In this work, a comparison among different multi-criteria decision making (MCDM) methodologies, together with different weighting methods, were applied to the simulation results by using DEFORM3D© software to select the optimal combination of process parameters to fulfil the criteria of minimum damage, extrusion force, and tool wear, together with the maximum reduction in the average grain size.

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Selection of Best Suitable Eco-Friendly Refrigerants for HVAC Sector and Renewable Energy Devices

et al. 2022

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This paper investigates the selection of the best suitable eco-friendly organic and in-organic refrigerants for heating, ventilation, and air conditioning (HVAC) and renewable energy devices. Inorganic and organic refrigerants are used to cool renewable energy devices, such as solar cells, photovoltaics, and electronic devices. Owing to the renewable energy community’s importance, development in this area has rapidly improved over the past few years. R134a, R404, and R717 have become the most used refrigerants in the HVAC sector and supermarkets across the globe for both cooling and frozen food refrigeration. R134a and R404A have two significant drawbacks: (a) they do not attain optimal energy efficiency in many applications, and (b) they have a large global warming potential (GWP). Hence, optimization experiments were performed to select low global potential refrigerants for replacing R134a and R404A from the HVAC sector and supermarkets using multi-criteria making (MCDN) tools. The techniques used for investigation involved (i) the technique for order of preference by similarity to ideal solution (TOPSIS), (ii) evaluation based on distance from average solution (EDAS), and (iii) multi-objective optimization based on ratio analysis (MOORA). The assessment criteria of optimization involved (i) thermo–physical properties of refrigerants, (ii) environmental aspects of refrigerants, and (iii) economic status of refrigerants. Out of 27 refrigerants chosen for the study, R290 (PROPANE) aced the selection by all the three techniques, i.e., TOPSIS, EDAS, and MOORA, with assessment scores of 0.6056, 0.6761, and 0.466, respectively. R41 (FLUOROMETHANE) is the least preferred refrigerant by EDAS (assessment score—0.3967) and MOORA, while R407C is the least preferred by TOPSIS (assessment value—0.5123). The likelihood of making a bad refrigerant decision may be reduced by the effective evaluation of the MCDM analysis. In conclusion, the suggested MCDM technique provides a practical tool and systematic way for reducing the number of options and may be utilized to identify the ideal refrigerant.

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Selection of optimal hot extrusion process parameters for AA6061using hybrid MCDM technique

Cited by 3 publications

References 15 publications

Circularity assessment of logistics activities for green business performance management

Circularity assessment of logistics activities for green business performance management

Optimal Parameters Selection in Advanced Multi-Metallic Co-Extrusion Based on Independent MCDM Analytical Approaches and Numerical Simulation

Selection of Best Suitable Eco-Friendly Refrigerants for HVAC Sector and Renewable Energy Devices

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