Evidence map›Paper›PMID 36938438›Full record

ArticleHeliyon2023

Performance investigations for sustainability assessment of Hastelloy C-276 under different machining environments.

Gurpreet Singh, Vivek Aggarwal, Sehijpal Singh, Balkar Singh, Shubham Sharma, Jujhar Singh, Changhe Li, Grzegorz Królczyk, Abhinav Kumar, Sayed M Eldin

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Gurpreet SinghDepartment of Mechanical Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, India.
Vivek AggarwalDepartment of Mechanical Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, India.
Sehijpal SinghDepartment of Mechanical Engineering, G.N.D.E.C, Ludhiana, Punjab, India.
Balkar SinghDepartment of Mechanical Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, India.
Shubham SharmaMechanical Engineering Department, University Center for Research and Development, Chandigarh University, Mohali, Punjab, India.
Jujhar SinghDepartment of Mechanical Engineering, IK Gujral Punjab Technical University, Kapurthala, Punjab, India.
Changhe LiSchool of Mechanical and Automotive Engineering, Qingdao University of Technology, 266520, Qingdao, China.
Grzegorz KrólczykDepartment of Manufacturing and Materials Engineering, Faculty of Mechanical Engineering, Opole University of Technology, Mikolajczyka 5, 45-271 Opole, Poland.
Abhinav KumarDepartment of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia, Boris Yeltsin, 19 Mira Street, 620002 Ekaterinburg, Russia.
Sayed M EldinCenter of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hastelloy is categorized as difficult to cut superalloy widely used in aerospace, nuclear reactor components and chemical industry because of its magnificent strength and higher heat efficiency. Since, the machining of this material is quite difficult and hence suitable cooling systems are required to achieve sustainable manufacturing goals. The present investigation has been focused on the machining performance and sustainability assessment of turning Hastelloy C-276 in dry, flood and minimum quantity lubrication (MQL) environments. Taguchi L-9 array has been utilized to conduct and record the experimental output along with TOPSIS approach to evaluate the sustainability. The output responses viz. cutting forces, surface roughness, cutting temperature, energy consumption and carbon emission have been recorded at various levels of input variables. The experimental results revealed that MQL has minimized the cutting forces, surface roughness and temperature by margin of 20-38%. Likewise, energy expenditure and carbon emission was declined by 9-27% respectively compared to other conditions. Sustainability analysis explored best performance index during equal weightage criteria at 125 m/min, 0.246 and 0.8 mm doc under MQL. However, implementing assigned weightage system evaluated best condition for dry machining as 88 m/min and 0.246 mm/rev having same doc. SEM analysis of insert reported mainly abrasion and adhesion type of tool wear at all parametric range and machining conditions.

Indexed as

Hastelloy C-276Minimum quantity lubrication (MQL)SEMSustainable machiningTaguchi L-9 arrayTOPSIS

Identifiers

PMID36938438
PMCPMC10018482

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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.