Articles From Volume - 01 (Issue - 01)

Open Access Category: JEECS Total View - 348
Design and Analysis of Composite Spur Gear using Al-Ti Materials Paper ID: JEECS-24-06-2019-38
Abstract : Gears are the easiest and most broadly utilized parts in power transmission. It is required to work machines at different burden and speed. Rigging teeth can typically come up short when the heap is expanded past a farthest point. Apart from other metallic apparatuses composite materials give much improved mechanical properties, for example, better solidarity to weight proportion, hardness and henceforth less shot of disappointment. So, in this task Aluminum Titanium is utilized in assembling gears. Composite materials can be improved in properties over steel compounds and cast iron and thus these can be utilized as a superior option for supplanting a metallic rigging. To plan the goad gear model utilizing structures programming and to examine the basic investigation for existing and composite materials. At last, looking at the outcomes for investigation and test trial of the composite apparatus with existing rigging.
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Open Access Category: JEECS Total View - 688
Particle Swarm Optimization in the usage consequences for low power in optimized PID Controller. Paper ID: JEECS-24-06-2019-37
Abstract : Controllers are used to modify the behaviour of a gadget so it behaves in a particular suitable way. Proportional- Integral-Derivative controller has excessive effectiveness, simplicity in implementation so that, it's miles the maximum broadly used controller in industries for many packages. Conventional approach of tuning PID controller creates massive overshoot. This is an appropriate result for some cause but not most suitable for all applications. The Artificial Intelligence (AI) method of Particle Swarm Optimization algorithm is employed in tuning of PID controller. The important intention of this particular work is to evaluate the traditional technique and PSO method of tuning the PID controller and to prove that PSO technique is greener than the traditional approach in tuning the control parameters. Such sort of optimized controllers can be used for low energy programs with excessive efficiency
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