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Run your analysis now →Filing growth compares 2021 (6 records) with 2024 (3) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field.
Nickel superalloy design optimization patents concentrate overwhelmingly on alloy composition claims: 97 of 100 families in this dataset sit in the C22C alloys subclass, and two-thirds of those also claim a turbine or non-positive-engine component under F01D. That pairing — a defined weight-percent recipe tied to a named part, usually a single-crystal blade — is the field's dominant claim shape, and it is the shape the most recent representative filing follows exactly. Crystal growth, heat treatment and coating subclasses hold smaller, steadier shares, while additive manufacturing and powder metallurgy remain in single digits despite a 100-family base.
Filing activity rose to a peak of 27 records in 2020 and has since flattened, sitting at 22 by the 2022 midpoint. Because publication typically lags filing by around 18 months, the most recent year in any such trend understates real filing activity — but the multi-year plateau itself, not just the last data point, is the signal that the core composition space is filling in.
Publication counts by year and by IPC subclass show where nickel superalloy design activity has concentrated and where it has stayed thin.
Filings rose from zero in 2017 to a peak of 27 in 2020, held near that level through the 2022 midpoint of 22, and the most recent year is still partial under the usual 18-month publication lag — so the apparent flattening understates whatever filed in the last reporting window.
C22C (alloys) covers 97 of 100 records and F01D (turbines) covers 66, confirming that most claims pair an alloy recipe with a turbine component. Crystal growth, heat treatment and coating subclasses each hold a modest slice, while powder metallurgy and additive manufacturing remain single-digit — occupied claim space at the composition level, largely open at the process level.
Shares are the percentage of the 100 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about nickel superalloy design optimization and every answer comes back with the patent numbers behind it.
Try EurekaA nickel-based superalloy comprises in weight percentages: 5.4 to 6.0% of aluminium, 7.5 to 9.0% of tantalum, 0.10 to 0.25% of titanium, 5.5 to 7.5% of cobalt, 4.0 to 5.5% of chromium, 0.10 to 0.70% of molybdenum, 4.0 to 5.0% of tungsten, 4.8 to 6.2% of rhenium, 0.04 to 0.15% of hafnium, 0 to 0.15% of silicon, the remainder consisting of nickel and unavoidable impurities. The invention also relates to a single-crystal blade comprising such an alloy and to a turbomachine comprising such a blade.Filed by SAFRAN, published 2024-10-17. Illustrates the field's typical claim structure: a tightly bounded weight-percent recipe tied to a specific single-crystal blade and turbomachine use.

| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | JP2014070230A | METHOD FOR PRODUCING Ni-BASED SUPERALLOY | 22 |
| 2 | EP3109331A1 | High-temperature nickel-based alloy for 700°c grade ultra-supercritical coal-fired power station and preparat… | 14 |
| 3 | CN112289390A | 基于数据驱动多组元高温合金持久蠕变性能的评估方法 | 8 |
| 4 | CN112185488A | 基于数据驱动多组元镍基高温合金γ`相演化的预测方法 | 7 |
| 5 | GB2579580A | A nickel-based alloy | 6 |
| 6 | IN202017020003A | Nickel-based superalloy, single-crystal blade and turbomachine | 3 |
| 7 | CN112262221A | 镍基超合金、单晶叶片和涡轮发动机 | 3 |
| 8 | WO2019097163A1 | Nickel-based superalloy, single-crystal blade and turbomachine | 3 |
| 9 | US11396685B2 | Nickel-based superalloy, single-crystal blade and turbomachine | 3 |
| 10 | WO2019097162A1 | Nickel-based superalloy, single-crystal blade and turbomachine | 3 |
Citation counts favour older records simply because they have had more time to be cited; treat this as a signal of past influence, not current filing priority.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →The numbers point to a field where the composition space is well-mapped and the process space is not — a distinction that matters for where new claims can still land.
Almost every family in this dataset touches alloy composition claims. New entrants need a genuinely narrow compositional window, a novel element combination, or a tie to an under-claimed process step to clear the existing art.
The filing trend rose to a 2020 peak and has since held roughly steady rather than climbed, consistent with a maturing composition-design field where remaining moves are incremental. The most recent year is still partial under normal publication lag.
Against a 97-record composition base, additive manufacturing and powder metallurgy claims are a rounding error. That gap is where combination claims — composition plus process — have the most room to be both novel and defensible.
