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Cracker pr machines are widely used in small and medium-scale food industries. However, limitations in frame design and motor speed control often result in suboptimal machine performance. This study aims to perform a redesign of the upper conveyor frame, analyze the structural strength of the frame, and evaluate the effect of using a Variable Speed Drive (VSD) inverter on improving the production capacity of a cracker printing machine.The research method includes frame redesign, load calculation, and numerical analysis using the Finite Element Method (FEM) with SolidWorks Simulation. The applied loads consist of machine component weights and operational loads. In addition, performance testing was conducted by varying the motor rotational speed controlled by the VSD inverter to determine its effect on production output.The results show that the redesigned frame has a maximum displacement of 0.18 mm, a maximum stress of 8.9 MPa, and a minimum safety factor of 31, indicating that the structure is safe and operates within the elastic region. The implementation of the VSD inverter successfully increased the machine’s production capacity from the initial condition up to 78.5 kg/h. Based on these results, it can be concluded that the frame redesign and the application of a VSD inverter are effective in improving the performance and reliability of the cracker printing machine.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

Plastic waste has become one of the main environmental problems due to its nature, which is difficult to decompose naturally and can cause environmental pollution. One alternative waste treatment method that can be applied is to use a plastic melter to melt and recycle plastic waste into useful products. However, the design of plastic melters often lacks consideration of structural strength and safety aspects during the operation process. This study aims to design and engineer a plastic melter using the Finite Element Analysis (FEA) simulation approach to analyze structural resistance to thermal and mechanical loads that occur during the operation process. The research method was carried out through 3D design modeling of plastic melter components using Solidworks software, followed by analysis with FEA simulation on the main component, namely the melting tube. The parameters analyzed include the distribution of von Mises stress, the amount of displacement, and the safety factor. The analysis results show that the analyzed components experience von Mises stress distribution and displacement that are still below the material tolerance limits, with safety factor values above the recommended safety limits. Thus, the resulting plastic melter design is declared safe and can proceed to the manufacturing process. Therefore, the plastic melter design is safe, strong, and feasible to be realized as an effective and sustainable plastic waste processing technology solution.

The stability of slopes in open-pit coal mining in Indonesia is significantly influenced by geological faults, which are a major factor causing slope failures. This study aims to examine the impact of faults on slope stability by conducting a systematic literature review of 25 scientific publications from 2018 to 2025. The results indicate that faults and fault zones consistently reduce rock mass integrity through several mechanisms, including stress concentration in weak zones, the formation of preferential sliding surfaces, amplification of hydro-mechanical effects from groundwater and rainfall, and the reduction of rock strength parameters. Case studies in Kalimantan and Sumatra confirm these mechanisms with slope failures aligning with fault orientations. Kinematic and numerical analyses using the Limit Equilibrium Method (LEM), Finite Element Method (FEM), and Distinct Element Method (DEM) show a reduction in the safety factor (SF) by up to 36% on slopes affected by faults. Practical recommendations include continuous monitoring using Slope Stability Radar (SSR), optimization of slope geometry with angles < 18° in fault zones, groundwater control, reinforcement with anchors and bolting, and UAV-based discontinuity mapping for hazard zoning. This study concludes that managing slopes in fault zones requires an integrated approach combining detailed geological investigation, multi-method numerical analysis, real-time monitoring, and specific mitigation design.

Management of household waste in Final Disposal Sites (TPA) faces a serious problem, where most of the waste accumulates and is difficult to decompose due to its complex nature. This condition substantially inhibits natural decomposition processes and limits the effectiveness of recycling efforts. Pre-processing operations, such as sorting and crushing, which are still dominated by manual methods, are proven to be inefficient, high-risk, and require large allocations of land resources and manpower. Therefore, automated technological innovation is needed to facilitate the efficient separation of organic components from inorganic materials (packaging). This research was conducted to determine the design and structural strength analysis of a hammer mill type depackaging machine, carried out using Solidworks software. Structural analysis simulation utilizes Finite Element Analysis (FEA) to determine the structural strength of the machine. The specifications of the hammer mill type depackaging machine include a capacity of 3000 kg/hour, a hammer mill input power of 12 KW, and a rotational speed of 2500 rpm with a torque of 34.54 Nm. Meanwhile, the screw conveyor input power is 0.75 KW and the rotational speed is 20 rpm. The FEA simulation analysis results for the hammer mill type depackaging machine showed that the maximum Von Mises stress value recorded is 3,022×10^7   N⁄m^2 , the maximum displacement value measured is very minimal, namely 2,793×10^(-1)  mm, and the Factor of Safety (FOS) obtained is 8.3. This FOS value significantly exceeds the required minimum safety limit (>3), confirming that the machine design has optimal reliability, fatigue resistance, and structural integrity for operation under intensive working conditions at the TPA. The conclusion of this study indicates that the engineering design of this hammer mill type depackaging machine is safe and meets structural technical requirements to proceed to the implementation phase, potentially becoming a sustainable technological solution in improving the efficiency of waste pre-processing.

