The increase in accessibility of fused filament fabrication (FFF) machines has inspired the scientific community to work towards the understanding of the structural performance of components fabricated with this technology. Numerous attempts to characterize and to estimate the mechanical properties of structures fabricated with FFF have been reported in the literature. Experimental characterization of printed components has been reported extensively. However, few attempts have been made to predict properties of printed structures with computational models, and a lot less work with analytical approximations. As a result, a thorough review of reported experimental characterization and predictive models is presented with the aim of summarizing applicability and limitations of those approaches. Finally, recommendations on practices for characterizing printed materials are given and areas that deserve further research are proposed.

Throughout history it has been proved that tendencies in the manufacturing floor are a reflection of the changes in the customer's demands. Today, markets increasingly require more customized products, with shorter life cycles. In response, manufacturing systems have evolved from mass production techniques, through flexible automation, and to mass customization to produce ‘one-of-a-kind production’ at mass production costs. This paper argues that manufacturing systems of the next generation will have to incorporate more flexibility and intelligence, evolving towards reconfigurable manufacturing systems. In particular, the concept of ‘intelligence’ becomes more relevant because of the need to maintain effective and efficient manufacturing operations with minimum downtime under conditions of uncertainty. This paper presents a comprehensive literature review of the field of reconfigurable and intelligent machines. The relevant research issues for the development and introduction of reconfigurable machines tools are presented.