Today, quadcopters play an important role in a variety of industries due to their many advantages over other aircraft. In addition to their high level of technology, quadcopters are susceptible to damage, and their repair can be costly. On the other hand, today, reliability is recognized as a critical design feature in most industries. A device's reliability is one of the most important issues in the field of engineering since it provides engineers with an insight into how a device performs. The reliability of a system is one of the most important and complex issues. Since reliability is a key factor in all industries and can have significant effects on increasing the life and quality of products, we tried to use reliability using statistical relationships and mathematical models as well as past experiences. Due to their reliability, cost-effectiveness, and multifunctionality, they are frequently used in a variety of locations Then, by examining the failures modes and their results on the system, the effects of the quadcopter failures are analyzed using the FMEA method, in order to determine the modes and causes of failure. Finally, to determine the causes of failure, we have checked the quadcopter by FTA method to minimize the possibility of failure. The purpose of this article is to first discuss definitions and concepts in the field of reliability and then to analyze the quadcopter and its components.

Our study aims to obtain the highest level of reliability for a quadcopter, taking financial and mass limitations into account, to achieve the highest level of reliability with the lowest mass and cost. For this purpose, we first calculated the reliability and the relationships that govern it, and based on these relationships, we determined the reliability of the quadcopter subsystems. In order to achieve the highest level of reliability, we utilized optimization algorithms. It is possible to increase the reliability of a system through several methods, such as enhancing the quality of parts and components, using surplus components, improving the quality of parts and components by always using surplus components, and redesigning the system. This study examines the possibility of increasing quadcopter reliability by using additional parts and optimizing it using the firefly algorithm. Lastly, in order to validate the results obtained from the firefly algorithm, we implemented the problem once again using the genetic algorithm and compared the results obtained from both algorithms. After 20 times of running the algorithms, the optimal reliability values were 0.99925 for the firefly algorithm and 0.99999 for the genetic algorithm.

The purpose of this study is to study two-dimensional CFD simulations of the COVID-19 virus two-phase flow in steady air with the Euler-Lagrange method. This was accomplished by developing CFD programs in MATLAB and simulations in COMSOL software. Brownian, drag, Saffman, and weight forces are considered for studying the dynamics of virus flow. In order to study the motion of viruses, Brownian, drag forces, and the weight of viruses play an important role. In this study, three different diameters of virus particles were considered, with three different initial conditions and three different initial velocities. The diffusion length and suspending time of viruses in the air have been computed in each of the nine states.

The purpose of this study is to study two-dimensional CFD simulations of the COVID-19 virus two-phase flow in steady air with the Euler-Lagrange method. This was accomplished by developing CFD programs in MATLAB and simulations in COMSOL software. Brownian, drag, Saffman, and weight forces are considered for studying the dynamics of virus flow. In order to study the motion of viruses, Brownian, drag forces, and the weight of viruses play an important role. In this study, three different diameters of virus particles were considered, with three different initial conditions and three different initial velocities. The diffusion length and suspending time of viruses in the air have been computed in each of the nine states.

The purpose of this study is to study two-dimensional CFD simulations of the COVID-19 virus two-phase flow in steady air with the Euler-Lagrange method. This was accomplished by developing CFD programs in MATLAB and simulations in COMSOL software. Brownian, drag, Saffman, and weight forces are considered for studying the dynamics of virus flow. In order to study the motion of viruses, Brownian, drag forces, and the weight of viruses play an important role. In this study, three different diameters of virus particles were considered, with three different initial conditions and three different initial velocities. The diffusion length and suspending time of viruses in the air have been computed in each of the nine states.