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  • 601.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Keshavarzmanesh, Shadi
    Univ Western Ontario, Dept Mech & Mat Engn, London, ON, Canada .
    Feng, Hsi-Yung
    Univ British Columbia, Dept Mech Engn, Vancouver, BC V6T 1W5, Canada.
    A function block based approach for increasing adaptability of assembly planning and control2011In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 49, no 16, p. 4903-4924Article in journal (Refereed)
    Abstract [en]

    Today's market turbulences cause frequent changes in manufacturing environments. Products diversity, small batch sizes and short life cycles have increased production uncertainties and created a highly dynamic shop floor environment. One essential requirement of such an environment is an adaptive planning and control system that is sufficiently agile to respond to the variety of production requirements and enable easy system reconfiguration at run-time. When developing a product, assembly is a key area that impacts the manufacturing system's responsiveness to the changes. In this research, a framework and a new methodology are introduced to increase the adaptability and autonomy of job-shop assembly process planning and control using function blocks (FBs). A function block is a reusable functional module with an explicit event-driven model, and provides for data flow and finite state automata based control. Event-driven and FB-enabled decision-making is unique in adaptive assembly planning and control. It is explained through an example of a two-robot assembly work cell, where the result of the adaptive planning is wrapped in FBs for execution. The proposed approach has been implemented and simulated using Matlab Simulink in the case study. The simulation demonstrates how this approach would increase the adaptability and responsiveness to changes that may occur regularly in dynamic job-shop assembly operations.

  • 602.
    Wang, Lihui
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Keshavarzmanesh, Shadi
    The University of Western Ontario, Canada.
    Feng, Hsi-Yung
    The University of British Columbia, Canada.
    Reconfigurable Facility Layout Design for Job-Shop Assembly Operations2011In: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing / [ed] Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb, Springer London, 2011, p. 365-384Chapter in book (Refereed)
    Abstract [en]

    Highly turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues of material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop-floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. Genetic algorithm is used where changes cause the entire shop re-layout, while function blocks are utilized to find the best sequence of robots for the new conditions within the existing layout. This chapter reports the latest development to the authors’ previous work.

  • 603.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Keshavarzmanesh, Shadi
    University of Western Ontario, Dept. of Mechanical and Materials Engineering, London, ON N6A 5B8, Canada.
    Feng, Hsi-Yung (Steve)
    University of British Columbia, Dept. of Mechanical and Materials Engineering, Vancouver, BC V6T 1Z4, Canada.
    A Hybrid Approach for Dynamic Assembly Shop Floor Layout2010In: Proceedings of the 6th IEEE Conference on Automation Science and Engineering, IEEE conference proceedings, 2010, p. 604-609Conference paper (Refereed)
    Abstract [en]

    Highly  turbulent  environment  of  dynamic  job-shop operations affects the shop floor layout problem as well as other areas. Due to frequently altering needs of layout, essential requirements such as adaptability and proactive responsiveness to the dynamic changes need to be considered in addition to the materials  handling  and  machine  relocation  costs  when  a  shop floor is reconfigured from one layout to the next. Targeting the autonomy  and  adaptability  of  dynamic  and  distributed  job-shop  assembly  operations,  this  paper  proposes  to  incorporate function block methodology to deal with the layout issues of the frequently  changing  environment.  This  is  an  extension  to  the authors’ previous work.

  • 604.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Koh, S.C. LennyThe University of Sheffield.
    Enterprise Networks and Logistics for Agile Manufacturing2010Collection (editor) (Other academic)
  • 605.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Ma, Ji
    The University of Western Ontario, Canada.
    Feng, Hsi-Yung
    The University of British Columbia, Canada.
    Web-DPP: A Distributed Process Planning System for Adaptive Machining Operations2009In: Proceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2009 / [ed] Farhad Nabhani, Teesside University , 2009, p. 186-193Conference paper (Refereed)
    Abstract [en]

    Outsourcing, joint ventures, and cross-border collaborations have led to work environments geographically distributed across organizational and national boundaries. Targeting the distributed environment, the Web has been widely used for development of collaborative applications supporting dispersed working groups and organizations, because of its platform, network and operating system transparency, and its easy-to-use browser interface. The objective of this research is to develop an innovative Web-based distributed process planning system (Web-DPP) for machining operations. Our approach tries to engage a dispersed working group in a collaborative environment, allowing the team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development of this system.

