no code implementations • 16 Jan 2024 • Yifan Tang, M. Rahmani Dehaghani, Pouyan Sajadi, G. Gary Wang
Comparison results demonstrate that 1) the source data selection method is general and supports integration with various TL methods and distance metrics, 2) compared with using all source data, the proposed method can find a small subset of source data from the same domain with better TL performance in metal AM regression tasks involving different processes and machines, and 3) when multiple source domains exist, the source data selection method could find the subset from one source domain to obtain comparable or better TL performance than the model constructed using data from all source domains.
no code implementations • 24 Oct 2023 • Yifan Tang, M. Rahmani Dehaghani, Pouyan Sajadi, Shahriar Bakrani Balani, Akshay Dhalpe, Suraj Panicker, Di wu, Eric Coatanea, G. Gary Wang
With measured/predicted temperature profiles of several points on the same layer, the second stage proposes a reduced order model (ROM) (intra-layer prediction model) to decompose and construct the temperature profiles of all points on the same layer, which could be used to build the temperature field of the entire layer.
no code implementations • 18 Oct 2023 • M. Rahmani Dehaghani, Atieh Sahraeidolatkhaneh, Morgan Nilsen, Fredrik Sikström, Pouyan Sajadi, Yifan Tang, G. Gary Wang
This paper explores the dynamic modeling of the DED-LB/w process and introduces a parameter-signature-property modeling and control approach to enhance the quality of modeling and control of part properties that cannot be measured in situ.
no code implementations • 17 May 2023 • Yifan Tang, M. Rahmani Dehaghani, G. Gary Wang
The comparisons are used to quantify the performance of applied TL methods and are discussed from the perspective of similarity, training data size, and data preprocessing.