Two-Staged Technology for CoCr Stent Production by SLM DOI Open Access
Polina Kilina,

А. В. Дроздов,

Alex G. Kuchumov

и другие.

Materials, Год журнала: 2024, Номер 17(21), С. 5167 - 5167

Опубликована: Окт. 23, 2024

Additive manufacturing of porous materials with a specific macrostructure and tunable mechanical properties is state-of-the-art area material science. technologies are widely used in industry due to numerous advantages, including automation, reproducibility, freedom design. Selective laser melting (SLM) one the advanced techniques among 3D fabrication methods. It produce various medical implants devices stents. should be noticed that there lack information on its application stent production. The paper presents technological aspects CoCr SLM fabrication, design stents development regimes for their manufacturing. Physical, chemical, powder were initially determined. Parametric mesh models was adopted. A two-stage approach developed ensure dimensional accuracy quality first stage involves single-track fusion process. second includes according determined regimes. process simulated assign synthesis parameters fabrication. Melting bath temperature providing such conditions Twenty-seven realized. Dependence single-tracks width height power, exposition time, point distance revealed. qualitative characteristics tracks imitating geometry struts as well favorable unfavorable results surface roughness regulating stents’ structural elements by methods analyzed. Thus, this two-staged can considered fundamental

Язык: Английский

PROCESS DEVELOPMENT IN MECHANICAL ENGINEERING: INNOVATIONS, CHALLENGES, AND OPPORTUNITIES DOI Creative Commons

Adeniyi Kehinde Adeleke,

Danny Jose Portillo Montero,

Kehinde Andrew Olu-lawal

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 901 - 912

Опубликована: Март 24, 2024

Process development in mechanical engineering encompasses a broad spectrum of innovations, challenges, and opportunities that drive advancements various industries. This review delves into the multifaceted landscape process within engineering, highlighting key themes trends. Innovations are propelled by continuous quest for efficiency, sustainability, enhanced performance. Advances additive manufacturing, automation, digitalization have revolutionized traditional manufacturing processes, enabling creation complex geometries with unprecedented precision speed. Additive techniques such as 3D printing offer versatility material selection design freedom, facilitating rapid prototyping customization while minimizing wastage. Automation technologies, including robotics AI-driven systems, optimize production workflows, augmenting productivity reducing human error. Moreover, digital twins simulation tools empower engineers to simulate processes virtually, accelerating product cycles costly experimentation. However, alongside these face myriad challenges. The integration new technologies often requires substantial investment infrastructure workforce training. Quality control assurance remain critical concerns, particularly where ensuring part integrity repeatability is paramount. Furthermore, sustainability implications emerging must be carefully evaluated mitigate environmental impact resource depletion. Despite presents abundant growth advancement. rise Industry 4.0 initiatives fosters collaboration between academia, industry, government, driving research efforts towards sustainable interconnected ecosystems. advent advanced materials, composites biomaterials, unlocks possibilities lightweight structures, performance, tailored functionalities. Additionally, pursuit circular economy principles promotes efficiency waste reduction throughout lifecycle. In conclusion, characterized dynamic interplay innovation, opportunities. By embracing addressing leveraging collaborative partnerships, can transformative change across industries, paving way more efficient, sustainable, future. Keywords: Process, Development, Mechanical, Engineering, Innovation, Review.

Язык: Английский

Процитировано

9
A review on the correlation between microstructure, heat treatment and mechanical properties of additively manufactured AlSi10Mg by LPBF DOI
Anil Kumar Ramavajjala, Tushar R. Dandekar, Rajesh K. Khatirkar

и другие.

Critical reviews in solid state and materials sciences/CRC critical reviews in solid state and materials sciences, Год журнала: 2024, Номер unknown, С. 1 - 36

