Non-traditional machining processes selection and evaluation: A rough multi-attributive border approximation area comparison approach

Chakraborty, Shankar; Dandge, Shruti Sudhakar; Agarwal, Subham

doi:10.1016/j.cie.2019.106201

Cited by 25 publications

(15 citation statements)

References 23 publications

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“…In the NTM process, several forms of energies are used to remove the unwanted material from the work piece surface [1]. Among NTM processes, electrical discharge machining is widely used in the several industrial applications due its precision and quite economic cost [2]. In which very hard materials such as tungsten carbide and titanium carbide can be machined by supplying the series of electric spark between the tool electrode and workpiece in order to attain the good machining characteristics [3].…”

Section: Introductionmentioning

confidence: 99%

Effect of sintered electrode on microhardness and microstructure in electro discharge deposition of magnesium alloy

Elaiyarasan

Satheeshkumar²,

Senthilkumar³

2020

Journal of the Mechanical Behavior of Materials

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In this study, an endeavour have been made to depositing the electrode materials over the surface of the magnesium alloy using electrical discharge machining (EDM) with WC-Cu powder compacted sintered electrode. Various process parameters such as compaction load, discharge current and pulse on time are selected to carry out the experiment in order to attain the maximum material migration rate (MMR) or deposition rate and microhardness (MH). It was concluded that the MMR and MH increased with increase in discharge current and pulse on time at low compacted electrode but it is decreased at lower discharge current and pulse on time. Highest MMR and MH were attained successfully at partial sintered low compaction load electrode. Microstructure evaluation has been carried out on deposited surface using scanning electron microscopy (SEM) and presence of electrode element in the deposited surface was confirmed by energy dispersive spectroscopy (EDS). Defects mechanism such as globules and craters are formed during EDC with high current and pulse on time respectively, which diminishes the surface roughness. It was observed that the compaction load is the influence parameter on the MMR and MH.

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Section: Introductionmentioning

confidence: 99%

Effect of sintered electrode on microhardness and microstructure in electro discharge deposition of magnesium alloy

Elaiyarasan

Satheeshkumar²,

Senthilkumar³

2020

Journal of the Mechanical Behavior of Materials

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“…Step 5: Construct the difference matrix N. (11) where n ij are the elements of the difference matrix N, θ j n ( = 1, 2, …, ) j are the indifference thresholds of audit elements AE j that can be set by experts.…”

Section: Calculate the Weights Of Audit Elementsmentioning

confidence: 99%

“…4,5 The MABAC has a straightforward computational procedure, and a sound logic that displays the foundation of rational decision-making. 6,7 Because of its merits, the MABAC method has been extended and used to handle lots of realistic decision-making problems, such as medical treatment service matching, 8 failure mode and effect analysis, 5 supplier evaluation and selection, 9 university web pages evaluation, 7 public evaluation of shared bicycles, 10 nontraditional machining processes selection, 11 and material selection. 12 Therefore, it is natural to utilize the MABAC method to manage the UTAE problems involving comprehensive audit elements.…”

Section: Introductionmentioning

confidence: 99%

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Gong

Luo

et al. 2020

Int J Intell Syst

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Undergraduate teaching audit and evaluation (UTAE) is a new type of evaluation pattern, which is extremely important for a university to improve its quality assurance system and enhance teaching quality. Selecting an optimal university for benchmarking through UTAE to promote the quality of teaching can be regarded as a complex multicriteria decision making (MCDM) problem. Furthermore, in the process of UTAE, experts' evaluations over the teaching quality of universities are often imprecise and fuzzy due to the subjective nature of human thinking. In this paper, we propose a new UTAE approach based on q-rung orthopair fuzzy sets and the multiattribute border approximation area comparison (MABAC) method for evaluating and selecting the best university for benchmarking. The introduced method deals with the linguistic assessments given by experts by using q-ROFSs, assigns the weights of audit elements based on the indifference threshold-based attribute ratio analysis method, and acquires the ranking of universities with an extended MABAC method. The feasibility and effectiveness of the proposed q-rung orthopair fuzzy MABAC method is demonstrated through a realistic UTAE example. Results show that the UTAE method being proposed is valid and practical for UTAE.

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“…Talib and Asjad (2019) developed a model using AHP method for prioritizing as well as ranking of various NTM processes based on 27 evaluation criteria. Chakraborty et al (2020) integrated rough numbers with MABAC method to identify the most feasible NTM processes for generation of standard through holes in glass and deep through cavities in titanium work materials. Based on firefly algorithm, Singh & Shukla (2020) developed a graphical user interface for selecting the optimal input parameters for electrochemical machining, electrochemical micro-machining and electrochemical turning processes.…”

Section: Introductionmentioning

confidence: 99%

Development of an intelligent decision model for non-traditional machining processes

Chakraborty

Kumar

2021

Decis. Mak. Appl. Manag. Eng.

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In order to fulfil the ever increasing requirements of various hard and difficult-to-machine materials in automobile, turbine, nuclear, aviation, tool and die making industries, the conventional material removal processes are now being continuously substituted by an array of non-traditional machining (NTM) processes. The efficient and improved capabilities of these NTM processes have made them indispensible for the present day manufacturing industries. While deploying a particular NTM process for a specific machining application, the concerned process engineer must be aware of its capability which is influenced by a large number of controllable parameters. In this paper, an intelligent decision model is designed and developed in VBASIC to guide the concerned process engineer to have an idea about the values of various NTM process responses for a given parametric combination. It would also advise about the tentative settings of different NTM process parameters for achieving a set of target response values. The operational procedure of this developed system is demonstrated with the help of three real time examples.

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Non-traditional machining processes selection and evaluation: A rough multi-attributive border approximation area comparison approach

Cited by 25 publications

References 23 publications

Effect of sintered electrode on microhardness and microstructure in electro discharge deposition of magnesium alloy

Effect of sintered electrode on microhardness and microstructure in electro discharge deposition of magnesium alloy

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Development of an intelligent decision model for non-traditional machining processes

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