The rotor is one of the vital components of a wind turbine. In the design of the rotor, the expected result is the most optimal power. This purpose study is to optimization of the Horizontal Axis Wind Turbine power of various parameters such as airfoil, angle of attack, and pitch angle. Airfoils (NACA 4412-2412 T.E. mod, NACA 2412-4412 T.E. mod, NACA 4412-2412 L.E. mod, NACA 2412-4412 L.E. mod), angle of attack (0, 2, 4, 6), and pitch angle (0, 1, 2, 3) are the parameter variations used. The simulation method uses BEM (Blade Element Momentum), and the Taguchi for optimization is based on the L16 orthogonal array matrix. The ANOVA has to determine the contribution of each parameter to the HAWT power generated. Simulation and optimization results show that the most optimal parameter was a NACA airfoil 4412-2412 L.E mod, at 0˚ angle of attack and 0˚ pitch angle, with the resulting power reaching 1015780 Watt. The ANOVA analysis shows the airfoil parameter has the greatest contribution to the rotor power of the HAWT compared to the angle of attack and pitch angle.

This paper presents rotor power optimization of the Horizontal Axis Wind Turbine of various parameters such as airfoil, angle of attack, and wind speed. Simulation of HAWT rotor power uses Blade Element Momentum (BEM). Furthermore, optimization using the Taguchi method with L16(43) orthogonal array. The parameters used in this study were: airfoil NACA (National Advisory Committee for Aeronautics) 4412, NACA 2412, NACA 4412-NACA 2412, NACA 4412mod-NACA 2412mod; angle of attack 3˚, 4˚, 5˚, 6˚; and wind speed of 5, 6, 7, 8 (m/s). The simulation uses the general parameter at 1 MW HAWT. Several types of NACA airfoil, angle of attack, and wind speed were simulated, then optimized to obtain optimal parameters for the HAWT output power. The results of this study found the most optimal rotor power, namely the condition of the NACA 4412mod-NACA 2412mod airfoil, 3˚ angle of attack, and 8m/s wind speed. Wind speed is the most significant influence factor based on ANOVA analysis ranked 1st based on S/N ratio analysis, 2nd rank is an airfoil, and 3rd rank is the angle of attack. The higher the wind speed, the greater the rotor power generated.

Tooth loss is prevalent in the posterior region, and dental implants require optimized fixture design to ensure biomechanical stability, which is often the approach using finite element analysis (FEA). This systematic review, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines in its writing, aimed to assess the influence of fixture design on posterior implant biomechanical stability, such as stress and strain, by FEA analysis. The study search used PubMed, ScienceDirect, MDPI, SpringerLink, and OpenAire databases to find studies that analyzed fixture level, body shape, thread characteristics, diameter, length, and neck model, covering studies published between 2020 and 12 January 2025. Data from 39 of the 3,562 studies were synthesized narratively, guided by SWiM, and grouped by design parameters, with bias assessed using ROBFEAD. Tissue-level fixtures outperformed bone-level fixtures in reducing cortical bone stress and improving fatigue resistance, while the tapered body shape increased stress distribution in low-density bone (D4). Square threads minimize micro stress and movement, and larger diameters and lengths increase stability, although excessive dimensions increase cortical stress. The micro-thread neck design reduces bone resorption. The high risk of bias resulting from the lack of mechanical validation, isotropic assumptions, and static loading conditions requires attention when interpreting research findings. Clinical or experimental validation is required. Future studies should standardize thread reporting, use computed tomography (CT)-based modeling, and simulate dynamic loading for patient-specific designs.

Alternative fuels, like a mix of pyrolyzed plastic waste and gasoline, have made us less dependent on nonrenewable petroleum. Since HDPE has a low density, it is perfect for producing more oil at temperatures as low as 400oCelsius. It has a density of around 0.94 g/cm3, whereas gasoline is between 0.60 g/cm3 and 0.78 g/cm3. This study compared a blend of C10 and C20 gasoline at engine speeds of 1500, 2000, and 2500 rpm to C0 gasoline. Results indicated that as speed increased, exhaust gas emissions such as HC and CO levels in pure gasoline (C0) dropped, whereas levels in the combination increased. This demonstrates that a mixture of gasoline and HDPE damages the environment.

Bohler M303 Extra is a material commonly used in plastic injection molds. Improving the surface quality of molded products through the CNC process can reduce production costs by eliminating the polishing and finishing process. Reduction of production costs can also be achieved by decreasing machining time. This paper deals with surface quality optimization and machining time optimization from a variety of toolpath strategies, feed rates, and depth of cut. The machine parameters experiments were based on the L9 orthogonal array of taguchi method. The NC program was generated from the MasterCAM® software and experiments using a Sinumeric 802S/C CNC milling machine. The tool used was Carbide End Mill with TiAlN Coat 12 mm in diameter, with a total of 4 Flutes. The ANOVA results show that the parameters of the toolapth strategy, feed rate, and depth of cut do not have a significant effect on surface quality, but the feed rate parameters have a significant effect on the value of machining time. The result of the S/N ratio calculation places the toolpath strategies parameter as the 1st rank which affects the surface quality while the feed rate parameter is the 1st rank which affects the machining time. The calculation of the s/n ratio also shows that the lower the feed rate value is, the better the surface quality, but the greater the machining time value. Machine parameter setting that gets the optimum surface quality is not the one that produces the lowest or highest machining time values.

Paper pulper machines a capacity of 83 litres/process must have a low-cost material, robust and safe to operate. Paper pulper machine components analysed are tubes, frames, helical screw shaft and the shaft holder. The method uses a static structural analysis to obtain von mises stress and displacement. Static structural analysis uses finite element analysis with the help of CATIA® Software. The safe component size and lowest cost (safety factor more than 2.5) were selected in this study. Calculation of costs by multiplying the size of the material needs by material prices. Tube components use SUS 304 with thickness variations of 0.5, 0.6, 0.8, 1, 1.5, and 2mm. Frame and shaft holder using L shape ASTM A36 size 40x40mm and 50 x50 mm with thickness variations of 3, 4, and 5 mm respectively. Variations in material size are determined based on standard material sizes available on the market. The simulation result of each component shows the thicker the material, the lower the von mises stress, the lower the displacement and the higher safety factor. Tubes with a thickness of 0.5mm have a von mises stress of 4.43 MPa, a displacement of 4.7 x 10⁴ mm with SF 56.4 is safe and were chosen because of the lowest material costs (IDR 360,009). The frame size was chosen 40x40x3 mm based on the SF frame value (26) with the lowest material cost (IDR 197,800). The shaft holder is also chosen for the size of 40x40x3mm where the SF value (3834) and the lowest material cost (IDR 14,400). Helical screw shaft size is chosen at 0.5mm thickness where SF is 304 and material costs IDR 100,968. The overall results of the static structural analysis on various sizes of the paper pulper machine components showed o_von under Oyield, small displacement, and SF is safe.