MODT applies machine learning algorithms to evaluate AM printability from mechanical design files. Its analysis modules cover dimensions, geometry, resources, and fabrication criteria, supporting both modern design formats (e.g., STL files) and legacy formats (e.g., 2D blue print, PDFs). MODT optimization is built on the Method of Moving Asymptotes (MMA) with a thermal-structural multi-objective function, enabling users to balance structural and thermal priorities.

Utilizing specially designed ultrasonic transducers (pending patent) to excite and detect acoustic waves to interrogate sample materials, along with advanced signal/image processing and data analysis algorithms (US Patent 12,146,953), X-QAM provides the first-its-kind NDE tool to image both the surface and internal microstructures and estimate the grain size and distribution of metallic components. One potential application of the X-QAM is for rapid qualification and certification of additive manufacturing parts due to its attributes such as cost effective and easy operation in a manufacturing environment.

NCISN system is new acoustic emission (AE) technology, which incorporates the non-contact electromagnetic acoustic transducer (EMAT), multi-channel data acquisition device (Xplore-R8), application software (XpertAE) with advanced signal processing algorithms, along with an artificial intelligence or machine learning (AI/ML) tool box developed by X-Wave for structural health monitoring (SHM) with improved accuracy in defect localization and classification. One particular application of NCISN is for continuously monitoring the stress corrosion cracking (SCC) in spent nuclear fuel dry-storage canisters in service.

SoniX-IR is a new Nondestructive Testing and Evaluation (NDT&E) tool for full-field, rapid inspection of components or structures made of different shapes, sizes and materials (metallic and composites). SoniX-IR utilizes a specially designed portable ultrasonic excitation source and a compact infrared imaging device, along with advanced signal/image processing algorithms to achieve rapid, intelligent, full-field NDT&E of micro-fractures and damages such as cracks, delaminations, disbonds, and heat damage in a variety of materials and structures.

Our competency comes from our talented technical staff who have a deep understanding of the complexity of real application environments and the underlying scientific principles in our solutions. Our core technologies include:

• Sensor/Sensing Technologies
• Non-Destructive Testing and Structural Health Monitoring
• Machine Learning, Signal/Image Processing, and Data Analysis
• Electronic Systems and Control
• Additive Manufacturing Processing

The X-i2BPM is a truly universal battery power module that operates as a battery, as a DC power source or as an AC power source in a light and compact package. Customers can interconnect multiple X-i2BPMs to create larger battery-based power systems to provide higher capacity and/or higher power and voltage, whether it is DC or single-phase and/or three-phase AC systems. The modular and portable modules are ideal for powering loads in disaster-relief scenarios, military field operations, such as hybridization of fuel generators, or as standalone units; they are also ideal for renewable and electric propulsion applications, such as for electric vehicles, aerospace critical applications, and future hybrid and all-electric aircraft applications. The X-i2BPM represents the next level in reliability, fault-tolerance, efficiency, and portability for flexible and versatile power and energy storage solutions. The X-i2BPM design is based on a hardware and algorithmic distributed approach that reaches better space utilization and takes efficiency to higher levels of 98% and higher. The X-i2BPM approach minimizes thermal requirements and weight per power delivery capability, which makes it ideal for mobile and portable applications.