Search Results (215)

The herpes simplex virus 1 (HSV-1) US3 is a multifunctional serine/threonine kinase that promotes HSV-1 replication and spread. But its role and the mechanisms by which US3 regulates actin cytoskeletal remodeling remain poorly defined. We combined flow cytometry, confocal microscopy, immunoprecipitation-mass spectrometry (IP-MS), protein complex mapping, and machine learning to characterize US3-mediated F-actin dynamics. Flow cytometry and confocal microscopy showed that wild-type HSV-1 induces significant F-actin remodeling, while the ΔUS3 mutant displays F-actin levels comparable to uninfected cells, identifying US3 as a key regulator. IP-MS identified 47 high-confidence US3 interactors enriched in conserved actin regulatory complexes, including Arp2/3 nucleation machinery, formin-associated assemblies, cofilin severing complexes, and Rho-family GTPase modules. Mapping interactors to the CORUM database revealed clustering within actin nucleation, polymerization, and severing complexes, indicating that US3 operates through organized cellular machines. Machine-learning classifiers trained on label-independent mass-spectrometry features were used to prioritize interactors resembling known actin regulators; under protein-group-aware cross-validation, logistic regression performed best (average precision 0.24; ROC-AUC 0.66), and the analysis was interpreted as prioritization rather than de novo discovery. Pharmacological inhibition of Arp2/3 and formin pathways significantly attenuated US3-dependent F-actin remodeling, supporting the functional involvement of these pathways. Together, these findings are consistent with an inferred hierarchical axis in which US3 modulates Rho GTPase signaling and cofilin activation to promote F-actin disassembly, coordinating cytoskeletal remodeling required for efficient viral egress and spread. Full article

This study presents the design, manufacturing, and prototype-level evaluation of a high-efficiency interior permanent magnet synchronous motor (IPMSM) developed for compact electric vehicle traction applications. The proposed motor employs a 12-slot/10-pole spoke-type rotor topology and was evaluated in terms of electromagnetic performance, mechanical integrity, and thermal behavior. The slot–pole and winding configuration was assessed as part of the design evaluation, and the manufactured prototype was experimentally tested under different operating conditions. The experimental results were compared with numerical simulations using line-to-line back-EMF, efficiency maps, phase current–torque characteristics, and output power variation. At the nominal operating point of 7000 rpm and 3.5 Nm, the prototype delivered 2.5 kW output power with an experimental efficiency of 90.7%. The deviations between experimental and simulation results were 1.17% for phase current, 0.48% for line-to-line back-EMF, 1.18% for input power, and 1.20% for efficiency. Mechanical static structural finite element analysis indicated a rotor safety factor of 3.61 under the maximum centrifugal loading condition, while the resulting structural deformation remained sufficiently low to avoid adverse effects on air-gap alignment. In addition, the rotor incorporated an adhesive-free, mechanically disassemblable magnet-retention structure, which was mechanically evaluated under centrifugal loading and showed no magnet displacement, structural damage, or bolt-preload loss after testing. Thermal analysis and continuous-load experimental testing showed that the winding temperature remained around 80 °C under passive cooling conditions. Overall, the results demonstrate that the manufactured IPMSM prototype provides consistent electromagnetic performance, adequate mechanical reliability, and thermally safe operation for compact electric vehicle applications. Full article

Matrix manufacturing requires close coordination between collaborative workcells, mobile robots, and battery management resources to support the execution of heterogeneous human-robot operations in reconfigurable production environments. This paper presents a cyber-physical robotic coordination framework for human-robot teams deployed in an industrial matrix manufacturing system, integrating a collaborative workstation, a fleet of mobile programmable cobots, and an automatic battery changer through ROS/OPC UA communication. The framework coordinates task execution, intra-logistics, and energy management through a decision layer that assigns operations to human and robotic agents, relocates idle mobile robots, and triggers battery swaps. Three coordination modules—a Battery Management Module, a Task Allocation Module, and a Robot Relocation Module—implement this pipeline by computing feasible execution plans at each scheduling cycle, accounting for human and robot capabilities, workstation availability, transport times, and battery state. The approach is validated on a deployed industrial matrix manufacturing platform through a disassembly task comprising human-only, robot-only, and human–robot collaborative operations, demonstrating the feasibility of coordinating heterogeneous robotic and human resources in a physical reconfigurable manufacturing environment. Full article

