A Study of the Optimization of FDM Parameters for the Manufacture of Compression Specimens from Recycled PETG in the Context of the Transition to the Circular Economy DOI Open Access
Dragoș Gabriel Zisopol,

Mihail Minescu,

Dragos Valentin Iacob

и другие.

Engineering Technology & Applied Science Research, Год журнала: 2024, Номер 14(6), С. 18774 - 18779

Опубликована: Дек. 2, 2024

The current paper presents the results of a research on optimization Fused Deposition Modeling (FDM) parameters, namely height deposited layer in one pass, Lh, and filling percentage, Id, with purpose manufacturing compression specimens from recycled Polyethylene Terephthalate Glycol (rPETG), thus, aiming transition to circular economy. A total 45 were manufactured rPETG Anycubic 4Max Pro 3D printer variable parameters Lh = 0.10 mm, 0.15 0.20 Id 50%, 75%, 100%. All tested Barrus White 20 kN universal testing machine. considered influence Compressive Strength (CS) specimens, being parameter overwhelming influence.

Язык: Английский

The cracking behavior of Ni superalloys fabricated by direct laser deposition: the spatial distribution and formation mechanism DOI

Yang XingMing,

Miao Liu, Hao Yu

и другие.

Materials Science and Engineering A, Год журнала: 2025, Номер 924, С. 147862 - 147862

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

2

Corrosion behavior of steel parts repaired using additive manufacturing: Overview and research perspective DOI Creative Commons

Marina Furbino,

Rubén del Olmo, Reynier I. Revilla

и другие.

Materials & Design, Год журнала: 2025, Номер unknown, С. 113769 - 113769

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Technological trajectories in circular economy: Bridging patent analytics with sustainable development goals DOI
Mehrdad Maghsoudi, Navid Mohammadi,

Mahdi Soghi

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 379, С. 124752 - 124752

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

1

Case study of potential design perceptions for 3D printed accessories made of used face masks DOI Creative Commons
Changhyun Nam

Clean Technologies and Recycling, Год журнала: 2025, Номер 5(1), С. 1 - 21

Опубликована: Янв. 1, 2025

<p>This study aimed to explore consumer perceptions and acceptance of potential 3D-printed accessories made from used face masks. Based on the principles circular economy, a proposed conceptual framework was developed determine role experiential value in relationship between product design perception perceived purchase intention. Data were collected through web-based survey questionnaire, employing nationwide convenience sample consumers via crowdsourcing marketplaces. Among 899 respondents, 470 female, 429 male, with an average age 38. A structural equation model test hypotheses framework. The findings indicated that experience plays crucial significantly enhancing intentions for Participants identified jewelry, electronic cases, home decor items (e.g., picture frames) as top three preferred categories 3D printing. Usability, social value, environmental concerns emerged most influential components driving accessories. Additionally, confirmed mediating These provide opportunities rethink, redesign, reimagine environmentally responsible, socially inclusive, economically viable practices. development new printing filaments using recycled plastic-based materials further aligned Finally, this offers critical bridge academia industry, paving way sustainable future innovation manufacturing.</p>

Язык: Английский

Процитировано

0

Recycled vs. Virgin Materials in Additive Manufacturing: Assessing the Risk Mitigation Potential in Uncertain Supply Scenarios DOI Open Access
Antonio Piepoli, Francesco Paolo Lagrasta, Roberta Pellegrino

и другие.

Procedia Computer Science, Год журнала: 2025, Номер 253, С. 2605 - 2614

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Additive Manufacturing and Chemical Engineering: Looking for Synergies from a Bibliometric Study DOI Creative Commons
Rodrigo A. Estévez, Esteban Quijada‐Maldonado, Julio Romero

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 2962 - 2962

Опубликована: Март 10, 2025

Additive manufacturing must be highlighted as an innovative technology with the capacity to produce objects complex and customized geometries using a diverse range of raw materials. Despite its significant potential, research compiling evaluating specific contributions additive in field chemical engineering was scarce both quantitative qualitative terms. Similarly, application tools has not been specifically reviewed. Therefore, this work conducted comprehensive review scientific literature covering these issues bibliometric analysis. The search encompassed entirety up year 2023, yielding 3761 documents Scopus database. principal findings analysis indicated exponential growth number publications, which suggests rising interest field. revealed that English dominant language documents, articles constituted most common document type, indicating quality maturity research. thematic distribution proved multidisciplinary, primary focus on materials science, well basic sciences. United States foremost contributor production, followed by China Germany. Keyword scrutiny cited enabled identification main topics, were found include biofabrication biomedical applications. Moreover, network software SciMAT (v 1.1.06) yielded corresponding strategic diagrams, evolution maps, networks, provided overview trends gaps. considerable other purposes overshadowed applications within field, while potential could make have eclipsed too. On one hand, focused process intensification benefit from design advanced microreactors miniaturized devices or more efficient heat exchangers, catalysts, adsorbents separation membranes structures. life cycle assessment optimization are established should extensively employed context ensure sustainable outcome.

