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Zhang D.,University of Ontario Institute of Technology | Wang L.,University of Skvde | Gao Z.,University of Ontario Institute of Technology
Journal of Manufacturing Systems | Year: 2010

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. © 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

Bi Z.M.,Indiana University - Purdue University Fort Wayne | Wang L.,University of Skvde
Robotics and Computer-Integrated Manufacturing | Year: 2010

In this paper, a new collaborative robot with omni-wheels has been proposed and its dynamic control has been developed and validated. Collaborative robots (Cobots) have been introduced to guide and assist human operators to move heavy objects in a given trajectory. Most of the existing cobots use steering wheels; typical drawbacks of using steering wheels include the difficulties to (i) follow a trajectory with a curvature larger than that of the base platform, (ii) mount encoders on steering wheels due to self-spinning of the wheels, and (iii) quarantine dynamic control performance since it is purely kinematic control. The new collaborative robot is proposed to overcome the above-mentioned shortcomings. The methodologies for its dynamic control are focused and the simulation has been conducted to validate the control performance of the system. © 2010 Elsevier Ltd.

Keshavarzmanesh S.,University of Western Ontario | Wang L.,University of Skvde | Feng H.-Y.,University of British Columbia
Robotics and Computer-Integrated Manufacturing | Year: 2010

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. GA is used where changes cause the entire shop re-layout, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This paper reports the latest development to the authors' previous work. © 2010 Elsevier Ltd.

Carlberger T.,Saab | Stigh U.,University of Skvde
Thin-Walled Structures | Year: 2010

A specimen is developed for real-like low velocity impact testing of bi-material joint configurations. Six different joint configurations are analysed. Two engineering adhesives are evaluated with and without discrete mechanical fasteners, i.e. adhesive and hybrid joints. Experiments and simulations are performed. The simulations are performed using adhesive cohesive finite elements. Simulations show good agreement with experiments in impact energy and overall deformation mode. The histories of applied load vs. load-point deflection show reasonably good correlation. The results show that the impact energy consumption depends on the joint integrity. A threshold value for the fracture energy of the adhesive seems to exist. Beneath this value, adhesive and discrete fastener work together increasing the impact energy capacity. Above this value the discrete fastener has a negative effect, and may be regarded as a stress concentration. © 2010 Elsevier Ltd All rights resvered.

De Vin L.J.,University of Skvde | Holm M.,University of Skvde | Ng A.H.C.,University of Skvde
Robotics and Computer-Integrated Manufacturing | Year: 2010

This paper presents a description of Modelling and Simulation as used in the Virtual Systems Research Centre at the University of Skvde. It also gives a summarized account of issues discussed in previous work such as phases in a simulation project, Verification, Validation and Accreditation, and the use of simulation as a tool to reduce uncertainty. The role of the human in various phases/activities in simulation projects is highlighted. Examples of both traditional and advanced applications of Virtual Manufacturing are given. Examples of the latter are simulation-based monitoring and diagnostics, and simulation-based optimization. Two models for Information Fusion, the OODA loop and JDL-U model, are discussed, the latter being an extension of the JDL model that describes various levels of information fusion (JDL="joint directors of laboratories"). Subsequently, the activities and phases in a Modelling and Simulation project are placed in the context of the JDL-U model. This comparison shows that there are very strong similarities between the six (05) levels in the JDL-U model and activities/phases in Modelling and Simulation projects. These similarities lead to the conclusion that the JDL-U model with its associated science base can serve as a novel reference model for Modelling and Simulation. In particular, the associated science base on the "user refinement" level could benefit the Virtual Manufacturing community. © 2010 Elsevier Ltd.

Syberfeldt A.,University of Skvde | Syberfeldt S.,University of Skvde
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010 | Year: 2010

This paper describes a serious game that can be used to teach and demonstrate production optimization using artificial intelligence techniques. The game takes place in a physical Lego factory and is designed to be an enjoyable learning experience. © 2010 IEEE.

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