Comparative Study of Conventional and Generative Design Process

Abstract: This study is a comparison of generative design and traditional design process. A generative design process is an iterative design process that uses Artificial Intelligence to generate a range of design solutions that meet the design constraints. In contrast to the conventional design process, which starts with the engineers' expertise, generative design starts with design parameters and employs AI to develop models. The cooperation of generative plans in the production and assembling departments is preferred by significant businesses nowadays. Therefore, our focus will be on generative design's simpler levels to illustrate how boundary conditions and attributes can be changed to show off contemporary applications. Because of the ease of adjustments, stronger resilience, and fewer defects that occur, generative design has shown to be a big improvement in the machine-producing side of the business. However, the creation and design of models are hampered by the additional complexity of structures. The analysis and generative design of a 4-Stroke engine piston are the subjects of this research. The suggested approach is verified using research that closely mimics a prototype used in practice. The examination's goal is to analyze and describe a comparison of two design processes and establish the advantages and disadvantages of each process and let the end user decide which process will be suitable for their applications