Effects of Nanoparticles on the MRR and TWR of graphene-based Composite by Electro discharge Machining

The purpose was to investigate the process of formation and characteristics of fluorine compounds in the production waste upon roasting mechanically activated phosphorite, as well as the development of effective methods and technologies for their utilisation. The present study employed the analytical method, the classification method, the functional method, the statistical method, the synthesis method, structure-functional method, method of deduction. During the study, the composition of waste products from the roasting of mechanically activated phosphorite was analysed. Proper treatment of fluoride compounds is critical to preserving the environment and ensuring general well-being. These substances are toxic and can harm ecosystems and human health. Fluoride compounds generated during firing can have a negative impact on biological systems, and therefore, the effective disposal of these substances is becoming an integral part of the industrial production of phosphate rock and mineral fertilizers. The waste was found to contain significant amounts of fluoride compounds, including gaseous and solid forms. This confirms the need to develop methods and technologies for their utilisation.

Section: Discussionmentioning

confidence: 99%

Investigation of Production Wastes Upon Roasting Mechanically Activated Phosphorite and Utilisation of Fluorine Compounds

Nurtayeva,

Baisbay,

Issayeva

et al. 2024

“…Graphene, as a nanomaterial that has good mechanical and thermal stability and electrical properties, has great potential for use in electrochemical detection for food analysis [81][82][83] . Because graphene has a large surface area and many active sites, it has a high potential for charge molecular interactions, which can improve CPE selectivity and sensitivity [84][85] .…”

Section: Modified Cpes With Nanomaterials As Food Sensorsmentioning

confidence: 99%

Recent Trends and Application of Nanomaterial Based on Carbon Paste Electrodes: A Short Review

Wijaya,

Remi Ayu Pratika,

Nadia

et al. 2023

Carbon paste electrodes (CPEs) are a type of electrochemical sensor that have been widely used for sensing and monitoring various analytes. Recently, there has been a growing interest in incorporating nanomaterials into CPEs to improve their performance and sensitivity.Here are some recent trends and applications of modified CPEs based on nanomaterials, which have been shown to have enhanced sensitivity and selectivity for the detection of various analytes such as those in food and drug samples. The high surface area and electrical conductivity of CPEs make them ideal for use in electrochemical sensing applications. Nanomaterial-based CPEs have also been widely studied for their high sensitivity and selectivity in sensing various analytes. Nanomaterials such as Multi-Walled Carbon Nanotube (MWCNT), Single-Walled carbon Nanotube (SWNCT), Graphene, or other naomaterial have excellent electrical conductivity, large surface area, and high mechanical strength, making it an attractive nanomaterial for use in CPEs. A CPEs-based nanomaterial has been used in electrochemical detection, demonstrating improved sensitivity compared to traditional CPEs. In general, the incorporation of nanomaterials into CPEs has opened up new opportunities for the development of highly sensitive and selective electrochemical sensors for a wide range of applications including environmental monitoring, drug diagnosis, and food safety.

“…High-strength materials are essential to many sectors, including aerospace, space exploration, nuclear engineering, biomedical technology, and the automotive sector. However, machining these materials is a challenging task that often requires expensive cutting tools [1][2][3][4] . To address this challenge, hot machining is employed, a method that utilizes heat to soften the workpiece, minimizing its shear strength and making it easier to cut.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Chips Geometry and Parametric Optimization using Grey Relational Analysis (GRA) in Hot Turning of AISI 202

Subhas Chandra Moi,

Ranjan

2024

Hot turning is a method that assists in metal cutting by applying heat, especially useful for dealing with difficult-to-machine materials. Such challenging materials typically possess unique characteristics, including exceptional strength at high temperatures (referred to as hot strength), low ability to conduct heat, and a tendency to become harder during machining. As a result, machining these materials leads to increased cutting forces, higher specific power consumption, quicker tool wear, and compromised quality of the machined surface. To improve machining efficiency, one can utilize the concept of hot machining, which involves using an external heat source to heat the workpiece before machining. This preheated workpiece becomes softer, improving tool life, surface finish, and power consumption while facilitating the removal of material with less cutting effort and tool wear. To improve surface quality and the material removal rate (MRR), which is always desirable for any machining operation, AISI 202 steel which is widely used in the automotive, aerospace, and electrical machinery industries was subjected to a hot turning process in this research study. The effort focused on maximizing material removal rate and lowering surface roughness utilizing the GRA approach to assess the optimal process environment that may concurrently satisfy both quality and productivity objectives. Special focus was also given to chip geometry. The results indicate that temperature has the greatest influence on not only equivalent chip thickness but also surface roughness and MRR, followed by cutting speed and cutting depth.