Designing modern disassembly systems requires the integration of industrial automation equipment. Due to the support of various communication protocols, PLCs not only perform control tasks but also act as intelligent data centers in distributed production systems. PLC solutions increasingly combine traditional approaches to automation with modern digital technologies, enabling predictive maintenance, real-time data analysis, as well as remote process management and integration with digital twin simulation. The takt time of manual disassembly may vary due to human and technical factors; therefore, its estimation is a problem in many processes including, for example, Bluetooth speakers. This article discusses the issue of PLC-based control systems for a sorting process of dismantled parts, and the methodology of a digital twin framework in FlexSim software. A prototype of a sorting line based on a conveyor belt with an S7-1200 series PLC controller and a full digital twin development cycle were presented. The explicit assessment of takt-related temporal fidelity in PLC-mediated event streams remains less developed. Therefore, this article addresses this gap by using a Digital-Twin-in-the-Loop (DTiL) configuration as a digital twin validation setup in which a source process model generates PLC-mediated events and a separate resulting digital twin model is evaluated against this source. The article focuses on temporal fidelity, PLC-mediated event transfer, and takt-time estimation. Thus, the gathered empirical time data were then fed into the digital twin model and analyzed to obtain information about the time delay of the PLC signals. This article separates the general digital twin architecture from one specific validation scenario implemented in a digital twin in-the-loop configuration with FlexSim, Siemens TIA Portal, PLCSim Advanced, and a local network communication chain. Delay analysis is based on photocell event timestamps and inter-event time differences, which reduce the effect of initial clock mismatch. The results indicate that, under the tested local-network DTiL configuration, absolute event delays are visible, while inter-event timing and aggregated takt statistics remain highly consistent between the source and resulting models. These findings support the preliminary feasibility of PLC-mediated takt-oriented monitoring for long manual operations. Nevertheless, broader validation under different controller configurations, communication conditions, and operating scenarios is required before generalizing the proposed approach. Full article

Reconfigurable robotic systems have emerged as platforms for particle manipulation owing to their adaptability and capability to alter structural configurations according to task requirements. However, achieving programmable particle capture, transportation, and release through cooperative interactions among untethered robots within microfluidic environments remains challenging. In the present study, reconfigurable cilia-based magnetic millirobots (CMMRs) were developed for cooperative particle manipulation through programmable assembly. The platform consisted of multiple CMMRs that were independently actuated using an electromagnetic coil array and assembled into a cooperative structure possessing a central cavity for particle confinement. Through sequential electromagnetic coil activation and pulse-width modulation-based control, programmable assembly, transportation, and disassembly of the CMMRs were achieved. During assembly, self-organization analysis demonstrated that the constituent CMMRs converged toward this configuration, enabling formation of the cooperative structure needed. Subsequently, particle transportation experiments demonstrated the confinement and transportation of particles along predefined trajectories, with trajectory deviations maintained below 5%. Furthermore, μPIV characterization revealed that the assembled structure generated a directional transport corridor with a flow velocity of 4.5 mm s⁻¹, providing a hydrodynamic environment for particle transportation compared with individual CMMRs. The demonstrated capabilities can serve as a foundation for reconfigurable untethered robotic systems capable of microhandling operations in lab-on-a-chip environments. Full article

