A framework for manufacturing execution system deployment in an advanced additive manufacturing process

The deployment of additive manufacturing (AM) processes had a rapid and broad increase in the last years, and the same trend is expected to hold in the near future. A way to better exploit the advantages of such technology is the use of appropriate information tools. However, today there is a lack of software applications devoted to this innovative manufacturing process. To overcome this issue, in the present work the application of manufacturing execution systems (MES), a tool commonly used in traditional manufacturing processes, is extended to AM. Furthermore, a framework for the deployment of shop-floor data, acquired through a monitoring system, in the design phase is presented: hence, MES should cooperate with design for additive manufacturing (DFAM), a set of methods and tools helpful to design a product and its manufacturing process taking into account AM specificities from the early design stages. In order to better understand the advantages of such cooperation, a case study for a proof of concept has been developed: the obtained results are promising, thus an online implementation would be recommended.

[1]  Heiko Meyer,et al.  Manufacturing Execution Systems , 2009 .

[2]  Jasmine Siu Lee Lam,et al.  Process characterisation of 3D-printed FDM components using improved evolutionary computational approach , 2015 .

[3]  Daryl Powell,et al.  A framework for ICT-enabled real-time production planning and control , 2014, Advances in Manufacturing.

[4]  Anoop Kumar Sood,et al.  Experimental investigation and empirical modelling of FDM process for compressive strength improvement , 2012 .

[5]  Kristo Karjust,et al.  Real time production monitoring system in SME , 2013 .

[6]  Nabil Anwer,et al.  Assembly Based Methods to Support Product Innovation in Design for Additive Manufacturing: An Exploratory Case Study , 2015 .

[7]  Andrea Luzi,et al.  Assessing sustainability and supporting compliance to standards in continuous industrial processes , 2014 .

[8]  Alain Bernard,et al.  Build orientation optimization for multi-part production in additive manufacturing , 2017, J. Intell. Manuf..

[9]  John R. Tumbleston,et al.  Continuous liquid interface production of 3D objects , 2015, Science.

[10]  R. K. Ohdar,et al.  An investigation on sliding wear of FDM built parts , 2012 .

[11]  Frédéric Vignat,et al.  Metallic additive manufacturing: state-of-the-art review and prospects , 2012 .

[12]  Eleonora Atzeni,et al.  Economics of additive manufacturing for end-usable metal parts , 2012 .

[13]  Fiona Charnley,et al.  Data requirements and assessment of technologies enabling a product passport within products exposed to harsh environments: a case study of a high pressure nozzle guide vane , 2016 .

[14]  Ray Y. Zhong,et al.  RFID-enabled real-time manufacturing execution system for mass-customization production , 2013 .

[15]  Jouke Verlinden,et al.  Optimal Design for Additive Manufacturing: Opportunities and Challenges , 2011 .

[16]  David W. Rosen,et al.  Computer-Aided Design for Additive Manufacturing of Cellular Structures , 2007 .

[17]  Jia Liu,et al.  Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors , 2015 .

[18]  Jose Vicente Abellan-Nebot,et al.  A review of machining monitoring systems based on artificial intelligence process models , 2010 .

[19]  Paul J. Besl,et al.  Method for registration of 3-D shapes , 1992, Other Conferences.

[20]  Ernie Appleton,et al.  Product Design for Manufacture and Assembly , 2008 .

[21]  Springer-Verlag London Additive manufacturing process selection based on parts' selection criteria , 2015 .

[22]  Edward William Reutzel,et al.  A survey of sensing and control systems for machine and process monitoring of directed-energy, metal-based additive manufacturing , 2015 .

[23]  Satish T. S. Bukkapatnam,et al.  Dynamic Modeling and Monitoring of Contour Crafting—An Extrusion-Based Layered Manufacturing Process , 2007 .

[24]  R. Ponche,et al.  A new global approach to design for additive manufacturing , 2012 .

[25]  Yong Huang,et al.  Additive Manufacturing: Current State, Future Potential, Gaps and Needs, and Recommendations , 2015 .

[26]  Jean-Yves Hascoët,et al.  A novel methodology of design for Additive Manufacturing applied to Additive Laser Manufacturing process , 2014 .

[27]  Toon Goedemé,et al.  Process Monitoring of Extrusion Based 3D Printing via Laser Scanning , 2014, ArXiv.

[28]  Bengt Klefsjö,et al.  The machine that changed the world , 2008 .

[29]  António Grilo,et al.  Novel strategies for global manufacturing systems interoperability , 2014, Journal of Intelligent Manufacturing.

[30]  Kwan H. Lee,et al.  Determination of the optimal build direction for different rapid prototyping processes using multi-criterion decision making , 2006 .

[31]  Alberto Boschetto,et al.  Accuracy prediction in fused deposition modeling , 2014 .

[32]  David Z. Zhang,et al.  Additive manufacturing: A framework for implementation , 2014 .