Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-12-18
2024-10-25
Abstract—In modern manufacturing and assembling, high dimensional accuracy and fine surface finish play an important role. The grinding process is commonly used as finishing operation which makes the process distinguished from other machining processes. One of the best low cost methods of producing such parts is by a cylindrical grinding attachment on a lathe machine. In the present study heavy duty lathe was retrofitted with a grinding attachment. A mounting plate was loaded on a cross slide after removing the tool post. AC motor is employed for driving the grinding wheel. The grinding wheel was mounted on ball bearings with an overhang. The grinding wheel chosen is with aluminum oxide abrasives. The required speed can be attained by arranging pulley drives. The prepared work mounted between the centers of the lathe machine chosen. Cylindrical grinding with traverse feed is used for finishing components turned on a lathe. The surface finish obtained on the heavy duty lathe was modeled against various parameters, such as work speed; traverse feed rate and depth of cut. The improvement in surface finish on the work pieces leads to higher corrosion resistance, fatigue strength and reduced power loss due to friction. The optimization of the parameters is done by Regression Analysis. The outputs are subjected to Regression Analysis and the optimal values are attained. Index Terms—Cylindrical grinding Attachment, Surface finish, Work speed, Feed, Depth of the cut, Optimization
Cite: Devarakonda Harish Kumar, "Fabrication of Cylindrical Grinding Attachment on Lathe Machine and Optimization of Grinding Parameters by Regression Analysis," International Journal of Mechanical Engineering and Robotics Research, Vol. 4, No. 1, pp. 504-513, January 2015.