The standard empirical relation of machining cost was the objective function with power of the machine tool, strength of the tool, work-piece stiffness, speed of the spindle and tool feed as the constraints. The
For this estimation, response surface method- based quadratic regression models were obtained, and they determined the optimum cutting conditions by different cutting speeds, feed rate, cutting edge angles, and axial- radial-tangential vibration inputs. In the study, they obtaine...
The minimum of the quadratic sum of the working load rate of the vehicle tire is taken as the optimization objective. The tire-road adhesion condition, performance of the motor and braking system, and state of the motor are taken as constraints. In addition, a lower controller is established...
The RSM model, which relates tool life to the process parameters under consideration, was developed using ANOVA in the form of a reduced second-order (quadratic) model. The significance of the model and the effects of the parameters were established based on the F-value and the p-value. ...