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Proceedings Papers

A Topology Optimization Methodology With Vibration Constraint for an Aerospace Bracket Design

Hüseyin Karabiyik, Osman Eroglu, Muhammed Metin Eskimez, Berk Oncu Oncul, Muhammet Tayyip Yilmaz, İstemihan Gökdağ, Recep M. Gorguluarslan

Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A005, October 30–November 3, 2022

Paper No: IMECE2022-95843

DOI: https://doi.org/10.1115/IMECE2022-95843

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Topics: Additive manufacturing, Aerospace industry, Design, Topology optimization, Vibration

Proceedings Papers

Evaluation of Deep Learning Networks for Predicting Truss Topology Optimization Results

Recep M. Gorguluarslan, Gorkem Can Ates

Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A011, October 30–November 3, 2022

Paper No: IMECE2022-95870

DOI: https://doi.org/10.1115/IMECE2022-95870

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Topics: Artificial neural networks, Topology optimization, Trusses (Building)

Proceedings Papers

Design of a 3D Aerospace Bracket Using Lattice Structures and Topology Optimization for Additive Manufacturing

Gorkem Can Ates, Mehmet Demirtunç, Ali Cem Göçer, Abdulhamid Han Doğru, Recep M. Gorguluarslan, İstemihan Gökdağ, Hakan Yavaş

Proc. ASME. IMECE2021, Volume 4: Advances in Aerospace Technology, V004T04A010, November 1–5, 2021

Paper No: IMECE2021-71476

DOI: https://doi.org/10.1115/IMECE2021-71476

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Topics: Additive manufacturing, Aerospace industry, Design, Finite element analysis, Optimization, Topology

Proceedings Papers

Evaluation of Differences Between FEA Predictions With Geometric Variations and Tensile Tests of Strut Specimens of Lattice Structures Fabricated by Material Extrusion

Recep M. Gorguluarslan, O. Utku Gungor, Huseyin Karabiyik

Proc. ASME. IMECE2021, Volume 2A: Advanced Manufacturing, V02AT02A014, November 1–5, 2021

Paper No: IMECE2021-71563

DOI: https://doi.org/10.1115/IMECE2021-71563

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Topics: Extruding, Finite element analysis, Struts (Engineering)

Journal Articles

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, Gorkem Can Ates, O. Utku Gungor, Yusuf Yamaner

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031001.

Paper No: JCISE-21-1268

DOI: https://doi.org/10.1115/1.4053001

Published Online: December 10, 2021

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Topics: Artificial neural networks, Modeling, Struts (Engineering), Uncertainty, Additive manufacturing, Microscopes

Includes: Supplementary data

Proceedings Papers

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, Gorkem Can Ates, O. Utku Gungor, Yusuf Yamaner

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A040, August 17–19, 2021

Paper No: DETC2021-69985

DOI: https://doi.org/10.1115/DETC2021-69985

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Topics: Additive manufacturing, Artificial neural networks, Extruding, Struts (Engineering), Uncertainty

Proceedings Papers

Investigation of Spatial Variability on Strut Diameters of Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, O. Utku Gungor

Proc. ASME. IMECE2020, Volume 2A: Advanced Manufacturing, V02AT02A041, November 16–19, 2020

Paper No: IMECE2020-23752

DOI: https://doi.org/10.1115/IMECE2020-23752

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Topics: Additive manufacturing, Struts (Engineering)

Proceedings Papers

Additive Manufacturing of Kevlar Reinforced Epoxy Composites

Nashat Nawafleh, Jordan Chabot, Mutabe Aljaghtham, Cagri Oztan, Edward Dauer, Recep M. Gorguluarslan, Teyfik Demir, Emrah Celik

Proc. ASME. IMECE2019, Volume 2A: Advanced Manufacturing, V02AT02A067, November 11–14, 2019

Paper No: IMECE2019-12215

DOI: https://doi.org/10.1115/IMECE2019-12215

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Topics: Additive manufacturing, Composite materials, Epoxy adhesives, Epoxy resins

