High performance computing on a symmetric multiprocessor (SMP) environment for RTM process modeling of large complex structural geometries

R. Kanapady; K. K. Tamma; M. Baddourah; A. Mark

doi:10.1016/S0965-9978(98)00002-7

High performance computing on a symmetric multiprocessor (SMP) environment for RTM process modeling of large complex structural geometries

R. Kanapady, K. K. Tamma, M. Baddourah, A. Mark

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The present paper discusses finite element computational schemes, data structures and interprocessor communication strategies for the implementation of advanced manufacturing simulations with particular emphasis on isothermal resin transfer molding (RTM) process manufacturing simulations on the symmetric multiprocessor (SGI Power Challenge). Thin shell composite mold configurations are used to illustrate the validity of the present implementation of a recently developed and new pure finite element implicit methodology in conjunction with a diagonal preconditioned conjugate gradient method for parallel computations including the process simulations techniques in a SGI Power Challenge node. The techniques developed are applied to large scale problems using a Power Challenge node to demonstrate the practical applicability.

Original language	English (US)
Pages (from-to)	399-408
Number of pages	10
Journal	Advances in Engineering Software
Volume	29
Issue number	3-6
DOIs	https://doi.org/10.1016/S0965-9978(98)00002-7
State	Published - 1998

Bibliographical note

Funding Information:
The authors from the University of Minnesota are very pleased to acknowledge the support from the U.S. Army Research Office (ARO), Research Triangle Park, North Carolina under grant number DAAH04-96-1-0172. Special thanks are due to Ram V. Mohan and Dale Shires. Thanks are also due to Mr Bill Mermagen Sr, of CICC, U.S. Army Research Laboratory, the IMT Computational Technical Activities at the ARL/MSRC computing facilities, and to Mr C. Nietubicz of the ARL/MSRC. Additional support in the form of computer grants from the Minnesota Supercomputer Institute (MSI), University of Minnesota are also acknowledged.

Keywords

Parallel computations
Process Modeling
Resin Transfer Molding

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title = "High performance computing on a symmetric multiprocessor (SMP) environment for RTM process modeling of large complex structural geometries",

abstract = "The present paper discusses finite element computational schemes, data structures and interprocessor communication strategies for the implementation of advanced manufacturing simulations with particular emphasis on isothermal resin transfer molding (RTM) process manufacturing simulations on the symmetric multiprocessor (SGI Power Challenge). Thin shell composite mold configurations are used to illustrate the validity of the present implementation of a recently developed and new pure finite element implicit methodology in conjunction with a diagonal preconditioned conjugate gradient method for parallel computations including the process simulations techniques in a SGI Power Challenge node. The techniques developed are applied to large scale problems using a Power Challenge node to demonstrate the practical applicability.",

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note = "Funding Information: The authors from the University of Minnesota are very pleased to acknowledge the support from the U.S. Army Research Office (ARO), Research Triangle Park, North Carolina under grant number DAAH04-96-1-0172. Special thanks are due to Ram V. Mohan and Dale Shires. Thanks are also due to Mr Bill Mermagen Sr, of CICC, U.S. Army Research Laboratory, the IMT Computational Technical Activities at the ARL/MSRC computing facilities, and to Mr C. Nietubicz of the ARL/MSRC. Additional support in the form of computer grants from the Minnesota Supercomputer Institute (MSI), University of Minnesota are also acknowledged.",

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AU - Kanapady, R.

AU - Tamma, K. K.

AU - Baddourah, M.

AU - Mark, A.

N1 - Funding Information: The authors from the University of Minnesota are very pleased to acknowledge the support from the U.S. Army Research Office (ARO), Research Triangle Park, North Carolina under grant number DAAH04-96-1-0172. Special thanks are due to Ram V. Mohan and Dale Shires. Thanks are also due to Mr Bill Mermagen Sr, of CICC, U.S. Army Research Laboratory, the IMT Computational Technical Activities at the ARL/MSRC computing facilities, and to Mr C. Nietubicz of the ARL/MSRC. Additional support in the form of computer grants from the Minnesota Supercomputer Institute (MSI), University of Minnesota are also acknowledged.

PY - 1998

Y1 - 1998

N2 - The present paper discusses finite element computational schemes, data structures and interprocessor communication strategies for the implementation of advanced manufacturing simulations with particular emphasis on isothermal resin transfer molding (RTM) process manufacturing simulations on the symmetric multiprocessor (SGI Power Challenge). Thin shell composite mold configurations are used to illustrate the validity of the present implementation of a recently developed and new pure finite element implicit methodology in conjunction with a diagonal preconditioned conjugate gradient method for parallel computations including the process simulations techniques in a SGI Power Challenge node. The techniques developed are applied to large scale problems using a Power Challenge node to demonstrate the practical applicability.

AB - The present paper discusses finite element computational schemes, data structures and interprocessor communication strategies for the implementation of advanced manufacturing simulations with particular emphasis on isothermal resin transfer molding (RTM) process manufacturing simulations on the symmetric multiprocessor (SGI Power Challenge). Thin shell composite mold configurations are used to illustrate the validity of the present implementation of a recently developed and new pure finite element implicit methodology in conjunction with a diagonal preconditioned conjugate gradient method for parallel computations including the process simulations techniques in a SGI Power Challenge node. The techniques developed are applied to large scale problems using a Power Challenge node to demonstrate the practical applicability.

KW - Parallel computations

KW - Process Modeling

KW - Resin Transfer Molding

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High performance computing on a symmetric multiprocessor (SMP) environment for RTM process modeling of large complex structural geometries

Abstract

Bibliographical note

Keywords

UN SDGs

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