Опубликована: Ноя. 3, 2024

Out of three additive manufacturing (AM) process categories for metallic materials viz., direct energy deposition (DED), powder bed fusion (PBF), and sheet lamination, PBF offers advantages in fabrication complex geometries, reducing material waste, creation customized components with unparalleled design freedom. Focus this article will be on laser-PBF (LPBF), which can produce parts high resolution, good surface finish, has larger range options compared to other AM processes. Eutectic near-eutectic Al-Si alloys are the most suitable due their narrow solidification range, lower thermal expansion, melt pool flowability results low shrinkage susceptibility hot cracking. AlSi10Mg is widely used as-built LPBF exhibits cellular microstructure eutectic at cell boundaries. Mechanical properties like tensile strength, ductility, fatigue depend its processing conditions laser power, layer thickness, hatch spacing, post-processing heat treatment cycle, shot peening, treatments. Both conditions, affects microstructure, turn correlated mechanical properties. Unique rapid explains improved as-cast counterpart. But proper post required remove residual stresses developed during processing. Heat cycles conventionally produced aluminum through casting attaining final tempers T6, T7, T4, etc., as per ASTM B917 destroys unique microstructural characteristics associated there a need developing tailored parts. The present work attempts develop comprehensive understanding effect treatments LPBF.

Язык: Английский

Процитировано

4
Optimizing eco-friendly jewelry design through an integrated eco-innovation approach using artificial neural networks DOI Creative Commons

Anqi Jiang,

Huan Meng, Dong-Oun Choi

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 22, 2025

Achieving sustainable practices in the jewelry industry necessitates adoption of optimized eco-design approaches. The optimization eco-friendly design was investigated this study through an integrated analysis materials, digital manufacturing, and predictive modeling. Sustainable techniques were identified, artificial neural network (ANN) model developed to predict environmental impacts based on material properties attributes. applicability validated, insights generated drive eco-innovation facilitate transition towards industry. Key findings demonstrated superior sustainability renewable biomaterials, specifically Biomaterials 2-5 derived from lingo-cellulosic sources, compared conventional materials. Consistently, simpler configurations outperformed intricate designs. relationships effectively captured by ANN model, providing a reliable evidence-based approach. Quantitative linkages between attributes metrics established study, offering valuable guidance for strategies. Significant results demonstrate that exhibit average carbon footprints 1.1–1.2 kg water usage 9–16.5 L, 2.1 24.5 L precious metals. Simplified designs 0.8 11.5 whereas show 3.1 33 L. These predictions establish biomaterials streamlined as preferable paradigms jewelry. Based findings, recommendations include prioritizing use implementation incentives. Transitioning operations biomaterial-focused infrastructure emerging technologies is suggested further enhance sustainability. Additionally, international cooperation development standards are proposed address challenges holistically. empirical computational methodologies can inspire transformative

Язык: Английский

Процитировано

0
Effects of Scanning Strategies, Part Orientation, and Hatching Distance on the Porosity and Hardness of AlSi10Mg Parts Produced by Laser Powder Bed Fusion DOI Creative Commons
Naol Dessalegn Dejene, Wakshum Mekonnen Tucho, Hirpa G. Lemu

и другие.

Journal of Manufacturing and Materials Processing, Год журнала: 2025, Номер 9(3), С. 78 - 78

Опубликована: Фев. 27, 2025

Laser powder bed fusion (L-PBF) shows potential in metal additive manufacturing for producing complex components. However, achieving ideal hardness and minimizing porosity poses a significant challenge. This study explores the impact of part orientation, scanning methods, hatching distance on AlSi10Mg alloy produced through L-PBF. Utilizing Box–Behnken design experiments (DOE), cubic samples were systematically produced. Hardness was quantitatively assessed using Vickers tests, while measurements involved 2D image analysis polished electron microscopy (SEM) samples, percentages analyzed ImageJ software. The results demonstrate that both strategy significantly influence porosity. spiral pattern notably enhances reduces In contrast, bidirectional lower more pronounced formations. An inverse correlation between grain size distribution observed, with finer sizes leading to higher values, indicating refinement improves mechanical properties. Additionally, negative relationship established, emphasizing importance enhance material hardness. These findings contribute overall understanding L-PBF process, providing valuable insights optimizing properties ensuring integrity high-performance parts.

Язык: Английский

Процитировано

0
Effects of process parameters on the surface characteristics of laser powder bed fusion printed parts: machine learning predictions with random forest and support vector regression DOI Creative Commons
Naol Dessalegn Dejene, Hirpa G. Lemu, Endalkachew Mosisa Gutema

и другие.

