his.sePublications
Change search
Refine search result
11121314 651 - 664 of 664
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 651.
    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.

  • 652.
    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.

  • 653.
    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.

  • 654.
    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.

  • 655.
    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.

  • 656.
    Wang, Wei
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Sánchez de Ocãna Torroba, Adrian
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Improved Human-Robot Collaboration Through Simulation-Based Optimization2019In: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, p. 153-158, article id 10.3233/ATDE190027Conference paper (Refereed)
    Abstract [en]

    In order to pursue the dream combination of human flexibility and robot automation, human robot collaboration (HRC) is increasingly being investigated through academic research and industrial scenarios. HRC involves several challenges ranging from safety and comfort of the human to process efficiency and cost of robot operation. Achieving the right balance between these aspects is critical to implementing a safe, profitable and sustainable HRC environment. In this paper,we propose the use of simulation-based optimization (SBO) for assembly task allocation and scheduling for a HRC working cell in which an industrial robot assists a human worker. The list of product assembly operations are classified according to the capability of human worker and robot, and the sequencing constraints on them are the initial inputs of the method. The operators’ ergonomic load scores and cycletime of the assembly process are achieved by simulation. The optimized solutions are sorted to find the trade-offs between ergonomics and cycle time. We demonstratethe feasibility of the proposed approach through an industrial case study.

  • 657.
    Wiktorsson, Magnus
    et al.
    KTH Royal Insitute of Technology, Dept of Sustainable Production Development, Södertälje, Sweden.
    Noh, Sang Do
    Sungkyunkwan University, Dept of Industrial Engineering, Suwon, South Korea.
    Bellgran, Monica
    KTH Royal Insitute of Technology, Dept of Sustainable Production Development, Södertälje, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Global Industrial Development, Södertälje, Sweden.
    Smart Factories: South Korean and Swedish examples on manufacturing settings2018In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, p. 471-478Article in journal (Refereed)
    Abstract [en]

    What constitutes a company's capabilities to develop a Smart Factory? South Korean and Swedish perspectives are here illustrated by company examples of smart factory solutions and related strategic aspects of their digitalization. It is concluded that the "smart-factory-capability" of a manufacturing company is integrated with its corporate production systems and includes perspectives on application areas, value adding processes as well as enabling technologies. It is furthermore challenged by the transformational inabilities of legacy systems. By its concrete examples is use and financial benefits, the paper contributes to the definition of the smart factory and its corresponding development scheme. 

  • 658.
    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.

  • 659.
    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.

  • 660.
    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.

  • 661.
    Yousefi, Milad
    et al.
    Department of Production and Transportation Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Yousefi, Moslem
    Department of Mechanical Engineering, Islamic Azad University, Roudehen Branch, Roudehen, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Fogliatto, Flavio
    Department of Production and Transportation Engineering, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Patient visit forecasting in an emergency department using a deep neural network approach2019In: Kybernetes, ISSN 0368-492X, E-ISSN 1758-7883Article in journal (Refereed)
    Abstract [en]

    This study aims to investigate factors affecting daily demand in an emergency department (ED) and to provide a forecasting tool in a public hospital for horizons of up to 7 days.In this study, first the important factors to influence the demand in EDs were extracted from literature then the relevant factors to our study are selected. Then a deep neural network is applied for constructing a reliable predictor.Although many statistical approaches have been proposed for tackling this issue, better forecasts are viable through employing the abilities of machine learning algorithms. Results indicate that the proposed approach outperforms statistical alternatives available in the literature such as multiple linear regression (MLR), autoregressive integrated moving average (ARIMA), support vector regression (SVR), generalized linear models (GLM), generalized estimating equations (GEE), seasonal ARIMA (SARIMA) and combined ARIMA and linear regression (LR) (ARIMA-LR).We applied this study in a single ED to forecast the patient visits. Applying the same method in different EDs may give us a better understanding of the performance of the model. The same approach can be applied in any other demand forecasting after some minor modifications.To the best of our knowledge, this is the first study to propose the use of long short-term memory (LSTM) for constructing a predictor of the number of patient visits in EDs.

  • 662.
    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.

  • 663.
    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.

  • 664.
    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.

11121314 651 - 664 of 664
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf