Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras
Method and Hybrid Beam Combining System to Obtain High Power Laser Beam
Categories for this Invention
Category – High-Power Laser Systems
Applications – Industrial Manufacturing, Laser Surgery and Treatments, Non-Invasive Diagnostics
Industry- Precision Cutting and Welding, Advanced Photonic Components
Market – Global High Power Laser Systems Market is expected to register a CAGR of 7.1% during the forecast period (2022-2027).
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Problem Statement
- Individual laser emitters and single-mode fiber lasers face power limitations due to thermal and nonlinear effects, restricting their effectiveness for Directed Energy (DE) applications.
- Coherent beam combining (CBC) of multiple laser modules is needed to achieve high power levels, but it faces issues like stringent requirements on laser parameters, nonlinear optical effects, and practical difficulties in phase noise compensation and beam quality.
- Phase synchronization time and the number of iterations required increase with more elements, complicating the system’s scalability and affecting the overall beam quality and efficiency.
Technology
- The system utilizes multiple master oscillators to split each laser beam into two beams, amplifying them separately and coherently combining them through multiple stages to achieve high-power output.
- It employs feedback controllers and beam quality monitors for phase synchronization and quality maintenance, utilizing machine learning techniques like Recurrent Neural Networks (RNNs) to optimize performance.
- The system can produce a high power composite laser beam, ranging from 10 Watts to several MegaWatts, by polarization multiplexing and spectrally combining the coherently combined beams from each laser.
Key Features / Value Proposition
1. Enhanced Power Output:
- Achieves high-power laser beams suitable for demanding applications, ranging from 10 Watts to several MegaWatts.
2. Superior Beam Quality:
- Utilizes advanced phase synchronization and feedback control systems to maintain optimal beam quality and minimize power losses.
3. Scalability and Flexibility:
- Scalable architecture allows for easy integration and adaptation to various industrial, defense, and research applications.
4. Advanced Control with AI:
- Incorporates machine learning techniques, such as Recurrent Neural Networks (RNNs), for improved phase synchronization and system optimization.
Questions about this Technology?
Contact For Licensing
sm-marketing@imail.iitm.ac.in
ipoffice2@iitm.ac.in
Research Lab
Prof. Balaji Srinivasan
Department of Electrical Engineering
Intellectual Property
- IITM IDF Ref. 2058
- IN 507846 – Patent Granted
Technology Readiness Level
TRL – 5
Technology validated in relevant environment.