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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
A Versatile Microfluidic Manufacturing Platform for Macroscale Multicore Hydrogel Capsules Toward Programmable Oral Delivery of Therapeutics ↗
The rapid expansion of personalized precision medicine and the increasing prevalence of chronic diseases have rekindled crucial needs for individualized therapeutic drug delivery systems. Conventional oral formulations are largely based on standardized designs for mass production and therefore lack the flexibility required for patient-specific therapeutic strategies, including combination dosing and controlled release. We report a rapid microfluidic fabrication method for millimeter-scale hydrogel capsules (macrocapsules) as a versatile platform suitable for oral delivery of therapeutics. Our…
- OpenAlex · Published · First archived
Interval Lower-Bound QuantMiner for Identifying Equipment Group–Time Interval Conditions Inducing Quality Degradation in Multi-Stage Manufacturing ↗
Purpose: In multi-stage manufacturing, quality rarely stems from a single operation. It arises from the interaction of equipment routing and continuous conditions such as residence time. Conventional association rule mining is interpretable but confined to categorical conditions. Its reliance on discretization and defect count consequents obscures joint equipment and time effects and misses early quality degradation.Methods: We propose the Interval Lower-bound QuantMiner (ILQ-Miner). Each antecedent combines a categorical equipment group template with a continuous residence time interval [L, U…
- OpenAlex · Published · First archived
Semi-intrusive stiffener path optimisation for hybrid manufacturing ↗
Abstract The paper presents a new semi-intrusive method to optimise the paths of stiffeners on complex surfaces. One motivation for such approaches is hybrid manufacturing, where a conventionally manufactured shell structure is reinforced by additively manufactured stiffeners. This potential application motivates manufacturing constraints, which are embedded in the new approach. These are, in particular, the requirements that stiffeners should be orthogonal to the geometry they are being printed on, and that parallel stiffeners should have a minimum distance, whilst it shall be allowed for sti…
- OpenAlex · Published · First archived
Synergetic optimization of multi-layer energy networks for Lithium-ion battery manufacturing coupled production rhythms ↗
To address the strong coupling between production processes and multi-layer energy networks (MENs), the mutual constraints between production rhythms and intermediate inventories, and the interactions between hourly electricity prices and renewable energy sources in lithium-ion battery factories, this paper proposes a coordinated production scheduling and energy management framework. An integrated multi-layer resource task network (MRTN) coupled with production rhythms and an MEN optimization model is developed. Specifically, an MRTN model is established to describe the sequential manufacturin…
- OpenAlex · Published · First archived
Development of a Dual-Arm Robotic Cell for Automated Manufacturing of Variable-Geometry Thermoplastic Composite Ducts ↗
This research focuses on the development of a robotic cell test bench for manufacturing variable-geometry tubular parts with minimal manual intervention. The system integrates dual-arm manipulation with cutting and laser-welding stations and was evaluated in collaboration with an industrial partner with strict requirements on joint strength and sealing performance. The experimental investigation characterized the influence of key welding process parameters, particularly the robot end-effector travel speed (mm/s) and laser power (W), on the mechanical performance of the welded joints. These par…
- OpenAlex · Published · First archived
From Powder to Performance: Integrated Manufacturing and Post-Processing Strategies for Titanium Alloys ↗
Titanium (Ti) alloys are critical engineering materials widely used in aerospace, biomedical, and high-performance applications due to their high strength-to-weight ratio, corrosion resistance, and biocompatibility. However, their broader adoption remains constrained by complex processing routes, high production costs, and significant challenges in machining and finishing. This review adopts a process chain perspective, analysing how manufacturing routes and post-processing strategies collectively determine the final performance of Ti-alloy components. It provides an integrated assessment of t…
- OpenAlex · Published · First archived
Diabetes-QMS Benchmark: A Multi-Level Industrial Dataset for Temporal Quality Monitoring and Calibration in Glucose and HbA1c Diagnostic-Device Manufacturing ↗
Quality monitoring in diagnostic-device manufacturing requires datasets that preserve temporal, hierarchical, and calibration-related structure while avoiding information leakage in predictive evaluation. This study presents the Diabetes-QMS Benchmark, a de-identified multi-level industrial dataset comprising 800 records: 70 completed glucose quality-control series, 690 HbA1c measurement-level records, and 40 HbA1c production-lot records collected between 2020 and 2026. Technical validation included statistical process control, leakage-aware classification analysis, production-lot-grouped and…
- OpenAlex · Published · First archived
Comparing Mechanical and Tribological Properties of PETg-PTFE-EG/h-BN Composites Produced by Injection Moulding and Additive Manufacturing ↗
Key processing technologies for polymers include traditional injection moulding (IM) and emerging 3D printing or additive manufacturing (AM). The meso-scale structuring and the degree of degradation during processing are likely different for IM and AM, affecting the material properties of the produced parts. Here, studies that examine both mechanical and tribological behaviour remain rare, specifically for less studied materials such as polyesters. In this work, we selected polyethylene terephthalate-glycol (PETg) as the matrix, incorporating polytetrafluoroethylene (PTFE) and solid lubricants…
- OpenAlex · Published · First archived
Metal additive manufacturing for high-performance electrical machines: a review ↗
Achieving high power density and ultra-high efficiency in electrical machines requires overcoming the inherent 2D geometric constraints of conventional mass-manufacturing methods. In this context, additive manufacturing (AM) enables the fabrication of complex, highly integrated components and emerges as a transformative approach for multidisciplinary optimization of mechanical and thermal performance. This critical review synthesizes the latest advances, key limitations, and future research directions for the application of AM to core electrical-machine components. The review covers the tailor…
- OpenAlex · Published · First archived
Monte Carlo-driven reinforcement learning for smart manufacturing systems ↗
Developing a smart control system capable of accounting for the dynamics of industrial equipment state changes and promptly detecting features of developing failures is currently a pressing issue. The goal of this study is to develop an intelligent technology for industrial equipment state diagnostics based on a modified MonteCarloDQN algorithm, with parameter tuning using the Monte Carlo Tree Search (MCTS) method and integration with the GEMMA (Guide d’étude des modes de marche et d’arrêt) model. The result of the algorithm's operation is sent to the GEMMA model “zone D”, which is responsible…
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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