Energy Consumption Modeling of Stereolithography‐Based Additive Manufacturing Toward Environmental Sustainability

Summary Additive manufacturing (AM), also referred as three-dimensional printing or rapid prototyping, has been implemented in various areas as one of the most promising new manufacturing technologies in the past three decades. In addition to the growing public interest in developing AM into a potential mainstream manufacturing approach, increasing concerns on environmental sustainability, especially on energy consumption, have been presented. To date, research efforts have been dedicated to quantitatively measuring and analyzing the energy consumption of AM processes. Such efforts only covered partial types of AM processes and explored inadequate factors that might influence the energy consumption. In addition, energy consumption modeling for AM processes has not been comprehensively studied. To fill the research gap, this article presents a mathematical model for the energy consumption of stereolithography (SLA)-based processes. To validate the mathematical model, experiments are conducted to measure the real energy consumption from an SLA-based AM machine. The design of experiments method is adopted to examine the impacts of different parameters and their potential interactions on the overall energy consumption. For the purpose of minimization of the total energy consumption, a response optimization method is used to identify the optimal combination of parameters. The surface quality of the product built using a set of optimal parameters is obtained and compared with parts built with different parameter combinations. The comparison results show that the overall energy consumption from SLA-based AM processes can be significantly reduced through optimal parameter setting, without observable product quality decay.

[1]  Renaldi Renaldi,et al.  Environmental impact modeling of selective laser sintering processes , 2014 .

[2]  Richard J.M. Hague,et al.  The cost of additive manufacturing: machine productivity, economies of scale and technology-push , 2016 .

[3]  Yong Chen,et al.  A Fast Mask Projection Stereolithography Process for Fabricating Digital Models in Minutes , 2012 .

[4]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[5]  Kaufui Wong,et al.  A Review of Additive Manufacturing , 2012 .

[6]  Wolfgang Wachter,et al.  Light curing strategies for lithography-based additive manufacturing of customized ceramics , 2014 .

[7]  Yaoyao Fiona Zhao,et al.  A new part consolidation method to embrace the design freedom of additive manufacturing , 2015 .

[8]  David L. Bourell,et al.  Sustainability Study in Selective Laser Sintering - An Energy Perspective , 2010 .

[9]  S. P. Sabberwal,et al.  Power factor measurement and correction techniques , 1995 .

[10]  Joseph Pegna,et al.  Environmental impacts of rapid prototyping: an overview of research to date , 2006 .

[11]  Daniel B. Short,et al.  Environmental, health, and safety issues in rapid prototyping , 2015 .

[12]  Nicolas Perry,et al.  Rapid prototyping: energy and environment in the spotlight , 2006 .

[13]  David L. Bourell,et al.  Sustainability of additive manufacturing: measuring the energy consumption of the laser sintering process , 2011 .

[14]  Ian A. Ashcroft,et al.  ENERGY INPUTS TO ADDITIVE MANUFACTURING: DOES CAPACITY UTILIZATION MATTER? , 2011 .

[15]  C. Seepersad,et al.  A comparison of the energy efficiency of selective laser sintering and injection molding of nylon parts , 2012 .

[16]  Yanling Tian,et al.  Novel real function based method to construct heterogeneous porous scaffolds and additive manufacturing for use in medical engineering. , 2015, Medical engineering & physics.

[17]  Chen Hong,et al.  Laser additive manufacturing of ultrafine TiC particle reinforced Inconel 625 based composite parts: Tailored microstructures and enhanced performance , 2015 .

[18]  Jeremy Faludi,et al.  Comparing Environmental Impacts of Additive Manufacturing vs. Traditional Machining via Life-Cycle Assessment , 2015 .

[19]  Yaoyao Fiona Zhao,et al.  Energy and Material Flow Analysis of Binder-jetting Additive Manufacturing Processes , 2014 .

[20]  R. Hague,et al.  Shape Complexity and Process Energy Consumption in Electron Beam Melting: A Case of Something for Nothing in Additive Manufacturing? , 2017 .

[21]  Nicolas Perry,et al.  Energy consumption model of Binder-jetting additive manufacturing processes , 2015 .

[22]  Liang Hou,et al.  Additive manufacturing and its societal impact: a literature review , 2013 .

[23]  Damien Motte,et al.  The Future of Additive Manufacturing , 2019 .

[24]  Chandrika Kamath,et al.  Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing , 2014 .

[25]  Charlie C. L. Wang,et al.  Support slimming for single material based additive manufacturing , 2015, Comput. Aided Des..

[26]  Sam Anand,et al.  Geometric Approaches to Input File Modification for Part Quality Improvement in Additive Manufacturing , 2015 .

[27]  Ryan B. Wicker,et al.  Laser curing of silver-based conductive inks for in situ 3D structural electronics fabrication in stereolithography , 2014 .

[28]  David W. Rosen,et al.  Effective mechanical properties of lattice material fabricated by material extrusion additive manufacturing , 2014 .

[29]  Zi-kui Liu,et al.  Toward an integrated computational system for describing the additive manufacturing process for metallic materials , 2014 .

[30]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..

[31]  F. Piller,et al.  Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited , 2015 .

[32]  Jan C. Aurich,et al.  Framework to Predict the Environmental Impact of Additive Manufacturing in the Life Cycle of a Commercial Vehicle , 2015 .

[33]  Vipin Shukla,et al.  Film performance and UV curing of epoxy acrylate resins , 2002 .

[34]  Neri Oxman,et al.  Flow-based fabrication: An integrated computational workflow for design and digital additive manufacturing of multifunctional heterogeneously structured objects , 2015, Comput. Aided Des..