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Research Interests

Aims and Scope of Current Research Program

Professor Wang's research aims at generating innovative, adaptive yet practical solutions to solve real-world shop floor problems by applying advanced manufacturing technologies. His research interests are primarily focused on adaptive decision-making methodologies and algorithms from web-based real-time monitoring through adaptive planning to just-in-time control of manufacturing processes and equipment in a decentralised and dynamic environment. With hardware in the loop, his research is also to bridge the gap between virtual manufacturing and real ones, where information can flow freely and bi-directionally between the two. Within the context, computer graphics, artificial intelligence and the latest information technologies are combined with manufacturing science to make adaptive decisions. The scope of this on-going research program is schematically illustrated in the figure below.

Primary Research Topics

  • Energy Modelling for Machining and Robotic Operations
  • Distributed Process Planning and Execution Monitoring
  • Adaptive Setup Planning and Setup Merging
  • Dynamic Generative Assembly Process Planning
  • Active Colision Avoidance between Humans and Robots
  • Human-Robot Collaborative Assembly
  • Function Block Enabled Adaptive Machine Control
  • In-Situ Dicision Support Systems for Mobile Operators
  • Condition-Based Monitoring and Predictive Maintenance
  • Web-Based Sensor-Driven e-Shop Floor
  • Life-Cycle Engineering and Remanufacturing
  • Big Data Analytics and Cloud Manufacturing
  • Cyber-Physical Systems in Manufacturing
  • Brain Robotics for Assembly
  • 4D Printing

Past and Current Research Projects

  • ODIN: Open-Digital-Industrial and Networking Pilot Lines Using Modular Components for Scalable Production, EU H2020-ICT-46-2020 Programme, 2021-2024
  • Closed-Loop 4D Printing with High Precision, The Swedish Research Council, 2018-2021.
  • Research on Operations and Decision-Making Methodologies Based on Dynamic Multi-Scale Data Analysis for Intelligent Workshop, Joint China-Sweden Mobility Programme, STINT (Sweden), 2017-2021.
  • SCOR: A Safety Model for Collaborative Robots, Production2030 Programme, Vinnova (Sweden), 2016-2018
  • COROMA: Cognitively Enhanced Robot for Flexible Manufacturing of Metal and Composite Parts, EU H2020-FoF-2-2016 Programme, 2016-2019
  • SYMBIO-TIC: Symbiotic Human-Robot Collaborative Assembly: Technologies, Innovations and Competitiveness, EU H2020-FoF-6-2014 Programme, 2015-2019
  • DYNAMITE: DYnamic humaN AutoMation InTEraction, Production2030 Programme, Vinnova (Sweden), 2014-2016
  • SMARTER: Sustainable Manufacturing Adaptive Services with Cloud Architectures for Enterprises, EU FP7-PEOPLE-2013-IAPP Programme, 2014-2017
  • CAPP-4-SMEs:Collaborative and Adaptive Process Planning for Sustainable Manufacturing, EU FP7-2012-NMP-ICT-FoF Programme, 2012-2015
  • R&D towards Factories of the Future, Strategic Research Fund, University of Skövde, 2011-2012
  • Wise-ShopFloor: Towards a Web-based Sensor-driven e-Shop Floor, Knowledge Foundation (Sweden), 2011-2014
  • GREENet: Globally Recoverable and Eco-friendly E-equipment Network with Distributed Information Service Management, EU FP7-PEOPLE-2010-IRSES Programme, 2011-2015
  • Development of a Conceptual Demonstrator for Distributed Process Planning, Strategic Research Fund, University of Skövde, 2010-2011
  • Feature-Based Operation Planning, Application within Strategic Vehicle Research and Innovation Initiative (FFI) Programme, Vinnova (Sweden), 2009-2012
  • Reconfigurable and Adaptable Process Plans for Manufacturing, Strategic Project, Natural Sciences and Engineering Research Council of Canada, 2007-2009
  • Function Block Enabled Process Planning and Execution Control for Job Shop Operations, Discovery Grant (Individual), Natural Sciences and Engineering Research Council of Canada, 2005-2009
  • Intelligent Process Planning System for Optimal Multiple Axis CNC Machining, NRC-A*STAR Collaborative Research Grant, National Research Council Canada, 2003-2006
  • Distributed Machining Process Planning for the Dynamic Shop Floor Environment, Enabling Research Grant, Materials & Manufacturing Ontario (Canada), 2003-2005
  • Research on Advanced Distributed Planning and Control in Manufacturing, NRC-NSC Collaborative Research Grant, National Research Council Canada, 2002-2005
  • Sensor-Driven Remote Monitoring and Control of Networked CNC Machines Using Java 3D, Research Grant, FANUC FA and Robot Foundation (Japan), 2002-2003
  • Distributed Process Planning and Control for Reconfigurable Manufacturing, Research Grant (Individual), Natural Sciences and Engineering Research Council of Canada, 2001-2004
  • Study on Thermal Behaviour of Machine Tools, Nitto Research Foundation (Japan), 1997
  • Multimedia-Supported Machining Technology, Advanced Research & Education Grant, Toyohashi University of Technology (Japan), 1997
  • Setup-Less Fabrication Technology, OSG Fund (Japan), 1996
  • Automated CAM Technology for Machining, Research Grant (Group), Japanese Ministry of Education, 1996-1997
  • Machining Feature-Based Fixture Design and Fabrication, Research Grant (Individual), Japanese Ministry of Education, 1996

Notes to Prospective Students

Graduate students, interested in pursuing a PhD degree in the above research topics or areas related to energy modelling, intelligent automation, human-robot collaboration and sustainability research, are encouraged to contact Professor Wang for more information. Self-motivated and responsible students are welcome. Selection of a PhD student is based on the following criteria.

  • Quality: Be knowledgeable and hardworking towards good research performance
  • Attitude: Be reliable, responsible, proactive and dedicated
  • Ability: Be independent and innovative for problem solving
  • Capacity: Can work under pressure and within short due dates
  • Leadership: Can lead a smaller team (e.g. supervising under/graduate students, leading a task in a big project, etc.)