The contributions of generative design and additive manufacture will be enormous to innovations in the field of modern engineering and industrial applications. A literature survey of recently published papers to understand major advances in deep learning applications, manufacturing optimization, and industry-derived implementations is presented by the current paper. Besides, it depicts significant progress in two domains of stress-driven generative design for lattice structures and real-time process simulation through digital twins to be developed along with manufacturing aware algorithms. This work points to an increasing direction of the generative design method towards sustainability and bio-inspired approaches. Besides, the study discussed coyote issues in standardization, reliability assessment, and mass production implementations. Hence, this review will be a great source of information for the researchers and the practitioners and also serve as an opening of new and promising research avenues in generative design for additive manufacturing.
Karthik et al. (Tue,) studied this question.