Aplicação web em nuvem desenvolvida com Django para automatização de análise de fadiga em eixos de transmissão

Abstract

Shaft is one of the most widely used machine elements in various mechanical engineering applications. Some of its main attributions are power transmission and support of other mechanical elements. When designing a shaft, it is necessary to ensure that there will be no fatigue failure in this element, using calculations and criteria that perform its verification according to the desired application. However, there is a growing demand related to process automation in recent years. This need is linked to the constant evolution of cloud computing and expert systems related to Industry 4.0. Thus, a research opportunity arises to incorporate these technologies into the daily life of a mechanical engineer, in order to facilitate their work and assist in their decision- making. Thus, the purpose of this work is to develop a cloud web application for fatigue analysis of mechanical transmission shafts. For this, a user-friendly web application will be developed using the Django web framework, in order to allow the insertion of input data into the system through a form. Then, two case studies will be carried out, in which shafts taken from academic literature will be analyzed to demonstrate the functionality of the website. At the end, it will be possible to observe that the web application developed simplifies the modification of design parameters, such as the shaft material, its dimensions, surface finish (related to its manufacturing process), among others. Thus, the system facilitates decision-making and reduces the occurrence of human errors that can affect the designer's performance. Furthermore, it can allow the performance of fatigue analysis ubiquitously through a simple web application, just by accessing an website and entering the input data.