The Optimum Cutting Condition when High Speed Turning of Aluminum Alloy using Uncoated Carbide

Umroh, Bobby; Muhathir, -; Darianto,

doi:10.1088/1757-899x/505/1/012041

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Optimizing [46] the hyper-parameters of multi-layer perceptron with greedy search, in experiment using Fashion MNIST and Kuzushiji MNIST datasets, is the topic of Bae's et al [36]. The proposed algorithm shows the similar performance as compared to complete search, which means the proposed algorithm can be a potential alternative to complete search.…”

Section: Detection Of Covid-19 Infection In Chest X-rays Basedmentioning

confidence: 95%

Optimization of Multilayer Perceptron Hyperparameter in Classifying Pneumonia Disease Through X-Ray Images with Speeded-Up Robust Features Extraction Method

Ula¹,

Muhathir²,

Sahputra³

2022

IJACSA

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Pneumonia is an illness that affects practically everyone, from children to the elderly. Pneumonia is an infectious disease caused by viruses, bacteria, or fungi that affect the lungs. It is quite difficult to recognize someone who has pneumonia. This is because pneumonia has multiple levels of classification, and so the symptoms experienced may vary. The multilayer perceptron approach will be used in this study to categorize Pneumonia and determine the level of accuracy, which will contribute to scientific development. The Multilayer Perceptron is employed as the classification method with hyperparameter learning rate and momentum, while SURF is used to extract the features in this classification. Based on the experiments that have been carried out, in general, the learning rate value is not very influential in the learning process, both at the momentum values of 0.1, 0.3, 0.5, 0.7, and 0.9. The best desirable accuracy value for momentum 0.1 is at a learning rate of 0.05. The best desirable accuracy value for momentum 0.3 is at a learning rate of 0.09. The most desirable accuracy value for momentum 0.3 is at a learning rate of 0.05 and 0.07. At a learning rate of 0.03 the highest ideal accuracy value is obtained. The best desirable accuracy value for momentum 0.9 is at a learning rate of 0.09. this research should be redone using the number of hidden layers and nodes in each hidden layer. The addition of a hidden layer, as well as variations in the number of nodes in the hidden layer, will affect computation time and yield more optimal accuracy results.

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Section: Detection Of Covid-19 Infection In Chest X-rays Basedmentioning

confidence: 95%

Optimization of Multilayer Perceptron Hyperparameter in Classifying Pneumonia Disease Through X-Ray Images with Speeded-Up Robust Features Extraction Method

Ula¹,

Muhathir²,

Sahputra³

2022

IJACSA

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“…6. Результаты энергодисперсионного анализа задней поверхности режущих пластин ВК8 (а), ВК6ОМ (б) и WC-10Co (в) после испытания на износостойкость [25]. Средняя скорость износа на линейном участке (нормального износа) снижается с увеличением твердости согласно закону Архарда (рис.…”

Section: механизм износа механизм износаunclassified

Comparative analysis of the tool life of submicron hard alloy WC-10Co sintered from powder obtained by electro discharge in oil

Vlasova

2023

Izv. VUZ. Poroshk. Met.

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In this paper, comparative studies of the microstructure, mechanical characteristics and service life of a cutting insert made of submicron cemented carbide WC-10Co, obtained as a result of recycling VK10 cemented carbide by Electro Discharge Erosion (EDE) in oil, were carried out. The specific energy consumption directly for the formation of pulses in the process of EDE is to a relatively small value (5.7 kW·h/kg). Excess carbon formed as a result of oil pyrolysis during EDE was removed by heat treatment. The granulometric composition of the obtained powder and the microstructure of the particles were studied. It is shown that the particles of the resulting powder consist of plate-like WC grains with an average diameter of 0.46 pm and interlayers of cobalt. The WC-10Co cutting insert, obtained by sintering this powder in vacuum, was used for a comparative analysis of service life during fine turning of aluminum alloy D16T. As objects for comparative analysis, cutters equipped with blades made of industrial alloys VK8 and VK6OM of a similar design were used. The microstructure and mechanical characteristics of the experimental alloy and the analogues presented have been studied. On the basis of studies of the microstructure and chemical composition of the back surface of the cutting inserts, the wear mechanism of the cutters was analyzed. It is shown that the hardness of the alloys has the main effect on their wear resistance when cutting an aluminum alloy with the presented cutters. The influence of the hardness of the cutters on the surface roughness of the resulting part was also studied. The obtained submicron cemented carbide WC-10Co exhibits the highest hardness (1590 HV) and wear resistance of the presented samples due to the smallest WC grain diameter (0.59 pm).

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Optimization of Amount of Banana Skin Powder as Cementitious Materials in Concrete using Genetic Algorithm

Hasibuan,

Prayuda,

Muhathir

2023

2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP)

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The Optimum Cutting Condition when High Speed Turning of Aluminum Alloy using Uncoated Carbide

Cited by 5 publications

References 7 publications

Optimization of Multilayer Perceptron Hyperparameter in Classifying Pneumonia Disease Through X-Ray Images with Speeded-Up Robust Features Extraction Method

Optimization of Multilayer Perceptron Hyperparameter in Classifying Pneumonia Disease Through X-Ray Images with Speeded-Up Robust Features Extraction Method

Comparative analysis of the tool life of submicron hard alloy WC-10Co sintered from powder obtained by electro discharge in oil

Optimization of Amount of Banana Skin Powder as Cementitious Materials in Concrete using Genetic Algorithm

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