A real-time assessment of the ship design complexity

Caprace, Jean‐David; Rigo, Philippe

doi:10.1016/j.cad.2010.12.005

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…The capabilities of these tools have included algorithms that make design decisions based upon previous experiences, 27,28 automatic mesh generation for the design of concepts, 29 graphs that quickly present pertinent information based upon user generated concepts, 30 and structural analysis of generated concepts. 31 This has included quickly analyzing designs for characteristics such as lifetime, 32,33 reliability, 34 complexity, 35 and cost. 36,37 Several researchers have examined how to examine more information during the preliminary design phase while performing faster analysis to support a quicker down select process.…”

Section: B Engineering Design Workflowsmentioning

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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Section: B Engineering Design Workflowsmentioning

confidence: 99%

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

Sloan

Suram

Bryden

2014

52nd Aerospace Sciences Meeting

View full text Add to dashboard Cite

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“…Richardson et al (2011) implemented one of these software environments in the design of a small jet powered aircraft and found it to be useful when developing novel geometries. Other solutions have included quickly analyzing designs for characteristics such as lifetime (Bohm et al 2010), reliability (Liu, Huang, and Ling 2013), complexity (Caprace and Rigo 2012), and cost, (Cheng, Tsai, and Sudjono 2010, Lin, Lee and Bohez 2012, Mellichamp 2013). …”

Section: Engineering Design Workflowmentioning

confidence: 99%

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

Sloan

2013

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A method for comparing panel complexity to traditional material and production cost estimating techniques

Rigterink

Collette

2013

Ocean Engineering

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A real-time assessment of the ship design complexity

Cited by 8 publications

References 14 publications

Developing an Integrated Computational Environment for the Detailed Design of 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

A method for comparing panel complexity to traditional material and production cost estimating techniques

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