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Abrasion Resistant Material

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Heping Zhang – One of the best experts on this subject based on the ideXlab platform.

  • Dynamic and Frictional Interaction Between Buoyancy Can Riser Tensioner System and SPAR Hull
    24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 1 Parts A and B, 2005
    Co-Authors: Yousun Li, Jane Q. Zhang, Shankar Bhat Aramanadka, Heping Zhang

    Abstract:

    Buoyancy Can Riser Tensioner (BCRT) systems provide tension to the Top Tensioned Riser (TTR) systems. The main benefit of employing BCRT is that it can minimize the interaction between the floating platform and riser system. The possible lateral impact and dynamic loads which may occur between the SPAR hull and BCRT are minimized by placing the so-called Compliant Guides (CGs) at the sliding interfaces. The CGs are designed to allow relatively free sliding of the BCRT in the riser axial direction, while preventing/minimizing lateral impact loads by providing lateral compliance. CGs are made of high stiffness and Abrasion Resistant Material, such as elastomer Materials. Objective of this study is to develop a numerical capability and analysis procedure to evaluate the spar-riser interaction mechanism and their effects on spar motion and riser response. The newly developed frictional interface element is an essential component of an FE model for the time simulation of the coupled motions of SPAR and riser systems. The algorithm can be used to investigate the dynamic and frictional interaction between the SPAR and BCRTs, such as the friction’s impact on the SPAR motion and riser stresses, and the dynamic load/wear requirements on the CGs.Copyright © 2005 by ASME

  • Dynamic and Frictional Interaction Between Buoyancy Can Riser Tensioner System and SPAR Hull
    24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 1 Parts A and B, 2005
    Co-Authors: Yousun Li, Jane Q. Zhang, Shankar Bhat Aramanadka, Heping Zhang

    Abstract:

    Buoyancy Can Riser Tensioner (BCRT) systems provide tension to the Top Tensioned Riser (TTR) systems. The main benefit of employing BCRT is that it can minimize the interaction between the floating platform and riser system. The possible lateral impact and dynamic loads which may occur between the SPAR hull and BCRT are minimized by placing the so-called Compliant Guides (CGs) at the sliding interfaces. The CGs are designed to allow relatively free sliding of the BCRT in the riser axial direction, while preventing/minimizing lateral impact loads by providing lateral compliance. CGs are made of high stiffness and Abrasion Resistant Material, such as elastomer Materials. Objective of this study is to develop a numerical capability and analysis procedure to evaluate the spar-riser interaction mechanism and their effects on spar motion and riser response. The newly developed frictional interface element is an essential component of an FE model for the time simulation of the coupled motions of SPAR and riser systems. The algorithm can be used to investigate the dynamic and frictional interaction between the SPAR and BCRTs, such as the friction’s impact on the SPAR motion and riser stresses, and the dynamic load/wear requirements on the CGs.Copyright © 2005 by ASME

Yousun Li – One of the best experts on this subject based on the ideXlab platform.

  • Dynamic and Frictional Interaction Between Buoyancy Can Riser Tensioner System and SPAR Hull
    24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 1 Parts A and B, 2005
    Co-Authors: Yousun Li, Jane Q. Zhang, Shankar Bhat Aramanadka, Heping Zhang

    Abstract:

    Buoyancy Can Riser Tensioner (BCRT) systems provide tension to the Top Tensioned Riser (TTR) systems. The main benefit of employing BCRT is that it can minimize the interaction between the floating platform and riser system. The possible lateral impact and dynamic loads which may occur between the SPAR hull and BCRT are minimized by placing the so-called Compliant Guides (CGs) at the sliding interfaces. The CGs are designed to allow relatively free sliding of the BCRT in the riser axial direction, while preventing/minimizing lateral impact loads by providing lateral compliance. CGs are made of high stiffness and Abrasion Resistant Material, such as elastomer Materials. Objective of this study is to develop a numerical capability and analysis procedure to evaluate the spar-riser interaction mechanism and their effects on spar motion and riser response. The newly developed frictional interface element is an essential component of an FE model for the time simulation of the coupled motions of SPAR and riser systems. The algorithm can be used to investigate the dynamic and frictional interaction between the SPAR and BCRTs, such as the friction’s impact on the SPAR motion and riser stresses, and the dynamic load/wear requirements on the CGs.Copyright © 2005 by ASME

  • Dynamic and Frictional Interaction Between Buoyancy Can Riser Tensioner System and SPAR Hull
    24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 1 Parts A and B, 2005
    Co-Authors: Yousun Li, Jane Q. Zhang, Shankar Bhat Aramanadka, Heping Zhang

    Abstract:

    Buoyancy Can Riser Tensioner (BCRT) systems provide tension to the Top Tensioned Riser (TTR) systems. The main benefit of employing BCRT is that it can minimize the interaction between the floating platform and riser system. The possible lateral impact and dynamic loads which may occur between the SPAR hull and BCRT are minimized by placing the so-called Compliant Guides (CGs) at the sliding interfaces. The CGs are designed to allow relatively free sliding of the BCRT in the riser axial direction, while preventing/minimizing lateral impact loads by providing lateral compliance. CGs are made of high stiffness and Abrasion Resistant Material, such as elastomer Materials. Objective of this study is to develop a numerical capability and analysis procedure to evaluate the spar-riser interaction mechanism and their effects on spar motion and riser response. The newly developed frictional interface element is an essential component of an FE model for the time simulation of the coupled motions of SPAR and riser systems. The algorithm can be used to investigate the dynamic and frictional interaction between the SPAR and BCRTs, such as the friction’s impact on the SPAR motion and riser stresses, and the dynamic load/wear requirements on the CGs.Copyright © 2005 by ASME

Parsa Mohammadi – One of the best experts on this subject based on the ideXlab platform.

  • CCECE – Machine learning for quality prediction in AbrasionResistant Material manufacturing process
    2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016
    Co-Authors: Parsa Mohammadi, Z. Jane Wang

    Abstract:

    Quality monitoring and prediction plays a key role in improving product quality and achieving automated quality control in manufacturing processes such as the AbrasionResistant Material manufacturing process. Traditional methods that rely on the use of first-principle models are difficult to formulate due to the increasing complexity and high dimensionality of manufacturing processes. Data-driven machine learning methods offer an efficient way to learn models for quality prediction, in which the meaningful process information can be learned directly from large amounts of measured process data at different stages. In this paper, based on data collected throughout an AbrasionResistant Material manufacturing process, product quality prediction of burned balls is achieved with the use of the Support Vector Machine classification algorithm.

  • machine learning for quality prediction in Abrasion Resistant Material manufacturing process
    Canadian Conference on Electrical and Computer Engineering, 2016
    Co-Authors: Parsa Mohammadi, Jane Z Wang

    Abstract:

    Quality monitoring and prediction plays a key role in improving product quality and achieving automated quality control in manufacturing processes such as the AbrasionResistant Material manufacturing process. Traditional methods that rely on the use of first-principle models are difficult to formulate due to the increasing complexity and high dimensionality of manufacturing processes. Data-driven machine learning methods offer an efficient way to learn models for quality prediction, in which the meaningful process information can be learned directly from large amounts of measured process data at different stages. In this paper, based on data collected throughout an AbrasionResistant Material manufacturing process, product quality prediction of burned balls is achieved with the use of the Support Vector Machine classification algorithm.