  • 606.
    Wang, Lihui
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Ma, Ji
    Department of Mechanical and Materials Engineering, University of Western Ontario, London, Canada.
    Feng, Hsi-Yung
    Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
    Web-DPP: towards job-shop machining process planning and monitoring2011In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 6, no 4, p. 337-353Article in journal (Refereed)
    Abstract [en]

    Outsourcing, joint ventures and cross-border collaborations have led to job environments geographically distributed. Targeting the distributed environment, the web has been widely used for developing collaborative applications due to its platform, network and operating system transparency and easy-to-use interface. Utilising the existing infrastructure, the objective of this research is to develop an integrated Web-based Distributed Process Planning (Web-DPP) system for job-shop machining operations and execution monitoring. Our approach engages a dispersed working group in a collaborative environment, allowing team members to share real-time information through the Web-DPP. This paper presents both the system design specification and the latest development.

  • 607.
    Wang, Lihui
    et al.
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Mohammed, Abdullah
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Wang, Xi Vincent
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Schmidt, Bernard
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Energy-efficient robot applications towards sustainable manufacturing2018In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 31, no 8, p. 692-700Article in journal (Refereed)
    Abstract [en]

    The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path and based on the inverse kinematics and dynamics of the robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the path. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly. This cloud-based energy-efficient approach for robotic applications can largely enhance the current practice as demonstrated by the results of three case studies, leading towards sustainable manufacturing.

  • 608.
    Wang, Lihui
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. KTH Royal Institute of Technology, Stockholm, Sweden.
    Mohammed, Abdullah
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Wang, Xi Vincent
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Schmidt, Bernard
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Recent Advancements of Smart Manufacturing: An Example of Energy-Efficient Robot2016In: Proceedings of the 26th International Conference on Flexible Automation and Intelligent Manufacturing, 2016, p. 884-892Conference paper (Refereed)
    Abstract [en]

    The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a trajectory and based on the inverse kinematics and dynamics of a robot from the cloud, a set of feasible configurations of the robot can be derived, followed by calculating the desirable forces and torques on the joints and links of the robot. Energy consumption is then calculated for each feasible configuration along the trajectory. The ones with the lowest energy consumption are chosen. Since the energy-efficient robot configurations lead to reduced overall energy consumption, this approach becomes instrumental and can be applied to energy-efficient robotic assembly.

  • 609.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Nee, Andrew Y. C.
    Collaborative Design and Planning for Digital Manufacturing2009Collection (editor) (Other academic)
  • 610.
    Wang, Lihui
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Ng, Amos H. C.University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.Deb, KalyanmoyUniversity of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Multi-objective Evolutionary Optimisation for Product Design and Manufacturing2011Collection (editor) (Refereed)
  • 611.
    Wang, Lihui
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden.
    Schmidt, Bernard
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Givehchi, Mohammad
    Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden.
    Adamson, Göran
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Robotic Assembly Planning and Control with Enhanced Adaptability through Function Blocks2015In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 77, no 1-4, p. 705-715Article in journal (Refereed)
    Abstract [en]

    Manufacturing companies today need to maintain a high level of flexibility and adaptability to deal with uncertainties on dynamic shop floors, including e.g. cutting tool shortage, part supply interruption, urgent job insertion or delay, and machine unavailability. Such uncertainties are characteristic in component assembly operations. Addressing the problem, we propose a new method using function blocks to achieve much improved adaptability in assembly planning and robot control. In this paper, we propose to use event-driven function blocks for robotic assembly, aiming to plan trajectory and execute assembly tasks in real-time. It is envisioned that this approach will achieve better adaptability if applied to real-world applications.

  • 612.
    Wang, Lihui
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.
    Schmidt, Bernard
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Nee, Andrew Y. C.
    Department of Mechanical Engineering, National University of Singapore.
    Vision-guided active collision avoidance for human-robot collaborations2013In: Manufacturing Letters, ISSN 2213-8463, Vol. 1, no 1, p. 5-8Article in journal (Refereed)
    Abstract [en]

    This paper reports a novel methodology of real-time active collision avoidance in an augmented environment, where virtual 3D models of robots and real camera images of operators are used for monitoring and collision detection. A prototype system is developed and linked to robot controllers for adaptive robot control, with zero robot programming for end users. According to the result of collision detection, the system can alert an operator, stop a robot, or modify the robot's trajectory away from an approaching operator. Through a case study, it shows that this method can be applied to real-world applications such as human-robot collaborative assembly to safeguard human operators.

