Fatigue assessment of multilayer coatings using lock-in thermography
Fatigue assessment of multilayer coatings using lock-in thermography
Plain bearings experience cyclic loading during operation, which may cause fatigue failure. In the bearings under study a steel backing has a leaded bronze interlayer, covered by a thin (20 μm) multilayer coating, which consists of several electroplated layers composed of Sn, Ni and Cu. Commercial performance assessments simulate the conditions of engines in a ‘Pass or Fail’ test. A new methodology is proposed to assess the fundamental fatigue behaviour for such complex layered bearings. Accelerated fatigue tests on half-shell bearings have been conducted under 3-point bend, whilst the coated side of the bearings are recorded with an infrared camera. Cyclic tests with strain gauges placed on the coating have been performed to evaluate the strains developing during loading. By combining these tests we can rank different coatings. A compliance based failure criterion is also compared with a failure criterion based on early damage revealed by infrared thermography, showing that the latter is far less conservative. Thus, this methodology allows detection of small scale fatigue cracks in the coatings significantly earlier, facilitating assessment and identification of possible mechanisms to explain the differences in fatigue performance between coatings. This provides valuable information to develop new coatings for future bearing designs.
fatigue, multilayer, coating, infrared thermography, bearing, Sn-Ni-Cu systems
361-373
Laborda, Andreu
c52a5a68-9f76-4ae2-a9fa-4599b281d893
Robinson, Andrew
42a3e980-2bd6-4d1c-8a36-000931e90ba2
Wang, Shuncai
8a390e2d-6552-4c7c-a88f-25bf9d6986a6
Zhang, Yi
18b3a252-4a76-4cda-8404-4bb6e922468e
Reed, Philippa
8b79d87f-3288-4167-bcfc-c1de4b93ce17
5 March 2018
Laborda, Andreu
c52a5a68-9f76-4ae2-a9fa-4599b281d893
Robinson, Andrew
42a3e980-2bd6-4d1c-8a36-000931e90ba2
Wang, Shuncai
8a390e2d-6552-4c7c-a88f-25bf9d6986a6
Zhang, Yi
18b3a252-4a76-4cda-8404-4bb6e922468e
Reed, Philippa
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Laborda, Andreu, Robinson, Andrew, Wang, Shuncai, Zhang, Yi and Reed, Philippa
(2018)
Fatigue assessment of multilayer coatings using lock-in thermography.
Materials & Design, 141, .
(doi:10.1016/j.matdes.2018.01.004).
Abstract
Plain bearings experience cyclic loading during operation, which may cause fatigue failure. In the bearings under study a steel backing has a leaded bronze interlayer, covered by a thin (20 μm) multilayer coating, which consists of several electroplated layers composed of Sn, Ni and Cu. Commercial performance assessments simulate the conditions of engines in a ‘Pass or Fail’ test. A new methodology is proposed to assess the fundamental fatigue behaviour for such complex layered bearings. Accelerated fatigue tests on half-shell bearings have been conducted under 3-point bend, whilst the coated side of the bearings are recorded with an infrared camera. Cyclic tests with strain gauges placed on the coating have been performed to evaluate the strains developing during loading. By combining these tests we can rank different coatings. A compliance based failure criterion is also compared with a failure criterion based on early damage revealed by infrared thermography, showing that the latter is far less conservative. Thus, this methodology allows detection of small scale fatigue cracks in the coatings significantly earlier, facilitating assessment and identification of possible mechanisms to explain the differences in fatigue performance between coatings. This provides valuable information to develop new coatings for future bearing designs.
Text
JMAD-D-17-06541R2
- Accepted Manuscript
More information
Accepted/In Press date: 2 January 2018
e-pub ahead of print date: 4 January 2018
Published date: 5 March 2018
Keywords:
fatigue, multilayer, coating, infrared thermography, bearing, Sn-Ni-Cu systems
Identifiers
Local EPrints ID: 416750
URI: http://eprints.soton.ac.uk/id/eprint/416750
ISSN: 0264-1275
PURE UUID: 917f8d15-e0d2-48a5-9293-4d048c5ae030
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Date deposited: 08 Jan 2018 17:30
Last modified: 16 Mar 2024 06:04
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Author:
Andreu Laborda
Author:
Yi Zhang
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