X5CrNi18-10 is a corrosion-resistant steel that has become popular in the automotive, marine, food, nuclear, and other industries. Chromium alloyed in the X5CrNi18-10 increases the material’s toughness, which influences the cutting phenomena such as the cutting force and vibration. It is necessary to investigate the effect of the machining parameters on the X5CrNi18-10 turning, particularly the feed, which has significant effects on the cutting phenomena. The objective of this research is to investigate the correlation between the feed and cutting phenomena to improve the product quality, reduce machining disruptions, and optimize the parameters for a low cutting speed and vibration. Statistical analysis has shown promise in identifying the impact of variables using correlation analysis and estimated marginal means plots. This study highlights the findings of the Pearson’s correlation analysis between the feed, active cutting force, and active vibration as well as the estimated marginal means plots between the machining parameters and cutting phenomena. The results indicate that there is a strong correlation between the feed and active cutting force with a coefficient of correlation of 0.688, as well as the feed and active vibration with a coefficient of correlation of 0.697. The estimated marginal means plots indicate that as the cutting speed increases, the value of the active vibration and the active force decreases.
Keywords: cutting force analysis; vibration analysis; turning process; X5CrNi18-10 steel; statistical analysis; machining dynamics; regression analysis
Abstract. Manufacturing system automation is becoming more and more important in sectors due to the growing digital revolution (Industry 4.0) and economic competitiveness. One of the key criteria for making machines entirely automatic is the installation of sensors on the machine. Industrialists have used speed, temperature, and other sensors to offer real-time data and examine faults but sensors to interpret vibration are still being developed. One of the primary impacts of vibration is on the surface roughness. Surface roughness has an impact on several factors affecting the machine, including stress concentration, frictional wear, corrosivity, and so on. To prevent such failures, this study focused on identifying a correlation between vibration and surface roughness by adjusting the feed rate and it was found 92.2 % correlation is noted in between vibration and arithmetic average surface roughness.
Keywords: Vibration, Turning operation, Correlation, MPU6050 Sensor, Surface Roughness
Abstract. Workability of material is defined as the ease of operating on it. 11SMn30 is widely used material in automobile manufacturing industries. Cutting forces have been shown to be the most effective measure for understanding metal machining processes. The forces which helps in performing machining operation also affects the cutting tool, in terms of deformation, bend, wear, which leads to the vibration in the machining system, This article aims to study the correlation between feed, components of cutting forces and components of vibration in turning of 11SMn30 steel grade using dynamometer and MPU6050 sensor.
Keywords: Turning operation, Cutting forces & Vibrations, Correlation, Analysis of Variance
ANOVA and Correlation Analysis of Feed, Cutting Forces and Tool Vibration in 11SMn30 Steel Turning
Abstract. The shift towards industry 4.0 in automative parts manufacturing and cloud machining solutions requires an understanding of materials machinability. To manufacture high quality products feed, cutting forces and tool vibration are important machining parameters that their dependence on one another other needs to be identified. This paper studies the Pearson correlation between feed, cutting forces and tool vibration and ANOVA is calculated to verify the validity of model. 11SMn30 a widely used steel grade for manufacturing shafts was used in the current study because of its very good machinability. The results suggests that feed rate influences both cutting forces as well as vibration in tool which has an overall effect on product quality.
Keywords: 11SMn30 Steel Grade, Machinability, Cutting Forces, Tool Vibration, Correlation Analysis, ANOVA.
DIVINE BALANCE: STUDY OF SACRED MEANINGS ACROSS RELIGIONS
DIVINE BALANCE: STUDY OF SACRED MEANINGS ACROSS RELIGIONS
Model Justifying Existence of 33 million Gods
Prediction of Surface Roughness using AI
Surface roughness is the factor that plays important role in performance of product, increasing demand of product, raise the question on manufacturing technology, Fuzzy logic is used to determine the surface roughness, Experimental data was compared with predicted data from AI, and it is found that predicted data reliable.
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International Journal of Energy Resources Applications (IJERA)
Energy Conservation Analysis in E-Rickshaw Using Fuzzy Logic
Increasing demand of E-Rickshaw, Owners are demanding high capacity of battery for long drives, however the size of E-rickshaw limits the capacity of the battery. If energy losses are decreased the capacity will subsequently increase. Two parameters Weight & Brake Pressure were evaluated to save the battery power using Fuzzy Logic Controller and results showed that 57% of voltage supplied is reduced from no brake pressure to half brake pressure.
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Foreign International Scientific Conference
FUZZY LOGIC: AN APPLICATION IN ENERGY CONSERVATION
ABSTRACT :Energy losses additionally affect the economy of country where Heaters & Radiators are utilized in major magnitude, method of Fuzzy logic operator can be utilized to preserve the energy and control the heater valve so that losses can be abbreviated while maintaining the temperature of the room, simulation is performed to check the reliability of the fuzzy logic operator in maintaining room temperature which additionally result in preserving the energy.
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ИССЛЕДОВАНИЕ ДЕФОРМАЦИИ БАМПЕРА АВТОМОБИЛЯ НА ОСНОВЕ МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ
Аннотация: В данной работе, на основе компьютерного моделирования, проводились исследования по деформации бамперов, изготовленных из дух разных материалов, конструкционной стали IF-180 и ударопрочного пластика полистирола высокой жёсткости.
Foreign International Scientific Conference
ABSTRACT: Reducing the size of the chamber furnace will be serviceable for preserving space, especially for small industries. In this paper, we study the characteristics of the heat transfer of a furnace using refractory bricks as an insulating material, which is mainly utilized in industry, as well as a promising material – silica fiber. A study using ANSYS programs proved that the utilization of silica fiber can reduce the thickness of the furnace wall by up to 9 times.
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