A Review into Data Science and Its Approaches in Mechanical Engineering
This is a review paper for mechanical engineers interested in understanding the basics and applications of data science in their field.
This paper reviews the field of data science, its methodologies, and its applications specifically within mechanical engineering. It discusses the necessity of integrating data science into mechanical engineering research and projects.
Nowadays it is inevitable to use intelligent systems to improve the performance and optimization of different components of devices or factories. Furthermore, it's so essential to have appropriate predictions to make better decisions in businesses, medical studies, and engineering studies, etc. One of the newest and most widely used of these methods is a field called Data Science that all of the scientists, engineers, and factories need to learn and use in their careers. This article briefly introduced data science and reviewed its methods, especially it's usages in mechanical engineering and challenges and ways of developing data science in mechanical engineering. In the introduction, different definitions of data science and its background in technology reviewed. In the following, data science methodology which is the process that a data scientist needs to do in its works been discussed. Further, some researches in the mechanical engineering area that used data science methods in their studies, are reviewed. Eventually, it has been discussed according to the subjects that have been reviewed in the article, why it is necessary to use data science in mechanical engineering researches and projects.