The Experts below are selected from a list of 17991 Experts worldwide ranked by ideXlab platform

Patrice Masson - One of the best experts on this subject based on the ideXlab platform.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

Nicolas Quaegebeur - One of the best experts on this subject based on the ideXlab platform.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

Rommert Dekker - One of the best experts on this subject based on the ideXlab platform.

  • improving spare parts inventory control at a repair shop
    Omega-international Journal of Management Science, 2015
    Co-Authors: Willem Van Jaarsveld, Twan Dollevoet, Rommert Dekker
    Abstract:

    We study spare parts inventory control for an Aircraft Component repair shop. Inspection of a defective Component reveals which spare parts are needed to repair it, and in what quantity. Spare part shortages delay repairs, while Aircraft operators demand short Component repair times. Current spare parts inventory optimization methods cannot guarantee the performance on the Component level, which is desired by the operators. To address this shortfall, our model incorporates operator requirements as time-window fill rate requirements for the repair turnaround times for each Component type. In alignment with typical repair shop policies, spare parts are allocated on a first come first served basis to repairs, and their inventory is controlled using (s, S) policies. Our solution approach applies column generation in an integer programming formulation. A novel method is developed to solve the related pricing problem. Paired with efficient rounding procedures, the approach solves real-life instances of the problem, consisting of thousands of spare parts and Components, in minutes.

Pierreclaude Ostiguy - One of the best experts on this subject based on the ideXlab platform.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

  • correlation based imaging technique for fatigue monitoring of riveted lap joint structure
    Smart Materials and Structures, 2014
    Co-Authors: Nicolas Quaegebeur, Pierreclaude Ostiguy, Patrice Masson
    Abstract:

    In the present study, a correlation-based imaging technique called Excitelet is assessed to monitor fatigue crack propagation in a riveted aluminum lap-joint, representative of an Aircraft Component. For this purpose, a micro-machined piezoceramic array is used to generate guided waves into the structure and measure the reflections induced by potential damage. The method uses a propagation model to correlate measured signals with a bank of signals and imaging is performed using a round-robin procedure (full-matrix capture). This allows taking into account the transducer dynamics and finite dimensions, multi-modal and dispersive characteristics of the guided wave propagation and complex interaction between with damage. Experimental validation has been conducted on an aluminum lap-joint instrumented with a compact linear piezoceramic array of 8 circular elements of 3 mm diameter each. The imaging technique is applied to detect crack propagation after fatigue cycling. Imaging results obtained using A0 mode at 300 and 450 kHz are presented for different crack sizes. It is demonstrated that crack detection and localization can be achieved, while the correlation level indicates the level of reflected energy, and thus damage severity. An accuracy below 5 mm on damage location can be achieved, demonstrating the potential of the correlation-based imaging technique for damage monitoring of complex aerospace structures.

Twan Dollevoet - One of the best experts on this subject based on the ideXlab platform.

  • improving spare parts inventory control at a repair shop
    Omega-international Journal of Management Science, 2015
    Co-Authors: Willem Van Jaarsveld, Twan Dollevoet, Rommert Dekker
    Abstract:

    We study spare parts inventory control for an Aircraft Component repair shop. Inspection of a defective Component reveals which spare parts are needed to repair it, and in what quantity. Spare part shortages delay repairs, while Aircraft operators demand short Component repair times. Current spare parts inventory optimization methods cannot guarantee the performance on the Component level, which is desired by the operators. To address this shortfall, our model incorporates operator requirements as time-window fill rate requirements for the repair turnaround times for each Component type. In alignment with typical repair shop policies, spare parts are allocated on a first come first served basis to repairs, and their inventory is controlled using (s, S) policies. Our solution approach applies column generation in an integer programming formulation. A novel method is developed to solve the related pricing problem. Paired with efficient rounding procedures, the approach solves real-life instances of the problem, consisting of thousands of spare parts and Components, in minutes.

  • spare parts inventory control for an Aircraft Component repair shop
    Econometric Institute Research Papers, 2011
    Co-Authors: Willem Van Jaarsveld, Twan Dollevoet
    Abstract:

    We study spare parts inventory control for a repair shop for Aircraft Components. Defect Components that are removed from the Aircraft are sent to such a shop for repair. Only after inspection of the Component, it becomes clear which specific spare parts are needed to repair it, and in what quantity they are needed. Market requirements on shop performance are reflected in fill rate requirements on the turn around times of the repairs for each Component type. The inventory for spare parts is controlled by independent min-max policies. Because parts may be used in the repair of different Component types, the resulting optimization problem has a combinatorial nature. Practical instances may consist of 500 Component types and 4000 parts, and thus pose a significant computational challenge. We propose a solution algorithm based on column generation. We study the pricing problem, and develop a method that is very efficient in (repeatedly) solving this pricing problem. With this method, it becomes feasible to solve practical instances of the problem in minutes.