SLS Process Automation Patents: Leaders, Trends & White Space 2026
- A small, tightly-scoped corpus. Only 11 published families match automated depowdering, build handling and process control claims within SLS — this is a narrow filing niche, not a crowded field.
- Filing peaked in 2018 and has not recovered. Five families published that year against a flat-to-declining trend through the dataset's midpoint, suggesting the initial wave of automation claims has already been staked out.
- Powder metallurgy overlaps plastics shaping. Five of eleven records also sit in B22F (powder metallurgy), showing that depowdering and process-control claims are being filed across both polymer and metal SLS routes.
What this patent set covers
This landscape isolates patents at the intersection of selective laser sintering and the automation layer around it: automated depowdering, build handling automation, powder management automation and process control. It excludes general SLS machine patents that make no automation claim, and excludes automation patents that are not tied to a laser sintering or powder-bed process step.
The corpus is small — 11 published families — which means individual filings carry disproportionate weight in any ranking. Read the assignee and citation tables as indicators of who staked early claims, not as a measure of a large competitive field.
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
Filing trend and technology composition
Publication counts and IPC composition for the 11 families matching automated depowdering, build handling and process control claims in selective laser sintering.
Filing trend, 2017-2026
Filings rose to a peak of 5 in 2018, then flattened; the 2022 midpoint sits at 5 as well, and the curve does not show renewed growth toward the end of the window. As always, the most recent year or two is understated because publication lags filing by roughly 18 months.
IPC subclass distribution
Every record sits in B29C (shaping of plastics), and most also carry a B33Y additive-manufacturing tag; five records cross into B22F powder metallurgy, showing the automation claims are not confined to one material route. Smaller counts in B01F, B23K, B29K, B01J and C12N mark occasional overlap with mixing, joining and materials-index classifications rather than a distinct sub-field.
Shares are the percentage of the 11 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Selective Laser Sintering Process Automation with Eureka
This page is one run against one query. Ask Eureka your own question about selective laser sintering process automation and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this set
System For Selective Laser Sintering (US20200376750A1)
A system for producing an object from a powder by selective laser sintering. The system includes a chamber and a support platform in the chamber. A spreader applies a layer of powder to a bed surface. An irradiation source irradiates select points in the powdered layer prepared on the support platform. A radiant heater heats at least a portion of the bed surface. A temperature sensor monitors the temperature of select points on the bed surface. A controller adjusts the radiant heater in response to temperature data provided by the temperature sensor.Filed by Hexcel Corporation; published 2020-12-03.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2018200628A1 | System for selective laser sintering | 9 |
| 2 | US20200376750A1 | System For Selective Laser Sintering | 1 |
| 3 | US11312069B2 | System for selective laser sintering | 1 |
Citation counts reflect influence within this searched corpus and favour older filings; a low count on a recent family does not mean it is weak.
Publication numbers are shown where the record carries one (3 of 3 rows); clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
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 →MCP server & REST API
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 →What the numbers say
Three readings of the dataset that matter for anyone deciding whether to file, license or design around work in this space.
The wave has crested
Filings peaked at 5 in 2018 and the trend is flat to declining through the 2022 midpoint. A niche this size with a single peak year suggests the core automation concepts — depowdering, bed heating control, powder recycling loops — were claimed early rather than being an active filing race today.
One family anchors the citation graph
WO2018200628A1 draws 9 citations against 1 apiece for the next-ranked records. That gap means later filers are largely building on or around one early system claim rather than citing a broad base of prior art.
Automation claims span polymer and metal SLS
Nearly half the set also classifies under powder metallurgy, meaning the automated depowdering and process-control claims are not written narrowly for plastics — the same mechanical and control concepts are being asserted across metal powder-bed processes too.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to selective laser sintering process automation, with the prior art for and against each one.
Who holds claims here
With only 11 families in the set, the assignee table is short and each entrant holds a small number of filings. None of the tracked assignees show filing activity in the latest year, consistent with the flat post-2018 trend.
Hexcel Corporation
Hexcel's system claims — chamber, spreader, radiant heater and temperature-sensor feedback loop — anchor the most-cited family in this set and describe a closed-loop bed-temperature control approach to SLS.
RWTH Aachen University
Academic filings from Aachen sit in the same IPC space, reflecting research-stage process-control work rather than a commercial product line.
Morphica Srl and individual filers
Smaller entrants such as Morphica Srl and individually named inventors round out the tail. Each holds a narrow slice of claim space rather than a defensible portfolio position.
| Assignee | Recent year | YoY |
|---|---|---|
| Hexcel Corporation | 0 | — |
| RWTH Aachen University | 0 | — |
| MORPHICA SRL | 0 | — |
| Zimtronics Catalytic Systems Inc. | 0 | — |
| W MARK BIELAWSKI | 0 | — |
Where to take this
The dataset points to a narrow, early-staked field rather than an active filing race. Two directions follow from that.
Run a freedom-to-operate check before filing
Because citation weight concentrates on one early Hexcel family, any new depowdering or bed-control claim should be checked against that system claim specifically, not just against the broader SLS art.
Check claim overlap in EurekaWatch for a second filing wave
A flat trend since 2018 does not rule out renewed activity; the most recent one to two years are understated by publication lag, so re-run this search in six months to see if filings pick up.
Track this landscape in EurekaCommon questions on SLS process automation patents
This dataset identifies 11 published patent families matching automated depowdering, build handling automation, powder management automation or process control claims within selective laser sintering, covering 2015 through mid-2026. That is a small, tightly-scoped niche rather than a broad field, so any single filing or citation count carries more weight than it would in a larger technology area. Coverage may understate the most recent one to two years because publication typically lags filing by about 18 months.
Hexcel Corporation holds the most-cited family in this set, built around a closed-loop chamber, spreader and radiant-heater system with temperature-sensor feedback. Beyond Hexcel, filers include RWTH Aachen University, Morphica Srl and several individually named inventors, each holding a small number of families. With only 11 families total, no single assignee controls a large portfolio here.
Filing activity peaked at 5 families in 2018 and has been flat to declining since, based on the midpoint reading in 2022. None of the tracked assignees show filings in the most recent tracked year. That pattern suggests the core automation concepts were claimed early, though the most recent year or two in any dataset is always undercounted due to publication lag.
US20200376750A1, assigned to Hexcel Corporation, claims a selective laser sintering system with a chamber, a support platform, a spreader for applying powder layers, an irradiation source, a radiant heater, a temperature sensor on the bed surface, and a controller that adjusts the heater based on sensed temperature data. It is a closed-loop bed-temperature control system, not a claim on depowdering or post-build handling. Anyone building temperature-feedback control into an SLS build chamber should review this family and its parent WO2018200628A1 specifically, since that earlier filing carries the highest citation count in the set.
Based on the IPC composition and assignee coverage in this 11-family set, direct claims on automated build-plate unloading, in-situ powder degradation sensing, multi-material powder-bed sequencing, and cross-batch powder traceability appear thin. That does not confirm the space is legally open — it means a proper freedom-to-operate search is warranted before filing or building in those areas, since a narrow dataset can miss adjacent filings classified outside the search string used here.
Research Selective Laser Sintering Process Automation in depth with Eureka
Go past this page: query the whole selective laser sintering process automation corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.