Prediction of Process Parameters That Affecting on Surface Roughness in Multi-Point Forming Process Using ANOVA Algorithm
نویسندگان
چکیده
منابع مشابه
Statistical Analysis and Optimization of Factors Affecting the Surface Roughness in UVaSPIF Process Using Response Surface Methodology
Ultrasonic vibration assisted single point incremental forming (UVaSPIF) is based on localized plastic deformation in a sheet metal blank. It consists to deform gradually and locally the sheet metal using vibrating hemispherical-head tool controlled by a CNC milling machine. The ultrasonic excitation of forming tool reduces the vertical component of forming force. In addition, application of ul...
متن کاملInvestigation of the Effective Parameters on Surface Roughness in Magnetic Abrasive Finishing Process Using Design of Experiments
In this article, the effect of parameters like working gap, work piece rotational speed and material removal mechanism(injection of the SiC Abrasive slurry and Al2O3, use of diamond paste as abrasive tool) in Magnetic Abrasive Finishing process using designing of experiments on the external surface of Cylindrical work pieces of Stainless steel AISI 440C to get minimum surf...
متن کاملInvestigation of the Effective Parameters on Surface Roughness in Magnetic Abrasive Finishing Process Using Design of Experiments
In this article, the effect of parameters like working gap, work piece rotational speed and material removal mechanism(injection of the SiC Abrasive slurry and Al2O3, use of diamond paste as abrasive tool) in Magnetic Abrasive Finishing process using designing of experiments on the external surface of Cylindrical work pieces of Stainless steel AISI 440C to get minimum surf...
متن کاملAn Investigation on the Effects of Optimum Forming Parameters in Hydromechanical Deep Drawing Process Using the Genetic Algorithm
The present research work is concerned with the effects of optimum process variables in elevated temperature hydro-mechanical deep drawing of 5052 aluminum alloy. Punch-workpiece and die-workpiece friction coefficients together with the initial gap between the blank holder and matrix were considered as the process variables which, in optimization terminology, are called design parameters. Since...
متن کاملIntelligent Prediction of Process Parameters for Bending Forming
The choice of the process parameters in the conventional tube bending forming is often based on experience and adjusted by repeated bending tests. The method of constantly testing to adjust has seriously affected the production efficiency and increased production costs. In this paper, neural network is used to establish the intelligent prediction model of the pipe forming process parameters. Th...
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: Al-Khwarizmi Engineering Journal
سال: 2019
ISSN: 2312-0789,1818-1171
DOI: 10.22153/kej.2019.10.002