Proper Orthogonal Decomposition-Based Reduced Order Model of a Hydraulic Mixing Nozzle

Suram, Sunil; McCorkle, Douglas S.; Bryden, Kenneth M.

doi:10.2514/6.2008-5965

Cited by 5 publications

(9 citation statements)

References 6 publications

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“…In the past ROMs have been used to predict limited geometry changes of designs that could be defined by a single variable (Hay et al 2010, McCorkle andBryden 2011) or an equation to describe a curve (Suram, McCorkle, Bryden 2008, Raghavan et al 2013), but the geometries in this research were too complicated to be defined by either method. Zonal models have been used in concert with reduced order models that improved the accuracy of results for cases of shape optimization (Iuliano and Quagliarella 2013).…”

Section: Design Applicationmentioning

confidence: 99%

Orthogonal decomposition as a design tool: With application to a mixing impeller

Sloan

2013

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Section: Design Applicationmentioning

confidence: 99%

Orthogonal decomposition as a design tool: With application to a mixing impeller

Sloan

2013

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“…Due to these varying mixing impeller geometries the meshes used to conduct these simulations correspondingly varied in size. In the past ROMs have been used to predict limited geometry changes of designs that could be defined by a single variable 57 or an equation to describe a curve 58 but the geometries in this research were too complicated to be defined by either method. Proper orthogonal decomposition requires that ever snapshot inputted have exactly the same number of nodes in the mesh.…”

Section: Design Applicationmentioning

confidence: 99%

Developing an Integrated Computational Environment for the Detailed Design of a Mixing Impeller

Sloan

Suram

Bryden

2014

52nd Aerospace Sciences Meeting

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Digital manufacturing significantly reduces the expense and time required to produce custom products. Utilizing this technology, a customized product can be quickly manufactured. But the timescale and expense of the engineering design workflows used to develop these customized products have not been adapted from the workflows used in mass production due to the development of high fidelity models. But with digital manufacturing the economies of scale are eliminated such that producing many unique designs or many of the same designs result in the same manufacturing cost. Developing a design workflow that utilizes the developed and validated high fidelity models of the already produced design can reduce the amount of time and expense developing a slightly varied customized design. Reduced order modeling enables this reuse and magnification of existing high fidelity models by creating a computationally inexpensive representation of a model from high fidelity data. This thesis explores the integration of reduced order modeling and detailed analysis into the engineering design workflow developing a customized design using digital manufacturing. Specifically detailed analysis is coupled with proper orthogonal decomposition to enable the exploration of the design space while simultaneously shaping the model representing the design. This revised workflow is examined using the design of a laboratory scale overhead mixing impeller. The case study presented here is compared with the design of the Kar Dynamic Mixer developed by the Dow Chemical Company. The result of which is a customized design for a refined set of operating conditions with improved performance. Digital manufacturing significantly reduces the expense and time required to produce custom products. Utilizing this technology, a customized product can be quickly manufactured. But the timescale and expense of the engineering design workflows used to develop these customized products have not been adapted from the workflows used in mass production due to the development of high fidelity models. But with digital manufacturing the economies of scale are eliminated such that producing many unique designs or many of the same designs result in the same manufacturing cost. Developing a design workflow that utilizes the developed and validated high fidelity models of the already produced design can reduce the amount of time and expense developing a slightly varied customized design. Reduced order modeling enables this reuse and magnification of existing high fidelity models by creating a computationally inexpensive representation of a model from high fidelity data. This thesis explores the integration of reduced order modeling and detailed analysis into the engineering design workflow developing a customized design using digital manufacturing. Specifically detailed analysis is coupled with proper orthogonal decomposition to enable the exploration of the design space while simultaneously shaping the model representing the design. This revised workflow is examined ...

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“…One challenge is the application of POD to a geometry change. In the past ROMs have been used to predict limited geometry changes of designs that could be defined by a single variable (Hay et al 2010, McCorkle andBryden 2011) or an equation to describe a curve (Suram, McCorkle, Bryden 2008, Raghavan et al 2013), but the geometries in this research were too complicated to be defined by either method. Zonal models have been used in concert with reduced order models that improved the accuracy of results for cases of shape optimization (Iuliano and Quagliarella 2013).…”

Section: Design Applicationmentioning

confidence: 96%

Orthogonal decomposition as a design tool: With application to a mixing impeller

Sloan

View full text Add to dashboard Cite

Proper Orthogonal Decomposition-Based Reduced Order Model of a Hydraulic Mixing Nozzle

Cited by 5 publications

References 6 publications

Orthogonal decomposition as a design tool: With application to a mixing impeller

Orthogonal decomposition as a design tool: With application to a mixing impeller

Developing an Integrated Computational Environment for the Detailed Design of a Mixing Impeller

Orthogonal decomposition as a design tool: With application to a mixing impeller

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