  • 613.
    Wang, Lihui
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Song, Yijun
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Gao, Qiaoying
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Designing function blocks for distributed process planning and adaptive control2009In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 22, no 7, p. 1127-1138Article in journal (Refereed)
    Abstract [en]

    The objective of this research is to develop methodologies and a framework for distributed process planning and adaptive control using function blocks. Facilitated by real-time monitoring system, the proposed methodologies can be applied to integrate with functions of dynamic scheduling in a distributed environment. A function block-enabled process planning approach is proposed to handle dynamic changes during process plan generation and execution. This paper focuses mainly on distributed process planning, particularly on the development of a function block designer that can encapsulate generic process plans into function blocks for runtime execution. As function blocks can sense environmental changes on a shop floor, it is expected that a so-generated process plan can adapt itself to the shop floor environment with dynamically optimized solutions for plan execution and process monitoring.

  • 614.
    Wang, Lihui
    et al.
    Department of Production Engineering, KTH Royal Institute of Technology, Sweden.
    Wang, Wei
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, KTH Royal Institute of Technology, Sweden.
    Liu, Dawei
    AVIC Chengdu Aircraft Industrial (Group) Ltd. Co., China.
    Dynamic feature based adaptive process planning for energy-efficient NC machining2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 1, p. 441-444Article in journal (Refereed)
    Abstract [en]

    This paper presents a dynamic feature based adaptive process planning approach that can optimise machining cost, machining time and energy consumption simultaneously. The material removal volume of a dynamic feature is refined into non-overlapping volumes removed respectively by a single machining operation in which unified cutting mode is performed. Benefitting from this refinement, energy consumption is estimated analytically based on instantaneous cutting force as a function of real cutting parameters. Moreover, the cutting parameters assigned to each machining operation are optimised effectively in the unified cutting mode. This novel approach enhances the energy efficiency of NC machining through process planning.

  • 615.
    Wang, Lihui
    et al.
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Yang, Xiaoyu
    School of Applied Science & Technology, Fanshawe College, London, ON, Canada.
    Assembly operator training and process planning via virtual systems2011In: International Journal of Sustainable Engineering, ISSN 1939-7038, E-ISSN 1939-7046, Vol. 4, no 1, p. 57-67Article in journal (Refereed)
    Abstract [en]

    In this paper, we present an integrated intuitive system for assembly operators training and assembly process planning by combining virtual reality with motion-tracking technologies. The developed conceptual prototype for assembly planning and training enables individuals to interact with a virtual environment in real time. It extends the new technologies of motion tracking and integrates them with virtual environment technologies to create real-time virtual work cell simulations in which assembly operators may be immersed with hands-on experiences. In addition to operators training, the experimental results to date are presented to demonstrate the potential contributions of human skills in achieving effective assembly planning including disassembly operations. It is expected that this approach will lead to environment-friendly and sustainable operations by conserving energy and cost that are first tested in a human-emerged virtual system.

  • 616.
    Wilhelmsson, Ulf
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Virtual Systems Research Centre.
    Wallén, Jacob
    Sweden.
    A Combined Model for the Structuring of Computer Game Audio2011In: Game Sound Technology and Player Interaction: Concepts and Developments / [ed] Mark Grimshaw, IGI Global, 2011, p. 98-132Chapter in book (Refereed)
    Abstract [en]

    This chapter presents a model for the structuring of computer game audio building on the IEZA-framework (Huiberts & van Tol, 2008), Murch’s (1998) conceptual model for the production of film sound, and the affordance theory put forth by Gibson (1977/1986). This model makes it possible to plan the audio layering of computer games in terms of the relationship between encoded and embodied sounds, cognitive load, the functionality of the sounds in computer games, the relative loudness between sounds, and the dominant frequency range of all the different sounds. The chapter uses the combined model to provide exemplifying analyses of three computer games—F.E.A.R., Warcraft III, and Legend of Zelda—. Furthermore, the chapter shows how a sound designer can use the suggested model as a production toolset to structure computer game audio from a game design document.

  • 617.
    Xu, Xun
    et al.
    Univ Auckland, Dept Mech Engn, Sch Engn, Auckland 1142, New Zealand.
    Wang, Lihui
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Newman, Stephen T.
    Univ Bath, Dept Mech Engn, Bath BA2 7AY, Avon, England.
    Computer-aided process planning: A critical review of recent developments and future trends2011In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 24, no 1, p. 1-31Article, review/survey (Refereed)
    Abstract [en]

