Results 141 to 150 of about 734,541 (195)

Behavior of Injection‐Molded Nylon 6 Composites With Virgin and Field‐Exposed Waste‐Recycled Blends

Polymer Composites, EarlyView.
Recycling field‐exposed Nylon 6 composites for sustainable secondary applications. ABSTRACT Every year, more than 18,600 metric tonnes of glass fiber‐reinforced Nylon 6 composite waste from sucker rod guides used in downhole oil and gas applications are landfilled due to uncertainty about retained performance after prolonged service exposure.
Chundu Gyem Tamang, Allan Manalo, Paulomi (Polly) Burey, Wahid Ferdous, Tristan Shelley, Mayur Patel, Tony Chapman   +6 more
wiley   +1 more source

Experimental Study on the Axial Compressive Behavior of an Aluminum Alloy Foam Concrete Composite Column. [PDF]

Sensors (Basel)
Yang B, Zhang A, Su R, He J, Zhang X, Wu Z.   +5 more
europepmc   +1 more source

Additive Manufacturing of Glass Fiber‐Reinforced Polypropylene and Its Behavior Under Controlled Hydrogen Exposure

Polymer Composites, EarlyView.
Experimental and numerical assessment of GFRPP under lower experimental hydrogen pressures using tensile testing, SEM analysis, and hydrogen uptake estimation. ABSTRACT Glass fiber‐reinforced polypropylene (GFRPP) composites are increasingly explored for hydrogen transport and storage due to their lightweight nature and corrosion resistance.
Ahmadyar Qureshi, Ulises Martin, Abdul Mannan, Homero Castaneda   +3 more
wiley   +1 more source

A Review of Research Progress on Automotive Magnesium Alloy Wheels. [PDF]

Materials (Basel)
Li M, Zhou X, Zhang X, An L, He W, Cui Z, Ma Q, Jiang B.   +7 more
europepmc   +1 more source

Structural Performance of Hybrid Fiber–Metal Laminates Reinforced With Natural and Synthetic Fibers: Tensile, Dynamic–Mechanical, and Residual Stress Behavior

Polymer Composites, EarlyView.
Hybrid fiber‐metal laminates combining aluminum with carbon, glass, and sisal/epoxy layers. Sisal fibers maintained strength, improved strain and thermal stability, and reduced residual stresses with less synthetic fiber. ABSTRACT This work studied how hybridization between natural and synthetic fibers influences the structural tensile performance ...
Vilson Dalla Libera Junior, Alysson Martins Almeida Silva, Linconl Araujo Teixeira, Marielle da Silva Macedo, Sandra Maria da Luz   +4 more
wiley   +1 more source

Machine Learning-Enabled Real-Time Prediction of Drying Shrinkage in Fly Ash-Modified Cementitious Materials. [PDF]

ACS Omega
Kupwiwat CT, Prasittisopin L.
europepmc   +1 more source

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source

Suppression Mechanism of Early-Age Autogenous Shrinkage Cracking in Low Water-to-Binder Ratio Cement-Based Materials Incorporating Ground Granulated Blast-Furnace Slag and Silica Fume. [PDF]

Materials (Basel)
Li S, You G, Yu G, Jiang C, Xia X, Yu D.
europepmc   +1 more source

Fiber‐Reinforced Bio‐Epoxy Composites: Degradation Mechanisms in Saline Environment

Polymer Composites, EarlyView.
Constituent level degradation of bio‐epoxy composites after saline aging. ABSTRACT This study examines the degradation behavior of bio‐epoxy composites reinforced with glass, basalt, carbon, and flax fiber yarns in a simulated saline environment. Fiber yarns and composite samples were exposed to 3.5% NaCl solution at 60°C for up to 3000 h.
Abdullah Iftikhar, Allan Manalo, Wahid Ferdous, Mazhar Peerzada, Hannah Seligmann, Kate Nguyen, Brahim Benmokrane   +6 more
wiley   +1 more source

Research on Early-Age Shrinkage and Prediction Model of Ultra-High-Performance Concrete Based on the BO-XGBoost Algorithm. [PDF]

Materials (Basel)
Luo F, Wang J, Zhu C, Yang J.
europepmc   +1 more source