Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions
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 cap...
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MDPI AG
2022-11-01
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Online Access: | https://www.mdpi.com/1996-1944/15/23/8445 |
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author | Shubrajit Bhaumik Viorel Paleu Dhrubajyoti Chowdhury Adarsh Batham Udit Sehgal Basudev Bhattacharya Chiradeep Ghosh Shubhabrata Datta |
author_facet | Shubrajit Bhaumik Viorel Paleu Dhrubajyoti Chowdhury Adarsh Batham Udit Sehgal Basudev Bhattacharya Chiradeep Ghosh Shubhabrata Datta |
author_sort | Shubrajit Bhaumik |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T17:43:05Z |
format | Article |
id | doaj.art-f2a6c03cf9584c0ca57f937665ce8baf |
institution | Directory Open Access Journal |
issn | 1996-1944 |
language | English |
last_indexed | 2024-03-09T17:43:05Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Materials |
spelling | doaj.art-f2a6c03cf9584c0ca57f937665ce8baf2023-11-24T11:28:22ZengMDPI AGMaterials1996-19442022-11-011523844510.3390/ma15238445Tribological Investigation of Textured Surfaces in Starved Lubrication ConditionsShubrajit Bhaumik0Viorel Paleu1Dhrubajyoti Chowdhury2Adarsh Batham3Udit Sehgal4Basudev Bhattacharya5Chiradeep Ghosh6Shubhabrata Datta7Tribology and Interactive Surface Research Laboratory (TRISUL), Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai 601103, IndiaMechanical Engineering, Mechatronics and Robotics Department, Mechanical Engineering Faculty, “Gheorghe Asachi” Technical University of Iași, 63 D. Mangeron Blvd., 700050 Iași, RomaniaDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaResearch and Development and Scientific Services, Tata Steel Limited, Jamshedpur 831001, IndiaResearch and Development and Scientific Services, Tata Steel Limited, Jamshedpur 831001, IndiaDepartment of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaThe 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.https://www.mdpi.com/1996-1944/15/23/8445materialsfriction reductionmicro-surface texturesvertical milling machineartificial neural networksoptimal design |
spellingShingle | Shubrajit Bhaumik Viorel Paleu Dhrubajyoti Chowdhury Adarsh Batham Udit Sehgal Basudev Bhattacharya Chiradeep Ghosh Shubhabrata Datta Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions Materials materials friction reduction micro-surface textures vertical milling machine artificial neural networks optimal design |
title | Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions |
title_full | Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions |
title_fullStr | Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions |
title_full_unstemmed | Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions |
title_short | Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions |
title_sort | tribological investigation of textured surfaces in starved lubrication conditions |
topic | materials friction reduction micro-surface textures vertical milling machine artificial neural networks optimal design |
url | https://www.mdpi.com/1996-1944/15/23/8445 |
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