Grain refinement of aluminium 4032 alloy with the impact of vibration using Taguchi technique and analysis of variance (ANOVA)

Korgal, Akash; Upadhyaya, Shravan; Anilkumar, T. V.

doi:10.1016/j.matpr.2021.11.504

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…As part of the research, statistical analysis [19][20][21][22][23] was carried out with ANOVA method for the collected experimental data. Apart from that Tukey's test was carried out with significance of p = 0.05.…”

Section: Discussionmentioning

confidence: 99%

Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Przybył

Wawrzyniak²,

Samborska³

et al. 2022

Fourteenth International Conference on Digital Image Processing (ICDIP 2022)

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Fruit juices and vegetable and fruit juices are the products, which provide our bodies with a lot of valuable and nutritional ingredients and play a major role in prevention of numerous illnesses. Raspberries are the valuable source of bioactive compounds. As part of preserving food, whose main aim is to extend stability of products obtained only in season, the researchers took advantage of spray drying technique. In the research part of the study, research samples were prepared in the form of raspberry powders obtained from the process of dehumidified spray drying. Because of the research, a neural model was made, which supported the evaluation of the quality of detecting powder samples based on their color. The devised neural network reached classification accuracy at 0.924.

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Section: Discussionmentioning

confidence: 99%

Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Przybył

Wawrzyniak²,

Samborska³

et al. 2022

Fourteenth International Conference on Digital Image Processing (ICDIP 2022)

View full text Add to dashboard Cite

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“…The F-test (ANOVA), also known as the analysis of variance, is a statistical test that may be used to characterize the connection between independent variables and predictors and determine the level of the variable that performed the best [32]. ANOVA is a decision-making tool to identify variations in process parameters [33] from predetermined predictors [32]. The F-test measures the magnitude of the difference in variance between two or more groups.…”

Section: F-test T-test and R-squarementioning

confidence: 99%

Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic

Fachri Pane,

Adiwijaya,

Dwi Sulistiyo

et al. 2023

JOIV : Int. J. Inform. Visualization

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Concerning the implementation of the government policy regarding the Restriction of Community Activities (PPKM) during the COVID-19 pandemic era, there are still discrepancies in the economic sector and population mobility. This issue emerges due to irrelevant data and information in one region of Indonesia. The data differences should be carefully solved when implementing the PPKM policy. Besides, the PPKM must also pay attention to some specific factors related to the real conditions of a region, such as the data on the epidemiology of COVID-19, economic situations, and population mobility. These three are called Multi Factors. Then, based on the data, COVID-19 has a specific spreading period that cannot be repeated and thus is called temporal. Therefore, using the Multi-Temporal Factors approach to identify their correlation with the PPKM policy by applying Machine Learning, such as the Multiple Linear Regression model and Dynamic Factors, is essential. This research aims to analyze the characteristics and correlations of the COVID-19 pandemic data and the effectiveness of the government's policy on community activities (PPKM) based on the data quality. The results show that the accuracy of the multiple linear regression models is 84%. The Dynamic Factor shows that the five most important factors are idr_close, positive, retail_recreation, station, and healing. Based on the ANOVA test, all independent variables significantly influence the dependent one. The linear multiple regression models do not display any symptoms of heteroscedasticity. Thus, based on the data quality, the implementation of PPKM by the government has a practical impact.

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“…Figure 11 shows a flowchart of the Taguchi optimization technique. Korgal et al [111] studied the grain refinement and tensile strength of AA4032 alloy using Taguchi and ANOVA analysis. The significant advantage of the Taguchi method is that it focuses on the mean performance value rather than the value within certain limits.…”

mentioning

confidence: 99%

A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process

Prabhakar,

Korgal,

Shettigar

et al. 2023

JMMP

Self Cite

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This review reports on the influencing parameters on the joining parts quality of tools and techniques applied for conducting process analysis and optimizing the friction stir welding process (FSW). The important FSW parameters affecting the joint quality are the rotational speed, tilt angle, traverse speed, axial force, and tool profile geometry. Data were collected corresponding to different processing materials and their process outcomes were analyzed using different experimental techniques. The optimization techniques were analyzed, highlighting their potential advantages and limitations. Process measurement techniques enable feedback collection during the process using sensors (force, torque, power, and temperature data) integrated with FSW machines. The use of signal processing coupled with artificial intelligence and machine learning algorithms produced better weld quality was discussed.

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Grain refinement of aluminium 4032 alloy with the impact of vibration using Taguchi technique and analysis of variance (ANOVA)

Cited by 3 publications

References 7 publications

Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Application of artificial neural networks in recognizing carrier based on the color of raspberry powders obtained in the spray-drying process

Multi-Temporal Factors to Analyze Indonesian Government Policies regarding Restrictions on Community Activities during COVID-19 Pandemic

A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process

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