Background: Efficient and safe instrument exchange remains an important challenge in robot-assisted laparoscopic surgery (RALS). Current workflows require human assistance, increasing staff workload and contamination risk. The modular design of the AdLap robotic laparoscopic instruments enables automated exchange of instrument shafts. This study presents the development and validation of the Instrument Carousel Exchange System (ICES). Methods: An automatic ICES was developed for the AdLap robotic surgery platform of the Delft University of Technology. The prototype was designed to hold six Shaft-Actuated Tip-Articulating (SATA) modular instrument shafts (SATA instrument line, SATA Medical, Amsterdam, The Netherlands) and focused on compactness, robustness, modularity, and rapid disassembly for cleaning and sterilization. System performance was evaluated using repeated autonomous instrument exchange cycles without user interaction. Reliability, alignment tolerance, safety, and exchange duration were assessed. Results: The ICES prototype was successfully designed, manufactured, and tested. Repeated functional testing demonstrated reliable autonomous instrument shaft exchange without human intervention. The system tolerated minor alignment deviations while maintaining stable and safe operation. The mean time for a complete instrument shaft exchange was 84 s (SD = 10 s). The modular architecture allowed straightforward disassembly and maintenance while preserving structural integrity and compact design. Conclusions: The developed ICES represents a substantial step toward fully automated modular instrument handling in RALS. Automated instrument exchange may reduce staff workload and minimize contamination risk during procedures. Future work will focus on improving automation speed, alignment efficiency, and autonomous reinsertion of the instrument shaft through the trocar to further enhance clinical applicability. Full article

With growing interest in automated dismantling operations for hazardous environments, automatically planning safe and efficient disassembly sequences is becoming increasingly important. When a large structure is segmented into parts, the removal order must ensure that each part can be extracted safely without destabilising the remaining structure. This paper presents a comparative study of four algorithms for solving the disassembly sequencing problem in two dimensions: First Feasible Random Search (FFRS), Greedy Search (GS), Height-Decreasing Search (HDS), and Stochastic Tree Search (STS). The present study focuses specifically on sequencing feasibility under geometric and physical constraints, namely connectivity, accessibility, and structural stability. The 2D formulation provides a simplified yet computationally efficient testbed for analysing algorithmic behaviour under varying cutting complexities, with the objective of minimising the total removal trajectory length. Results show that while STS consistently finds optimal or near-optimal solutions, its factorial runtime limits scalability. GS produces high-quality solutions efficiently but can become trapped in infeasible configurations, whereas HDS offers strong reliability and speed at the expense of solution quality. Based on these findings, a hybrid height-based backtracking algorithm is proposed as a promising future direction, combining the efficiency of greedy search with the robustness of stochastic exploration. The results provide insight into the relative strengths and limitations of different sequencing strategies and establish a foundation for future extension to more realistic dismantling scenarios, including 3D and radiologically constrained applications. Full article

This paper presents a battery cell joining solution leveraging adhesively bonded lithium-ion cells as a foundation for scalable, serviceable, and recyclable energy storage platforms. The proposed design methodology enables mechanically and electrically functional connections and supports a design concept intended for compatibility with automated manufacturing and future robotic disassembly. A123 26650-format cells were tested using Epo-Tek 430 conductive adhesive, with performance evaluated through ESR and G-force measurement experiments. The results indicate that no measurable change in electrical performance was observed within the resolution of the measurement system, while supporting a design concept intended to improve modularity and serviceability. The proposed system shows potential for further investigation in electric vehicle and industrial energy system applications, although further validation under realistic operating conditions is required. Full article

In line with circular bioeconomy goals, this research focuses on circular materials—reused, bio-based (including waste-derived ones) and recycled—as a strategic solution to simultaneously cut Embodied Carbon and material resource uptake in buildings. The research develops a methodology for early, rapid assessment of circular materials’ contribution to cutting climate-altering emissions and material consumption, supporting architects during the initial design stage, where strategic choices are most impactful. Multiple case studies of buildings employing 12 circular design strategies and different materials were analysed, of which 10 are presented here, mapping approaches and material mixes. In parallel, by analysing 15 existing circularity and sustainability evaluation frameworks at the building and product level, screening 80 relevant indicators and integrating specific ones, the research develops a set of eight KPIs enabling designers to assess alternative combinations of reused, bio-based and recycled building materials from the early design stage. Validated on three case studies, the KPIs proved sensitive in capturing the diversity of circular material strategies by measuring circular material origin, local materials, disassemblability, material and Embodied Carbon intensity, with the latter proving particularly effective in cross-measuring the impacts of material choices. The research thus provides operational support for rapid comparative assessments guiding design decisions during early stages, focusing on materials, processes and relative impacts. Full article

