Cutting Force Prediction in End Milling Process of AISI 304 Steel Using Solid Carbide Tools
Authors
Abstract:
In the present study, an attempt has been made to experimentally investigate the effects of cutting parameters on cutting force in end milling of AISI 304 steel with solid carbide tools. Experiments were conducted based on four factors and five level central composite rotatable design. Mathematical model has been developed to predict the cutting forces in terms of cutting parameters such as helix angle of cutting tool, spindle speed, feed rate and depth of cut. Response surface methodology was employed to create a mathematical model and the adequacy of the model was verified using analysis of variance. The direct and interaction effect of the process parameters with cross feed forces were analysed, which helped to select cutting parameters in order to keep cutting forces minimum, which ensures the stability of end milling process.
similar resources
Parametric Optimization of End Milling Of AISI 1018 Mild Steel by Various Lubricants with Solid Carbide End Mills
This study investigated the optimization of End milling of AISI 1018mild steel by various lubricants using the Grey relational analysis method. Quaker 7101, Blasocut strong 4000 and Velvex have been selected as lubricant. All the experiment are carried out at different cutting parameter (Number of Tool Flutes, Depth of cut, Spindle speed and Feed rate) in various lubricant assisted environment....
full textWear Analysis during End Milling AISI 1018 Steel Using Microlubrication
Microlubrication minimizes the exposure of metal working fluids (MWFs) leading to an economical, safer and healthy workplace environment. In this study vegetable based lubricant is used to conduct wear analysis during end milling AISI 1018 steel using microlubrication. Solid carbide cutting tool was used with varying cutting speed and feed rate having a constant depth of cut. A full factorial e...
full textDesign optimization of cutting parameters for turning of AISI 304 austenitic stainless steel using Taguchi method
In the present work Taguchi method is used to optimize cutting parameters during dry turning of AISI 304 austenitic stainless steel with AlTiCrN coated tool. The coating was deposited on fine-grained K-grade (ISO K-20) cemented carbide cutting insert using physical vapor deposition (PVD) technique. The turning parameters evaluated are cutting speed of 200 and 260 m/min, feed rate of 0.20 and 0....
full textPrediction of Tool Life in End Milling of Hardened Steel AISI D2
Most published research works on the development of tool life model in machining of hardened steels have been mainly concerned with the turning process, whilst the milling process has received little attention due to the complexity of the process. Thus, the aim of present study is to develope a tool life model in end milling of hardened steel AISI D2 using PVD TiAlN coated carbide cutting tool....
full textSurface Roughness, Machining Force and FlankWear in Turning of Hardened AISI 4340 Steel with Coated Carbide Insert: Cutting Parameters Effects
The current experimental study is to investigate the effects of process parameters (cutting speed, feed rate and depth of cut) on performance characteristics (surface roughness, machining force and flank wear) in hard turning of AISI 4340 steel with multilayer CVD (TiN/TiCN/Al2O3) coated carbide insert. Combined effects of cutting parameter (v, f, d) on performance outputs (Ra, Fm and VB) ar...
full textOptimization of End Milling Process Parameters for Minimization of Surface Roughness of AISI D2 Steel
The present work analyses different parameters of end milling to minimize the surface roughness for AISI D2 steel. D2 Steel is generally used for stamping or forming dies, punches, forming rolls, knives, slitters, shear blades, tools, scrap choppers, tyre shredders etc. Surface roughness is one of the main indices that determines the quality of machined products and is influenced by various cut...
full textMy Resources
Journal title
volume 28 issue 7
pages 1074- 1081
publication date 2015-07-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023