Energy, time and material consumption modelling for fused deposition modelling process
Jimeng Yang, Ying Liu
Abstract
Additive manufacturing (AM) provides an evolutionary paradigm for the next generation of manufacturing. However, the understanding of AM's pattern is not sufficient in manufacturing time, energy and material consumptions. This study aims to provide a flexible and modular modelling method for the aforementioned indicators based on the path planning code and machine characteristics. It enables an accurate consumption prediction from an arbitrary manufacturing task at prefabrication phase and allows users to customise parameters to reduce consumptions. With a small number of experiments on different machine, this method is suitable for other related manufacturing technologies using numerical control programming.
Topics & Concepts
PrefabricationModular designEnergy consumptionProcess (computing)Code (set theory)Computer scienceFused deposition modelingIndustrial engineeringTask (project management)Manufacturing engineeringEngineeringMechanical engineeringSystems engineering3D printingCivil engineeringOperating systemProgramming languageElectrical engineeringSet (abstract data type)Additive Manufacturing and 3D Printing TechnologiesManufacturing Process and OptimizationAdditive Manufacturing Materials and Processes