Engineering Reports

Schematic representation of an exhaust gas-driven turbine-powered generator system.

Leveraging Arweave's blockweave and Proof-of-Access consensus, this framework reduces on-chain metadata to 48 bytes, enabling throughput up to 7200 TPS, $$$ 99\% $$$ storage savings, and robust security $$$ \left(\mathrm{Q}(0.4)=0.82\right) $$$ while achieving Tier-S decentralization on $300 mining nodes.

This study investigates the impact of different geosynthetic reinforcements on the shear strength and swelling behavior of expansive montmorillonite clay. The results highlight the superior performance of geogrids and biodegradable geocells in enhancing soil stability, reducing swelling, and improving soil strength under varying stress conditions.

This study enhances ETSC performance using Fe₃O₄-infused PCM, improving heat transfer and storage. At 0.6 wt.% Fe₃O₄, fluid temperature raise to 94.5°C, boosting thermal efficiency to 83.5% and exergy efficiency to 45.2%, demonstrating its potential for sustainable solar energy applications.

This study implements the Industrial Internet of Things (IIoT) in TIG welding to enhance process monitoring and control for SS304 stainless steel. Key findings reveal improved weld quality through real-time tracking of current, speed, gas flow, and arc gap. The cloud-based system enables predictive quality assessment, optimizing mechanical properties like UTS and hardness.

Methodology flowchart.

This paper proposes a coordinated control strategy for wind and thermal unit scheduling under filter ordered removal based on the principle that retaining part of the filter can enhance system stability. By establishing a grid architecture model, introducing static stability constraints, transient stability constraints, and filter capacity constraints, etc., the minimum wind and thermal unit curtailment under DC outage fault is sought. It is proved that the ordered removal of filters can further reduce the curtailment volume, enhance system stability and transmission capacity, and optimize system operation.

This paper introduces RiceLeafClassifier-v1.0, a novel deep learning-based system that improves resource efficiency and sustainability in rice production by detecting diseases early and accurately. This work addresses within-field variability in crop health by merging sensor systems, computational techniques, and real-time interfaces. This enables site-specific management and timely interventions that improve productivity, crop quality, and profitability while minimizing resource waste.

Lithium-ion batteries (LIBs) are crucial for electric vehicles and energy storage but face challenges like vibration-induced degradation in transportation and operation. This study examines vibrations' impact on battery performance through experiments and simulations, highlighting decreased discharge capacities, material degradation, and improved thermal management insights to develop more robust, vibration-resistant LIB systems.

Incorporating waste glass powder (GP) into cementitious mortars significantly reduces environmental impact, with a 35% decrease in embodied carbon and energy at 40% GP replacement. This study shows that GP enhances long-term mechanical strength, cuts autoclave expansion by 50%, and refines microstructure through denser C-S-H formation.

This study explores the strategic integration of Fused Deposition Modeling (FDM) for 3D-printed reinforcement in concrete and cementitious materials. It identifies optimal reinforcement geometries, such as auxetic and truss structures, demonstrating their impact on flexural strength, ductility, and energy dissipation—advancing additive manufacturing in construction.

Polyester fiber composites with short banana fibers (5–20 wt.%) were studied for damping properties. Mechanical traits, free vibration, and SEM analysis reveal 15 wt.% fibers enhance strength, damping, and frequency. Hand layup fabrication shows improved tensile, flexural, and impact properties. Fiber addition reduces damping curve peaks, optimizing performance.

The graphical abstract addresses the potential operational, economic, and environmental benefits of washing commercial engine compressors within the framework of the Blue Economy. A methodology comprising a literature review, case study analysis, and operational, economic, and environmental assessments was employed. Results indicated that implementing new washing equipment led to a 1.8% improvement in efficiency, a reduction of 6.5 million gallons in fuel consumption, annual cost savings of $179,000, and a 6.9% decrease in environmental impact. Additionally, water usage was reduced by 34%, with 50% of the water being reused, contributing to the protection of the Guarani Aquifer by preventing contamination. The study concludes that integrating Blue Economy principles into engine compressor washing practices can significantly enhance operational efficiency, reduce economic costs, and mitigate environmental impacts.

This study explores how bidirectional semiconductor devices, enhanced by wide bandgap materials, significantly improve the efficiency and stability of DC and hybrid microgrids. Key findings demonstrate their potential in optimizing energy management and supporting renewable integration in advanced power systems.

This study develops lightweight concrete using fly ash and epoxy resin-based polymer aggregates, achieving up to 15.36% weight reduction, improved flexural strength, and enhanced durability in acidic and brackish environments, with limitations in high-temperature resistance.

This study explores the integration of radio frequency identification (RFID) technology as a novel approach to enhance resource management in 5G/6G networks. The research motivation is in overcoming network challenges including spectrum congestion, high latency, and inefficient load balancing, which impede the performance of traditional resource allocation methods. The proposed system achieved a 25% increase in spectrum utilization, a 30% reduction in average latency, a 15% boost in network throughput, and a 20% decrease in overall energy consumption.

J. curcas was hydrothermally liquefied (HTL) using water and palm oil mill effluent (POME) as a hydrogen donor solvent. Palmitic and oleic acids were detected by the POME analysis utilizing GC–MS by manipulating three parameters (temperature, reaction time, and biomass-to-solvent ratio).

The study explores the factors driving the implementation of Supply Chain Management 4.0 (SCM 4.0) in pharmaceutical manufacturing industries. Data were gathered from 111 SCM-related companies using a mixed-methods approach. The study identifies regulatory compliance, market, technological, and economic factors as key drivers. Research, development, and innovation are identified as the top strategies. Digital transformation, including the Internet of Things, artificial intelligence, blockchain, and big data analytics, can improve efficiency, reduce risks, and streamline manufacturing workflows. Thus, Industry 4.0 technologies can foster Pharma 4.0 in the pharmaceutical manufacturing industries.