Surface roughness prediction in ultrasonic vibration-assisted milling
نویسندگان
چکیده
منابع مشابه
Prediction of Surface Roughness by Hybrid Artificial Neural Network and Evolutionary Algorithms in End Milling
Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cut...
متن کاملPrediction of Surface Roughness in End Milling with Gene Expression Programming
Surface roughness has a great influence on the functional properties of the product. Finding the rules that how process factors and environment factors affect the values of surface roughness will help to set the process parameters of the future and then improve production quality and efficiency. Since surface roughness is impacted by different machining parameters and the inherent uncertainties...
متن کاملUltrasonic Vibration Assisted Electro-Discharge Machining
An ultrasonic vibration has been superposed on the normal electrode movement to increase the flushing effect during a micro electro-discharge machining (EDM) process. A systematic study on the effects of ultrasonic vibration on the EDM performance for fabricating microholes in Nitinol has been completed. The introduction of ultrasonic vibration to the microEDM process has more than 60 times inc...
متن کاملMathematical Modeling to Predict Surface Roughness in CNC Milling
Surface roughness (Ra) is one of the most important requirements in machining process. In order to obtain better surface roughness, the proper setting of cutting parameters is crucial before the process take place. This research presents the development of mathematical model for surface roughness prediction before milling process in order to evaluate the fitness of machining parameters; spindle...
متن کاملApplication of Ultrasonic Assisted Machining Technique for Glass-Ceramic Milling
In this study, ultrasonic assisted machining (UAM) technique is applied in side-surface milling experiment for glass-ceramic workpiece material. The tungsten carbide cutting-tool with diamond coating is used in conjunction with two kinds of cooling/lubrication mediums such as water-soluble (WS) cutting fluid and minimum quantity lubricant (MQL). Full factorial process parameter combinations on ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Advanced Mechanical Design, Systems, and Manufacturing
سال: 2020
ISSN: 1881-3054
DOI: 10.1299/jamdsm.2020jamdsm0063