Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : machining parameters

The Effects of Process Parameters on Residual Stresses in Single Point Incremental Forming of A1050 Aluminum Using ANOVA Model

M. Kamal; S. Mohammed; A.S. Bedan

Engineering and Technology Journal, 2017, Volume 35, Issue 1, Pages 41-48

Incremental sheet metal forming is a modern technique of sheet metal forming in which a uniform sheet is locally deformed during the progressive action of a forming tool. The tool movement is governed by a CNC milling machine. The tool locally deforms and by this way the sheet with pure deformation stretching. The aim of the present work is to inspect, experimentally, the state of the residual stresses induced in SPIF parts made by A1050 aluminum. The forming surface was measured at four different angles using a ORIONRKS 6000 test (the X-ray diffraction technology was used to detect the residual stress) measuring instrument with the angles (0o, 15o, 30o and 45o) and the average residual stress value is recorded in (MPa), the residual stress in original blanks is (-6.29MPa). This specialized stress analysis system using the side-inclination method includes stress analysis software, the stress analysis sample stand and X-ray tube. A comparison study is made for tabulated values and experimental values for residual stress by using ANOVA model with the contribution of rotational speed, feed rate and forming depth with respect to residual stress is (63.7, 4.3 and 32)% respectively..

Modeling and Optimization of Machine Parameters Using Simulated Annealing Algorithm (SAA)

Aqeel Sabree Bedan; Alaa Hassan Shabeeb; Hassan Nemaha Al-Sobyhawe

Engineering and Technology Journal, 2016, Volume 34, Issue 7, Pages 1473-1482

The present work deals with the mathematical modeling and analysis of machining response such as the surface roughness in the milling of aluminum alloy (AA6061). There are several machiningvariableslikerotational speed, depth of cut and feed rate used to find the quality of surface quality.
Simulated Annealing Algorithm (SAA) is utilized to develop an effective mathematical model to predict optimum level. In simulated annealing algorithm (SAA), an exponential cooling program depending on Newtonian cooling is applied and experimentation is done on choosing the number of iterations for each step. The SAA is used to predict the cutting variables (rotational speed,feed rate and depth of cut) on productquality in dry millingof Al 6061 based on Taguchi‘s orthogonal array of L9 and analysis of variance (ANOVA) were apply to determination the important factors that effect on surface quality.
At last, tests were conducted to confirm by making a comparison between the experimental results and the model developed. The experimental results have shown the performance ofmachining in the milling can be improved effectively using this algorithm.

Effect of Multi-Coats of Cutting Tools on Surface Roughness in Machining AISI 1045 Steel

Maan Aabid Tawfiq

Engineering and Technology Journal, 2008, Volume 26, Issue 12, Pages 1523-1533

In this study, orthogonal machining tests in dry turning method are performed on
(AISI 1045 St.), in order to examine the influences for the type and number of
coatings on surface roughness. The cutting tools used are (TiN, TiN/TiC, and
TiN/Al2O3/TiC); multiple layers coated cemented carbide inserts. The tests are
performed at five different cutting speeds (80, 112, 155, 220 and 300) m/min,
while the feed rates are kept to be (0.08, 0.11, 0.14, 0.16 and 0.2) mm/rev
respectively, at constant depth of cut and tool geometry. The results showed that
(TiN/TiC) coated cutting tools gave best results for surface finish compared with
TiN/Al2O3/TiC, TiN and uncoated tool, for all the selected machining conditions.
The experimental results showed that, when the cutting speed is increased from
(80-300)m/min and feed rate is reduced by (250%), the values of surface roughness
is decreased by: (20%) for uncoated tool insert ,(27%) for single coated layer insert
(TiN), (55%) for double coated layer insert (TiN/TiC) and (49%) for triple coated
layer insert (TiN/Al2O3/TiC).