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Proceedings Papers

Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design

Marshall Allen, Raymundo Arroyave, Richard Malak

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A028, August 14–17, 2022

Paper No: DETC2022-89091

DOI: https://doi.org/10.1115/DETC2022-89091

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Topics: Alloys, Design, Modeling, Artificial neural networks, Manufacturing, Metals, Probability, Algorithms, Engineering simulation, Functionally graded materials

Journal Articles

On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion

Chen Zhang, Lei Xue, Kadri C. Atli, Raymundo Arróyave, Ibrahim Karaman, Alaa Elwany

J. Manuf. Sci. Eng. September 2022, 144(9): 091011.

Paper No: MANU-21-1388

DOI: https://doi.org/10.1115/1.4054935

Published Online: July 29, 2022

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Topics: Lasers, Machine learning, Manufacturing, Nickel, Nickel titanium alloys, Titanium, Surface roughness

Journal Articles

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

Marshall Allen, Tanner Kirk, Richard Malak, Raymundo Arroyave

J. Mech. Des. April 2022, 144(4): 041704.

Paper No: MD-21-1420

DOI: https://doi.org/10.1115/1.4053629

Published Online: February 15, 2022

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Topics: Additive manufacturing, Algorithms, Alloys, Design, Design methodology, Path planning, Sampling methods, Stainless steel, Nickel titanium alloys, Functionally graded materials

Proceedings Papers

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

Marshall Allen, Tanner Kirk, Richard Malak, Raymundo Arroyave

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A004, August 17–19, 2021

Paper No: DETC2021-68836

DOI: https://doi.org/10.1115/DETC2021-68836

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Topics: Alloys, Design, Sampling methods, Design methodology, Functionally graded materials, Metals, Nickel titanium alloys, Shapes, Stainless steel

Journal Articles

Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach

Jiahui Ye, Mohamad Mahmoudi, Kubra Karayagiz, Luke Johnson, Raiyan Seede, Ibrahim Karaman, Raymundo Arroyave, Alaa Elwany

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011111.

Paper No: RISK-21-1012

DOI: https://doi.org/10.1115/1.4052270

Published Online: October 14, 2021

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Topics: Calibration, Simulation models, Alloys, Metals, Additive manufacturing, Uncertainty quantification, Lasers

Journal Articles

Computational Design of Compositionally Graded Alloys for Property Monotonicity

Tanner Kirk, Richard Malak, Raymundo Arroyave

J. Mech. Des. March 2021, 143(3): 031704.

Paper No: MD-20-1397

DOI: https://doi.org/10.1115/1.4048627

Published Online: November 10, 2020

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Topics: Alloys, Design, Functionally graded materials, Design methodology, Path planning

Proceedings Papers

Computational Design of Compositionally Graded Alloys for Property Monotonicity

Tanner Kirk, Richard Malak, Raymundo Arroyave

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A052, August 17–19, 2020

Paper No: DETC2020-22235

DOI: https://doi.org/10.1115/DETC2020-22235

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Topics: Alloys, Design, Clearances (Engineering), Design methodology, Dimensions, Fracture (Materials), Metals, Optimization, Temperature, Thermal expansion

Proceedings Papers

Applying Path Planning to the Design of Additively Manufactured Functionally Graded Materials

Tanner Kirk, Richard Malak, Raymundo Arroyave

Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A013, August 26–29, 2018

Paper No: DETC2018-86002

DOI: https://doi.org/10.1115/DETC2018-86002

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Topics: Additive manufacturing, Design, Functionally graded materials, Path planning, Brittleness, Corrosion resistance, Design methodology, Separation (Technology), Temperature

Journal Articles

Uncertainty Propagation Analysis of Computational Models in Laser Powder Bed Fusion Additive Manufacturing Using Polynomial Chaos Expansions

Gustavo Tapia, Wayne King, Luke Johnson, Raymundo Arroyave, Ibrahim Karaman, Alaa Elwany

J. Manuf. Sci. Eng. December 2018, 140(12): 121006.

Paper No: MANU-17-1695

DOI: https://doi.org/10.1115/1.4041179

Published Online: October 5, 2018

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Topics: Chaos, Polynomials, Uncertainty, Lasers