The International Journal of Advanced Manufacturing Technology, Год журнала: 2024, Номер 133(11-12), С. 5611 - 5625

Опубликована: Июль 5, 2024

Abstract Laser powder bed fusion (L-PBF) fuses metallic using a high-energy laser beam, forming parts layer by layer. This technique offers flexibility and design freedom in metal additive manufacturing (MAM). However, achieving the desired surface quality remains challenging impacts functionality reliability. L-PBF process parameters significantly influence roughness. Identifying most critical factors among numerous is essential for improving quality. study examines effects of key on roughness AlSi10Mg, widely used aluminum alloy high-tech industries, fabricated L-PBF. Part orientation, power, scanning speed, thickness were identified as crucial via cause-and-effect analysis. To systematically examine their effects, Taguchi method was employed within framework experiment (DoE). Experimental results statistical analysis revealed that parameters: arithmetic mean (Ra) root square (Rq). Main effect plots energy density analyses confirmed impact Microscopic investigations flaws such spattering, balling, porosity contributing to poor Given complex interplay between quality, accurately predicting challenging. address this, machine learning models, specifically random forest regression (RFR) support vector (SVR), predict The RFR model’s R 2 values Ra Rq are 97% 85%, while SVR predictions 85% 66%, respectively. Evaluation metrics demonstrated model outperformed

Язык: Английский

Процитировано

2
Effects of different coolant media on the cooling efficiency of aluminum-filled epoxy resin rapid tools with different surface roughness of cooling channel DOI
Chil-Chyuan Kuo,

Geng-Feng Lin,

Ayyaswami Mahendran Karthick

и другие.

The International Journal of Advanced Manufacturing Technology, Год журнала: 2024, Номер unknown

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

2
Review of semiconductor laser diode technologies for sustainable energy in leather machining DOI
S. Vasanth, Mohamed Fayas Saffiudeen, Sanjeev K. Gupta

и другие.

Clean Technologies and Environmental Policy, Год журнала: 2024, Номер unknown

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

1
Orthogonal experimental method to investigate the effect of process parameters on the mechanical properties of thin-walled parts by PBF-LB/M DOI Creative Commons
Gaoshen Cai, Hui Liu, Kai Peng

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 26, 2024

Lightweight thin-walled parts are widely used in the aviation and aerospace industries, with further increase complexity of their features, traditional manufacturing process can no longer fully meet high requirements industrial component manufacturing. In this work, processed by Laser based powder bed fusion metals (PBF-LB/M), effects parameters on residual stress, hardness, mechanical properties microstructure systematically investigated. The simulation results show that maximum equivalent stresses distributed combination solid substrate, minimum mainly top two ends middle part solid, stress distribution is symmetrical. addition, increases laser power, decreases scanning spacing or speed. experimental energy density, tensile strength yield a tendency increasing first then decreasing. Finally, high-quality were successfully fabricated optimized parameters, strengths increased 6.1% 15.9%, respectively.

Язык: Английский

Процитировано

1
A study on the Ability to Fabricate Mold Using 3D Printing Technology and Evaluate the Surface Roughness of Products in Investment Casting DOI Creative Commons

Tan Thanh Nguyen,

Tron Van Tran,

Son Hai Dao

и другие.

Journal of Machine Engineering, Год журнала: 2024, Номер unknown

Опубликована: Авг. 30, 2024

1. DEJENE N.D., LEMU H.G., GUTEMA E.M., 2023, Critical Review of Comparative Study Selective Laser Melting and Investment Casting for Thin-Walled Parts, Materials, 16/23, Multidisciplinary Digital Publishing Institute (MDPI), Dec. 01, https://doi.org/10.3390/ma1623.... CrossRef Google Scholar

Язык: Английский

Процитировано

1
Study on the Optimization of Investment Casting Process of Exhaust Elbow for High-Power Engine DOI Creative Commons
Shiyu Xie,

Zhaozhao Lv,

Dong Sheng-quan

и другие.

Metals, Год журнала: 2024, Номер 14(4), С. 481 - 481

Опубликована: Апрель 20, 2024

The high-power engine exhaust elbow has a complex construction, which makes it susceptible to casting flaws that could negatively impact its functionality. Therefore, the investment scheme was established and optimized in this study order cast structurally complete elbows for high-horsepower engines. ProCAST software used simulate optimize solidification processes. optimal process parameters were determined as follows: pouring temperature of 1650 °C, speed 1.5 kg/s, shell preheating 1050 °C. optimization primary process, along with results dimensional accuracy analysis, shape positional deviation, defect detection, validated through testing. indicated castings had no defects complied design specifications.

Язык: Английский

Процитировано

0