Prediction of drilling temperature during low-frequency vibration drilling of titanium alloy
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چکیده
منابع مشابه
Prediction of Temperature Distribution during Drilling Process Using Artificial Neural Network
Experimental & numeral study of temperature distribution during milling process, is important in milling quality and tools life aspects. In the present study the milling cross-section temperature is determined by using Artificial Neural Networks (ANN) according to the temperature of certain points of the work piece and the point specifications and the milling rotational speed of the blade. In t...
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Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this difficulty, the current work aims at predicting the required rotational torque (RT) to opera...
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OBJECTIVES The purpose of this study was to evaluate the temperature change during low-speed drilling using infrared thermography. MATERIAL AND METHODS Pig ribs were used to provide cortical bone of a similar quality to human mandible. Heat production by three implant drill systems (two conventional drilling systems and one low-speed drilling system) was evaluated by measuring the bone temper...
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ژورنال
عنوان ژورنال: Journal of Advanced Mechanical Design, Systems, and Manufacturing
سال: 2017
ISSN: 1881-3054
DOI: 10.1299/jamdsm.2017jamdsm0036