A concise review on degradation of gun barrels and its health monitoring techniques. (December 2022)
- Record Type:
- Journal Article
- Title:
- A concise review on degradation of gun barrels and its health monitoring techniques. (December 2022)
- Main Title:
- A concise review on degradation of gun barrels and its health monitoring techniques
- Authors:
- Kumar, Deepak
Kalra, Sahil
Jha, Mayank Shekhar - Abstract:
- Abstract: Unpredicted failure of barrels is a common problem for cannons, artilleries, and other ballistic missiles. The major cause of the barrels' failure is high pressure, which generates large residual stresses in the inner layers of the barrel. To reduce the stresses, autofrettage of the barrels is carried out in which the core material is allowed to deform plastically and the upper layers produce a continuous elastic force over the inner layers. Autofrettage is a common engineering practice which is carried out while manufacturing of barrels to increase the operational life significantly. The other reason for barrel failure is material degradation which occurs due to thermal fluctuations, fatigue, wear, erosion, corrosion, etc. In order to correlate them with the life of the gun barrels, various tools such as borescope, variety of gauges, optical bore-mapping, ultrasonic sensors, and diamond indenter-based instruments are used. The measured data is then used to formulate the empirical mathematical relation which is further used to calculate the remaining useful life of the barrels. The other mathematical models are the prognostics models which are generally Probabilistic models or Data-driven models (such as machine learning) or Hybrid models. By using these models, we estimate the remaining life of barrels by using any of the techniques such as heat emission method, dimension increment method, muzzle velocity method, and strain-based methods. The paper conciselyAbstract: Unpredicted failure of barrels is a common problem for cannons, artilleries, and other ballistic missiles. The major cause of the barrels' failure is high pressure, which generates large residual stresses in the inner layers of the barrel. To reduce the stresses, autofrettage of the barrels is carried out in which the core material is allowed to deform plastically and the upper layers produce a continuous elastic force over the inner layers. Autofrettage is a common engineering practice which is carried out while manufacturing of barrels to increase the operational life significantly. The other reason for barrel failure is material degradation which occurs due to thermal fluctuations, fatigue, wear, erosion, corrosion, etc. In order to correlate them with the life of the gun barrels, various tools such as borescope, variety of gauges, optical bore-mapping, ultrasonic sensors, and diamond indenter-based instruments are used. The measured data is then used to formulate the empirical mathematical relation which is further used to calculate the remaining useful life of the barrels. The other mathematical models are the prognostics models which are generally Probabilistic models or Data-driven models (such as machine learning) or Hybrid models. By using these models, we estimate the remaining life of barrels by using any of the techniques such as heat emission method, dimension increment method, muzzle velocity method, and strain-based methods. The paper concisely summarize various techniques used for diagnostic and prognostic of barrels to estimate the degradation profile and to calculate the remaining useful life (RUL). Highlights: The paper review various causes of Gun barrels failure occur due to residual stresses, crack growth. Autofrettage process is described using FEA which reduce the residual stresses on the barrel. Effect of wear, corrosion, and thermal fatigue on Gun barrels life is discussed in detail. Diagnostics passive and active instruments are discussed in detail. Prognostic techniques are discussed in detail to predict the remaining useful life of the barrels. … (more)
- Is Part Of:
- Engineering failure analysis. Volume 142(2022)
- Journal:
- Engineering failure analysis
- Issue:
- Volume 142(2022)
- Issue Display:
- Volume 142, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 142
- Issue:
- 2022
- Issue Sort Value:
- 2022-0142-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- System failures (Engineering) -- Periodicals
Fracture mechanics -- Periodicals
Reliability (Engineering) -- Periodicals
Pannes -- Périodiques
Rupture, Mécanique de la -- Périodiques
Fiabilité -- Périodiques
Fracture mechanics
Reliability (Engineering)
System failures (Engineering)
Periodicals
Electronic journals
620.112 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13506307 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.engfailanal.2022.106791 ↗
- Languages:
- English
- ISSNs:
- 1350-6307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3760.991000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24110.xml