Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 121 - 126
Published: Jan. 1, 2025
Language: Английский
Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 227, P. 120803 - 120803
Published: March 8, 2025
Language: Английский
Citations
1
Journal of Manufacturing and Materials Processing, Journal Year: 2024, Volume and Issue: 8(5), P. 197 - 197
Published: Sept. 13, 2024
Selective laser sintering (SLS) is a bed fusion additive manufacturing technology that facilitates rapid, versatile, intricate, and cost-effective prototype production across various applications. It supports wide array of thermoplastics, such as polyamides, ABS, polycarbonates, nylons. However, plastic components using SLS poses significant challenges due to issues like low strength, dimensional inaccuracies, rough surface finishes. The operational principle involves utilizing high-power-density fuse polymer or metallic powder surfaces. This paper presents comprehensive analysis the process, emphasizing impact different processing variables on material properties quality fabricated parts. Additionally, study explores application machine learning (ML) techniques—supervised, unsupervised, reinforcement learning—in optimizing processes, detecting defects, ensuring control within SLS. review addresses key associated with integrating ML in SLS, including data availability, model interpretability, leveraging domain knowledge. underscores potential benefits coupling situ monitoring systems closed-loop strategies enable real-time adjustments defect mitigation during manufacturing. Finally, outlines future research directions, advocating for collaborative efforts among researchers, industry professionals, experts unlock ML’s full provides valuable insights guidance researchers regard 3D printing, highlighting advanced techniques charting course investigations.
Language: Английский
Citations
7
Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Citations
5
European Journal of Pharmaceutical Sciences, Journal Year: 2024, Volume and Issue: 200, P. 106850 - 106850
Published: July 10, 2024
Language: Английский
Citations
4
Metals, Journal Year: 2024, Volume and Issue: 14(9), P. 975 - 975
Published: Aug. 28, 2024
This article presents a comparative analysis of the crucial physical properties electrically conductive components made pure copper, produced by various additive manufacturing technologies such as binder jetting (BJ) and direct metal laser sintering (DMLS). The comparison concerned assessment critical parameters important from application point view, as: electrical conductivity, hardness, yield point, microstructure occurrence internal material defects. Same-sized in conventional casting subtractive method (machining) were used reference material. Comprehensive tests wide range allowed us to determine that among selected methods, printing using DMLS technique for obtaining arcing contact with mechanical very similar element. Therefore, obtained results showed possibility copper elements switching protection devices electrification energy distribution industrial sectors.
Language: Английский
Citations
4
Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 135 - 154
Published: Jan. 2, 2025
This chapter deeply explores the production sector's complex dynamics, emphasizing revolutionary effects of manufacturing technology breakthroughs. explains how automation, additive manufacturing, and Internet Things (IoT) revolutionize processes, increase efficiency, improve supply chain operations. It does this by exploring these technologies in detail. The unique contributions each are that automation enhances productivity consistency while lowering costs minimizing human error; or 3D printing, allows for mass customization, decreases waste, speeds up prototyping; IoT enables real-time monitoring, predictive maintenance, optimization. These propelling development smart factories Industry 4.0, leading to highly efficient, flexible, responsive systems. A practical experience simulates establishment an intelligent factory students' comprehension 4.0 digitalized environment.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Poly(L-lactide) (PLA) is an attractive polymer for medical applications due to its biodegradability and biocompatibility, making it a promising candidate the production of fused deposition modeling (FDM) monofilaments. However, inherent brittleness limits broader applicability. To overcome this limitation, mechanical toughness PLA was improved by melt blending with various plasticizers, including acetyl triethyl citrate (ATEC), suberic acid (SA) poly(ethylene glycol) (PEG). The effects plasticizer structure (4-arm ATEC, 2-arm SA 1-arm PEG) their concentrations (0.1, 0.3, 0.5 1.0 wt %) on thermal properties, crystallization, viscosity flow index were investigated. results demonstrated that incorporating minimal amount (0.1%) ATEC (PLA/A) enhanced flexibility, evidenced significant increase in elongation at break, though slight reduction tensile strength compared other plasticizers. Thus, 0.1 wt% selected fabricating monofilaments diameter 1.70 ± 0.05 mm. Although inclusion slightly reduced strength, significantly break. Moreover, surface wettability relative neat PLA. also exhibited excellent non-cytotoxicity, more than 99% cell viability L929 fibroblasts. Additionally, PLA/ATEC monofilament stored 5°C superior stability those 25°C 50°C. These findings suggest hold promise FDM applications, providing properties suitable development.
Language: Английский
Citations
0
Journal of Manufacturing and Materials Processing, Journal Year: 2025, Volume and Issue: 9(1), P. 20 - 20
Published: Jan. 10, 2025
A new method of producing metal powders for additive manufacturing by the atomization free-falling melt streams using pulsed cross-flow gaseous shock or detonation waves is proposed. The allows control shock/detonation wave intensity (from Mach number 4 to about 7), as well composition and temperature products choosing proper fuels oxidizers. implemented in laboratory industrial setups preliminarily tested melts three materials, namely zinc, aluminum alloy AlMg5, stainless steel AISI 304, possessing significantly different properties terms density, surface tension, viscosity. Pulsed used are generated gun (PDG) operating on stoichiometric mixture liquid hydrocarbon fuel oxygen. analysis solidified particles particle size distribution powder studied sifting sieves, optical microscopy, laser diffraction wet dispersion (WDM), atomic force microscopy (AFM). operation process visualized a video camera. minimal obtained shown be low 0.1 1 μm, while maximum exceeds 400–800 μm. latter explained deficit energy shock-induced complete stream, particular dense thick (8 mm) stainless-steel melt. mass share with fraction 0–10 μm can at least 20%. shape finest fractions (0–30 30–70 μm) close spherical (zinc, aluminum) perfectly (stainless steel). coarser (70–140 larger) more irregular. Zinc contain agglomerates form fine satellites. content very low. In general, preliminary experiments show that proposed production finely dispersed demonstrates potential characteristics.
Language: Английский
Citations
0
PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0317616 - e0317616
Published: Jan. 17, 2025
This study presents a novel method for creating customized brain slice matrices using Computer-Aided Design (CAD) and 3D printing technology. Brain Slice Matrices are essential jigs the reproducible preparation of tissue sections in neuroscience research. Our approach leverages advantages printing, including design flexibility, cost-effectiveness, rapid prototyping, to produce custom-made based on specific morphometric measurements. The developed protocol is user-friendly incorporates features such as embossed identifying markers support structures challenging thin regions, thereby enhancing its practical utility. demonstrates cost-effective fabrication custom matrices, significantly reducing both material expenses production time compared traditional manufacturing techniques ready-made products. work contributes growing application biomedical research, offering valuable tool neuroscientists requiring precise consistent sectioning.
Language: Английский
Citations
0
Journal of Micromanufacturing, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 18, 2025
Additive manufacturing (AM) processes are gaining widespread applications due to their ability produce complex parts with reduced lead times. Fused deposition modeling (FDM), a promising AM process, demands precise control over its process parameters optimize the performance. This article investigates impact of FDM on dimensional accuracy microturbine impeller used in an organic rankine cycle (ORC). A full factorial design was employed analyze including layer thickness, infill density, and angle. Dimensions were measured using coordinate measuring machine (CMM), these experimental results further establish relationship between accuracy. The adequacy developed predictive quadratic regression model verified through analysis variance (ANOVA). Individual interaction effects selected identified discussed. revealed that thickness is significantly impacting Further, response surface methodology (RSM) for enhanced study presents significant method enhance adoption functional parts.
Language: Английский
Citations
0