Publications by authors named "Z Leman"

Today, additive manufacturing (AM) is the most recent technology used to produce detailed and complexly built parts for a variety of applications. The most emphasis has been given to fused deposition modeling (FDM) in the development and manufacturing fields. Natural fibers have received attention in the area of 3D printing to be employed as bio-filters with thermoplastics, which have prompted an effort for more ecologically acceptable methods of manufacturing.

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Fatigue strength is one of the most important properties of composite materials because it directly relates to their lifespan. Acoustic emission (AE) is a passive structural health monitoring (SHM) technique that provides real-time damage detection based on stress waves generated by cracks in the structure. This study evaluates the damage progression on glass fiber reinforced polyester composite specimens using different approaches of machine learning.

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Article Synopsis
  • Fused Deposition Modeling (FDM) can create complex designs using thermoplastic or composite materials, making it essential to analyze how printing parameters affect part quality and performance.
  • The study focused on optimizing FDM parameters for oil palm fiber reinforced thermoplastic composites, including layer thickness, orientation, infill density, and printing speed, to assess their impact on mechanical properties through tests and statistical analysis.
  • The results revealed that the best settings for mechanical strength were a layer thickness of 0.4 mm, a flat orientation at 0 degrees, 50% infill density, and a speed of 10 mm/s, highlighting the link between printing conditions and part performance.
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Direct solid-states, such as hot extrusion and equal channel angular pressing (ECAP), are alternative and efficient solid-state processes for use in recycling aluminium scrap. These processes utilise less energy and are eco-friendly. Ceramic particles such as ZrO are suggested as alternatives in the production of metal composites.

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Fused deposition modelling (FDM) is a filament-based rapid prototyping technology that allows new composite materials to be introduced into the FDM process as long as they can be manufactured in feedstock filament form. The purpose of this research was to analyze the rheological behavior of oil palm fiber-reinforced acrylonitrile butadiene styrene (ABS) composites when used as a feedstock material, as well as to determine the best processing conditions for FDM. The composite's shear thinning behavior was observed, and scanning electron microscopy was used to reveal its composition.

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