Laser Powder Directed Energy Deposition 2026 — PatSnap Eureka
Laser Powder Directed Energy Deposition 2026
LP-DED patent activity has accelerated sharply after 2018, with the most recent 2024–2026 filings concentrated in AI-driven process control, multi-modal melt pool monitoring, and hybrid energy-source deposition heads. Chinese institutions account for approximately 15 of 18 identified patent records in this dataset.
LP-DED: From Process Fundamentals to Autonomous Control
Laser Powder Directed Energy Deposition (LP-DED) uses a focused laser beam to generate a melt pool on a substrate, into which metal powder is injected, enabling near-net-shape fabrication, part repair, and functionally graded material construction. The technology offers large build-volume capability exceeding 1000 mm and material flexibility not available in powder bed fusion systems.
Three interconnected process mechanisms govern LP-DED part properties: laser irradiation and material addition, melt pool generation, and subsequent solidification. Key input parameters—laser power, scan speed, powder feed rate, standoff distance, and carrier gas flow—collectively determine track geometry, microstructure, porosity, and residual stress, as articulated in the 2022 process mechanism review.
Powder catchment efficiency—the fraction of ejected powder that enters the melt pool—has historically ranged from 50–75%. Gas-solid multiphase-flow simulation redesign of nozzle geometry achieved 74.8% powder efficiency compared to 52.6% for a conventional nozzle, demonstrating the engineering headroom available in delivery system optimization.
The publication and filing timeline in this dataset spans 2012 to 2026, with clear acceleration after 2018. In retrieved records, Chinese universities and research institutes account for the substantial majority of active LP-DED patent filings, with South China University of Technology identified as the most active hardware assignee in this dataset, holding patents from 2021 through 2025.
Technology Cluster Distribution and Timeline Acceleration
Retrieved LP-DED records cluster into four primary innovation domains: powder delivery system engineering, composite and multi-beam laser optics, process modeling and simulation, and closed-loop control and in-process monitoring. The most recent 2024–2026 filings are concentrated in control and monitoring, signaling a shift from hardware innovation toward process reliability.
Patent Records by Technology Cluster — LP-DED Dataset
Closed-loop control and monitoring holds the largest share of 2024–2026 filings in this dataset, reflecting a shift toward process reliability as the primary R&D focus.
↗ Click bars to exploreLP-DED Filing Activity by Development Stage — Dataset Timeline
In this dataset, filing and publication activity increased markedly after 2018, with the Emerging/Advanced stage (2023–2026) contributing the largest share of patent-only records.
↗ Click bars to exploreLP-DED Industrial Applications Across Sectors
Across the retrieved dataset, LP-DED is deployed across aerospace structural fabrication, remanufacturing and repair, novel alloy development, and medical device and tooling production. Each domain leverages distinct LP-DED capabilities such as large-build-volume deposition, in-situ alloy synthesis, or near-substrate repair.
Aerospace and Defense Structures
LP-DED is identified as the primary industrial adopter in the 2022 review of current research and industrial application, specifically for large-scale structural components exceeding 1000 mm. Shenyang University of Technology’s December 2024 multi-objective optimization patents explicitly target large key complex structural components in aerospace. Cermet composite gas turbine engine parts have been fabricated via direct laser deposition as demonstrated in a 2018 study on 3D-printed GTE components.
AerospaceRemanufacturing of Worn Components
A 2021 study applied structured light 3D scanning for layer-by-layer morphological monitoring of LP-DED repair operations, framing the process primarily as a remanufacturing tool that reduces material waste by restoring worn components. A 2018 investigation of steel powder deposition over flat surfaces and edges specifically studied edge deposition for repair of worn metal parts. The 2023 grey-box model paper highlights repair of valuable and expensive components as a primary DED-LB motivation.
RemanufacturingFunctionally Graded Material Development
The 2020 review on metallic alloy fabrication from elemental powder blends covers Ti alloys, stainless steels, Ni superalloys, and multi-principal element alloys fabricated via LP-DED from elemental powder blends—a capability not available in pre-alloyed powder bed fusion systems. A 2023 study demonstrated LP-DED of Fe20Cr5.5AlY alumina-forming steel from single tracks to bulk structures for power generation applications requiring complex oxidation resistance. Patent activity on powder blending strategies is relatively sparse in this dataset, suggesting available white space.
Advanced MaterialsMedical Devices and Industrial Tooling
A 2020 study on laser metal deposition of Ti-6Al-4V using a direct diode laser and coaxial material feed explicitly targets aerospace and medical applications, demonstrating LP-DED’s relevance to biomedical implant and device manufacturing. The 2024 deep reinforcement learning process control patent from Shanghai University of Science and Technology lists medical, automotive, and aerospace prototyping as target application domains. LP-DED’s ability to produce near-net-shape Ti components supports both surgical implant and high-performance tooling use cases.
Medical & ToolingKey Patent Assignees in LP-DED — Dataset Snapshot
In this dataset, South China University of Technology holds the highest patent count among named assignees, with 4 filings from 2021 to 2025 covering composite laser optics and hybrid energy-source hardware. The Academy of Military Sciences, National Defense Science and Technology Innovation Research Institute, accounts for 2 active patents in retrieved records, focused on dual annular beam in-beam coaxial powder feed heads.
