Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions
The surface wear in mechanical contacts under running conditions is always a challenge to quantify. However, the inevitable relationship between the airborne noise and the surface wear can be used to predict the latter with good accuracy. In this paper, a predictive model has been derived to quantif...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/4/1160 |
| _version_ | 1797413432358600704 |
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| author | Ali Rahman Muhammad Khan Aleem Mushtaq |
| author_facet | Ali Rahman Muhammad Khan Aleem Mushtaq |
| author_sort | Ali Rahman |
| collection | DOAJ |
| description | The surface wear in mechanical contacts under running conditions is always a challenge to quantify. However, the inevitable relationship between the airborne noise and the surface wear can be used to predict the latter with good accuracy. In this paper, a predictive model has been derived to quantify surface wear by using airborne noise signals collected at a microphone. The noise was generated from a pin on disc setup on different dry and lubricated conditions. The collected signals were analyzed, and spectral features estimated from the measurements and regression models implemented in order to achieve an average wear prediction accuracy of within 1<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow><mi mathvariant="normal">m</mi><mi mathvariant="normal">m</mi></mrow><mn>3</mn></msup></semantics></math></inline-formula>. |
| first_indexed | 2024-03-09T05:17:47Z |
| format | Article |
| id | doaj.art-12d7d313880c4fd3891d935b23213a8d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:17:47Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-12d7d313880c4fd3891d935b23213a8d2023-12-03T12:43:22ZengMDPI AGSensors1424-82202021-02-01214116010.3390/s21041160Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated ConditionsAli Rahman0Muhammad Khan1Aleem Mushtaq2Department of Electrical Engineering and Information Technology, Technische Universität Darmstadt, 64283 Darmstadt, GermanySchool of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UKDepartment of Electronics and Power Engineering, Pakistan Navy Engineering College, National University of Sciences and Technology, Karachi 75350, PakistanThe surface wear in mechanical contacts under running conditions is always a challenge to quantify. However, the inevitable relationship between the airborne noise and the surface wear can be used to predict the latter with good accuracy. In this paper, a predictive model has been derived to quantify surface wear by using airborne noise signals collected at a microphone. The noise was generated from a pin on disc setup on different dry and lubricated conditions. The collected signals were analyzed, and spectral features estimated from the measurements and regression models implemented in order to achieve an average wear prediction accuracy of within 1<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow><mi mathvariant="normal">m</mi><mi mathvariant="normal">m</mi></mrow><mn>3</mn></msup></semantics></math></inline-formula>.https://www.mdpi.com/1424-8220/21/4/1160non-contact sensingsensor measurementIntelligent algorithmslubricationcontactwear |
| spellingShingle | Ali Rahman Muhammad Khan Aleem Mushtaq Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions Sensors non-contact sensing sensor measurement Intelligent algorithms lubrication contact wear |
| title | Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions |
| title_full | Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions |
| title_fullStr | Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions |
| title_full_unstemmed | Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions |
| title_short | Predictive Modeling of Surface Wear in Mechanical Contacts under Lubricated and Non-Lubricated Conditions |
| title_sort | predictive modeling of surface wear in mechanical contacts under lubricated and non lubricated conditions |
| topic | non-contact sensing sensor measurement Intelligent algorithms lubrication contact wear |
| url | https://www.mdpi.com/1424-8220/21/4/1160 |
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