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Earlier sources: Manufacturing
This hardware thread follows manufacturing through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗46 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Automated nonplanar slicing for robotic additive manufacturing via voxelized simulation and data-driven voting ↗
Robotic arms enable curved-layer deposition beyond conventional gantry limitations, but selecting a suitable layer field remains challenging. Existing slicers often focus on surface conformity or require part-specific finite element constraints. This study selects layer fields from a bounded library of analytical height fields using voxelized toolpath–mesh agreement and load–layer-plane alignment. Weighted voting selects a field family under a user-defined objective weight, followed by scaling-factor estimation. Random-forest surrogates approximate evaluator-generated labels for repeated queri…
- Hacker News · Posted on Hacker News · First archived
How I think about meaning: and my sneaky tricks for manufacturing more of it ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Risk-Aware Integration of Photovoltaics and Battery Storage into Human–Cobot Manufacturing: A Digital-Twin-Ready Co-Optimization Model for Sustainable Industrial Transition ↗
The increasing penetration of variable renewable energy requires industrial facilities to manage energy supply, production flexibility, and cost exposure simultaneously. This study develops a risk-aware model for the co-optimization of human–cobot production scheduling, on-site photovoltaic generation, and battery energy storage within a digital-twin-ready decision environment. The artifact is an offline prescriptive model; it is not connected to a physical production system and does not include automatic or real-time data exchange. A two-stage computational experiment was conducted using mixe…
- OpenAlex · Published · First archived
Advances in Cold Spray for Repair and Additive Manufacturing: A Review ↗
Cold spray (CS) technology has established itself as a versatile solid-state deposition process with significant potential for both repair applications and the manufacturing of bulk parts. This review examines recent advances in CS, emphasizing its unique ability to deposit metals and composites without melting, thereby minimizing oxidation, thermal distortion, and residual stresses. These advantages have positioned CS as a technique with all the credentials for being used within industry for restoring damaged components, especially, where high microstructural quality and mechanical integrity…
- OpenAlex · Published · First archived
Scalable data fabric for smart manufacturing: A connector-based approach to industrial data integration ↗
The growing adoption of Industrial Internet of Things (IIoT) technologies enables new opportunities for data-driven manufacturing. However, large-scale deployment remains hindered by heterogeneous device protocols, inconsistent semantics, and the continued use of legacy systems. Existing approaches often lack a unified method for achieving technical, syntactic, and semantic interoperability across diverse industrial devices. We propose a Data Fabric architecture tailored for IIoT environments. It defines four core functionalities essential for interoperable data integration: uniform messaging,…
- OpenAlex · Published · First archived
Human–AI-Assisted digital twins for advanced manufacturing: toward industry 5.0 ↗
Abstract Digital twins are increasingly recognized as key enablers of human-centric Industry 5.0 manufacturing. Yet existing reviews rarely examine digital twin architectures, AI methods, human-in-the-loop collaboration, and interaction technologies within a unified analytical framework. This paper systematically synthesizes eighty-two peer-reviewed studies, identified through a PRISMA-2020 systematic search of Scopus, the Web of Science Core Collection, and IEEE Xplore, into a comprehensive analysis of human–AI-assisted digital twins in advanced manufacturing. Four research questions structur…
- OpenAlex · Published · First archived
5D Printing in Additive Manufacturing: Current Status, Applications, and Future Perspectives ↗
Since the late 1980s, additive manufacturing (AM) has emerged as a prominent fabrication technology, experiencing significant advancements over the past decades. Even with its rapid development, this technology still faces many manufacturing challenges. Driven by the development of AM, 5D printing evolved from conventional 3D printing by incorporating five controlled degrees of freedom (three translational and two rotational axes) to enable non-planar deposition, curved-layer fabrication, and improved control of deposition orientation. This review critically analyses and summarizes 5D printing…
- OpenAlex · Published · First archived
Manufacturing Methodology for Single- and Multilayer Square Scintillating Fiber-Based Ribbons for Direct Coupling to Linear Photosensor Arrays ↗
High-Energy and Nuclear Physics research facilities around the world demand cutting-edge instruments dedicated to exploring the signatures of particles knocked out by collisions at ultra-relativistic energies. Each instrument is a class of its own, but shares underlying technologies proven to solve specific challenges. Polymer-based scintillating fibers (cross sections typically below 1 mm2) are sensitive to a large range of particle types and broad energy ranges and provide a fast response, fine spatial segmentation, and a low material budget, making them suitable for particle tracking, beam…
- OpenAlex · Published · First archived
Toward Sustainable Clay-based Additive Manufacturing: Fresh-State and Hardened Mechanical Characterization of 3D-Printable Benjellik Clay Paste ↗
Introduction/Objective Additive manufacturing (AM), particularly 3D printing, has revolutionized material processing by enabling complex geometries with high precision and minimal waste. While Fez-Moroccan clays (specifically from the Benjellik quarry) have been thoroughly characterized for their mineralogical and physicochemical properties, their mechanical behavior - essential for assessing buildability and structural integrity in printed structures - remains poorly understood. This study aims to address this limitation by evaluating the mechanical performance of a 3D-printable clay paste. M…
- OpenAlex · Published · First archived
Simulation-based multi-objective decision support for Comprehensive Digital Twins of smart manufacturing systems ↗
Decision support in Smart Manufacturing Systems (SMSs) often requires balancing conflicting objectives related to multiple system dimensions, such as maximizing the number of completed products while minimizing energy consumption and CO₂ emissions. Comprehensive Digital Twins (CDTs) integrate multiple system dimensions within one executable model to support multidimensional analysis and multi-objective decision-making. However, an automatically extracted, simulation-ready CDT is not inherently optimization-ready because controllable parameters, admissible ranges, optimization objectives, and d…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Manufacturing
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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