25 research outputs found

    Fatigue Optimization Design Method for Block of Aero Piston Engine

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    Poor reliability of engine block is a technical problem in airworthiness certification of aviation piston engine. Taking the engine block of a certain type of engine as the research object, the transient load curve of the engine block is obtained and fitted through the model simulation, and it is restrained according to the actual installation. The Goodman method is used to analyze the high cycle fatigue of the engine block, the fatigue safety factor of block is obtained. A design method of separated main bearing cap is put forward to optimize the structure of the lower engine block, and the comparative analysis is carried out under the same load conditions. The Weibull mathematical model is used to verify the block reliability indexes, and the optimized block is performed with durability test. The results show that the fatigue safety factor, engine life and reliability of the lower block are improved, and the design method is of a certain reference value to improve the reliability of similar structures

    Regular Analysis of Aero-Diesel Piston Engine between Combustion Chamber Size and Emission

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    The emission of aero-engines has been a focused issue, studying the regular of combustion chamber size on engine emission performance, with an aviation diesel piston engine as the object of study; the numerical model of diesel combustion spray and emission model are analyzed; and the dynamics grid of the combustion chamber is meshed by FIRE software, analyzing the relationship between the reentrant diameter, the maximum depth of the combustion chamber, and the emission generation, comparing the NOx and soot emissions under different combustion chamber sizes. The results show that reducing appropriately the reentrant-max diameter ratio and max diameter-max depth ratio of the combustion chamber can reduce emissions when maintaining the same compression ratio by adjusting the mid-depth. Modifying the geometry parameters of the combustion chamber to verify regularity, it was found that engine NOx emission decreased by 28% and soot emission decreased by 3.6% when changing the size, which verified the correctness of regular analysis

    CRISPR-Cas13a-powered electrochemical biosensor for the detection of the L452R mutation in clinical samples of SARS-CoV-2 variants

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    Abstract Since the end of 2019, a highly contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has deprived numerous lives worldwide, called COVID-19. Up to date, omicron is the latest variant of concern, and BA.5 is replacing the BA.2 variant to become the main subtype rampaging worldwide. These subtypes harbor an L452R mutation, which increases their transmissibility among vaccinated people. Current methods for identifying SARS-CoV-2 variants are mainly based on polymerase chain reaction (PCR) followed by gene sequencing, making time-consuming processes and expensive instrumentation indispensable. In this study, we developed a rapid and ultrasensitive electrochemical biosensor to achieve the goals of high sensitivity, the ability of distinguishing the variants, and the direct detection of RNAs from viruses simultaneously. We used electrodes made of MXene-AuNP (gold nanoparticle) composites for improved sensitivity and the CRISPR/Cas13a system for high specificity in detecting the single-base L452R mutation in RNAs and clinical samples. Our biosensor will be an excellent supplement to the RT-qPCR method enabling the early diagnosis and quick distinguishment of SARS-CoV-2 Omicron BA.5 and BA.2 variants and more potential variants that might arise in the future
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