This study aims to design a blanking die used for mass-producing mobile phone holders while prioritizing efficiency and dimensional accuracy. The die set developed includes key components such as the punch, die, stripper, guide post, and fastening bolts. The product produced has dimensions of 138 × 63 × 2 mm and uses ST 37 steel as the raw material. Based on calculations, the required blanking force is 129,000 kN, which is considered safe for the production process. The design also accounts for an optimal clearance of 0.083 mm and a die thickness of 35 mm to effectively withstand the working load. Simulations using stress analysis methods reveal that the von Mises stress distribution on both the punch and die remains below the elastic limit of SKD11 material. The maximum stress on the punch is recorded at 2.437 × 10⁵ N/m², while on the die it reaches 5.153 × 10⁵ N/m², both well below the yield strength of SKD11, which is 2.918 × 10⁸ N/m², indicating that these components operate safely without the risk of plastic deformation. To strengthen the construction, the stripper is designed with a thickness of 12 mm, and the addition of four SCM435 bolts is recommended to improve system stability. This die design is verified through manual calculations and Finite Element Analysis (FEA) to ensure its reliability. Overall, the findings of this study demonstrate that the designed blanking die can support mass production with high precision, optimal structural strength, and long-term durability.

This study presents a modal analysis of Pertamina EP Cepu’s closed drain pump 510-P9002, which operates in the condensate–water treatment unit of the Jambaran Tiung Biru field. Field vibration measurements conducted in August 2024 indicated a fundamental frequency of 25 Hz, corresponding to 1×RPM of the driving motor, with maximum amplitudes reaching 13.46 mm/s. Such excessive vibration poses risks of mechanical damage, reduced equipment service life, and potential operational failure. To address this issue, finite element analysis (FEA) was employed to examine the dynamic response of the pump, determine its natural frequencies, and identify possible resonance conditions. A CAD model of the pump–vessel assembly was developed, meshed, and analyzed under actual boundary conditions. The results showed several natural frequencies ranging between 23.16 and 26.65 Hz, which are close to the excitation frequency, suggesting a very high likelihood of resonance. Various structural modifications were then evaluated, including a half casing and two types of full casings. Among these, the full casing B design provided additional stiffness in the motor support area; however, none of the modifications effectively reduced vibration within the internal components. Based on these findings, the study recommends the implementation of a dynamic vibration absorber (DVA) tuned to the excitation frequency, along with the redesign of structural components to shift natural frequencies away from operating excitation. These solutions are expected to improve operational stability, extend equipment lifespan, and enhance overall system reliability. The outcomes of this research provide important insights for managing vibration issues in pump systems operating under similar conditions, particularly in the oil and gas industry where continuous, stable operation is critical.

This study analyzes the flexural behavior of reinforced geopolymer concrete beams through numerical simulation based on the Finite Element Method (FEM) using ANSYS software, comparing it with conventional reinforced concrete beams. The background of this research focuses on the need for environmentally friendly construction materials, considering the high CO₂ emissions from Portland cement production. The numerical model was developed based on parameters and loading schemes from previous experimental studies, utilizing SOLID65 elements for concrete, LINK180 for steel reinforcement, and SOLID185 for supports. Simulation results show that the flexural behaviour of geopolymer beams is comparable to conventional beams in terms of load-deflection relationships, flexural capacity, and crack patterns, with deviations from experimental data generally below 10%. The patterns and propagation of cracks also exhibited similarities, starting from the tensile zone at mid-span. Furthermore, the analysis demonstrates consistency with the analytical approach based on SNI 2847:2019. This research supports the validity of using geopolymer concrete as a sustainable structural material alternative and shows that the FEM numerical method is effective in evaluating the flexural performance of concrete structural elements.

Organic waste management is an important issue in addressing environmental problems. One potential solution is bioconversion technology using Black Soldier Fly (BSF) maggots that can break down organic waste and produce larvae with economic value as animal feed. To increase the selling value and extend the shelf life, BSF larvae need to be dried using tools such as rotary dryers. This study aims to design and analyse the strength of a rotary dryer machine frame for maggot drying with a Finite Element Analysis (FEA) approach based on SolidWorks software. Simulations were carried out on several materials: ASTM A36, AISI 1020 Steel, and AISI 1045 Steel. The analysis results show that all materials are within safe limits based on Von Mises stress, deformation, and safety factor. AISI 1045 steel material gives the best performance with Von Mises stress of 14.238 MPa, deformation of 0.59 mm, and safety factor of 7.2. These results show that AISI 1045 steel is the most recommended material for the rotary dryer frame.

