In this study, the objective was to optimize energy consumption in the fused deposition modeling (FDM) 3D printing process via a detailed analysis of printing parameters. By utilizing thermal analysis techniques, this research aimed to identify lower printing temperatures that could lead to reduced energy usage. Experimental analysis was conducted using a three-level L9 Taguchi orthogonal array, which involved a systematic combination of different extruder temperatures and cooling fan capacities. Furthermore, the research incorporated differential scanning calorimetry (DSC) and X-ray diffraction (XRD) methods to analyze the thermal properties and crystallinity of the 3D-printed specimens. The results indicated that temperature was a key factor affecting crystallinity, with samples printed at 190 °C and 60% fan capacity showing the highest mean values. By conducting a multi-objective desirability analysis, the optimal conditions for maximizing ultimate tensile strength (UTS), tensile modulus, and elongation at break while minimizing energy consumption for PLA 3D-printed samples were determined to be a temperature of 180 °C and a fan speed of 80%.
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http://dx.doi.org/10.3390/polym16101364 | DOI Listing |
ISA Trans
January 2025
Department of Electrical and Computer Engineering, National University of Singapore, 117538, Singapore. Electronic address:
For tolerant containment control of multi-agent systems, considering the challenges in modeling and the impact of actuator faults on system security and reliability, a finite index dynamic event-triggered policy iteration algorithm is proposed. This algorithm only requires input and output data, without relying on system models, and simultaneously considers the faults and energy consumption issues to improve the system reliability and save energy consumption. The conditions are provided to demonstrate the convergence and optimality of the algorithm, including a convergence speed, that is, the number of iterations required for convergence is finite.
View Article and Find Full Text PDFSci Total Environ
January 2025
Wildlife Health Lab, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, 240 Farrier Rd, Ithaca, NY 14853, USA. Electronic address:
Waterfowl serve as indicators of ecosystem health and represent a pathway of contaminant exposure for hunters who consume them. In the northeast Atlantic Flyway, data on baseline contaminant loads in waterfowl are lacking. We assessed five species of commonly harvested (and consumed) waterfowl for mercury, polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans, polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), and per- and polyfluoroalkyl substances (PFAS).
View Article and Find Full Text PDFJ Environ Manage
January 2025
Management Science Institute, Hohai University, Nanjing, 210098, China.
Residents' satisfaction perceptions of ecosystem services (ESs) are essential for the ecological protection and high-quality development of the Yellow River Basin (YRB). Existing studies lacks large-scale survey of local residents' satisfaction perception at urban scale within river basins, and has not effectively explored the matching relationship between the ESs supply and the perceptions of local residents. To address this gap, this study develops a database on nine ESs supply and individual perceptions of the YRB, constructs a comprehensive framework to quantify the matching of ESs supply and local residents' satisfaction perceptions, and proposes targeted strategy.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Logistikum, University of Applied Sciences Upper Austria, 4400, Steyr, Austria; Supply Chain Intelligence Institute Austria, Vienna, Austria; Faculty of Business & Entrepreneurship, Daffodil International University, Daffodil Smart City, Ashulia, Dhaka, Bangladesh. Electronic address:
Environmental taxes play a critical role in mitigating air pollution and fostering sustainability by internalizing the social costs of environmental damage. By imposing financial disincentives on polluters, these taxes encourage cleaner practices and technological innovation. Using panel ARDL models, this study examines the impact of environmental taxes on CO₂ emissions across 38 OECD countries, accounting for cross-sectional dependence, non-stationarity, and heterogeneity.
View Article and Find Full Text PDFNeural Netw
January 2025
Tsinghua University, Beijing, China. Electronic address:
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However, most existing ANN-based methods require substantial computing resources, which poses challenges for effective deployment on mobile devices. Spiking neural networks (SNNs), on the other hand, hold immense potential for energy-efficient deep learning owing to their binary and event-driven architecture.
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