Язык: Английский

Процитировано

0

Integrating sensors and Machine Learning: A smart monitoring system prototype for quality assurance in additive manufacturing for the aerospace industry DOI
Leonardo Agnusdei, Antonio Ficarella, Antonio Del Prete

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

Abstract Ensuring quality of aerospace components produced via additive manufacturing is challenging because conventional methods are often reactive and insufficient to detect prevent defects in real time, not addressing the complexity precision required. The main aim this study develop an innovative smart monitoring system which integrates electronic nose (e-nose), a thermal camera, convolutional neural networks (CNN) anomalies during production process designed for purposes. adopted methodology involves combining chemical data collected by e-nose be analyzed using CNN. anomaly detection enables real-time corrective actions, optimizing parameters. CNN’s iterative learning capabilities ensure adaptive improved over time. Results demonstrate that integrated multi-sensor approach has potential enhance significantly accuracy, reduce material waste, compliance with standards. prototype originality lies synergistic integration advanced technologies machine AM processes, providing proactive solution defect prevention. Practical implications include increased efficiency, reduced costs, sustainability, as well scalability other high-stakes industries requiring rigorous assurance.

Язык: Английский

Процитировано

0

FEM simulation and experimental study on milling Laser-clad Inconel 718 DOI

Changlong Zhao,

Zihao Zhang,

Weilong Du

и другие.

Surface Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

Laser cladding of Inconel 718 coatings offers significant advantages in the repair high-value components, but its low dimensional accuracy and high surface roughness limit direct application. This study developed a novel 3D milling simulation model incorporating layer anisotropy experimentally optimized machining parameters through milling, aiming to minimize axial cutting forces, improve quality, maximize material removal rate (MRR). First, optimal laser were designed, experiments achieved flatness 85.247% for layer. A was developed, multi-objective genetic algorithm employed resolve Pareto frontier. Next, finite element simulations analyzed force, Mises stress, temperature under speeds ranging from 50 80 m/min, feed rates 0.04 0.08 mm/z, depths 0.3 0.7 mm. The results showed that speed are key factors optimizing process. Orthogonal one-factor conducted fused cladding. Experimental validation indicated deviation simulated forces less than 15%, confirming reliability model. optimization (MOGA) constructed based on algorithm, obtaining solution set. (59 m/min speed, 0.4 mm depth, mm/z rate) yielded experimental errors below 10%. provides systematic process framework additive-subtractive hybrid manufacturing anisotropic laser-clad achieving synergistic precision efficiency.

Язык: Английский

Процитировано

0

Additive Manufacturing for a Circular Economy DOI

M. Maniraj,

S. M. Raj Kumar

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 55 - 78

Опубликована: Май 16, 2025

Additive Manufacturing (AM), commonly known as 3D printing, is emerging a transformative technology capable of reshaping industrial production through material efficiency, design freedom, and decentralized fabrication. However, the long-term sustainability AM challenged by significant concerns related to energy consumption, waste, limited recyclability polymers, metals, composites. This chapter evaluates environmental implications within framework circular economy, focusing on recycling strategies, lifecycle management. Real-world examples from aerospace automotive industries, such Airbus's use Ti6Al4V BMW's recycled thermoplastics, illustrate both opportunities constraints implementing sustainable at scale. The explores mechanical chemical methods, biodegradable alternatives, AI-driven process optimizations improve waste reduction performance.

Язык: Английский

Процитировано

0

Research on Energy Management in Forward Extrusion Processes Based on Experiment and Finite Element Method Application DOI Open Access
T. Miłek, Olga Orynycz, Jonas Matijošius

и другие.

Materials, Год журнала: 2025, Номер 18(11), С. 2616 - 2616

Опубликована: Июнь 3, 2025

This paper advances the forward extrusion process by integrating sustainable methodologies and optimizing energy efficiency. research investigates impact of die geometry elongation coefficients on usage efficiency, employing finite element method (FEM) simulations alongside empirical analysis. Artificial neural networks experimental data were utilized to predict energy. The study flat, conical, arc-shaped dies extrude lead profiles exhibiting different coefficients. analyzed dynamics material flow, requirements, maximum forces. Patterns deformation, distribution tension, losses discerned, with models enhancing understanding these phenomena. mathematical framework forecasting peak force in relation parameters was substantiated via residual diagnostics regression findings indicate that conical arc can conserve up 15% comparison flat dies, thereby improving flow reducing deformation comprehensive strategy provides practical solutions reduce consumption improve metal forming processes, industrial efficiency sustainability. results not only benefit industry but also align environmental objectives, increasing sustainability operations.

Язык: Английский

Процитировано

0