Theta Technologies provides a patented nonlinear resonance non‑destructive testing (NDT) system called RD1‑TT, specifically engineered for additive manufacturing metal parts. 0 workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers of metal additive‑manufactured components often lack a non‑destructive testing method that can quickly and accurately detect flaws in complex geometries, leading to prolonged inspection cycles, material waste, and difficulty meeting stringent quality standards.
Solution
Theta Technologies offers the RD1‑TT system, a patented nonlinear resonance NDT solution engineered specifically for additive manufacturing metal parts. By exploiting nonlinear resonance phenomena, the system delivers rapid, high‑sensitivity detection of defects such as cracks, porosity, and inclusions without requiring contact or extensive setup. The technology operates at production scale, enabling manufacturers to integrate inspection directly into Industry 4.0 workflows and reduce both inspection time and scrap rates. Quantitative defect data are generated in real time, supporting reliable quality assurance and facilitating faster design iteration for critical applications.
Target Audience
Primary customers are manufacturers and service bureaus that produce metal additive‑manufactured parts for aerospace, automotive, medical, and other high‑performance sectors, as well as quality‑assurance laboratories supporting these industries.
Features
- Patented nonlinear resonance technique that provides superior sensitivity to micro‑defects in complex 3D‑printed metal parts
- Fast, non‑contact scan cycles that minimize downtime and enable high‑throughput inspection
- Capability to assess intricate geometries and internal features inaccessible to conventional NDT methods
- Scalable operation suitable for large‑volume additive manufacturing production lines
- Direct integration with digital manufacturing data streams for Industry 4.0 compatibility
- Quantitative defect metrics and reporting to support automated quality‑control decisions
- Cost‑effective alternative to traditional ultrasonic or radiographic testing for AM components