Evidence map›Paper›PMID 36499941›Full record

ArticleMaterials (Basel, Switzerland)2022

Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions.

Shubrajit Bhaumik, Viorel Paleu, Dhrubajyoti Chowdhury, Adarsh Batham, Udit Sehgal, Basudev Bhattacharya, Chiradeep Ghosh, Shubhabrata Datta

Abstract read
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In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Shubrajit BhaumikTribology and Interactive Surface Research Laboratory (TRISUL), Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai 601103, India.ORCID 0000-0001-6803-4387
Viorel PaleuMechanical Engineering, Mechatronics and Robotics Department, Mechanical Engineering Faculty, "Gheorghe Asachi" Technical University of Iași, 63 D. Mangeron Blvd., 700050 Iași, Romania.ORCID 0000-0003-1763-204X
Dhrubajyoti ChowdhuryDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.
Adarsh BathamDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.
Udit SehgalDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.
Basudev BhattacharyaResearch and Development and Scientific Services, Tata Steel Limited, Jamshedpur 831001, India.
Chiradeep GhoshResearch and Development and Scientific Services, Tata Steel Limited, Jamshedpur 831001, India.
Shubhabrata DattaDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India.ORCID 0000-0002-7716-9205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work investigates the friction reduction capability of two types of micro-textures (grooves and dimples) created on steel surfaces using a vertical milling machine. The wear studies were conducted using a pin-on-disc tribometer, with the results indicating a better friction reduction capacity in the case of the dimple texture as compared to the grooved texture. The microscopic images of the pin surface revealed deep furrows and significant damage on the pin surfaces of the groove-textured disc. An optimization of the textured surfaces was performed using an artificial neural network (ANN) model, predicting the influence of the surface texture as a function of the load, depth of cut and distance between the micro-textures.

Indexed as

artificial neural networksfriction reductionmaterialsmicro-surface texturesoptimal designvertical milling machine

Identifiers

PMID36499941
PMCPMC9738694

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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.