Second Classical Mecanics – An evolution of Physics

Felipe Maya Muniz

felipemayamuniz82@gmail.com

Independent Student

Resume

An experimental test for laws of termodinamics and an explanation of it using a machine with neural network to try to violate first law of termodinamics plus, correcting Classical Mechanics

Keywords: Experiment, Classical Mechanics, Termodinamics, Neural Network

Introduction

In order to test thermodinamics i develop a machine that is able to violate first law of termodinamics and prove that Actual Classical Mecanics is incomplete. It uses neural network with bias to produce the correct results.

1 How to put Termodinamics to test

The first law of thermodynamics says that nothing is created, everything is transformed. So I developed an experiment to test this. It consists of an apparatus with two wheels, one on top of the other under a movable conveyor that controls weights on its extension, controlled by an A.I in order to produce movement in one of the directions, left or right, according to the figure 1 below.

1 - Mobile conveyor belt;

2,3 - Hydraulic Arm

4,5 - Wheels

6.7 - Mobile arms

8 - Brakes

The moving conveyor does not necessarily need to rest against the wheel, the hydraulic arms can suspend the conveyor to ease the friction.

Mechanical arms and weights (squares), all movable, serve to help artificial intelligence control the balance of the object.

Thermodynamics says that nothing is created, everything is transformed, so because of it, even if the best artificial intelligence is made, this A.I machine will never be able to produce energy or movement besides swinging to one side and returning to the original position, unless that the thermodynamics is wrong.

Considering that the steady state, as in image 2, and from there, the neural network can produce a movement to one side, instead of balancing trough one side and another, it means that the thermodynamics is false and the BIAS of the neural network represents a constant of the nature we still do not know.

The trick is using A.I. To control acceleration and equilibrium at same time with potencial gravitational energy, and if the quantity of movement excceds its consumption, an alternator for example can recharge a battery to continuouslly produce more acceleration and than proving that first law of Termodinamics can be violated.

image 2 - equilibrium

In this experiment, if we produce movement, we will have free energy.

In short, the prototype works as follows, an artificial intelligence is formed of mathematical functions, and in the case of neural networks, inside it, the BIAS, in this as a wild variable, distributed in the functions of the program. So if you simulate an artificial intelligence to test physical laws like F = m*a, the BIAS serves exactly with an F = m*a*(BIAS). So this means that if this machine succeeds in balancing and generating motion energy above its consumption, that BIAS will represent as that the first Law of thermodynamics is wrong and that Geometry takes its part on creation of energy.

And this is not an perpetum motion at all, but a gravitational accelerator that converts gravitacional potencial energy in eletrical current.

To prove here that current physics is wrong with one argument, current physics says that there is no acceleration with equilibrium, but if this were true the acceleration itself would not stand on its own, and we would soon be frozen in time.

Final considerations

This machine must be created and tested, if it succeds, a new era of tecnology is open for us and the real formula for Classical Mechanics is F = m*a*x.