Conference Agenda

Flow behavior in oil wells is a complex phenomenon defined by the interaction between the wellbore and the reservoir, as well as the technical and environmental risks associated with hydrocarbon extraction. In a global context that demands responsible production and consumption, the implementation of technological solutions to understand fluid behavior and reduce inefficiencies is increasingly necessary. Accordingly, this work presents a performance analysis of a vertical well using Computational Fluid Dynamics (CFD) under single-phase, steady-state, and natural flow conditions. Based on the literature, a geometric model of the well was developed governed by the Navier-Stokes equations, using Darcy's law for validation. A sensitivity analysis was conducted to evaluate the influence of flow rate, reservoir permeability, well diameter, and crude oil type on the wellbore-reservoir interaction. The results were compared with well performance curves and other indicators, showing a deviation of less than 1% between the theoretical pressure drop and the simulation data across all cases. These findings demonstrate that the implemented model is capable of accurately simulating and predicting the behavior of the selected well system.

The oil industry faces significant challenges in ensuring efficient oil–sand separation, a critical process to preserve crude quality, reduce operating costs, and comply with environmental regulations. Under increasing global crude demand and intensified scrutiny on sustainability, optimizing separation operations has become a strategic priority. Improved separation efficiency reduces waste, enhances resource recovery, and supports the Sustainable Development Goals, particularly SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production).
This study assesses the performance of a hydrocyclone for oil–sand separation through computational fluid dynamics (CFD) simulations in ANSYS Fluent. The Rietema correlation is incorporated as the basis for the analysis, focusing on key parameters that govern separation performance, including the viscosity and density of the bitumen–sand mixture and the sand particle size distribution. These factors alter the internal hydrodynamics of the device (flow patterns, pressure field, and particle behavior), directly impacting separation efficiency. The main objective was to model and optimize the internal flow structure to maximize oil recovery while minimizing residual sand at the outlet.
The numerical results indicate that implementing the Rietema correlation contributes to improved separation efficiency, increasing oil recovery, reducing sand carryover, and enhancing the operational reliability of the process.

Anterior cruciate ligament (ACL) injuries are among the most frequent problems in sports, compromising knee stability and causing prolonged periods of inactivity. This type of injury is highly prevalent in high-impact sports, affecting both professional athletes and young trainees. Postoperative rehabilitation of these injuries requires structured processes that combine safety, repeatability, and progressive rehabilitation, elements that can be enhanced through the incorporation of automated assistance systems.

In this context, this research proposes the design and simulation of an automated pneumatic device for postoperative knee rehabilitation, using pneumatic artificial muscles (PAMs) as the main actuators. These components are suitable for their ability to generate smooth and elastic movements, emulating the physiological behavior of human muscles and promoting the system's ergonomics.

The isolated hydropower plant of Limbani, located in Puno, operates in a non-interconnected system with low inertia and high sensitivity to load disturbances and variability in renewable generation. This work evaluates, through simulation, the hydro–photovoltaic hybridization of the system and proposes a frequency regulation strategy based on a PID controller tuned offline using the Grey Wolf Optimizer (GWO), comparing its performance with the classical Ziegler–Nichols tuning. The dynamic model incorporates the turbine–penstock interaction, including water-hammer effects, and uses an aggregated inertia representative of high renewable penetration; photovoltaic power is modeled as injected power with a first-order dynamic delay. The tuning is formulated as an optimization problem that minimizes the ITAE index and introduces penalties for frequency band violations, implemented under a simulation framework with the controller embedded in the model loop. Validation considers a 20% load increase, loss of photovoltaic generation, and continuous 24-hour operation with a demand peak between 18:00 and 21:00. Compared with Ziegler–Nichols, the GWO-tuned PID reduces ITAE by 47.5%, control effort by 34.3%, and settling time by 62%, improves the frequency nadir from 58.80 to 59.35 Hz, and reduces maximum overshoot, maintaining 60 ± 0.05 Hz during daily operation.

Abstract– This paper presents the design and mechanical analysis of a #8 food-grade meat grinder intended for small-scale processing applications. The system was developed to reduce clogging, overheating, and low efficiency commonly found in domestic grinders. The proposed design integrates a 1.5 HP electric motor coupled to a worm gear reducer (36:1 ratio) to achieve an output speed of approximately 92–100 rpm and a nominal processing capacity of 1.5 kg/min.

Mechanical calculations were performed to estimate axial cutting force, required torque, and power consumption. Shaft sizing was validated using torsion and Von Mises combined stress criteria with a safety factor greater than 2. Stainless steel AISI 304 and 420/440C materials were selected to ensure corrosion resistance, hygiene, and wear durability. Finite element analysis (FEM) was conducted to verify stress distribution in critical components.

Experimental operation demonstrated stable grinding, adequate torque transmission, and safe performance within allowable stress limits. Results confirm that the proposed design offers an efficient, hygienic, and low-cost alternative suitable for small food-processing environments and educational or local production settings.

This paper develops the design of a monitored load Automatic Transfer Switch (ATS) to ensure electrical continuity in the HBT, achieving the overall objective in an innovative way and applying SDG 9. The load study determined a projected demand of 1,412.57 kW, which allowed for the appropriate selection of a 1600 kVA transformer and the configuration of two generator sets: the existing 420 kW set and a second 1380 kW set. This combination ensured total coverage of the demand with a reliability margin of over 20%. Critical loads were classified, fulfilling one of our research objectives. Critical areas were prioritized because they required immediate autonomy, for which an 80 kVA UPS system was implemented. The selection and sizing of the TTA, UPS, transformers, generators, and control devices was completed based on electrical calculations. A 10-second switching logic was defined, complying with NFPA 110 regulations and ensuring safe and reliable operation. Finally, operational validation demonstrated that the designed solution increases the reliability of the hospital's power supply by 12%, fulfilling the fourth specific objective

Real estate growth has transformed cities with high-rise buildings that require robust fire sprinkler systems (FRS). These systems must maintain adequate pressure and flow to ensure fire protection (FP). Global and local fires have evidenced the importance of SRCIs, highlighting their crucial role in fire protection. The study analyzes the hydraulic performance of SRCIs through a simulation using SprinkCALC software comparing two pipe configurations (grill and tree type) in two types of materials (Schedule 40 and CPVC), evaluating pressure, pressure and flow losses. The study was based on a 140 m office building with 44 floors, the SRCI was designed ensuring compliance with NFPA 13 and the two types of piping configurations were modeled in SprinkCALC software, alternating the type of material for each case. The simulations showed that CPVC significantly reduces the pressure loss versus Schedule 40 in grid type systems. In grillage, CPVC operates at 18.68 bar and 980.76 l/min, while Schedule 40 requires 20.11 bar. In tree-type systems, CPVC delivered 987.08 l/min versus 1001.33 l/min for Schedule 40. The design allowed to accurately simulate the piping networks of the tree-type and grill-type systems, complying with NFPA 13. The simulations showed that CPVC had lower hydraulic demand compared to Schedule 40, highlighting how material properties influence hydraulic performance depending on the network configuration.