Application of TOPSIS Optimization in Abrasive Water Jet Machining of Military Grade Armor Steel

Rammohan, S.; Kumaran, S. Thirumalai; Uthayakumar, M.; Velayudham, A.

doi:10.1007/s41314-021-00039-4

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…For the most part, conventionally machined materials have a homogeneous surface finish. Using grey relation analysis to normalise performance evaluation of varied answers is extensively used, and it has been developed to cope with the complicated aspects of specific work systems [12]. It was possible for the researchers to learn more about the machinability of aluminium alloys by optimising the experimental settings and adjusting the influence of parameter variables such as transverse speed, stand-off distance, and abrasive feed, on the abrasive water jet cutting process on aluminium alloys.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization of Abrasive Water Jet Cutting on AA 5083 through Multiobjective Teaching-Learning Method

Reddy

Logesh

Alagarsamy³

et al. 2022

Advances in Materials Science and Engineering

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The industrial sector is seeing an increase in the development of new technologies on a daily basis. Manufacturing advancements have resulted in low-intensity, inadequate outputs from cutting materials. The application of engineering materials requires cutting to produce the desired shapes and sizes. The material’s fundamental attributes are altered and utilised to improve machinability. Due to its significant benefits over traditional cutting processes, abrasive water jet cutting (AWJC) is now the most popular nonconventional machining for attaining the best cutting of any material. Because of its highly pressurised water power, the substance can quickly be separated from some properties by the use of a small pin with various kinds of abrasives. Due to the time-consuming process of cutting materials, determining optimal cutting conditions for the multiobjective criteria examined is a tough issue in techniques needing large resources. The operational parameters of the abrasive water jet cutting system must be changed in this article to achieve the lowest possible surface roughness while also attaining the maximum possible material removal rate. The abrasive water jet cutting method was utilised in this investigation to see how effectively the AA5083 aluminium alloy could be sliced. Water pressure, transverse speed, stand-off distance, and abrasive flow rate are some of the major cutting parameters that may be adjusted such that the output values such as material removal rate and surface roughness are at their optimal levels.

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Section: Introductionmentioning

confidence: 99%

Parametric Optimization of Abrasive Water Jet Cutting on AA 5083 through Multiobjective Teaching-Learning Method

Reddy

Logesh

Alagarsamy³

et al. 2022

Advances in Materials Science and Engineering

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“…Another MCDA method widely used in military problems is the Technique for Order Preferences by Similarity To Ideal Solution (TOPSIS), as noted in the classification of the threat of military targets (Zhang et al, 2012); risk management for obsolescence in the U.S. Armed Forces (Adetunji et al, 2018); target-tracked prioritization to surveille ballistic missiles (Luo & Li, 2009); evaluating initial training aircraft (Wang & Chang, 2007), abrasive Water Jet machining of military-grade armor steel (Rammohan et al, 2021), method of air force attack airline (Chen & Zhang, 2016); scheduling algorithm based on heterogeneity and confidence for mimic defense (Zhang et al, 2020); resource allocation to military countermeasures versus probabilistic threat (Wan et al, 2018); supplier selection and evaluation in military supply chain and order allocation (Nazeri et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Bibliometric Studies on Multi-Criteria Decision Analysis (Mcda) Methods Applied in Military Problems

Costa

Sanseverino

et al. 2022

Pesqui. Oper.

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Military issues have great relevance worldwide since they affect the security and sovereignty of nations. In this context, the application of Multicriteria Decision Analysis (MCDA) methods is important because accurate decision-making is the deciding factor for success, which can reduce expenses and increase defense capacity. This paper aims to present a literature review on the main applications of MCDA in the military area, considering the tactical, operational and strategic spheres. The methodology includes a bibliometric study and literature review of documents from the Scopus and Web of Science databases. The bibliometric study identified the document type, language, year of publication, authors, author network, author's publications, affiliation, keyword clusters, the field of knowledge, country and the main applied MCDA methods in military problems. The literature review allows us to verify that, as well as in other areas of knowledge, the Analytic Hierarchy Process (AHP) is the most applied MCDA method in the military area.

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“…The dimensional analysis was used to determine the relationship between the performance measure MRR and the parameters. MRR = f (JT, SOD, P, AF, ρ, C p , K, MT, H v ) (7) The "n" variables are represented as (n − p) non-dimensional groups of the variables, referred to as "π" groups using this approach. This dimensional analysis method is based on Buckingham's π-theorem.…”

Section: Experimental and Modeling Of Mrrmentioning

confidence: 99%

“…Due to their high hardness and strength, these steels cannot be turned or milled. This research attempted to cut RHA steel using an unconventional machining method called abrasive waterjet machining (AWJM) [6,7]. Due to the constraint of traditional methods, non-conventional methods are used for material removal.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Abrasive Waterjet Machining Parameters of Military-Grade Armor Steel by Semi-Empirical and Regression Models

et al. 2022

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Rolled homogeneous armor steel (RHA) with a high tensile strength, toughness, and hardness is often used in military combat vehicles. RHA is a high-strength low alloy steel suitable for all battlefield usage in military vehicles. The present work examines the prediction output responses in the material removal rate (MRR), surface roughness (Ra), and kerf angle (Ka) for the AWJM of armor steel using regression and semi-empirical models. The AWJM trials were performed using an L27 factorial design with each process variable set to three levels, namely, the standoff distance (SOD), jet traversing speed (JT), and jet water pressure (P). A regression model was constructed using the response surface method (RSM) and data from the trials. Through dimensional analysis and with Buckingham’s π-theorem, a semi-empirical model was built using both the experimental data and material property data. Predictions made by the models were proportionate with the results of the experiments under the same conditions. Microscopic investigations on MRR and Ra were performed using a scanning electron microscope (SEM). The optimal values of the output responses of the machined armor steel plate were obtained with higher MRR = 298.92 mm3/min, lower Ka = 0.651°, and lower Ra = 2.23 µm. The present work established that semi-empirical models accurately predict the output responses in the AWJM of armor steel.

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Application of TOPSIS Optimization in Abrasive Water Jet Machining of Military Grade Armor Steel

Cited by 6 publications

References 25 publications

Parametric Optimization of Abrasive Water Jet Cutting on AA 5083 through Multiobjective Teaching-Learning Method

Parametric Optimization of Abrasive Water Jet Cutting on AA 5083 through Multiobjective Teaching-Learning Method

Bibliometric Studies on Multi-Criteria Decision Analysis (Mcda) Methods Applied in Military Problems

Prediction of Abrasive Waterjet Machining Parameters of Military-Grade Armor Steel by Semi-Empirical and Regression Models

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