Proceedings Papers

A Parametric Modeling Approach for Prediction of Load Distribution due to Fluid Structure Interaction on Aircraft Structures

Ahmet Barutcu, Recep M. Gorguluarslan

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A020, August 18–21, 2019

Paper No: DETC2019-98008

DOI: https://doi.org/10.1115/DETC2019-98008

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Topics: Aircraft, Fluid structure interaction, Modeling, Stress

Proceedings Papers

Stochastic Simulation of Turbine Engine Component Under Aleatory and Epistemic Uncertainty

Austin M. McKeand, Recep M. Gorguluarslan, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A070, August 18–21, 2019

Paper No: DETC2019-97764

DOI: https://doi.org/10.1115/DETC2019-97764

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Topics: Gas turbines, Simulation, Uncertainty, Aerospace industry, Elastic moduli, Engineering simulation, Computerized tomography, Design, Finite element model, Materials properties

Journal Articles

Multiscale Modeling of Turbine Engine Component Under Manufacturing Uncertainty

Austin M. McKeand, Recep M. Gorguluarslan, Jeff Brown, Seung-Kyum Choi

J. Comput. Inf. Sci. Eng. December 2019, 19(4): 041017.

Paper No: JCISE-18-1287

DOI: https://doi.org/10.1115/1.4044011

Published Online: August 5, 2019

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Topics: Gas turbines, Geometry, Manufacturing, Multiscale modeling, Simulation, Turbine blades, Uncertainty, Uncertainty quantification, Modeling, Finite element model

Proceedings Papers

A Stochastic Approach for Performance Prediction of Aircraft Engine Components Under Manufacturing Uncertainty

Austin M. McKeand, Recep M. Gorguluarslan, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A045, August 26–29, 2018

Paper No: DETC2018-85415

DOI: https://doi.org/10.1115/DETC2018-85415

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Topics: Aircraft engines, Manufacturing, Uncertainty, Accounting, Design, Event history analysis, Modeling, Turbine blades

Proceedings Papers

Uncertainty Quantification and Validation of Lattice Structures Fabricated by Selective Laser Melting

Recep M. Gorguluarslan, Seung-Kyum Choi, Hae-jin Choi

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A085, August 6–9, 2017

Paper No: DETC2017-67438

DOI: https://doi.org/10.1115/DETC2017-67438

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Topics: Lasers, Melting, Uncertainty quantification, Struts (Engineering), Uncertainty, Additive manufacturing, Simulation models, Accounting, Compression, Elasticity

Proceedings Papers

A Validation Approach for the Multiscale Modeling of Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A055, August 21–24, 2016

Paper No: DETC2016-60169

DOI: https://doi.org/10.1115/DETC2016-60169

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Topics: Additive manufacturing, Multiscale modeling, Engineering simulation, Geometry, Materials properties, Simulation

Proceedings Papers

Reliability Estimation of Stretchable Electronics Using a Dimension Reduction Framework

Sungkun Hwang, Recep M. Gorguluarslan, Seung-Kyum Choi, Junki Min, Jack Moon

Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A025, August 21–24, 2016

Paper No: DETC2016-59995

DOI: https://doi.org/10.1115/DETC2016-59995

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Topics: Dimensions, Electronics, Reliability, Artificial neural networks, Algorithms, Entropy, Feature extraction, Feature selection, Principal component analysis, Solder joints

Proceedings Papers

Material Characterization of Additively Manufactured Part via Multi-Level Stochastic Upscaling Method

Recep M. Gorguluarslan, Sang-In Park, David W. Rosen, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A052, August 2–5, 2015

Paper No: DETC2015-46822

DOI: https://doi.org/10.1115/DETC2015-46822

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Topics: Additive manufacturing, Chaos, Materials properties, Multiscale modeling, Polynomials, Simulation, Uncertainty, Uncertainty quantification

Proceedings Papers

A Design and Fabrication Framework for Periodic Lattice-Based Cellular Structures in Additive Manufacturing

