A generative design and drag coefficient prediction system for sedan car side silhouettes based on computational fluid dynamics E Gunpinar, UC Coskun, M Ozsipahi, S Gunpinar Computer-Aided Design 111, 65-79, 2019 | 58 | 2019 |
GenYacht: An interactive generative design system for computer-aided yacht hull design S Khan, E Gunpinar, B Sener Ocean Engineering 191, 106462, 2019 | 51 | 2019 |
A novel design framework for generation and parametric modification of yacht hull surfaces S Khan, E Gunpinar, KM Dogan Ocean Engineering 136, 243-259, 2017 | 51 | 2017 |
A shape sampling technique via particle tracing for CAD models E Gunpinar, S Gunpinar Graphical Models 96, 11-29, 2018 | 49 | 2018 |
Interfacing heterogeneous PDM systems using the PLM Services E Gunpinar, S Han Advanced Engineering Informatics 22 (3), 307-316, 2008 | 46 | 2008 |
Sampling CAD models via an extended teaching–learning-based optimization technique S Khan, E Gunpinar Computer-Aided Design 100, 52-67, 2018 | 41 | 2018 |
A generative sampling system for profile designs with shape constraints and user evaluation KM Dogan, H Suzuki, E Gunpinar, MS Kim Computer-Aided Design 111, 93-112, 2019 | 34 | 2019 |
Evolving a psycho-physical distance metric for generative design exploration of diverse shapes S Khan, E Gunpinar, M Moriguchi, H Suzuki Journal of Mechanical Design 141 (11), 111101, 2019 | 29 | 2019 |
Eye tracking for screening design parameters in adjective-based design of yacht hull KM Dogan, H Suzuki, E Gunpinar Ocean Engineering 166, 262-277, 2018 | 20 | 2018 |
A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design E Gunpinar, S Khan Optimization and Engineering 21 (4), 1319-1357, 2020 | 18 | 2020 |
Feature-aware partitions from the motorcycle graph E Gunpinar, M Moriguchi, H Suzuki, Y Ohtake Computer-Aided Design 47, 85-95, 2014 | 17 | 2014 |
Motorcycle graph enumeration from quadrilateral meshes for reverse engineering E Gunpinar, M Moriguchi, H Suzuki, Y Ohtake Computer-Aided Design 55, 64-80, 2014 | 16 | 2014 |
Customer-centered design sampling for cad products using spatial simulated annealing S Khan, E Gunpinar, M Moriguchi Proceedings of CAD 17, 100-103, 2017 | 13 | 2017 |
Generation of bi-monotone patches from quadrilateral mesh for reverse engineering E Gunpinar, H Suzuki, Y Ohtake, M Moriguchi Computer-Aided Design 45 (2), 440-450, 2013 | 13 | 2013 |
Helical5AM: Five-axis parametrized helical additive manufacturing E Gunpinar, A Armanfar Journal of Materials Processing Technology 304, 117565, 2022 | 12 | 2022 |
Learning yacht hull adjectives and their relationship with hull surface geometry using GMDH-type neural networks for human oriented smart design KM Dogan, E Gunpinar Ocean Engineering 145, 215-229, 2017 | 11 | 2017 |
A user-centered side silhouette generation system for sedan cars based on shape templates E Gunpinar, SE Ovur, S Gunpinar Optimization and Engineering 20, 683-723, 2019 | 10 | 2019 |
4 and 5-Axis additive manufacturing of parts represented using free-form 3D curves E Gunpinar, S Cam Graphical Models 120, 101137, 2022 | 9 | 2022 |
SplineLearner: Generative learning system of design constraints for models represented using B-spline surfaces AA Tasmektepligil, E Gunpinar Advanced Engineering Informatics 51, 101478, 2022 | 9 | 2022 |
Fluid flow-inspired curvature-aware print-paths from hexahedral meshes for additive manufacturing S Cam, E Gunpinar Computer-Aided Design 159, 103500, 2023 | 8 | 2023 |