Usman Tariq

ORCID: 0009-0009-9266-4253
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Welding Techniques and Residual Stresses
  • High Entropy Alloys Studies
  • Digital Transformation in Industry
  • Perovskite Materials and Applications
  • Industrial Vision Systems and Defect Detection
  • Politics and Conflicts in Afghanistan, Pakistan, and Middle East
  • Advanced Welding Techniques Analysis
  • Belt and Road Initiative

Missouri University of Science and Technology
2023-2024

Shaoxing University
2022

University of Sargodha
2020

Purpose This study aims to discuss the state-of-the-art digital factory (DF) development combining twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive (SM) processes. The current shortcomings outlook of DF also have been highlighted. A is a facility that uses innovative technologies, including automation, artificial intelligence (AI), Internet Things, (AM), SM, hybrid (HM), sensors for real-time feedback control, DT, streamline improve operations....

10.1108/rpj-03-2023-0113 article EN Rapid Prototyping Journal 2023-08-11

Laser-directed energy deposition (DED), a metal additive manufacturing method, is renowned for its role in repairing parts, particularly when replacement costs are prohibitive. Ensuring that repaired parts avoid residual stresses and deformation crucial maintaining functional integrity. This study conducts experimental numerical analyses on trapezoidal shape repairs, validating both the thermal mechanical models with results. Additionally, presents methodology creating toolpath applicable to...

10.3390/ma17102179 article EN Materials 2024-05-07

In directed energy deposition (DED), accurately controlling and predicting melt pool characteristics is essential for ensuring desired material qualities geometric accuracies. This paper introduces a robust surrogate model based on recurrent neural network (RNN) architectures—Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent Unit (GRU). Leveraging time series dataset from multi-physics simulations three-factor, three-level experimental design, the predicts peak...

10.3390/ma17174363 article EN Materials 2024-09-03

First-principles method based on density functional theory calculations are employed for investigating the electronic, optical and thermoelectric properties of XAlO 3 (X= Sm, Eu, Gd) energy-devices applications. The spin-polarized electronic spectra depicts their half metallic nature since mere spin up channel crosses fermi level. Further, features instance, dielectric functions, refractive index, absorption coefficient, extinction conductivity, reflectivity, energy loss function studied...

10.2139/ssrn.4231467 article EN SSRN Electronic Journal 2022-01-01
Coming Soon ...