Design for Disassembly (DfD) is often assessed theoretically, with limited empirical evaluation of operational effort at the component level. This paper proposes an empirical assessment framework to evaluate DfD strategies in panelized light timber systems by disaggregating disassembly into individual actions and calculating performance indices. A Disassembly Effort Factor is introduced and, combined with reuse and recycling outcomes, used to calculate a Reuse Potential Index and a Recycling Potential Index. The framework was evaluated through experimental disassembly tests of two full-scale (1:1) assemblies with different DfD strategies. Results showed comparable total disassembly times between Model A (181 min) and Model B (186 min), but contrasting recovery outcomes: Model B achieved a higher average ReuPI (35% versus 16%), whereas Model A showed a higher average RecPI (35% versus 20%). These findings demonstrate that the proposed framework enables empirical comparison of DfD strategies by linking operational effort with recovery potential, supporting DfD-oriented design decision-making in panelized timber systems. Full article

Cell culture is foundational to biomedical advancements, yet its widespread clinical and practical distribution is severely constrained by the high infrastructural costs of cryogenic logistics and the physical stressors of liquid-phase transit. Herein, we propose a proof-of-concept cryogen-free cell transportation strategy leveraging a rapid reversible thermoresponsive collagen (RRTC) hydrogel regulated by simulated body fluid (SBF). Operating via temperature-driven physical network assembly and disassembly rather than chemical crosslinking or chemical modifications, the RRTC system undergoes a rapid sol-to-gel transition within 60 s at 37 °C for efficient cell encapsulation, and completely reverses to a free-flowing sol state within 60 s at 4 °C to facilitate enzyme-free, non-destructive cell retrieval. Using L929 fibroblasts as a standardized benchmarking cell model, the biophysical protection of the matrix was systematically evaluated under both static simulated transit (48 h and 120 h) and real-world trans-city courier transportation (an approximate 50 h round trip via SF Express) within a passively temperature-shield configuration. The SBF-regulated 3D physical confinement successfully shielded cells from manual handling, multi-axis shipping vibrations, and environmental thermal fluctuations. Post-transport evaluations demonstrated that the encapsulated cells maintained a high viability above 90% and a stable recovery yield of approximately 78%, while exhibiting robust subsequent 2D re-adhesion and sustained re-culture capacity. This thermoresponsive matrix provides a potential matrix for short-term cryogen-free cell transportation and post-transport recovery, while further studies using additional cell types, longer transportation periods, and functional assays are required to evaluate its broader applicability. Full article

Rotor blades in aero-engines operating in sand-laden environments are highly susceptible to particle-induced erosion. Conventional sand ingestion experiments primarily rely on post-test disassembly, which lacks the capability for real-time surface shape analysis. To overcome this limitation, this study proposes a high-precision three-dimensional (3D) shape measurement method for ultrafast dynamic scenarios, based on pulsed laser illumination and stroboscopic structured light. In the proposed approach, a pulsed laser is employed to illuminate a physical grating, generating stroboscopic structured fringe patterns that are projected onto high-speed rotating blades. The deformed fringe images are synchronously captured by a high-speed camera and processed using Fourier transform profilometry (FTP) to reconstruct fine surface features with high accuracy. Compared with conventional LED-based stroboscopic systems, the pulsed-laser-based scheme effectively suppresses motion blur and significantly improves image intensity under ultra-short exposure conditions. Experimental results demonstrate that stable and high-quality fringe acquisition can be achieved at high rotational speeds. The method enables precise quantification of micro-scale defects, such as scratches and pits, providing a reliable solution for in situ monitoring and performance evaluation in aero-engine sand ingestion tests. Full article

