EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy

An approach to determining garment sizes with fuzzy logic

Mong Hien Nguyen — 2024-10-03

This paper introduces a method for determining men's trousers sizes using a fuzzy logic technique. The Sugeno model is employed in a MISO fuzzy system with three inputs and one output. The process begins by choosing primary dimensions from the size chart, specifically one horizontal and one vertical dimension, followed by defining the value ranges for the membership functions. The model results, based on a size chart that includes six different dimensions. In this study, waist girth and outseam are selected as the primary dimensions, acting as input variables for the simulation model. Fuzzy logic is utilized to determine the size based on the Min-Max rule, with the IF-THEN structure effectively implementing commands within this model. The result of this process is an optimal size selection that aligns more accurately with the individual's body measurements. Moreover, the application of fuzzy logic significantly reduces the time required for size determination compared to traditional methods. This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. The study underscores the potential of fuzzy logic to enhance the efficiency and effectiveness of garment sizing systems, offering a promising solution to the challenges posed by standardized sizing methods.

Influence of Magnetic Fields on the Microstructure and Mechanical Properties of MIG Welds

Tan Nam Le — 2024-11-16

This study investigates the impact of magnetic fields on the microstructure and mechanical properties of Metal Inert Gas (MIG) welds. Steel plate samples were welded under the influence of a magnetic field generated by permanent magnets, with simulations and experimental analyses used to evaluate weld quality. Key parameters such as magnetic field strength, magnet rotation speed, and distance were varied to assess their effects on the weld structure. The results revealed that applying a dynamic magnetic field improves weld penetration, alters grain structure, and reduces defects, enhancing mechanical strength and weld integrity. Finite element modeling was employed to simulate the effects of rotating magnets on the welding area, showing a uniform temperature distribution and significant changes in the fluid flow of the molten pool. These findings provide insights into optimizing welding parameters and demonstrate the potential for using magnetic fields to enhance welding processes, offering practical applications for advanced manufacturing.

Usability Assessment of Diesel Blends with Vegetable Oil and Ethanol in Diesel Engines

Truyen Huu Pham — 2024-11-07

Vegetable oil is a type of biofuel that is renewable and capable of reducing emissions and harmful components in diesel engine exhaust. However, vegetable oil has several properties that differ from mineral diesel, such as high viscosity and large surface tension, making it unsuitable for direct use in conventional diesel engines. To overcome these drawbacks, several solutions have been proposed, such as pyrolysis, blending, esterification, and emulsification. Among these, the method of blending vegetable oil with low-viscosity fuels is considered simple and highly feasible. This paper presents some research results on the technical characteristics and emissions of a diesel engine using a diesel-ethanol-vegetable oil blended fuel.

A Comparative Review of Air Quality in India’s Most Populated Capitals: Analyzing AQI Based on Environmental pollutants PM2.5, Carbon Monoxide (CO), Nitrogen dioxide (NO2), Sulfur dioxide (SO2), and Ozone (O3)

Jaspreet Kaur — 2024-10-29

Air pollution in India has become a significant environmental and public health issue, particularly in densely populated urban centers. This paper reviews and compares the Air Quality Index (AQI) in five of India's most populous and polluted capital cities—New Delhi, Mumbai, Kolkata, Chennai, and Bengaluru—focusing on key pollutants: Particulate Matter (PM2.5 and PM10), Carbon Monoxide (CO), and Sulfur Dioxide (SO₂). Data for this review were sourced from the Central Pollution Control Board (CPCB), WHO reports, and city-level environmental monitoring agencies. (1)

Each city's AQI trends are analyzed to highlight the major contributors to air pollution, such as vehicular emissions, industrial activities, and seasonal factors like stubble burning and weather patterns. New Delhi consistently ranks as the most polluted city with hazardous PM2.5 and PM10 levels, while other cities like Mumbai and Chennai, though polluted, exhibit lower AQI levels due to geographical and climatic conditions.

This review also examines the health risks posed by prolonged exposure to these pollutants and evaluates current mitigation efforts by the government. The study emphasizes the need for more stringent policies, sustainable urban planning, and public awareness campaigns to reduce air pollution in these urban areas. Further research is recommended to assess the long-term impact of current policy measures and explore alternative solutions for improving urban air quality.