Recep M. Gorguluarslan, Umesh N. Gandhi, Raghuram Mandapati, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2015, Volume 1A: 35th Computers and Information in Engineering Conference, V01AT02A025, August 2–5, 2015

Paper No: DETC2015-46830

DOI: https://doi.org/10.1115/DETC2015-46830

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Topics: Additive manufacturing, Design, Manufacturing, Finite element analysis, Optimization, Buckling, Compression, Cross section (Physics), Engineering simulation, Materials properties

Journal Articles

A Multilevel Upscaling Method for Material Characterization of Additively Manufactured Part Under Uncertainties

Recep M. Gorguluarslan, Sang-In Park, David W. Rosen, Seung-Kyum Choi

J. Mech. Des. November 2015, 137(11): 111408.

Paper No: MD-15-1036

DOI: https://doi.org/10.1115/1.4031012

Published Online: October 12, 2015

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Topics: Optimization, Simulation, Struts (Engineering), Uncertainty, Additive manufacturing, Materials properties, Modeling, Young's modulus, Finite element model, Errors

Proceedings Papers

An Improved Stochastic Upscaling Method for Multiscale Engineering Systems

Recep M. Gorguluarslan, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2014, Volume 2B: 40th Design Automation Conference, V02BT03A047, August 17–20, 2014

Paper No: DETC2014-34418

DOI: https://doi.org/10.1115/DETC2014-34418

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Topics: Chaos, Engineering design, Engineering systems and industry applications, Genetic algorithms, Materials properties, Multiscale modeling, Optimization, Polynomials, Quadratic programming, Structural engineering

Proceedings Papers

Predicting Reliability of Structural Systems Using Classification Method

Recep M. Gorguluarslan, Seung-Kyum Choi

Proc. ASME. IDETC-CIE2013, Volume 2A: 33rd Computers and Information in Engineering Conference, V02AT02A030, August 4–7, 2013

Paper No: DETC2013-13323

DOI: https://doi.org/10.1115/DETC2013-13323

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Topics: Reliability, Manufacturing, Fatigue life, Failure, Finite element analysis, Probability, Artificial neural networks, Design, Stress, Structural analysis

Journal citation

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Supplemental Material

A Topology Optimization Methodology With Vibration Constraint for an Aerospace Bracket Design

Evaluation of Deep Learning Networks for Predicting Truss Topology Optimization Results

Design of a 3D Aerospace Bracket Using Lattice Structures and Topology Optimization for Additive Manufacturing

Evaluation of Differences Between FEA Predictions With Geometric Variations and Tensile Tests of Strut Specimens of Lattice Structures Fabricated by Material Extrusion

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Investigation of Spatial Variability on Strut Diameters of Additively Manufactured Lattice Structures

Additive Manufacturing of Kevlar Reinforced Epoxy Composites

A Parametric Modeling Approach for Prediction of Load Distribution due to Fluid Structure Interaction on Aircraft Structures

Stochastic Simulation of Turbine Engine Component Under Aleatory and Epistemic Uncertainty

Multiscale Modeling of Turbine Engine Component Under Manufacturing Uncertainty

A Stochastic Approach for Performance Prediction of Aircraft Engine Components Under Manufacturing Uncertainty

Uncertainty Quantification and Validation of Lattice Structures Fabricated by Selective Laser Melting

A Validation Approach for the Multiscale Modeling of Additively Manufactured Lattice Structures

Reliability Estimation of Stretchable Electronics Using a Dimension Reduction Framework

Material Characterization of Additively Manufactured Part via Multi-Level Stochastic Upscaling Method

A Design and Fabrication Framework for Periodic Lattice-Based Cellular Structures in Additive Manufacturing

A Multilevel Upscaling Method for Material Characterization of Additively Manufactured Part Under Uncertainties

An Improved Stochastic Upscaling Method for Multiscale Engineering Systems

Predicting Reliability of Structural Systems Using Classification Method

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