A Mechanical System Design Process that is Data Driven

Abstract

The engineering of complicated mechanical systems is the subject of the study and commercial activity known as mechanical product engineering. The procedure creates syntactic and semantic interoperability issues that cannot be solved by current software solutions or their underlying theories, necessitating the involvement of many professionals and the use of domain-specific software. The flexible model-based software architecture suggested in this article enables a federation of specialists to define and work together on creative design processes. The implementation of the proposed generic technique on an academic use case supports and validates it. Fundamentals of engineering are data-driven design for design professionals and researchers who don't necessarily need to be conversant with pertinent concepts. We go into detail on the history, purpose, and significance of engineering design driven by data. Theoretically, a revolutionary marriage of well-established design theory and practice with freshly emerging data science is what Data-driven engineering design is described. As a result, a complete data lifetime is divided into several data operations, and a systematic design process is divided into several key design operations.  To connect diverse design processes with appropriate data operations for various engineering design scenarios, a theory suggested using a framework for data-driven engineering design. Using this data to create the idea of a configurator for product-service systems as a design automation enabler is part of a conceptual framework for data-driven design automation of product-service systems is then presented. The next phase of the research will involve applying the suggested framework to numerous case studies in various industrial environments.