Journal Articles

Special Issue: Design of Engineered Materials and Structures

Raymundo Arroyave, James Guest, Carolyn Conner Seepersad, Andres Tovar, Yan Wang

J. Mech. Des. November 2018, 140(11): 110301.

Paper No: MD-18-1625

DOI: https://doi.org/10.1115/1.4041254

Published Online: September 18, 2018

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Topics: Design, Optimization

Journal Articles

Interdisciplinary Research on Designing Engineering Material Systems: Results From a National Science Foundation Workshop

Raymundo Arroyave, Samantha Shields, Chi-Ning Chang, Debra Fowler, Richard Malak, Douglas Allaire

J. Mech. Des. November 2018, 140(11): 110801.

Paper No: MD-18-1319

DOI: https://doi.org/10.1115/1.4041177

Published Online: September 10, 2018

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Topics: Design, Workshops (Work spaces)

Journal Articles

Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials

Seyede Fatemeh Ghoreishi, Abhilash Molkeri, Ankit Srivastava, Raymundo Arroyave, Douglas Allaire

J. Mech. Des. November 2018, 140(11): 111409.

Paper No: MD-18-1271

DOI: https://doi.org/10.1115/1.4041034

Published Online: September 7, 2018

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Topics: Design, Optimization, Finite element model, Work hardening

Journal Articles

Computational Design of Gradient Paths in Additively Manufactured Functionally Graded Materials

Tanner Kirk, Edgar Galvan, Richard Malak, Raymundo Arroyave

J. Mech. Des. November 2018, 140(11): 111410.

Paper No: MD-18-1274

DOI: https://doi.org/10.1115/1.4040816

Published Online: September 7, 2018

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Topics: Additive manufacturing, Algorithms, Design, Functionally graded materials, Path planning, Temperature, Manufacturing

Journal Articles

Special Issue: Design of Engineered Materials and Structures

Carolyn Seepersad, Raymundo Arroyave, Guest James, Andres Tovar, Yan Wang

J. Mech. Des. December 2017, 139(12): 128001.

Paper No: MD-17-1645

DOI: https://doi.org/10.1115/1.4038057

Published Online: October 12, 2017

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Topics: Design, Simulation, Optimization

Journal Articles

Bayesian Calibration and Uncertainty Quantification for a Physics-Based Precipitation Model of Nickel–Titanium Shape-Memory Alloys

Gustavo Tapia, Luke Johnson, Brian Franco, Kubra Karayagiz, Ji Ma, Raymundo Arroyave, Ibrahim Karaman, Alaa Elwany

J. Manuf. Sci. Eng. July 2017, 139(7): 071002.

Paper No: MANU-16-1417

DOI: https://doi.org/10.1115/1.4035898

Published Online: March 6, 2017

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Topics: Calibration, Precipitation, Nickel

Journal Articles

A Constraint Satisfaction Algorithm for the Generalized Inverse Phase Stability Problem

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

J. Mech. Des. January 2017, 139(1): 011401.

Paper No: MD-16-1227

DOI: https://doi.org/10.1115/1.4034581

Published Online: October 5, 2016

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Topics: Algorithms, Stability, Design

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

Journal citation

NARROW

Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design

On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach

Computational Design of Compositionally Graded Alloys for Property Monotonicity

Computational Design of Compositionally Graded Alloys for Property Monotonicity

Applying Path Planning to the Design of Additively Manufactured Functionally Graded Materials

Uncertainty Propagation Analysis of Computational Models in Laser Powder Bed Fusion Additive Manufacturing Using Polynomial Chaos Expansions

Special Issue: Design of Engineered Materials and Structures

Interdisciplinary Research on Designing Engineering Material Systems: Results From a National Science Foundation Workshop

Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials

Computational Design of Gradient Paths in Additively Manufactured Functionally Graded Materials

Special Issue: Design of Engineered Materials and Structures

Bayesian Calibration and Uncertainty Quantification for a Physics-Based Precipitation Model of Nickel–Titanium Shape-Memory Alloys

A Constraint Satisfaction Algorithm for the Generalized Inverse Phase Stability Problem

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

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