Significant advances in fused deposition modeling (FDM), as well its myriad applications, have led to growing prominence among additive manufacturing (AM) technologies. When the technology was first developed, it used for rapid prototyping examine and analyze a product design stage. FDM facilitates production, requires inexpensive tools, can fabricate complex-shaped parts; it, therefore, became popular use widespread. However, various processing parameters proven affect printed part’s...

The additive manufacturing (AM) processes and technologies of 3D-printed materials components using fused deposition modeling (FDM) are currently very popular widely used for building parts prototypes. Many parameters can affect the strength strain manufactured parts. may be altered to reach an optimum setting highly effective or components. This research studies influence raster angle moisture content percentages on mechanical properties 3D printed polylactic acid (PLA) material. three...

Using nano-enhanced phase change material (NePCM) rather than pure PCM significantly affects the melting/solidification duration and stored energy, which are two critical design parameters for latent heat thermal energy storage (LHTES) systems. The present article employs a hybrid procedure based on of experiments (DOE), computational fluid dynamics (CFD), artificial neural networks (ANNs), multi-objective optimization (MOO), multi-criteria decision making (MCDM) to optimize properties...

Multiple machine learning models were developed in this study to optimize biodiesel production from waste cooking oil a heterogenous catalytic reaction mode. Several input parameters considered for the model including temperature, time, catalyst loading, methanol/oil molar ratio, whereas percent of yield was only output. Three ensemble utilized study: Boosted Linear Regression, Multi-layer Perceptron, and Forest Randomized Tree optimization yield. We then found their optimized configurations...

Biodiesels are the renewable diesel fuels prepared from natural sources. As production cost of biodiesels stands for major problem commercialization therefore in this work Machine Learning (ML) approaches were used to simulate and optimize biodiesel process. Modeling with ML is possible without an in-depth understanding biological systems. Here, a novel approach based on K-Nearest Neighbor (KNN) regression, Decision Regression Tree (DT), Multi-layer perceptron (MLP), have been suggested...

There is a growing attention to the bio and renewable energies due fast depletion of fossil fuels as well global warming problem. Here, we developed modeling simulation method by means artificial intelligence (AI) for prediction bioenergy production from vegetable bean oil. AI methods are known complex nonlinear process. Three distinct Adaptive Boosted models including Huber regression, LASSO, Support Vector Regression (SVR) neural network (ANN) were applied in this study predict actual...

This study investigates the impact of carbon dioxide (CO2) on pore structure coal during CO2 injection to understand technical challenges associated with sequestration in depleted seam gas reservoirs. In an integrated approach, Micro-Computed Tomography (micro-CT) scanning, helium porosity and air permeability tests are performed a sample prior after flooding experiments identify both reversible irreversible changes cleat fracture networks. The results indicate that contribute 43% reduction...

In this manuscript, the sequel of agglomeration on vibration fiber metal laminated (FML) cylindrical shell in micro phase using developed couple stress theory (MCST). Hamilton's principle has been carried out for deriving non-classical equations motion size-dependent thin basis Love's first approximation theory. Mori-Tanaka and extended rule mixture are utilized to estimate mechanical attributes carbon nanotubes (CNTs) equivalent fiber, respectively. These four phases...

In order to optimize productin of biodiesel from waste cooking oil utilizing Fe-exchanged montmorillonite 12 K10 (Fe-MMT K10) heterogeneous catalyst was applied in this work. The data batch reaction experiments were collected for optimization considering four inputs and one output. input parameters included temperature, time, loading, ratio methanol oil. model developed predict the output which is production yield (%). For process, three ensemble models utilized as a novel method first time...

In this study, a facile, environmentally friendly, room-temperature synthesis of Ag-coated on microporous TiO2-based catalysts and their application as photocatalyst to degradation penicillin an antibiotic from pharmaceutical wastewater was investigated. The sol-gel method used for the preparation SiO2 SiO2@TiO2. Then, SiO2@TiO2 wrinkled using hydrothermal treatment. Finally, Ag plasmonic material doped via wet chemistry approach. synthesised photocatalysts were characterized different...

Additive manufacturing (AM) is a 3D printing technology that creates complex engineering parts by layer layer. AM disruptive rapidly growing, owing to its effective features: high accuracy, fast production, and low cost. Parts made of polylactic acid (PLA) biodegradable material fused deposition modeling are being increasingly produced in the industry because their strength environment-friendliness. Three-dimensionally printed prone different loading types (static, dynamic, time-dependent...

This research analyzes the mechanical properties and fracture behavior of two cold work tool steels: AISI “D2” “O1”. Tool steels are an economical efficient solution for manufacturers due to their superior properties. Demand is increasing yearly growth in transportation production around world. Nevertheless, “O1” (locally made) behave differently varying content alloying elements. There also a lack information regarding behavior. Therefore, this study aimed investigate plasticity ductile via...

Polyurethane (PU) paint with a hydrophobic surface can be easily fouled. In this study, hydrophilic silica nanoparticles and silane were used to modify the hydrophobicity that affects fouling properties of PU paint. Blending followed by modification only resulted in slight change morphology water contact angle. However, test using kaolinite slurry containing dye showed discouraging results when perfluorooctyltriethoxy was coating blended silica. The fouled area increased 98.80%, compared...

We developed a computational-based model for simulating adsorption capacity of novel layered double hydroxide (LDH) and metal organic framework (MOF) nanocomposite in separation ions including Pb(II) Cd(II) from aqueous solutions. The simulated adsorbent was composite UiO-66-(Zr)-(COOH)2 MOF grown onto the surface functionalized Ni50-Co50-LDH sheets. This showed high area capacity, chosen to develop study removal using this adsorbent. A number measured data collected used simulations via...

Solubility data for ANA (Anastrozole) drug in supercritical solvent was investigated this study, and models were developed to estimate the solubility values. The main aim provide a predictive methodology determination of wide range operational parameters advanced green pharmaceutical manufacture. properties used are temperature pressure which considered as models' inputs. Modeling has been done using three based on support vector regression. These include regression (with polynomial kernel),...