Top LP-DED Patent Assignees by Filing Count (Dataset Snapshot)
↗ Click bars to exploreSouth China University of Technology
South China University of Technology is the most active hardware assignee in this dataset, with 4 patent filings spanning 2021 to 2025 (CN jurisdiction). The patent family covers composite dual-wavelength laser heads combining infrared spot for powder melting and blue-green spot for melt pool stability and spatter suppression, and extends to a 2025 laser-plasma dual energy source device that uses plasma arc for high-rate bulk infill and laser for precision contour definition. The 2021 and 2024 filings in this family are both listed as active.
China — CNAcademy of Military Sciences
The Academy of Military Sciences, National Defense Science and Technology Innovation Research Institute, holds 2 active patents (filed 2021 and 2023, CN jurisdiction) on dual annular laser beam in-beam coaxial powder feed deposition heads. The dual-ring beam architecture reduces thermal input and residual stress relative to single-spot Gaussian configurations. The presence of this Chinese military research institution as an active LP-DED filer indicates that hardware development in this area carries strategic defense interest beyond commercial manufacturing.
China — CNFive Forward-Looking Directions from 2024–2026 Filings
The most recent patent records in this dataset (2024–2026) signal five distinct forward-looking trajectories, ranging from AI-based autonomous process control to sustainability-driven optimization. These trends reflect both technical maturity and regulatory drivers shaping LP-DED development.
Deep Reinforcement Learning for Autonomous Process Control
Shanghai University of Science and Technology’s 2024 patent uses deep reinforcement learning to autonomously optimize LP-DED process parameters without reliance on fine-grained physical models. Wuhan University of Technology’s 2024 patent combines feedforward and feedback PID-type controllers for real-time melt pool geometry stabilization. Together, these represent a shift from model-driven to data-driven control paradigms in LP-DED process management.
Multi-Modal Sensor Fusion with Sub-50 µm Spatial Accuracy
Shandong University’s 2026 patent addresses simultaneous monitoring of melt pool temperature, morphology, and dynamic characteristics via multi-sensor fusion, claiming sub-50 µm spatial registration accuracy—directly targeting the synchronization challenge in multi-physics DED monitoring. This follows the 2021 structured light system study that applied layer-by-layer morphological scanning in remanufacturing operations. The combination of multi-modal sensing with real-time feedback represents the state-of-the-art monitoring architecture in this dataset.
LP-DED vs. Powder Bed Fusion: Key Differentiators
Click any row to explore further.
| Dimension | LP-DED (Laser Powder DED) | Powder Bed Fusion (PBF) |
|---|---|---|
| Build Volume | Large-scale capability exceeding 1000 mm | Constrained by fixed powder bed chamber size |
| Powder Delivery | In-flight coaxial or side-feed nozzle; catchment efficiency 50–75% | Pre-spread powder layer; no in-flight delivery challenge |
| In-Situ Alloy Synthesis | Possible via elemental powder blend mixing during deposition | Not available; requires pre-alloyed powder feedstock |
| Repair Capability | Primary value proposition; layer-by-layer restoration of worn parts | Limited applicability to repair of existing components |
| Process Control Maturity | Emerging AI/DRL and closed-loop control (2024–2026 filings) | More established parametric control frameworks |
| Laser Architecture | Composite dual-wavelength (IR + blue/green) and hybrid laser-plasma systems active | Single-wavelength laser scanning across powder bed |
| Sustainability Integration | Carbon emissions included as explicit optimization objective in 2024 patents | Not specifically cited in retrieved dataset records |
Frequently Asked Questions: LP-DED Technology and Patents
According to the 2022 process mechanism review in the retrieved dataset, the three interconnected mechanisms are: laser irradiation and material addition, melt pool generation, and subsequent solidification. These mechanisms are mutually dependent and directly govern deposited-part properties including track geometry, microstructure, porosity, and residual stress.
Historically, powder catchment efficiency in LP-DED has ranged from 50–75%. A 2018 study using gas-solid multiphase-flow simulation to redesign nozzle geometry achieved 74.8% powder efficiency compared to 52.6% for a conventional nozzle, demonstrating the headroom available through delivery system engineering.
In this dataset, South China University of Technology is the most active hardware assignee with 4 patent filings from 2021 to 2025 (CN jurisdiction), covering composite dual-wavelength laser heads combining infrared and blue-green spots for melt pool stability, and a 2025 laser-plasma dual energy source device.
Shanghai University of Science and Technology’s 2024 patent applies deep reinforcement learning to autonomously optimize LP-DED process parameters without relying on fine-grained physical models. Wuhan University of Technology’s 2024 patent uses feedforward and feedback PID-type controllers for real-time melt pool geometry stabilization. Both represent a shift from model-driven to data-driven control.
LP-DED enables in-situ alloy synthesis via elemental powder blend mixing during deposition—a capability not available in pre-alloyed powder bed fusion systems. The 2020 review on metallic alloy fabrication covers Ti alloys, stainless steels, Ni superalloys, and multi-principal element alloys fabricated from elemental blends using LP-DED.
Shenyang University of Technology filed two patents in December 2024 that explicitly incorporate carbon emission reduction as an optimization objective alongside deposition efficiency and grain size. This multi-objective formulation is described as being driven by China’s dual-carbon (shuang tan) policy commitments and represents an early signal of ESG-aligned manufacturing metrics entering LP-DED process specifications.
Data and insights on this page are based on a limited patent and literature dataset and are for reference only. Figures may not represent the complete technology landscape.