Université du Québec à Chicoutimi

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    An experimental testing of the SERMA technology for the quality control of green and baked anodes

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    It is well known that the quality of carbon anodes is important for the aluminum industry. Carbon anodes provide the necessary carbon for the reduction reaction in the Hall-Héroult process. An increase in their electrical resistance results in an increase in energy consumption and greenhouse gas emissions. It is thus important to have, at the disposal of the industry, a non-destructive tool to ensure their quality. Current practice uses visual inspection or destructive sampling methods, which offer limited information on the anode quality. In contrast, SERMA (Specific Electrical Resistance Measurement of Anodes) is a non-destructive method that uses the electrical resistivity distribution to determine the state and the integrity of the anode. This method, which can be implemented easily in a production line, allows the quality control of both green and baked anodes. The method used by SERMA has been validated on lab-scale anodes, and the results have been published previously. In this study, a prototype for industrial application has been built, and tests have been carried out on industrial green and baked anodes. In this article, the results of this study will be presented, which shows the ability of the method to detect both green and baked defective anodes

    Safer hybrid workspace using human-robot interaction while sharing production activities

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    In a near future, human and industrial manipulator will work together sharing a common workspace and production activities leading to a potential increase of accident. The research project concerns the adaptation of industrial robot already installed in a flexible manufacturing system in order to make it more interactive with human. The aim concerns the reduction of potential risk of injuries while working with an industrial robot. This paper presents a new inexpensive, non-intrusive, non-invasive, and non-vision-based system, for human detection and collision avoidance. One method investigated for improving safety concerns planning of safe path. This system recognizes human activities and locates operator's position in real time through an instrumented safety helmet. This safety helmet includes an IMU (Inertial Measurement Unit) and an indoor localization system such as RSSI (Received Signal Strength Indication) using industrial wireless equipment. A hybrid workspace including a flexible manufacturing system has been designed in order to practice experiments in an industrial-like environment

    Extremum seeking tuning for reel tension control in haptic application

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    Optimal tension control in parallel mechanisms for balancing wrench at the end‐effector introduces a complex model of the overall system. Moreover, actuator saturations such as motor current and angular velocity limits impose that a non‐linear system be controlled. Such a system is usually controlled sub‐optimally due to the complexity of its model. In haptic applications where transparency and stability are both critical parameters, optimal performance should be achieved. This paper introduces an enhanced FPID auto‐tuning based on Extremum Seeking‐Tuning (ES‐Tuning) which uses a different cost function to find the local optimal solution for haptic rendering and a correction on noise measurement for a high order complex system. The solution of this optimization gives a direct measure of the reel dynamic transparency evaluated by the proposed cost function

    Monitoring of security properties using BeepBeep

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    Runtime enforcement is an effective method to ensure the compliance of program with user-defined security policies. In this paper we show how the stream event processor tool BeepBeep can be used to monitor the security properties of Java programs. The proposed approach relies on AspectJ to generate a trace capturing the program’s runtime behavior. This trace is then processed by BeepBeep, a complex event processing tool that allows complex data-driven policies to be stated and verified with ease. Depending on the result returned by BeepBeep, AspectJ can then be used to halt the execution or take other corrective action. The proposed method offers multiple advantages, notable flexibility in devising and stating expressive user-defined security policies

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