Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by K.A. Abou-El-Hossein
Total Records ( 4 ) for K.A. Abou-El-Hossein
  K. Kadirgama and K.A. Abou-El-Hossein
  This study discussed the development of the first and second order power prediction model for milling 618 stainless steel with coated carbides cutting tool. The first and second order model has been developed by using response surface methodology with 4 factors. The surface method methodology has been analysis with using statistical software Minitab. From the model the equation that relates the factors (cutting speed, feed rate, axial depth and radial depth) with response (power) can be develop. Beside the relationship, the effect of the factors can be investigated from the equation develop. From the equation develop; the contour plot can be generated to predict the power at any zone of experimental zone.The model generated show that the power increases when cutting speed, feed rate, axial depth and radial depth are increased. The second-order is more accurate compare with the first order.
  K. Kadirgama and K.A. Abou-El-Hossein
  This paper describes the development of a response model (cutting force) for milling 618 stainless steel utilizing response surface methodology. The cutting force model is developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force contours have been generated from these model equations and are shown of different plots. The model generated show that the cutting force reach the maximum value when cutting speed decreased and , feed rate, axial depth and radial depth are increased. The second order is more accurate based on the variance analysis and the predicted value is closer with the experimental result.
  H.H. Habeeb , K.A. Abou-El-Hossein , Bashir Mohamad , Jahara A. Ghani and K. Kadirgama
  This study discusses about behavior of cutting tools in term of tool wear, tool life and surface roughness integrity when machining of nickel based alloys 242. Experimental tests were conducted using four different cutting tool materials under wet condition. They are TiAlN, TiCN/TiN, TiAlN/TiN (PVD) and TiCN/Al2O3 (CVD). Tool failure modes and wear mechanism for all cutting tools were examined at various cutting parameters. Flank wear was found to be the predominant tool wear for the four types of cutting tools especially with CVD tools. Coating is observed to be delaminated as main phenomena on all cutting tools surfaces. The obtained results have indicated that PVD cutting tools perform better than CVD cutting tools. The thickness of coating layers for CVD is thicker than PVD. Finite Element Analysis (FEA) is used to support this study in term of analysis of cutting tool deformation and cutting temperature.
  K. Kadirgama , M.M. Noor , M.M. Rahman , K.A. Abou-El-Hossein , B. Mohammad and H. Habeeb
  This study was developed the Finite Element Model (FEM) and Response Surface Method (RSM) to investigate the effect of milling parameters on frictions when milling Hastelloy C-22HS. This study gain better understanding of the friction distribution in metal cutting process. The RSM was used to minimize the number of simulation. The contour plot from RSM shows the relationship between input variables including the cutting speed, feed rate and axial depth and responses including the friction coefficient, friction angle, friction stress and friction force. Feed rate, axial depth and cutting speed play major role to generate high friction coefficient, friction angle, friction stress and friction force. When all the variables at highest value the friction stress become larger, on the other hand reduce the feed rate and increase other variable, it cause high friction coefficient, angle and force. The combination of numerical analysis and statistical method are very useful to analysis the distribution of friction in milling. It is suitable to use middle value of cutting speed, feed rate and axial depth when milling same type of materials.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility