Michael D. Sangid

According to our database, Michael D. Sangid authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A digital engineering framework to facilitate automated data exchange between geometric inspection and structural analysis.

Saikiran Gopalakrishnan, Nathan W. Hartman, Michael D. Sangid

Adv. Eng. Softw., September, 2023

2021

Integrating Materials Model-Based Definitions into Design, Manufacturing, and Sustainment: A Digital Twin Demonstration of Incorporating Residual Stresses in the Lifecycle Analysis of a Turbine Disk.

Saikiran Gopalakrishnan, Nathan W. Hartman, Michael D. Sangid

J. Comput. Inf. Sci. Eng., 2021

3D Fiber Segmentation With Deep Center Regression and Geometric Clustering.

Camilo Aguilar, Mary L. Comer, Imad Hanhan, Ronald Agyei, Michael D. Sangid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks.

Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin

CoRR, 2020

Connected-Tube MPP Model for Unsupervised 3D Fiber Detection.

Tianyu Li, Camilo G. Aguilar, Ronald F. Agyei, Imad A. Hanhan, Michael D. Sangid, Mary L. Comer

Proceedings of the Computational Imaging XVIII, Burlingame, 2020

Void detection and fiber extraction for statistical characterization of fiber-reinforced polymers.

Camilo Aguilar, Imad A. Hanhan, Ronald F. Agyei, Michael D. Sangid, Mary L. Comer

Proceedings of the Computational Imaging XVIII, Burlingame, 2020

2017

Bayesian uncertainty quantification and propagation for validation of a microstructure sensitive model for prediction of fatigue crack initiation.

Saikumar R. Yeratapally, Michael G. Glavicic, Christos Argyrakis, Michael D. Sangid

Reliab. Eng. Syst. Saf., 2017