The strongest co-assignee link ties an aerospace group to a national research centre across 34 shared families, and two more pairs each reach 19 — a small number of tightly integrated research clusters, not a broad competitive field.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to nickel superalloy design optimization, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Safran | French National Centre for Scientific Research (CNRS) | 34 |
| Safran | French National Aerospace Research Centre (ONERA) | 19 |
| Safran | University of Nantes | 19 |
| French National Centre for Scientific Research (CNRS) | University of Nantes | 19 |
| Safran | University of Poitiers | 15 |
| French National Centre for Scientific Research (CNRS) | University of Poitiers | 15 |
| Safran | Safran Aircraft Engines | 12 |
| Safran | ECOLE NAT SUPERIEURE DE MECANIQUE AEROTECHN | 8 |
Co-assignee activity concentrates around one aerospace group and its recurring academic and national-lab partners, rather than spreading across many independent pairs.
A small cluster of aerospace and research assignees anchors the top of this field, filing jointly rather than competing head-on, while several process-side branches remain thin enough for new entrants to stake a claim.
The strongest collaboration links a major aerospace group with a national research centre across 34 shared families, with two further pairs each reaching 19 — the top of this field is a small, tightly connected cluster rather than a wide competitive set.
Europe (EPO) receives the largest share of filings, ahead of the United States, China, WIPO/PCT, India and Austria, indicating that key applicants are pursuing broad regional coverage alongside national filings.
Every leading assignee in this dataset shows zero filings in the most recent year, consistent with the overall trend flattening and with normal publication lag rather than a sign these groups have exited the field.
The most-cited record in this dataset dates from 2014, a reminder that citation counts favour records that have had more years to accumulate citations rather than records that are currently shaping filing strategy.
| Assignee | Recent year | YoY |
|---|---|---|
| Safran | 0 | — |
| French National Centre for Scientific Research (CNRS) | 0 | — |
| French National Aerospace Research Centre (ONERA) | 0 | — |
| University of Nantes | 0 | — |
| University of Poitiers | 0 | — |
| Safran Aircraft Engines | 0 | — |
| ECOLE NAT SUPERIEURE DE MECANIQUE AEROTECHN | 0 | — |
| ECOLE NAT SUPERIEURE DARTS & METIERS (ENSAM) | 0 | — |
The filing pattern points to specific next checks before committing R&D or filing budget to a given branch.
Before drafting a new composition claim, run the target weight-percent ranges against the most-cited records to see how much room actually remains inside the C22C claim space.
Run a prior-art check in EurekaAdditive manufacturing and powder metallurgy claims are thin relative to the composition base — test whether a process-plus-composition combination clears freedom-to-operate before scaling a build.
Explore white space in EurekaCALPHAD (Calculation of Phase Diagrams) is a computational method for predicting phase stability and microstructure in multi-component alloys before physical testing. It appears in nickel superalloy patents because composition design claims increasingly cite computational screening to justify why a particular weight-percent window was chosen. In this dataset, filings referencing CALPHAD-style or data-driven prediction methods sit alongside traditional trial-and-error composition claims, and several of the most-cited records specifically cover data-driven models for predicting creep-rupture life or γ' phase evolution rather than the alloy itself.
Because 66 of the 100 families in this dataset combine a C22C alloy-composition claim with an F01D turbine or non-positive-engine claim, reflecting how the industry actually uses these alloys — almost exclusively in turbine blades, vanes and discs for aerospace and power generation. A composition claim alone is often too broad to survive prosecution against dense prior art, so applicants narrow it by tying the alloy to a specific part, like a single-crystal blade. This means searching C22C alone will miss a large share of the relevant art; F01D needs to be checked in parallel.
It is narrowing but not closed. The filing trend peaked in 2020 and has flattened since, and 97 of 100 records already sit in the core alloy-composition subclass, meaning most obvious weight-percent windows for common element combinations (aluminium, tantalum, rhenium, cobalt) are already claimed by someone. New filings tend to succeed by combining a narrow compositional tweak with a specific manufacturing step or product form rather than by claiming a wholly new base chemistry.
In this dataset, the European Patent Office leads with 24 records, followed by the United States (17), China (15), the WIPO PCT route (13), India (11) and Austria (8). The concentration at EPO and the presence of a large PCT share suggests applicants — largely aerospace and materials research groups — are seeking broad multi-jurisdiction coverage rather than filing nationally first, which is typical for high-value turbine alloy IP.
Based on the IPC breakdown, additive manufacturing (B33Y) accounts for only 3 of 100 records and powder metallurgy (B22F) for 5, against a base of 97 composition records. That gap does not mean additive routes are legally clear; it means the process-side claims are underdeveloped relative to the composition art they would need to combine with. Anyone building an AM process around an existing patented composition should still check the underlying C22C claim before assuming the additive step alone clears freedom-to-operate.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.