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Proc. ASME. SMASIS2015, Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Modeling, Simulation and Control of Adaptive Systems, V001T01A013, September 21–23, 2015

Paper No: SMASIS2015-9001

DOI: https://doi.org/10.1115/SMASIS2015-9001

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Topics: Alloys, Optimization, Shapes, Uncertainty, Wire, Design, Elastomers, Materials properties, Adaptive structures, Degrees of freedom

Proceedings Papers

Constraint Satisfaction Approach to the Design of Multi-Component, Multi-Phase Alloys

Edgar Galvan, Richard J. Malak, Jr., Sean Gibbons, Raymundo Arroyave

Proc. ASME. IDETC-CIE2014, Volume 2B: 40th Design Automation Conference, V02BT03A010, August 17–20, 2014

Paper No: DETC2014-34707

DOI: https://doi.org/10.1115/DETC2014-34707

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Topics: Alloys, Design, Algorithms, Databases, Stability, Encryption, Equilibrium (Physics), Errors, Evolutionary computation, Inverse problems

Proceedings Papers

Design and Optimization of an SMA-Based Self-Folding Structural Sheet With Sparse Insulating Layers

Edwin A. Peraza Hernandez, Darren J. Hartl, Andreas Kotz, Richard J. Malak, Jr

Proc. ASME. SMASIS2014, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring; Keynote Presentation, V001T01A015, September 8–10, 2014

Paper No: SMASIS2014-7540

DOI: https://doi.org/10.1115/SMASIS2014-7540

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Topics: Design, Optimization, Finite element analysis, Heat transfer, Origami-inspired design, Robotics, Shape memory alloys, Storage, Wire, Wire mesh

Proceedings Papers

An Improved Support Vector Domain Description Method for Modeling Valid Search Domains in Engineering Design Problems

Erin Roach, Robert R. Parker, Richard J. Malak, Jr.

Proc. ASME. IDETC-CIE2011, Volume 5: 37th Design Automation Conference, Parts A and B, 741-751, August 28–31, 2011

Paper No: DETC2011-48435

DOI: https://doi.org/10.1115/DETC2011-48435

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Topics: Engineering design, Modeling, Design, Energy generation, Optimization, Optimization algorithms, Physics, Response surface methodology

Proceedings Papers

Technology Characterization Models and Their Use in Designing Complex Systems

Robert R. Parker, Richard J. Malak, Jr.

Proc. ASME. IDETC-CIE2011, Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B, 1063-1075, August 28–31, 2011

Paper No: DETC2011-48365

DOI: https://doi.org/10.1115/DETC2011-48365

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Topics: Complex systems, Design

Journal Articles

Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Richard J. Malak, Jr., Christiaan J. J. Paredis

J. Mech. Des. October 2010, 132(10): 101001.

DOI: https://doi.org/10.1115/1.4002151

Published Online: September 30, 2010

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Topics: Algorithms, Design, Engines, Machine learning, Modeling, Optimization, Support vector machines, Fittings

Proceedings Papers

Using Support Vector Machines to Formalize the Valid Input Domain of Models in Data-Driven Predictive Modeling for Systems Design

Richard J. Malak, Jr., Christiaan J. J. Paredis

Proc. ASME. IDETC-CIE2009, Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 1423-1436, August 30–September 2, 2009

Paper No: DETC2009-87376

DOI: https://doi.org/10.1115/DETC2009-87376

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Topics: Design, Modeling, Support vector machines, Machine learning

Journal Articles

Using Parameterized Pareto Sets to Model Design Concepts

Richard J. Malak, Jr., Christiaan J. J. Paredis

J. Mech. Des. April 2010, 132(4): 041007.

DOI: https://doi.org/10.1115/1.4001345

Published Online: April 19, 2010

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Topics: Design, Mechanical drives, Modeling, Preferences, Tradeoffs, Conceptual design, Gears, Decision making

Proceedings Papers

Composing Tradeoff Models for Multi-Attribute System-Level Decision Making

Richard J. Malak, Jr., Lina Tucker, Christiaan J. J. Paredis

Proc. ASME. IDETC-CIE2008, Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B, 993-1005, August 3–6, 2008

Paper No: DETC2008-49970

DOI: https://doi.org/10.1115/DETC2008-49970

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Topics: Decision making, Tradeoffs, Modeling, Design

Proceedings Papers

Using Parameterized Pareto Sets to Model Design Concepts

Richard J. Malak, Jr., Christiaan J. J. Paredis

Proc. ASME. IMECE2007, Volume 3: Design and Manufacturing, 215-228, November 11–15, 2007

Paper No: IMECE2007-43226

DOI: https://doi.org/10.1115/IMECE2007-43226

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Topics: Design, Tradeoffs, Conceptual design, Decision making, Mechanical drives, Modeling

Proceedings Papers

On Characterizing and Assessing the Validity of Behavioral Models and Their Predictions

Richard J. Malak, Jr., Christiaan J. J. Paredis

Proc. ASME. IDETC-CIE2004, Volume 3a: 16th International Conference on Design Theory and Methodology, 325-336, September 28–October 2, 2004

Paper No: DETC2004-57452

DOI: https://doi.org/10.1115/DETC2004-57452

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Topics: Design, Product development, Teams

Journal citation

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Supplemental Material

Parametric Optimization of SMA Torsional Actuators for Aircraft Morphing Applications

A Novel Method for Calculating the Parametric Hypervolume Indicator

A Methodology for Designing a Nonlinear Feedback Controller via Parametric Optimization: State-Parameterized Nonlinear Programming Control

Efficient Parametric Optimization for Expensive Single Objective Problems

Efficient Parametric Optimization for Expensive Single Objective Problems

Design Tools for Patterned Self-Folding Reconfigurable Structures Based on Programmable Active Laminates

Analysis and Optimization of a Shape Memory Alloy-Based Self-Folding Sheet Considering Material Uncertainties

Constraint Satisfaction Approach to the Design of Multi-Component, Multi-Phase Alloys

Design and Optimization of an SMA-Based Self-Folding Structural Sheet With Sparse Insulating Layers

An Improved Support Vector Domain Description Method for Modeling Valid Search Domains in Engineering Design Problems

Technology Characterization Models and Their Use in Designing Complex Systems

Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Using Support Vector Machines to Formalize the Valid Input Domain of Models in Data-Driven Predictive Modeling for Systems Design

Using Parameterized Pareto Sets to Model Design Concepts

Composing Tradeoff Models for Multi-Attribute System-Level Decision Making

Using Parameterized Pareto Sets to Model Design Concepts

On Characterizing and Assessing the Validity of Behavioral Models and Their Predictions

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