Evaluation of Mechanical Strength Characteristics of Double Ducted Unmanned Amphibious Aerial Vehicle using Finite Element Analysis

In this paper, the proposed technique interlinking Proteus and Arduino is a novel and cost-effective strategy helps to identify the fault and protect the machine by giving the signal for isolation from supply, it is suitable for all industrial applications. The fault tolerance of the switched reluctance motor is high, but cannot be acclaimed for absolute and should be analyzed under different operating conditions. It is preliminary to examine and diagnose the eccentricity to achieve the smooth running of the motor. The Emulation results for the proposed model successfully exhibited the type of fault, location and also give the details of emergency of repair in a particular section based on the severity of fault in that location. This is a simple and powerful integrated technique feasible to use in all types of laboratory, industrial and research and development applications.

Conditional Monitoring of Switched Reluctance Motor for Static and Dynamic Eccentricity Faults with Fault Isolation

Reddy¹,

Kumar²

2019

Computations of Magnetic Forces in Multipole Field Electromagnetic Launcher

Kondamudi¹,

Pasumarthi²

2019

Multipole Field Electromagnetic Launchers (MFEML) is one of the radial electromagnetic launching mechanisms, which can propel a payload for long distances. This paper proposes formulae for inductance based on the magnetic flux distribution in the coils of MFEML. Flux lines flow is sectionalized, for each section reluctance formulae is derived based on the position of the projectile. Based on the principles of the Lorentz equation, magnetic forces are calculated. This paper presents an electrical and magnetic equivalent circuit of MFEML. The velocity and force characteristics are obtained for the proposed formulae. The results are validated using Finite element analysis.

Lubrication of Rough Short Bearing on Shliomis Model by Ferrofluid Considering Viscosity Variation Effect

Munshi¹,

Patel²,

Deheri³

2019

This study aims to explore the impact caused by change in viscosity and the roughness of a bearing surface on a ferrofluid lubrication of Shliomis model for short bearing. Based on this model and the Tipei (1962) model, a new resultant Reynolds equation has been found that shows thermal variation. The Christensen and Tonder models have been taken to derive the transverse roughness stochastically. An assumed mean has been taken for the probability density function with a non-zero value. This value is assigned to a random variable that measures the bearing’s surface roughness. This creates a more realistic situation that can have a lot of field applications. The model defines the problem mathematically while defining boundary conditions. It also uses the Simpson’s method to derive a conclusion. The results thus obtained are discussed in terms of pressure distribution and load bearing capacity. The graphical results obtained suggest that in the presence of magnetization, there is a significant enhance in the load bearing capacity. This positive effect can easily nullify the negative impact of the thermal effect. The short bearing approximation shown here is an example of the probable applications. Ferrofluids in the presence of magnetic fields significantly enhance the performance of a short bearing.