Conference Agenda

In this article we present an equation for the calculation of the length of threading between a bolt and a tapped part. We approach the problem where both parts have different mechanical resistances. The equation allows us to calculate the length of the thread necessary to prevent any of the three types of failure that could appear: stripping of the part thread, stripping of the thread of the bolt or rupture of the bolt.

This allows us to have more different combinations of assembly materials from the point of view of its resistance and the prevention of static failure given that there was no method to approach these cases. The equation can be applied to threaded aluminum assemblies since this is one of the materials used in the development process.

The process of development consists of an axisymmetric finite element model and a criterion of rupture by damage due to located plastic deformation. This model allows us to analyze the parameters involved in the design up to conditions of failure. These parameters include characteristics of the materials and dimensions of the assembly. Also, the process of development involves a model of experiments design to determine in the given equation, the behavior of the effects in the different types of failure.

Finally, the results obtained from the equation are presented and compared against the results of physical tests in laboratory proving to be very close and satisfactory.

Predictive maintenance has become a key strategy for improving reliability and availability in large-scale open-pit mining operations, where mining shovels play a critical role in the loading process. This paper presents a Systematic Literature Review focused on predictive maintenance, condition monitoring, and fault detection applied to mining shovels. Following the PRISMA guidelines and the PICOC framework, 48 studies indexed in Scopus were analyzed. The results show a growing adoption of data-driven approaches, particularly machine learning and signal processing, mainly based on vibration data and focused on structural subsystems. However, challenges related to industrial validation, data quality, generalization, and interpretability remain.

Manual transportation of agricultural products during harvest represents a critical activity that demands extensive operational time and physical effort from workers, negatively impacting productivity and increasing production costs. This challenge is particularly significant in high-value crops such as grapes, where efficient handling and transport of the harvest are essential to preserve product quality and maintain competitiveness in the agro-industrial sector. In this context, the present study proposes the development of an autonomous vehicle aimed at optimizing grape harvesting, contributing to operational efficiency, productivity improvement, and sustainability.

An engineering design methodology was applied, encompassing the development, implementation, and validation of a modular and scalable prototype. The system was designed to operate safely and reliably on irregular agricultural terrains, with a load capacity of 30 kg. Its architecture integrates traction, sensing, power, communication, and mechanical subsystems, enabling future technological expansions.

The primary benefits of the system include reduced transport times to sorting and packaging stages, decreased physical labor, and enhanced workplace safety. Additionally, the use of low-consumption electric energy and recyclable materials contributes to minimizing environmental impact. Finally, the low-cost design positions the prototype as a viable solution for small and medium-sized producers, promoting the adoption of automated agricultural technologies in La Joya, Arequipa.

The global need to transition to renewable energy has intensified the demand for innovative solutions. However, these solutions must be not only sustainable but also efficient, as outlined in Sustainable Development Goal 7 (Affordable and Clean Energy). This research addresses the challenge of analyzing paraffin as a stable and temperature-resistant phase change material (PCM) for use in thermal energy storage systems. Such systems are often designed for water heating in households without access to electricity or fuel, aligning with the Sustainable Development Goals.

Currently, the share of renewable energy in global total energy consumption increased from 16.7% in 2015 to 18.7% in 2021. This growth reflects the rising adoption of these new technologies, which play a leading role in energy production. Efforts have been made to optimize and enhance their efficiency, with the use of PCMs in such systems being one promising solution. The experiment conducted utilizes paraffin as a PCM in a water-containing cell, where the heat exchange between the paraffin and water was evaluated. This model is applied to solar panel-powered water heating systems, and we assessed the feasibility of using paraffin in these applications. To evaluate and verify its performance, reference working fluids and operating conditions were adopted.

Access to transtibial prostheses in Peru is limited due to high manufacturing costs and long delivery times associated with traditional fabrication methods. This research proposes the use of generative design and additive manufacturing as a technological alternative to significantly reduce these constraints. First, fundamental design criteria were defined based on ISO 22675 and ISO 10328 standards, establishing structural resistance requirements (1273 N and 50 N·m) for users weighing less than 100 kg, as well as morphological parameters representative of the average Peruvian population. Subsequently, a base model was developed in Fusion 360, applying geometric constraints, loading conditions, and material selection (PLA), to generate multiple optimized proposals through generative design. The selected model was manufactured using 3D printing and subjected to laboratory compression testing, evaluating mass, printing time, and maximum supported load. Results demonstrate that the prototype meets the established structural requirements while drastically reducing manufacturing costs, estimated at approximately 48 Peruvian soles, compared to local commercial ranges between 2,500 and 5,000 soles. Additionally, manufacturing time was reduced to approximately 28 hours. It is concluded that integrating generative design and 3D printing represents a viable, cost-effective, and technically suitable alternative to improve access to transtibial prostheses in resource-limited settings

In long-distance fluid transport, the use of expansion fittings is crucial for increasing efficiency, which is affected by geometry and phase interaction. With the increase in oil and oil sands extraction, projected the global supply of these fluids increases significantly from 5.4 mb/d in 2022 to around 10.6 by 2045 according to OPEP data, the continuous improvement of these processes is of great importance for enhancing energy efficiency and reducing their environmental impact. This aligns with the Sustainable Development Goals, particularly goals 12 (responsible production and consumption) and 9 (industry, innovation, and infrastructure). To address this challenge, a numerical analysis of fluid behavior through the fitting was performed, varying parameters such as the diameter ratio (1,5, 2,0, 3,0), the expansion angle (7, 15, 30), the fluid velocity (1,5; 2,0; 2,5; 3,0), and the fluid itself (water, API 30,7 oil). All of this was done using computational fluid dynamics (CFD) simulations in ANSYS Fluent®. These simulations aim to evaluate the loss coefficient (K) of this fitting commonly used in heavy crude oil transport, in order to reduce pressure losses in pipelines and erosion in flows containing sand or sediment.