Data-driven design strategy in fused filament fabrication: status and opportunities

Abstract The advent of additive manufacturing (AM) has brought about radically new ways designing and end-use parts components, by exploiting freedom design. Due to the unique process AM, both design parameters can strongly influence part properties, thereby enlarging possible space. Thus, finding optimal combination embodiment be challenging. A structured systematic approach is required effectively search enlarged space, truly exploit advantages AM. lowered costs in computing data collection recent years, data-driven strategies have become a viable tool characterization process, researches starting domain. In this paper, state-of-the-art strategy for fused filament fabrication (FFF) presented. need explored discussed from domain, demonstrating value such an FFF part. comprehensive review literature performed research gaps opportunities are analysed discussed. paper concludes with proposed framework that addresses identified gaps. encompasses knowledge management concurrent optimization derive Contribution twofold: presented, achieve proposed.