Ontology-based knowledge representation for additive manufacturing

Abstract The flourishing development of additive manufacturing (AM) technologies calls for robust IT methodologies and solutions to manage the plethora of data that is generated in the AM value chain. The purpose of this paper is to propose a principled knowledge-based model for AM in the form of a computational ontology. As corpus of formally represented knowledge, the ontology constitutes the backbone structure to organize AM data and automatically reason over experts’ knowledge for data validation, ultimately supporting the development of algorithms and applications for decision making. By the end of the paper we show some modeling and reasoning examples based on the use of the proposed ontology in a prototype Web application.

[1]  Stefano Borgo,et al.  An ontological approach for reliable data integration in the industrial domain , 2014, Comput. Ind..

[2]  Anne-Françoise Cutting-Decelle,et al.  Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies , 2007 .

[3]  Jeremy S Liang,et al.  An ontology-oriented knowledge methodology for process planning in additive layer manufacturing , 2018, Robotics and Computer-Integrated Manufacturing.

[4]  Duck Bong Kim,et al.  Streamlining the additive manufacturing digital spectrum: A systems approach , 2015 .

[5]  Robert Arp,et al.  Building Ontologies with Basic Formal Ontology , 2015 .

[6]  Paul Witherell,et al.  Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models , 2014 .

[7]  Stephen Warde,et al.  Overview of Additive Manufacturing Informatics: “A Digital Thread” , 2016, Integrating Materials and Manufacturing Innovation.

[8]  Diego Calvanese,et al.  The Description Logic Handbook: Theory, Implementation, and Applications , 2003, Description Logic Handbook.

[9]  Riichiro Mizoguchi,et al.  Part 3: Advanced course of ontological engineering , 2004, New Generation Computing.

[10]  David W. Rosen,et al.  Design for Additive Manufacturing , 2015, Additive Manufacturing Technologies.

[11]  Brandon M. Lane,et al.  Laser powder bed fusion of nickel alloy 625: Experimental investigations of effects of process parameters on melt pool size and shape with spatter analysis , 2017 .

[12]  Fernando Romero,et al.  Modeling Manufacturing Resources: An Ontological Approach , 2018, PLM.

[13]  Alain Bernard,et al.  Towards an Unified Additive Manufacturing Product-Process Model for Digital Chain Management Purpose , 2018 .

[14]  Paul Witherell,et al.  Additive Manufacturing: A Trans-disciplinary Experience , 2017 .

[15]  Dimitris Kiritsis,et al.  Ontologies in the context of product lifecycle management: state of the art literature review , 2015 .

[16]  Werner Ceusters,et al.  Aboutness: towards foundations for the Information Artifact Ontology , 2015, ICBO.

[17]  R. Poprawe,et al.  Laser additive manufacturing of metallic components: materials, processes and mechanisms , 2012 .

[18]  Robert I. M. Young,et al.  The application of common logic based formal ontologies to assembly knowledge sharing , 2015, J. Intell. Manuf..

[19]  Nicola Guarino,et al.  An Overview of OntoClean , 2004, Handbook on Ontologies.

[20]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[21]  Giancarlo Guizzardi,et al.  Ontological foundations for structural conceptual models , 2005 .

[22]  Paul J. Scott,et al.  A categorical framework for formalising knowledge in additive manufacturing , 2018 .

[23]  Rahul Rai,et al.  A product life cycle ontology for additive manufacturing , 2019, Comput. Ind..

[24]  Alain Bernard,et al.  An integrated decision-making model for multi-attributes decision-making (MADM) problems in additive manufacturing process planning , 2014 .

[25]  David W. Rosen,et al.  A Design for Additive Manufacturing Ontology , 2016, Journal of Computing and Information Science in Engineering.

[26]  Jack C. Wileden,et al.  Knowledge Management With an Intelligent Tool for Additive Manufacturing , 2015 .

[27]  Xun Xu,et al.  Selection of additive manufacturing processes , 2017 .

[28]  Stefano Borgo,et al.  What are features? An ontology-based review of the literature , 2016, Comput. Aided Des..

[29]  Andreia Malucelli,et al.  Interoperable manufacturing knowledge systems , 2018, Int. J. Prod. Res..

[30]  Daniel R. Eyers,et al.  Industrial Additive Manufacturing: A manufacturing systems perspective , 2017, Comput. Ind..

[31]  Sundar Krishnamurty,et al.  A Knowledge-Based Method for Innovative Design for Additive Manufacturing Supported by Modular Ontologies , 2018, J. Comput. Inf. Sci. Eng..

[32]  Jack C. Wileden,et al.  Design and Innovative Methodologies in a Semantic Framework , 2007 .

[33]  Nicola Guarino,et al.  Towards an Ontology of Software: a Requirements Engineering Perspective , 2014, FOIS.

[34]  Mathias Brochhausen,et al.  An Ontological Analysis of Reference in Health Record Statements , 2014, FOIS.

[35]  Letizia Tanca,et al.  Requirements and languages for the semantic representation of manufacturing systems , 2016, Comput. Ind..

[36]  Hajo Rijgersberg,et al.  Ontology of units of measure and related concepts , 2013, Semantic Web.

[37]  C. Maria Keet.  The Use of Foundational Ontologies in Ontology Development: An Empirical Assessment , 2011, ESWC.

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

[39]  Jean-Yves Hascoët,et al.  A new digital chain for additive manufacturing processes , 2010 .

[40]  Fernando Romero,et al.  Knowledge representation for product and processes development planning in collaborative environments , 2014, Int. J. Comput. Integr. Manuf..

[41]  Stefano Borgo,et al.  Foundational Choices in DOLCE , 2009, Handbook on Ontologies.

[42]  Walter Terkaj,et al.  Ontology-based modeling of production systems for design and performance evaluation , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[43]  Ramy Harik,et al.  Manufacturability analysis for additive manufacturing using a novel feature recognition technique , 2018 .

[44]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .

[45]  Ian Gibson,et al.  Additive manufacturing technologies : 3D printing, rapid prototyping, and direct digital manufacturing , 2015 .

[46]  Paul Witherell,et al.  Ontology-Based Laser and Thermal Metamodels for Metal-Based Additive Manufacturing , 2016 .

[47]  Stefano Borgo,et al.  Foundations for a Core Ontology of Manufacturing , 2007, Ontologies.

[48]  Steffen Staab,et al.  What Is an Ontology? , 2009, Handbook on Ontologies.

[49]  H. Herre.  General Formal Ontology (GFO): A Foundational Ontology for Conceptual Modelling , 2010 .

[50]  Amedeo Cesta,et al.  Knowledge-based adaptive agents for manufacturing domains , 2018, Engineering with Computers.

[51]  Stefano Borgo,et al.  Ontological Analysis and Engineering Standards: An Initial Study of IFC , 2015 .

[52]  Michael Gruninger,et al.  Using the PSL Ontology , 2009 .

[53]  Farhad Ameri,et al.  An Intelligent Process Planning System Based on Formal Manufacturing Capability Models , 2013 .

[54]  Alain Bernard,et al.  A Foundational View on Nominal and Actual Qualities in Engineering , 2018, FOIS.