This study offers a complete analysis of the use of deep learning or machine learning, as well as precise recommendations on how these methods could be used in the creation of machine components and nodes. The examples in this thesis are intended to identify areas in mechanical design and optimization where this technique could be widely applied in the future, benefiting society and advancing the current state of modern mechanical engineering. The review begins with a discussion on the workings of artificial intelligence, machine learning, and deep learning. Different techniques, classifications, and even comparisons of each method are described in detail. The most common programming languages, frameworks, and software used in mechanical engineering for this problem are gradually introduced. Input data formats and the most common datasets that are suitable for the field of machine learning in mechanical design and optimization are also discussed. The second half of the review describes the current use of machine learning in several areas of mechanical design and optimization, using specific examples that have been investigated by researchers from around the world. Further research directions on the use of machine learning and neural networks in the fields of mechanical design and optimization are discussed.

Automated production and assembly lines can be considered a crucial factor in accelerating the production processes and achieving the maximum financial savings. In particular, specialized single-purpose machines can significantly reduce production or assembly time. The submitted article presents a design of a single-purpose device that is used for the automated assembly of a roller bush with a screw. These components are then used for construction and agricultural vehicles to attach other components. Naturally, the design of this specific device is more demanding in terms of time consumption, precision, detail and initial investment than similar less complicated all-purpose devices. Nevertheless, single-purpose devices turn out to be a better option in the sense of quality and profit both in the long-term and high-capacity projects, such as automotive industry, agricultural and construction machinery. The best alternative was selected from several proposals using the evaluation method. The assembly machine was designed and optimized using Computer Aided Design systems and Finite Element Method analyses. The resulting equipment was used in practice, where it significantly increased the productivity and production efficiency.

This paper examines the design of a maintenance shaft hatch cover at an airport service road which will be utilized at airports in the European Union. The shaft has a particular application: it will be used for information networks and airport security. The hatch is also subject to extremely stringent safety criteria. For instance, in a catastrophic case, a wheel from an aircraft could strike the hatch cover. Based on all the input information and after a thorough analysis of the European standards concerning the safety of transport, after performing numerous FEM static evaluations, a hatch cover that can be utilized in airport infrastructure was created. As a result of the FEM analyses, the elements with the greatest impact on static safety were identified. Finally, a simulation of stress tests based on the traffic areas for which the hatch cover was designed, in terms of traffic safety, was carried out. The test led to a positive result, showing that it is possible to apply the hatch directly in practice.