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CAM 5-Axis-CAD/CAM-Software for Turbine Blade, Blisk/IBR and Bling
No full textParametric CAD/CAM software for turbomachinery components
Documentation version: 5.12
Subject matter and technical features
This document describes graphics-oriented, parameterized CAD/CAM software for modeling and efficient machining of turbine blades, blisks/IBRs, and blings using 5-axis machining. The software offers the following technical functions:
- Interactive user interface with parametric definition of machining operations on free-form surfaces.
- Modeling of air blades, blisks, and blings, including special function modules for spline fitting, segmentation, edge fitting, and integration of IGES and Parasolid data.
- Strategy modules for various machining scenarios: adaptive measuring programs for surfaces, basic and advanced machining strategies (roughing, surface machining, pocket milling), special strategies for blades, blisks, and blings, kinematic analyses, and process automation.
- Automated post-processing and collision control, especially for complex geometries in turbomachinery manufacturing.
- Use of specialized tools (ball/barrel cutters, toroidal tools) and simulations of tool paths for various machine post-processors.
Functionality and modules:
- Complete management of tools, machines, post-processors, and machining operations, including approach/departure movements and motion-optimized toolpath generation.
- Import and processing of CAD geometries (IGES, Parasolid), generation and optimization of airfoil geometries through curve and surface operations.
- Special modules for cutting force control, dynamic stability analysis, and automated communication with CNC controls to enable adaptive geometry corrections and air blade-based manufacturing.
- Additional strategy packages (Adaptive, Blade Finishing, Slot, Edge Breaking, Solid Roughing, etc.) allow for customer-specific extensions and deep process optimization.
Application variants and configuration options:
- Licensed modularization for basic functions, strategy modules, and optional extensions (postprocessors, reporting, cutting force analysis, Vericut model, automation, etc.).
- Application on Windows PCs with special hardware (recommended NVIDIA graphics, ≥8GB RAM, 4+ processor cores) and variable, machine-related license structure.
- Flexible training and support, including maintenance options, updates, and specific training measures for customers.
Illustrations and technical drawings
The attached document contains schematic representations of the module structure, an overview of strategy and option packages, as well as system requirements and flowcharts for the machining processes. These are an integral part of this publication
System and Method for Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery and Innovation
No full textThe presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems by enabling genuine intellectual collaboration, scalable integration of new domains, and autonomous discovery applicable to scientific research, engineering, healthcare, and other high-complexity use cases
Centralized QR Trust Repository (CQTR) with Merchant Name Uniqueness for Fraud Prevention in QR Code Payments
No full textThe disclosed systems and methods use a Centralized QR Trust Repository (CQTR) for securing and streamlining merchant onboarding and transaction validation, and to address critical challenges in QR-based payments such as cross-acquirer fraud and counterfeit QR codes system performs transaction validation. At the time of onboarding, merchant details such as merchant or business name, account information, and KYC are collected by client servers and CQTR conducts uniqueness validation to ensure name uniqueness across all acquirers. CQTR performs similarity checks, including fuzzy matching and phonetic analysis and prevents duplicate registrations. After successful validation, CQTR generates and registers unique QR codes static or dynamic linked to the merchant’s identity. For transaction processing, the system verifies QR authenticity by matching QR hashes or templates against CQTR’s secure database before payment authorization. Merchant identity is confirmed to the customers in real-time thus the risks of fraudulent or counterfeit QR codes are mitigated
Glossary-Augmented Generative AI for Enterprise Translation
No full textGlobal enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization\u27s specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically consistent, which may help to create more unified service models and reduce reliance on language-specific support agents
DELTA-DRIVEN DATA REBUILDING SYSTEM WITH INTEGRITY VERIFICATION VIA LAYERED CHECKSUM
No full textA system and method for reconstructing and validating versions of a data record. The system continuously monitors and stores data records, data changes and checksums of a plurality of versions of each data record after every operation. Upon receiving a request from a user device to roll back to a target version of the data record the system determines proximity of the target version to first and last versions of the data record and determines traversal direction based on the proximity of the target version. The system generates target version of the data record by traversing through data changes in the determined traversal direction. Further the system computes a checksum of the rebuilt target version of the data record and validates the integrity of the rebuilt target version of the data record based on checksum
Report on the market deployment of endohedral fullerenes Ag@C60
No full textThis document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It defensively discloses enabling invention candidates (processes, systems, compositions, methods, software) spanning Ag@C60 synthesis/purification, industrial QA/qualification, diagnostics, imaging, aerospace structural health monitoring, digital twins, federated learning, logistics, interoperability, and life-cycle mitigation.Original Zenodo Url: https://zenodo.org/records/1811568
DeepBlue Protocol: A Decentralized Peer-to-Peer (P2P) Ad-hoc Mesh for Global AIS persistence
No full textThe DeepBlue Protocol specifies a decentralized, Peer-to-Peer (P2P) maritime data relay architecture designed to bridge the visibility gap between high-seas regions and terrestrial monitoring stations. The system transforms a federated fleet of vessels into an opportunistic Store-Carry-Forward (SCF) substrate. Data persistence is achieved through a stateless G-TDMA scheduling algorithm and a probabilistic Bloom Filter synchronization handshake, which together ensure that data collected in remote waters is autonomously propagated through the mesh until it can be successfully offloaded to a Coastal Gateway (Sink Node)
Uplink Latency Reduction in Non-Terrestrial Networks via Predictive Scheduling Request
No full textStandard reactive scheduling request (SR) procedures in high-latency Non-Terrestrial Networks (NTNs) cause uplink delays, as a user equipment (UE) must wait a full round-trip time (RTT) for an uplink grant after data becomes available. This is compounded for large data transfers, which may require two RTTs for SR and Buffer Status Report (BSR) cycles. This disclosure describes a proactive scheduling mechanism where the UE sends an SR in advance of data arriving in its buffer. Based on predicted traffic, informed by application-layer signaling or an on-device machine learning model, the SR is timed to ensure the uplink grant arrives just-in-time as the data becomes ready. This approach effectively hides the scheduling latency inherent in the NTN RTT, minimizing UE wait times, reducing data transfer startup delays, and improving overall uplink efficiency
A Method for Dynamic Web Image Modification via User-Specified Heuristics and Generative Models
No full textWeb content is often not tailored to individual user needs, such as accessibility requirements or content preferences. A method is disclosed for automatically modifying web images based on user-defined heuristics. Within a browser setting, a user can specify rules in natural language for how certain image content should be altered. When a web page is rendered, images are analyzed to determine if they match any user-specified rule. If a match is identified, a generative model is used to modify the image according to the corresponding rule. The modified image is then displayed in place of the original. This allows for a customized browsing experience, enabling automatic image adjustments for accessibility, content filtering, and localization
SYSTEM AND METHOD FOR DYNAMIC GROUPING AND RESOLUTION OF CORRELATED TROUBLE TICKETS IN A NETWORK SERVICE ENVIRONMENT
No full textProposed herein is a system that enables an operations platform to automatically detect, group, and resolve multiple trouble tickets that stem from a single underlying network or service issue. For each new ticket, the system builds a composite representation that combines semantic content with structured attributes and topology context, then compares it against recent tickets within sliding time windows to identify correlated incident groups. When such a group is identified with sufficient confidence, the platform runs a single, group-level troubleshooting and remediation workflow targeting the shared dependency and propagates the resulting root cause, actions, and resolution status back to all member tickets, closing them efficiently while continuously refining correlation behavior over time