    For the past three decades, computer-aided process planning (CAPP) has attracted a large amount of research interest. A huge volume of literature has been published on this subject. Today, CAPP research faces new challenges owing to the dynamic markets and business globalisation. Thus, there is an urgent need to ascertain the current status and identify future trends of CAPP. Covering articles published on the subjects of CAPP in the past 10 years or so, this article aims to provide an up-to-date review of the CAPP research works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field. First, general information is provided on CAPP. The past reviews are summarised. Discussions about the recent CAPP research are presented in a number of categories, i.e. feature-based technologies, knowledge-based systems, artificial neural networks, genetic algorithms, fuzzy set theory and fuzzy logic, Petri nets, agent-based technology, Internet-based technology, STEP-compliant CAPP and other emerging technologies. Research on some specific aspects of CAPP is also provided. Discussions and analysis of the methods are then presented based on the data gathered from the Elsevier’s Scopus abstract and citation database. The concepts of ‘Subject Strength’ of a journal and ‘technology impact factor’ are introduced and used for discussions based on the publication data. The former is used to gauge the level of focus of a journal on a particular research subject/domain, whereas the latter is used to assess the level of impact of a particular technology, in terms of citation counts. Finally, a discussion on the future development is presented.

  • 618.
    Yang, Xiaoyu
    et al.
    National Research Council of Canada.
    Wang, Lihui
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    VR-Assisted Assembly Planning2009In: The International 3rd Swedish Production Symposium / [ed] B. G. Rosén, The Swedish Production Academy , 2009, p. 423-428Conference paper (Refereed)
    Abstract [en]

    In this paper, we present an intelligent assembly planning and training system combining virtual reality (VR) and motion tracking technologies. The development conceptual prototype for assembly planning and training enables individuals to interact with virtual environment in real time. It extends the new technologies of motion tracking and integrates them with virtual environment technologies to create real-time virtual work cell simulations in which workers may be immersed with hands-on experiences. The experimental results to date are presented to demonstrate the contributions of human skills in achieving intelligent assembly planning.

  • 619.
    Zhang, Dan
    et al.
    University of Ontario Institute of Technology.
    Wang, Lihui
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Gao, Zhen
    University of Ontario Institute of Technology.
    An integrated approach for remote manipulation of a high-performance reconfigurable parallel kinematic machine2010In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 29, no 4, p. 164-172Article in journal (Refereed)
    Abstract [en]

    Flexible and effective manipulation is important and meaningful for the further development and applications of parallel manipulators in the industrial fields, especially for high performance manufacturing. Web-based manufacturing has emerged as an alternative manufacturing technology in a distributed environment. In this paper, an integrated approach is proposed for remote manipulation of the reconfigurable parallel kinematic machine (RPKM) based on sensor-driven Wise-ShopFloor framework. The concept of Wise-ShopFloor integrates the modules of detailed architecture design, module interactions, sensor data utilization and model predictive control. In order to demonstrate the efficiency of this novel methodology, an example of a five degrees-of-freedom (DOF) RPKM is developed for surface finishing. The reconfigurability, the necessary kinematic analysis, and the performance mapping of the 5-DOF RPKM are conducted so as to implement the proposed approach.

  • 620.
    Zhang, Dan
    et al.
    School of Mechanical and Power Engineering, Nanjing University of Technology, China / Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Canada.
    Wang, Lihui
    University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
    Gao, Zhen
    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Canada.
    Su, Xiaoping
    School of Mechanical and Power Engineering, Nanjing University of Technology, Nanjing, China .
    On performance enhancement of parallel kinematic machine2013In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 24, no 2, p. 267-276Article in journal (Refereed)
    Abstract [en]

    This paper proposes a spatial three degrees of freedom (DOF) parallel kinematic machine enhanced by a passive leg and a web-based remote control system. First, the geometric model of the parallel kinematic machine is addressed. In the mechanism, a fourth kinematic link-a passive link connecting the base center to the moving platform center-is introduced. Each of the three parallel limbs is actuated by one prismatic joint, respectively. The additional link has three passive DOF, namely two rotations around x and y axes and one translation along z axis. With the existence of this link, the unwanted motion of the tool (located in the moving platform) is constrained. The fourth link also enhances the global stiffness of the structure and distributes the torque from machining. With the kinematic model, a web-based remote control approach is applied. The concept of the web-based remote manipulation approach is introduced and the principles behind the method are explored in detail. Finally, a remote manipulation is demonstrated to the proposed structure using web-based remote control concept.

  • 621.
    Zhang, Xiaoyang
    et al.
    Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom.
    Lu, Xin
    Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom.
    Wang, Sheng
    Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom.
    Wang, Wei
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Li, Weidong
    Faculty of Engineering, Environment and Computing, Coventry University, Coventry, United Kingdom.
    A multi-sensor based online tool condition monitoring system for milling process2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 1136-1141Article in journal (Refereed)
    Abstract [en]

    Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.

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