A Review of Data Science in Mechanical Engineering

Nowadays, intelligent systems and techniques are pivotal in advancing various components of machines and devices, aiming to enhance overall performance and optimization. Furthermore, accurate predictions are paramount to informed decision-making in mechanical engineering. The influence of data science has significantly shaped the approaches and strategies employed in research and development within the industrial sector. This underscores the imperative integration of data science into mechanical engineering. This paper highlights data science's crucial significance in mechanical engineering, where practitioners leverage these techniques to design, develop, and test products, systems, and processes. As data science rapidly becomes an integral component of mechanical engineering, the synergy between these two fields holds immense potential to revolutionize the efficiency and effectiveness of research endeavors. The amalgamation of data science and mechanical engineering facilitates better-informed decision-making and enables the optimization of processes, product quality improvement, and cost reduction. This harmonious integration stands as a testament to the substantial advancements occurring in the field of mechanical engineering.