Design of Gas gun barrel support structure by finite element model updating using optimization techniques

Kumar, Thoutam Aravind; Sidhardha, Nuli S.G.R.S; Devendiran, S.; Kannan, Venkatesan; Koka, Tirumala Rao

doi:10.1016/j.matpr.2020.03.438

Cited by 1 publication

(1 citation statement)

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“…The intuitive manifestations of this structural performance degradation are the change in the contact crash feature results and the mapping relationship with contact crash friction wear [42], which are also key research directions in this stage. Research on the optimization characteristics of feature structures is based on suggestions regarding the above three aspects, aiming to change the structural morphology and strengthen the material properties of structures through physical-chemical means, from both macro-and micro-perspectives, in order to achieve the goal of slowing down the degradation process of special power plants [43,44].…”

Section: State Of Research On Dynamic Model-driven Rul Prediction Met...mentioning

confidence: 99%

Summarization of Remaining Life Prediction Methods for Special Power Plants

Liang,

Li,

Zhao

et al. 2023

Applied Sciences

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With continuous improvements in integration, totalization and automation, remaining useful life predictions of mechanical equipment have become a key feature of technology and core element of equipment prediction and health management. The traditional method based on degradation mechanisms is not fully capable of predicting remaining useful life, especially for special power plants that use industrial transmissions, barrel launchers, etc. The expected service requirements are higher for condition monitoring and remaining service life prediction. The effective prediction of the remaining useful life of such special power plants is a major challenge and technical bottleneck in the industrial field and national defense equipment construction. This paper analyzes and expands on the research on the remaining life prediction methods for special power plants and analyzes the remaining life prediction methods of existing dynamic models, as well as data-driven and data–model fusion drives, and specific ideas for future research and development in four aspects, including remaining useful life prediction tests supplemented with soft measurements. Additionally, future research directions for the remaining life prediction of special power plants are provided.

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Section: State Of Research On Dynamic Model-driven Rul Prediction Met...mentioning

confidence: 99%