The Experts below are selected from a list of 73974 Experts worldwide ranked by ideXlab platform
N A Warrior - One of the best experts on this subject based on the ideXlab platform.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:Abstract A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2° to 37.2° following a two-stage optimisation process.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2 degrees to 37.2 degrees following a two-stage optimisation process.
S Chen - One of the best experts on this subject based on the ideXlab platform.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:Abstract A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2° to 37.2° following a two-stage optimisation process.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2 degrees to 37.2 degrees following a two-stage optimisation process.
A Endruweit - One of the best experts on this subject based on the ideXlab platform.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:Abstract A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2° to 37.2° following a two-stage optimisation process.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2 degrees to 37.2 degrees following a two-stage optimisation process.
L T Harper - One of the best experts on this subject based on the ideXlab platform.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:Abstract A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2° to 37.2° following a two-stage optimisation process.
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formability optimisation of fabric preforms by Controlling Material draw in through in plane constraints
Composites Part A-applied Science and Manufacturing, 2015Co-Authors: S Chen, L T Harper, A Endruweit, N A WarriorAbstract:A genetic algorithm is coupled with a finite element model to optimise the arrangement of constraints for a composite press-forming study. A series of springs are used to locally apply in-plane tension through clamps to the fibre preform to control Material draw-in. The optimisation procedure seeks to minimise local in-plane shear angles by determining the optimum location and size of constraining clamps, and the stiffness of connected springs. Results are presented for a double-dome geometry, which are validated against data from the literature. Controlling Material draw-in using in-plane constraints around the blank perimeter is an effective way of homogenising the global shear angle distribution and minimising the maximum value. The peak shear angle in the double-dome example was successfully reduced from 48.2 degrees to 37.2 degrees following a two-stage optimisation process.
C D J Waters - One of the best experts on this subject based on the ideXlab platform.
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supply chain management an introduction to logistics
2009Co-Authors: C D J WatersAbstract:PART I: INTRODUCTION The Context of Logistics Integrating the SC PART II: PLANNING THE SUPPLY CHAIN Logistics Strategy Implementing the Strategy Locating Facilities Planning Resources Controlling Material Flow Measuring & Improving Performance PART III: ACTIVITIES IN THE SUPPLY CHAIN Procurement Inventory Management Warehousing & Material Handling Transport Global Logistics
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logistics an introduction to supply chain management
2003Co-Authors: C D J WatersAbstract:PART ONE: INTRODUCTION - The Context of Logistics - Integrating the Supply Chain - PART TWO: PLANNING THE SUPPLY CHAIN - Logistics Strategy - Implementing the Strategy - Locating Facilities - Planning Resources - Controlling Material Flow - Measuring and Improving Performance - PART THREE: ACTIVITIES IN THE SUPPLY CHAIN - Procurement - Inventory Management - Warehousing and Material Handling - Transport - Global Logistics