This book focuses on the emerging additive manufacturing technology and its applications beyond state-of-the-art, fibre-reinforced thermoplastics. It also discusses the development of a hybrid, integrated process that combines additive and subtractive operations in a single-step platform, allowing CAD-to-Part production with freeform shapes using long or continuous fibre-reinforced thermoplastics. The book covers the entire value chain of this next-generation technology, from part design and materials composition to transformation stages, product evaluation, and end-of-life studies.
Moreover, it addresses the following engineering issues:
. Design rules for hybrid additive manufacturing;
. Thermoplastic compounds for high-temperature and -strength applications;
. Advanced extrusion heads and process concepts;
. Hybridisation strategies;
. Software ecosystems for hAM design, pre-processing, process planning, emulating and multi-axisprocessing;
. 3D path generators for hAM based on a multi-objective optimisation algorithm that matches the recent curved adaptive slicing method with a new transversal scheme;
. hAM parameters, real-time monitoring and closed-loop control;
. Multiparametric nondestructive testing (NDT) tools customised for FRTP AM parts;
. Sustainable manufacturing processes validated by advanced LCA/LCC models.
Moreover, it addresses the following engineering issues:
. Design rules for hybrid additive manufacturing;
. Thermoplastic compounds for high-temperature and -strength applications;
. Advanced extrusion heads and process concepts;
. Hybridisation strategies;
. Software ecosystems for hAM design, pre-processing, process planning, emulating and multi-axisprocessing;
. 3D path generators for hAM based on a multi-objective optimisation algorithm that matches the recent curved adaptive slicing method with a new transversal scheme;
. hAM parameters, real-time monitoring and closed-loop control;
. Multiparametric nondestructive testing (NDT) tools customised for FRTP AM parts;
. Sustainable manufacturing processes validated by advanced LCA/LCC models.
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