Facilities

Our lab is equipped with advanced experimental and computational resources to support cutting-edge research in metal additive manufacturing, multiphysics modeling, and physics-informed machine learning.

Additive Manufacturing

Xact Metal XM200G – Laser Powder Bed Fusion (LPBF) 3D Printer

Xact Metal XM200G Printer

The Xact Metal XM200G is a state-of-the-art metal laser powder bed fusion (LPBF) 3D printer featuring:

  • Laser: Single 200 W Ytterbium fiber laser
  • Build volume: 150 × 150 × 150 mm (5.9 × 5.9 × 5.9 in)
  • Spot size: 100 μm
  • Layer thickness: 20–100 μm
  • Supported materials: Stainless steels (316L, 17-4 PH), aluminum (AlSi10Mg), titanium (Ti64)
  • Integrated glovebox and powder handling for safe, efficient operation

This system enables high-precision, high-performance metal AM for research and prototyping.

Diagnostics & Sensing

Single-Camera Two-Wavelength Pyrometry (STWP) System

A cutting-edge diagnostic system for high-speed thermal imaging during LPBF and other high-temperature processes.

Key features:

  • Temperature range: 800–3000 K
  • Spatial resolution: 48.83 μm/pixel over 50 mm × 50 mm field of view
  • Frame rate: Up to 6,400 fps at 1024 × 1024 pixels; up to 800,000 fps with reduced field of view (128 × 16 pixels)
  • Dual-wavelength pyrometry: Captures radiative intensities at 550 nm and 620 nm to calculate melt pool temperature via Planck’s law
  • Optics: 50:50 and polarizing beamsplitters, co-axial alignment for accurate in-situ monitoring

Applications include real-time monitoring of melt pool dynamics, failure detection, and high-temperature oxidation studies.

Computational Resources

Local Workstations

  • High-performance workstation:
    • Intel® Core™ i9-10980XE (18 cores @ 3.0 GHz)
    • 128 GB RAM
    • Dual NVIDIA RTX 3090 GPUs (10,496 CUDA cores, 24 GB memory each)
    • 2 TB local storage
  • Three additional workstations:
    • Equipped with engineering software (Matlab, Python, ANSYS, COMSOL, Flow3D, etc.)
    • Configurations:
      • 8-core CPU + NVIDIA RTX 3080 GPU
      • 8-core CPU + NVIDIA RTX 3080 GPU
      • 12-core CPU + NVIDIA RTX 4060 Ti GPU
  • Data storage: Synology NAS with 60 TB total capacity for large simulation datasets and research data.

High-Performance Computing (HPC) Cluster – Binghamton University

We have access to the “Spiedie” HPC cluster hosted at Binghamton University’s Thomas J. Watson College of Engineering & Applied Science:

  • Head node: Dual Intel® Xeon® E5-2640 v4 CPUs, 128 GB RAM, SSD storage
  • Storage: 328 TB NFS with 56/400 Gb/s InfiniBand
  • Compute nodes: 143 heterogeneous nodes, 3,372 cores, including NVIDIA H100 NVL, A40, A5000, and P100 GPUs
  • Networking: InfiniBand (40–400 Gb/s) & 1 Gb Ethernet
  • Job scheduling: SLURM with Bright Cluster Manager
    Additional compute time can be requested from ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) if needed.

These facilities empower our team to conduct end-to-end research — from metal AM fabrication and in-situ diagnostics to high-fidelity simulation and physics-informed AI model development.