Enhancing the tribological performance of polymeric laminated composite materials by adopting the functionally graded materials technique DOI Creative Commons

Mostafa A. A. Nowier,

Amr A. Abd‐Elhady, Hossam El‐Din M. Sallam

и другие.

Archives of Civil and Mechanical Engineering, Год журнала: 2025, Номер 25(4)

Опубликована: Май 20, 2025

Abstract The concept of functionally graded materials was adopted to experimentally enhance the wear resistance and hardness traditional laminated composite made long glass fibers epoxy resin in this work. structure consisted twelve layers. redistribution through width specimens produces three distinct patterns: linear, non-linear, stepwise. A Shore-D tester used get each pattern, while their friction coefficients were measured a Pin-On-Disc according ASTM standards for applied load varied from 10 40 N sliding speed ranged 0.2 0.8 m/s. study also considered effects fiber orientation relative direction, i.e., parallel, anti-parallel, normal. worn surfaces inspected using an optical microscopy microscope, X-ray diffraction analysis, scanning electron microscope. results indicated that rate, coefficient, temperature are influenced by several factors, including speed, load, distance, orientation. demonstrated superior performance normal compared parallel anti-parallel ones. linear patterns improved rate coefficient conventional composites with average 15% 3%, respectively, all manners forces velocities. Meanwhile, stepwise enhanced both them up 25% 8% orientations same cases.

Язык: Английский

Boosting-Based Machine Learning Applications in Polymer Science: A Review DOI Open Access
Ivan Malashin, В С Тынченко, Andrei Gantimurov

и другие.

Polymers, Год журнала: 2025, Номер 17(4), С. 499 - 499

Опубликована: Фев. 14, 2025

The increasing complexity of polymer systems in both experimental and computational studies has led to an expanding interest machine learning (ML) methods aid data analysis, material design, predictive modeling. Among the various ML approaches, boosting methods, including AdaBoost, Gradient Boosting, XGBoost, CatBoost LightGBM, have emerged as powerful tools for tackling high-dimensional complex problems science. This paper provides overview applications science, highlighting their contributions areas such structure-property relationships, synthesis, performance prediction, characterization. By examining recent case on techniques this review aims highlight potential advancing characterization, optimization materials.

Язык: Английский

Процитировано

2
Analysis of machining performance in turning with trihybrid nanofluids and minimum quantity lubrication DOI Creative Commons
Javvadi Eswara Manikanta, Masuk Abdullah, Nitin Ambhore

и другие.

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

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

2
Tribological behavior of PLA reinforced with boron nitride nanoparticles using Taguchi and Machine learning approaches DOI Creative Commons

Sundarasetty Harishbabu,

Santosh Kumar Sahu

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104772 - 104772

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Enhancing the tribological performance of polymeric laminated composite materials by adopting the functionally graded materials technique DOI Creative Commons

Mostafa A. A. Nowier,

Amr A. Abd‐Elhady, Hossam El‐Din M. Sallam

и другие.

Archives of Civil and Mechanical Engineering, Год журнала: 2025, Номер 25(4)

Опубликована: Май 20, 2025

Abstract The concept of functionally graded materials was adopted to experimentally enhance the wear resistance and hardness traditional laminated composite made long glass fibers epoxy resin in this work. structure consisted twelve layers. redistribution through width specimens produces three distinct patterns: linear, non-linear, stepwise. A Shore-D tester used get each pattern, while their friction coefficients were measured a Pin-On-Disc according ASTM standards for applied load varied from 10 40 N sliding speed ranged 0.2 0.8 m/s. study also considered effects fiber orientation relative direction, i.e., parallel, anti-parallel, normal. worn surfaces inspected using an optical microscopy microscope, X-ray diffraction analysis, scanning electron microscope. results indicated that rate, coefficient, temperature are influenced by several factors, including speed, load, distance, orientation. demonstrated superior performance normal compared parallel anti-parallel ones. linear patterns improved rate coefficient conventional composites with average 15% 3%, respectively, all manners forces velocities. Meanwhile, stepwise enhanced both them up 25% 8% orientations same cases.

Язык: Английский

Процитировано

0