Passive Robust Control for Internet-Based Time-Delay Switching Systems

Zhang, Hao; Yan, Hao

doi:10.5772/16138

Cited by 1 publication

(1 citation statement)

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“…Over the years, this method has been exposed to many shortcomings in the research and development of energy materials. For example, the mixing uniformity is poor, it is easy to cause unstable combustion of the product, and there are always hidden dangers of static electricity and explosion accidents in the product preparation process, etc. − This has led many countries to abandon it when preparing energetic materials. Therefore, it is imperative to use better technology to prepare transient thermal expansion rock cracking agents.…”

Section: Introductionmentioning

confidence: 99%

Preparation of a Transient Thermal Expansion Rock Cracking Agent by Deposition Method and Its Nonisothermal Kinetics Study with Isoconversional Procedure and DAEM

et al. 2023

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Cracking agents are indispensable and important products for national energy exploitation and large-scale infrastructure construction. Transient thermal expansion rock cracking agent is a new cracking agent product with excellent performance that has just appeared in recent years. However, it is still prepared by mechanical ball milling, which is considered not the best choice among traditional methods for preparing energetic materials. In this paper, a transient thermal expansion rock splitting agent was prepared by the chemical deposition method using carbon black and calcium peroxide as raw materials. The TG/DTG results show that the mass loss of the sample can be divided into four stages with the increase of temperature. It is worth noting that the mass loss of the TG curve of the sample during the entire thermal decomposition process is 93.385%, and the instantaneous weight loss is 78.07% (β = 15 °C/min). Kinetic analysis of the thermal decomposition process of the samples was performed using an isotransformation program and a distributed activation energy model (DAEM). The activation energy E α of the thermal decomposition of the sample was iteratively calculated. The results show that the a–E a curve of the sample can be divided into two stages. The pyrolysis kinetics of the first stage was successfully analyzed by the DAEM method and its thermal conversion behavior was predicted. The thermal decomposition behavior of the second stage was analyzed by a traditional kinetic analysis method.

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Section: Introductionmentioning

confidence: 99%