Evidence map›Paper›PMID 39572601›Full record

ArticleScientific reports2024

Machining performance, economic and environmental analyses and multi-criteria optimization of electric discharge machining for SS310 alloy.

Abdul Hannan, Shahid Mehmood, Muhammad Asad Ali, Muhammad Huzaifa Raza, Muhammad Umar Farooq, Saqib Anwar, Adeolu A Adediran

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Abdul HannanDepartment of Mechanical Engineering, University of Engineering and Technology, Taxila, 47080, Pakistan.
Shahid MehmoodDepartment of Mechanical Engineering, University of Engineering and Technology, Taxila, 47080, Pakistan.
Muhammad Asad AliDepartment of Industrial and Manufacturing Engineering, Faculty of Mechanical Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan.
Muhammad Huzaifa RazaDepartment of Data and Systems Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Muhammad Umar FarooqThe Sargent Centre for Process Systems Engineering, University College London, Torrington Place, London, WC1E 7JE, UK. umarmuf0@gmail.com.ORCID http://orcid.org/0000-0003-4139-2082
Saqib AnwarIndustrial Engineering Department, College of Engineering, King Saud University, 11421, Riyadh, Saudi Arabia.
Adeolu A AdediranDepartment of Mechanical Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria. dladesoji@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the expansion of the manufacturing sector, it has become crucial to incorporate sustainable production methods in order to remain competitive in the market. This study focuses on addressing the needs of the manufacturing industry by conducting a sustainability analysis of electric discharge machining for SS310 alloy. The analysis explores the impact of various electrode materials, for instance, copper and brass, as well as different machining variables, including discharge current (I = 4-12 A), spark gap (SG = 6-12 mu), pulse duration (Pon = 15-45 μs), and duty cycle (DC = 75-85%) using Taguchi method. The objective is to optimize the machining performance measures, which includes material removal rate (MRR), surface roughness (Ra), electrode wear (EW), and energy consumption (EC). In addition, the economic analysis of the machining process takes into account factors such as energy cost, dielectric consumption cost, EW cost, labor cost, and machine depreciation cost for both types of electrodes. Furthermore, the study investigates the carbon emissions resulting from EC, dielectric consumption, and EW to assess the environmental impact of the machining process. Multi-criteria decision-making approach is employed to assess the sustainability of the machining process by taking into account several performance, cost and environmental factors simultaneously. From empirical analysis, it has been observed that the copper electrode outperformed the brass electrode in terms of MRR (2.67 mm

Indexed as

Carbon emissionsCost analysisElectric discharge machiningEnergy consumptionEnvironmental impactSustainable machining

Identifiers

PMID39572601
PMCPMC11582806

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.