A concise review on degradation of gun barrels and its health monitoring techniques

Kumar, Deepak; Kalra, Sahil; Jha, Mayank Shekhar

doi:10.1016/j.engfailanal.2022.106791

Cited by 13 publications

(4 citation statements)

References 69 publications

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“…For instance, Arrhenius model that has been used to model a variety of failure mechanisms that depend on chemical reactions, diffusion processes or migration processes, is exponential in nature (Rocco et al, 2004) ; Coffin-Manson model typically applied model to mechanical failure, material fatigue or material deformation is also exponential in nature (Li, Xie, Cheng, & Tian, 2020); Paris model often employed for crack propagation based prognostics remains exponential in nature (Paris & Erdogan, 1963). Motivated by these observations and similar trends in practice (Saxena, Goebel, Simon, & Eklund, 2008;Kumar, Kalra, & Jha, 2022), a general exponential degradation model is proposed that incorporates the cumulative effect of the system control input u as:…”

Section: Degradation Model Sensitive To System Inputmentioning

confidence: 99%

Prognostics Aware Control Design for Extended Remaining Useful Life

Thuillier,

Jha,

Le Martelot

et al. 2024

IJPHM

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As most of the safety critical industrial systems remain sensitive to functional degradation and operate under closed loop, it becomes imperative to take into account the state of health within the control design process. To that end, an effective assessment and extension of the Remaining Useful Life (RUL) of complex systems is a standing challenge that seeks novel solutions at the cross-over of Prognostics and Health Management (PHM) domain as well as automatic control. This paper considers a dynamical system subjected to functional degradation presents a novel control design strategy. Wherein the assessment of state of health of the system is taken into account leading to effective prediction of the RUL as well as its extension. To that end, the degradation model is considered unknown but input-dependent. The control design is formulated as an optimization problem wherein a suitable comprise is reached between the performance and desired RUL of the system. The main contribution of the paper remains in proposal of set-point modulation based approach wherein the control input at a given present time stage is modulated in such way that futuristic health of the system over a long time horizon is extended whilst assuring acceptable performance. The effectiveness of the proposed strategy is assessed in simulation using a numerical example as well as liquid propellant rocket engine case.

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Section: Degradation Model Sensitive To System Inputmentioning

confidence: 99%

Prognostics Aware Control Design for Extended Remaining Useful Life

Thuillier,

Jha,

Le Martelot

et al. 2024

IJPHM

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“…For this purpose, the safety factor values obtained from simulations conducted with inputs other than the material parameters used in the Taguchi analyses are compared with the values predicted by the regression equations. Since AISI 4340 steel is commonly used in autofrettage applications, it was utilized in this validation test [28]. The material properties of AISI 4340 steel are provided in Table 13 [18].…”

Section: Validation Of the Regression Modelmentioning

confidence: 99%

Parameter Sensitivity Analysis for Machining Operation of Autofrettaged Cylinder Using Taguchi Method

Oymak,

Yıldırım,

Yıldız

et al. 2024

Applied Sciences

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This study investigates the impact of material parameters such as yield strength (Sy), Young’s modulus (E), and tangent modulus (T) on the safety factor (SF) of autofrettaged cylinders under 400 MPa working pressure, considering the three scenarios: no machining, internal machining, and external machining. Finite element (FE) simulations were conducted based on the Taguchi experimental design and converted into signal-to-noise (S/N) ratios to determine the optimal settings. ANOVA was utilized to evaluate the significance and percentage contributions of each factor. The analysis indicated that Sy is the most influential parameter on SF, contributing approximately 98.20% across all scenarios, including no machining, internal machining, and external machining. The contributions of E and T were minimal, but T had a slightly greater effect than E. The analytical validation of the FE model showed good agreement, with a maximum deviation of 4.37% for no machining, 4.75% for internal machining, and 5.20% for external machining. Regression analysis further confirmed the high prediction capability of the model, validated using AISI 4340 steel. The study concludes that internal machining results in higher residual stress loss compared to external machining. Overall, the analytical method tends to provide lower SF values than the numerical method, highlighting its conservative nature.

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“…), their existing stocks are quite large. However, their shelf life is close to 20 years or more [1][2][3][4][5][6][7]. In addition, over time, the number of such ammunition will increase.…”

Section: Introductionmentioning

confidence: 99%

Development of a method for predicting barrel wear resistance when using ammunition with a long storage life

Anipko,

Baulin,

Horielyshev

et al. 2024

Eureka: PE

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Despite the fact that a large amount of small arms ammunition has been used up over the past two years, their stocks in warehouses and arsenals in various countries are quite large. And their shelf life is 20 years or more. In addition, over time, the number of such ammunition will increase. Among the large number of requirements for modern small arms, one can highlight the provision of the necessary survivability of its parts and mechanisms. The problem of barrel survivability is especially important. One of the factors affecting barrel survivability is changes in internal ballistics parameters. In turn, these parameters change when using ammunition whose service life exceeds the warranty. In this regard, the task of studying the survivability indicators of small arms barrels when using post-warranty ammunition seems relevant. The requirements for barrel systems and factors affecting the wear of the barrel bore of powder charges during long-term storage have been determined. An analysis of changes in the ballistic characteristics of powder charges was carried out, which allows to state increased wear of barrels when using ammunition with long storage periods. The dependencies for determining the limit number of shots from a weapon sample are analyzed. A method for predicting barrel survivability when using long-term storage ammunition is proposed. Data are presented on an experimental study to determine changes in barrel survivability as a result of the use of long-term storage ammunition by estimating changes in the initial velocity of the projectile. Based on the results obtained, ways for further research are proposed in the direction of expanding the range of ammunition and weapons

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A concise review on degradation of gun barrels and its health monitoring techniques

Cited by 13 publications

References 69 publications

Prognostics Aware Control Design for Extended Remaining Useful Life

Prognostics Aware Control Design for Extended Remaining Useful Life

Parameter Sensitivity Analysis for Machining Operation of Autofrettaged Cylinder Using Taguchi Method

Development of a method for predicting barrel wear resistance when using ammunition with a long storage life

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