Robotic Belt Grinding Automation Patents 2026
Robotic Belt Grinding Automation Patents 2026
Industrial robotic belt grinding integrates six-axis manipulators, compliant abrasive belt tooling, and intelligent process control to finish turbine blades, blisks, and weld seams. Patent filings span from 1961 to 2025 across aerospace, energy, and heavy manufacturing sectors.
How Robotic Belt Grinding Automation Works
Robotic belt grinding automation combines a 6-DOF serial arm manipulator with an abrasive belt tool system and a programmable process control layer. The abrasive belt — an endless coated loop driven between a motorized drive pulley and contact wheels — acts as a compliant, conformable cutting medium uniquely suited to complex curved surfaces where rigid grinding wheels cannot maintain uniform contact.
The central technical sub-domains retrieved in this dataset are contact mechanics and force control, path and trajectory planning, belt and tool management, process modeling and monitoring, and dedicated belt grinding center system architectures. Force control remains the most contested technical space, with sliding-mode, IMC-PID, iterative learning, and active compliant control approaches all present without a dominant paradigm.
Foundational filings date to 1961 (Bristol Siddeley Engines, GB) and the early-to-mid 1990s multi-belt machine cluster by UNOVA IP Corp. and Western Atlas. The first clear wave of robotic integration emerged in the early 2000s, anchored by simulation frameworks for robot-controlled belt grinding of sculptured surfaces (2004) and early robotic belt grinding systems for sanitary fittings (2005).
The 2014–2019 cluster is dominated by Chongqing University, which filed EP and US patents for blisk grinding centers, profile precision consistency devices, and associated grinding robots — the densest single-assignee cluster in the dataset. The 2020–2025 frontier is characterized by intelligent process control, AI-based MRR prediction, and automated belt lifecycle management for unmanned operation.
Patent Activity by Period and Technology Cluster
The dataset spans six decades of filings, with clear concentration waves: a 1990s multi-belt machine cluster, a 2008–2012 aerospace belt management phase, a 2014–2019 Chinese academic blisk system peak, and a 2020–2025 intelligent process control frontier.
Patent Filings by Technology Cluster — Robotic Belt Grinding Dataset
Compliant force control and dedicated grinding center hardware represent the two most densely populated technology clusters across retrieved records.
↗ Click bars to exploreRobotic Belt Grinding Patent Filing Activity by Era
The 2014–2019 period represents the peak filing wave, driven by Chongqing University’s blisk grinding center patent cluster across EP and US jurisdictions.
↗ Click bars to exploreKey Application Domains for Robotic Belt Grinding Automation
Retrieved patents and literature cover aerospace turbine finishing, energy sector blade grinding, welded structure seam removal, and heavy industrial component finishing across multiple jurisdictions from 2005 to 2025.
Aerospace Turbine Blades & Blisks
The most heavily represented domain in the dataset, with Chongqing University filing multiple EP and US patents for blisk grinding centers (2018–2019) and Safran Aircraft Engines holding 4 active US patents for robotic belt tooling and belt logistics systems (2008–2011). Pratt & Whitney Canada filed US and EP patents in 2024 for a robotic polishing system with automated belt removal targeting turbine engine blade finishing. A 2022 literature study addressed residual height error compensation trajectory planning for aero-engine titanium alloy blades.
Aerospace ManufacturingWind & Hydropower Energy Sector
Jost GmbH holds a 2012 US patent for a grinding device that integrates an industrial robot with a belt grinding unit and a cleaning device specifically for machine-based grinding of wind energy rotor blades. Research literature references robotic grinding wheel profiling for hydropower turbine repair fillet welds (2015). These filings address the large-scale, low-curvature blade surfaces typical of wind turbines, which require a different compliance strategy than aerospace components.
Energy SectorWelded Structures & Pipeline
A 2020 literature publication proposed an automatic seam bead grinding robot manipulator integrating machining and measurement for welded pipe ends. A 2021 paper described a dedicated end-effector for spiral welded pipe simultaneous inner and outer surface grinding with a 6-DOF robot. Friction stir weld seam grinding monitoring via PSO-SVM was also reported in 2020, covering process monitoring requirements specific to weld surface finishing.
Welded StructuresHeavy Industry & Rail Infrastructure
Wang Jiacheng’s 2025 WO patent explicitly targets train frames and crankshaft mechanisms as workpieces for robot-aided belt grinding where 3- or 5-axis CNC machines lack reach. Beijing Jiaotong University filed a 2024 US patent for a road-rail dual-purpose quick-assembly rail grinding maintenance robot capable of operating on both road and rail surfaces. The Industrial Technology Research Institute (TW) holds a 2020 US patent for polishing and grinding control targeting vehicle parts and construction hardware industries.
Heavy IndustryLeading Patent Holders in Robotic Belt Grinding Automation
Filing concentration in this dataset is split between Chinese academic institutions — led by Chongqing University — and Western aerospace OEMs and abrasive suppliers including Safran Aircraft Engines, 3M Innovative Properties, and Pratt & Whitney Canada, with active patents spanning EP, US, WO, CN, and TW jurisdictions.
Top Assignees by Filing Count — Robotic Belt Grinding Dataset
↗ Click bars to exploreChongqing University
Chongqing University is the most prolific single assignee in this dataset, with at least 7 active patent records across EP and US jurisdictions filed in the 2018–2019 period. The portfolio covers blisk abrasive belt grinding centers combining a grinding robot, numerical control index plate, and Y-axis/X-axis servo drives for full-profile blisk finishing, as well as companion abrasive belt grinding devices for profile precision consistency on small-diameter contact wheel applications. Multiple EP and US patent families are active, creating freedom-to-operate considerations for manufacturers of competing blisk or impeller belt grinding architectures.