Heavy-haul railways require efficient rail replacement because extreme axle loads and high-density transport accelerate rail wear. Traditional manual-led processes are limited by fragmented operations, high labor demand, and complex equipment scheduling, typically completing about 1 km of rail replacement within a 4 h maintenance window and requiring approximately 340 workers. This study is positioned as construction-process modeling, workflow organization, and simulation-supported feasibility analysis for an integrated rail-changing workflow, rather than the development or field validation of a fully mature rail-changing machine. The proposed workflow coordinates rail unloading, on-board welding, fastener disassembly, rail cutting, exchange-recovery, fastening, closure welding, and final inspection through a highly parallel construction organization. A process-level train-set configuration, including a tractor, a long-rail comprehensive transport vehicle, an exchange-recovery integrated transport vehicle, and a mobile welding vehicle, is used as an engineering carrier to support the closed-loop workflow of unloading, welding, exchange, and recovery. Based on engineering time-study analysis, field experience, expert consultation, and discrete-event simulation, the results indicate that the proposed workflow has the potential to complete a simulated 2 km rail-changing task within a single 4 h maintenance window with an estimated labor demand of 80–95 personnel under the specified assumptions. The study provides conceptual and simulation-supported feasibility evidence for construction-process organization, rather than field-validated machine performance, and offers a technical reference for improving the mechanization and coordination of heavy-haul railway maintenance. Full article

Accurate estimation of internal battery temperature is critical for the safety and state-of-health assessment of lithium-ion batteries, yet it remains challenging due to the trade-off between model accuracy and computational feasibility on resource-constrained edge hardware. This work targets stationary large-scale battery energy storage stations (BESS), where ambient temperatures are actively regulated within a narrow range (typically 15–35 °C), and is developed and validated on large-format prismatic LFP cells. We propose ThermaPhysLite, a lightweight physics-informed neural network (PINN) framework with three innovations: (i) a lightweight PINN architecture tailored for edge devices; (ii) integration of a simplified electro–thermal model—a lumped-parameter thermal circuit coupled with the Bernardi heat generation equation—into a multi-scale temporal convolutional network (MS-TCN) through the PINN paradigm; and (iii) real-time online deployment on the ESP32-S3 embedded platform. Ground-truth internal temperatures were obtained via side-drilled thermocouple embedding in disassembled cells. Offline validation under three operating conditions demonstrates RMSE values of 0.15–0.20 °C. Following INT8 quantization (compressed to 84.29 KB), online deployment yields RMSE values of 0.17–0.24 °C with single-cell inference latency of 120 ms, demonstrating practical viability for BMS in large-scale energy storage systems. Full article

The increasing number of end-of-life (EOL) products has raised new challenges for sustainable manufacturing, especially when recycling efficiency, structural modularity and worker well-being must be considered simultaneously. From the perspective of symmetry and asymmetry in mechanical product design, this study proposes a Design for human-centric Modular Recycling (DFHMR) approach to improve EOL product recycling while reducing ergonomic risks in disassembly operations. In the proposed framework, functional similarity, structural correspondence and spatial association among components are used to characterize symmetry-oriented modular relationships, whereas asymmetric factors such as disassembly difficulty, carbon emissions, recycling profit and worker-related ergonomic risks are incorporated to describe the heterogeneity of practical recycling processes. A multi-objective optimization model is developed to maximize green disassembly performance and intra-module relevance while minimizing inter-module coupling and human-factor risks. To solve the constrained modular design problem, an enhanced social engineering optimizer (SEO) is introduced to balance global exploration and local exploitation. A turbo reducer case study is conducted to validate the proposed model, and comparative experiments with several multi-objective optimization algorithms demonstrate the effectiveness and robustness of the enhanced SEO. The results indicate that the DFHMR framework can provide decision-makers with a set of balanced modular recycling schemes, offering a practical reference for symmetry-oriented, sustainable and human-centered mechanical design under Industry 5.0. Full article