This study presents a computational analysis of a corn drying system using SolidWorks simulation tools. The main objective is to understand the thermal and flow behavior within a silo-type corn dryer powered by a wood-fueled horizontal furnace. The simulation covers thermal distribution, air velocity, and flow trajectories using finite element analysis and computational fluid dynamics (CFD). The model includes a vertical silo with embedded piping systems and air inlets driven by blower-induced convection. The heat source, simulated at 500°C from the furnace, is transferred through ducts into the drying chamber. The results indicate that air temperature reaches up to 100°C within the chamber with a velocity of up to 5 m/s. Temperature and velocity distributions show a good potential for uniform drying, although lower regions exhibit heat accumulation. These findings highlight the effectiveness of the system design in enhancing drying efficiency.

Pressure vessels are critical components in the energy industry, used to store and process high-pressure fluids. The structural reliability of these vessels plays a pivotal role in ensuring operational safety and system efficiency. This study aims to analyze the design and reliability of pressure vessels using both numerical and experimental approaches to optimize performance and enhance safety factors. The numerical method was conducted through Finite Element Analysis (FEA) using ANSYS software to evaluate stress distribution, stress concentration, and potential failure modes under various operational load scenarios. Meanwhile, the experimental method involved hydrostatic pressure testing, strain measurements using strain gauges, and displacement analysis to validate the numerical simulation results. Data were collected from simulations and laboratory experiments, then analyzed quantitatively by comparing key parameters such as stress distribution, deformation patterns, and safety factors against industry standards. The results indicate that combining numerical and experimental approaches improves the accuracy of pressure vessel behavior predictions, enables more efficient design optimization, and enhances structural reliability. In conclusion, the methods applied in this study can serve as a reference for developing safer, more efficient pressure vessel designs that comply with industrial standards, thereby supporting improved safety and operational efficiency in the energy sector.

This research explores the use of iterative methods in conjunction with the Finite Difference Method (FDM) for solving partial differential equations (PDE). The central challenge addressed is the computational inefficiency and slow convergence that often arise when utilizing traditional numerical methods, particularly in large-scale systems. The study aims to develop a more efficient iterative approach to solve PDEs by minimizing computational time while ensuring the stability of the obtained solutions. The primary methods proposed include iterative solvers such as Gauss-Seidel and Successive Over-Relaxation (SOR), which are applied to numerical solutions derived from FDM. The research demonstrates that iterative methods, especially SOR, achieve faster convergence with fewer iterations compared to conventional methods like the Finite Element Method (FEM), which tends to be slower and more resource-intensive for large-scale problems. The study highlights the advantages of iterative solvers in efficiently handling large, sparse linear systems and reducing computational costs. In addition, it shows that these methods are capable of providing stable solutions, thereby maintaining accuracy with significantly lower computational effort. The results suggest that iterative methods, when applied in combination with FDM, offer a practical and scalable solution for solving complex PDEs. These methods are especially beneficial in engineering and theoretical physics applications where large-scale simulations are prevalent. The study concludes with recommendations for future research, which should focus on further optimizing solver parameters, exploring hybrid approaches, and extending the methods to more complex PDEs with non-linearities or irregular geometries. By doing so, these techniques could contribute to even more efficient and practical solutions for real-world applications.

This paper presents a numerical solution approach for solving partial differential equations (PDEs) that describe heat transfer in composite materials. Using finite element analysis (FEA), we analyze temperature distribution and thermal gradients within various composite configurations. The results demonstrate that our numerical solution approach accurately predicts temperature behavior, providing insights for materials engineering and design. This method is particularly useful for optimizing thermal properties in engineering applications involving multilayer materials.

The foundation is a substructure which functions to support the loads and forces caused by the superstructure (superstructure) to the soil layer which will carry these loads and forces. Deep foundations are usually used to obtain a large enough soil bearing capacity and if the depth of the hard soil is far below the ground surface. The aim of this task is to analyze the bearing capacity of pile foundations using sondir data, standard penetration test (SPT) data, as well as the finite element method using the plaxis program. The method used in this final assignment is by studying literature, then collecting the necessary data, and after that carrying out calculation analysis using existing methods. From the results of the calculations carried out, different results were obtained. Where for sondir data at point S1 obtained Qu =115.80 tons; at point S2 obtained Qu = 104.80 tons; at point S3 obtained Qu = 105.50 tons. Meanwhile, based on SPT data at point BH-01, Qu = 398.23 tons, and using the plaxis program Qu = 425 tons

This study aims to obtain data on the impact of noise pollution by conducting a noise test from the operation of the PLTD and modeling it to get the noise impact hue. Finite element software modeling the impact of noise generated from the operation of PLTD to determine the hue of the noise impact. LISA, a popular finite element analysis application, was used to estimate and complete this study using the finite element model. Noise data retrieval, some data is carried out according to the engine power load during production and the machine stops with a certain distance reference to the affected area, namely residential areas, with a zone radius of up to 100 m from the machine point. The condition of the impact of noise exposure that occurs, where in general the area that has a major impact on settlements is a linear area of openings at the noise source because noise waste is free to come out of building openings without any obstacles. , so that the nominal sound impact that occurs without these obstacles, the average noise value is above the 70 dB.A threshold with the category of very disturbing.