ChinaSafran Aircraft Engines
Safran Aircraft Engines holds 4 active US patents filed between 2008 and 2011, representing the most coherent industrial-scale aerospace deployment strategy in this dataset. The portfolio includes a multi-platform cage-based device for storing and dispensing endless machining belts for robotic installations (2008, 2011 US) and a robotic machining tool employing an endless machining belt with twin flanking wheels for precise geometry-controlled machining distance (2009, 2011 US). These patents directly address rapid belt changeover on robot arms without operator intervention in high-volume aerospace production environments.
FranceFour Accelerating Frontiers in Robotic Belt Grinding (2022–2025)
The most recent filings and publications in this dataset (2022–2025) signal convergence toward fully unmanned belt lifecycle management, data-driven MRR prediction, feed-rate-based material removal regulation, and expansion into heavy-component and infrastructure grinding.
Automated Belt Lifecycle Management for Unmanned Operation
Pratt & Whitney Canada’s 2024 robotic polishing system includes a belt removal assembly and controller specifically designed to eliminate operator intervention in belt changeover. Nitto Kohki’s 2025 TW patent uses a plunger switch mechanism to detect tension-rod displacement from belt fracture, triggering automatic stop for unmanned operation. Safran’s earlier 2008–2011 US belt dispensing patents established the foundational cage-based multi-platform architecture that these newer filings build upon.
Data-Driven and AI-Based MRR Prediction
A 2022 literature study applied the CatBoost algorithm to classify four abrasive belt wear modes from belt images — fracture, adhesion, rubbing wear, and fall-off — and predict material removal rate for Inconel 718 grinding using color, texture, and grain area features. A 2023 paper used ANFIS modeling with Taguchi design and ANOVA to predict material removal depth for complex blade profiles. 3M Innovative Properties’ 2022 WO and 2023 US patents retrieve real-time rotational speed and end-effector load to dynamically predict and adjust MRR in robotic repair systems.
Compliant Force Control Architectures: Sliding-Mode vs. IMC-PID
Click any row to explore further.
| Dimension | Adaptive Sliding-Mode Iterative Control | PID-IMC Force Regulation |
|---|---|---|
| Published | 2019 | 2021 |
| Sensor Configuration | 1D force sensor on 6-DOF robot belt grinding platform | Robot dynamics model with IMC-optimized PID parameters |
| Control Method | Adaptive iterative learning combined with sliding mode control | Internal Model Control principle for constant-force grinding |
| Force Modeling Basis | Deformation-based dynamic model mapping normal-to-tangential force relationships | Derived robot dynamics model with IMC parameter optimization |
| Demonstrated Material | Titanium alloy workpieces | Not specified in retrieved records |
| Primary Goal | Uniform material removal via constant normal grinding force | Constant-force grinding via optimized controller gains |
| Architecture Type | Hybrid iterative learning and sliding mode | Model-based PID tuned by internal model principles |
| Source Type | Literature (PatSnap Eureka) | Literature (PatSnap Eureka) |
Frequently Asked Questions: Robotic Belt Grinding Automation Patents
Chongqing University (China) is the most prolific single assignee in this dataset, with at least 7 active patent records across EP and US jurisdictions covering blisk abrasive belt grinding centers and profile precision consistency grinding devices, all filed in the 2018–2019 period.
The earliest filing retrieved is a 1961 GB patent by Bristol Siddeley Engines Limited titled ‘Improvements in or relating to belt grinding machines.’ Foundational multi-belt machine patents by UNOVA IP Corp. and Western Atlas followed in the 1994–1999 period.
Safran Aircraft Engines holds 4 active US patents (2008–2011) focused on belt storage and dispensing devices and robotic machining tools using endless belts — targeting aerospace production logistics. Chongqing University’s portfolio (2018–2019, EP and US) focuses on integrated blisk grinding center hardware and profile precision consistency devices. Safran’s approach addresses belt lifecycle in production; Chongqing University’s addresses the machine system architecture.
Retrieved records include: CatBoost algorithm for belt wear mode classification and MRR prediction for Inconel 718 grinding using belt images (2022); ANFIS modeling combined with Taguchi design and ANOVA for material removal depth prediction for complex blade profiles (2023); and 3M Innovative Properties’ real-time rotational speed and end-effector load-based MRR predictor used in robotic repair control systems (2022 WO, 2023 US).
Beyond aerospace, the dataset covers: wind turbine rotor blade grinding (Jost GmbH, 2012 US); welded structure and pipeline seam bead grinding (literature, 2020–2021); large-part finishing of train frames and crankshaft mechanisms (Wang Jiacheng, 2025 WO); rail surface maintenance via a road-rail dual-purpose grinding robot (Beijing Jiaotong University, 2024 US); automotive and sanitary fittings polishing (Industrial Technology Research Institute, 2020 US; literature, 2005); and surgical instrument cutting edge forming (Allegiance Corporation, 1996 US).
Pratt & Whitney Canada filed US and EP patents in 2024 for a robotic polishing system with automated belt removal. This signals that engine OEMs are internalizing automation IP rather than relying solely on machine suppliers. Combined with Nitto Kohki’s 2025 automatic belt-break detection tool and Safran’s earlier belt dispensing patents, these filings represent convergence toward fully unmanned belt changeover in production blade finishing cells.
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.