Orthogonal shaped turning is a non-free cutting process, because the main geometric and force parameters are variable while radial infeed of tool: side edge angle (SCEA), width thickness cut, rake flank etc.. In this regard, existing dependencies, which used for stationary conditions cutting, not applicable. Analytical dependences calculating forces orthogonal obtained on basis experimental stu...

Observations are made regarding the influence of cutting speed and friction on cutting force by way of finite element modeling. Simulations are validated by comparison of cutting forces and chip morphologies for the Al6061-T6. Analysis of cutting forces over a wide range of cutting conditions suggests an important role of the secondary shear zone in the decrease of cutting force as a function o...

This research outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in drilling of glass fiber reinforced composite (GFRC) material. Analysis of variance (ANOVA) is used to study the effect of process parameters on machining process. This procedure eliminates the need for repeated experiments, time and conserves the material by the conventional procedure...

Article history: Received June 6 2014 Received in Revised Format September 9 2014 Accepted September 15 2014 Available online September 22 2014 In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 ...

Optimum energy consumption and prevention of energy losses are important issues in various fields including agricultural engineering. Mower is one of the agricultural machineries that can waste too much energy if does not function properly. In this study, the performance of a single disc rotary mower was studied and optimized by measurement of cutting quality of the stem cross section (cutting ...

The present investigation deals with the study and development of a surface roughness prediction model for the machining of unidirectional glass fiber reinforced plastics (UDGFRP) composite using Artificial Neural Network (ANN). The feed forward back propagation is used. Taguchi method (Orthogonal L16 array) is employed to carry out the experimental work. The process parameters selected for stu...