Experimental Verification Using Database Model for Power Generation by Gravity Machine

The formulation of generalized field data based model for the power generation by gravity machine aims is field data based modeling for power generation by gravity is improve the power by correcting or modifying the inputs for improving output. Reduced human energy consumption will increase overall power, the no of variables involved were large so they are reduced using dimensional analysis into few dimensionless Pi terms. Buckingham Pi theorem is used to establish dimensional equations to exhibits relationships between dependent term and independent terms. Mathematical relationship exhibit that which input variables is to be maximized or minimized to optimized output variables. Model is optimized by using the optimization technique. The model will be useful for an entrepreneur of an industry to select optimized input so as to get targeted responses. The problem of generating power is recent quest so everyone should thick gravity be the option in non conventional energy sources, because gravity is available all over in abundant quantity. The concept of power generation by gravity is simple, when the body goes downward from higher attitude to lower attitude, one its potential energy get converted into kinetic energy, dynamometer generates electricity by this kinetic energy into rotary motion.