Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms

Abstract

Advanced manufacturing systems often caters to rapidly changing product specification determination by the continuously increasing productivity, flexibility and quality demands. The estimation of cutting forces is mandatory to select tools and accessories for machining. Complex interrelationships exist between process parameters and these forces. In the present work, the applicability and relative effectiveness of artificial neural network based model has been investigated for rapid estimation of cutting forces. The results obtained are found to correlate well with the actual experimental readings of cutting forces. Experiments were conducted at different process parameters of cutting in Drilling operation. The proposed work has wide application in selection of tools and online tool wear monitoring. General TermsMeasurement and modeling of Cutting forces.

WITHDRAWN: Optimization of Modular Fixture Layout by Minimizing Work-piece Deformation

“…The locators ful ll two purposeful desires: (1) Locate and stabilize the workpiece and (2) Minimize workpiece deformations be serving as supports. The optimization analysis tries to ful ll both functional requirements using only one design parameter which is the identifying the position of the locators on the workpiece surface [10].…”

Multi-objective Optimization Using Neural Network, Differential Evolution, and Teaching Learning Based Optimization in Drilling Process of Glass Fiber Reinforced Polymer

“…Drilling is a machining process that is used to create a circular hole using a twist drill. Its movements will produce forces in the axial direction called thrust force, and in the rotational direction called torque then these forces will affect the hole roundness and surface roughness which can influence the quality of the product [7,8]. To predict the values of these parameters, it is adequate to apply neural networks, especially the one namely Backpropagation Neural Network (BPNN) [9][10][11][12].…”

“…1.1. Drilling in GFRP Gurumukh Das and Padam Das [7] defined the cutting forces in the drilling process. The force acting on both the lips of a drill in drilling process may be resolved into three mutually perpendicular force components: axial force (F A ) along the axis of a drill, radial force (F R ) along the radial direction of a drill, and tangential force (F T ) perpendicular to the force components F A and F R as shown in Figure 2 [26].…”