Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Optimization


Exploring the Effect of Dimensional Tolerance of the Inserts During Multi-Objective Optimization of Face Hard Milling Using Genetic Algorithm

S.K. Shihab

Engineering and Technology Journal, 2017, Volume 35, Issue 4, Pages 381-390

Surface roughness and dimensional deviation are critical quality dimensions of machined products and several machining parameters including tool insert dimensional tolerance affect them. Machining performance studies involving dimensional tolerance of the insert during machining, particularly hard face milling do not have considerable attention of the researchers. Therefore, the aim of the present work is to investigate the effect of the dimensional tolerance of the insert along with other machining parameters such as spindle speed, feed per tooth, and depth of cut on the roughness and dimensional deviation simultaneously. Experiments were conducted as per standard L18 mixed orthogonal array on a CNC vertical milling machine. Significance of machining parameters with respect to roughness and dimensional deviation was determined using Analysis of variance (ANOVA). Results revealed that among several machining parameters, feed per tooth greatly affects surface roughness and dimensional deviation. Optimum machining parameters that give minimum values of surface roughness and dimensional deviation simultaneously was obtained using Genetic Algorithm (GA).

Estimation of Cutting Tool Wear in Turning using Taguchi Method Depending on Weight of the Removed Tool Metal

Hussam Lefta Alwan; Baraa M.H. Albaghdadi; Mohanned M. H. AL-Khafaji; Asaad Ali Abbas

Engineering and Technology Journal, 2014, Volume 32, Issue 1, Pages 24-33

This paper focuses on using Taguchi method to determine the optimum
turning parameters such as spindle speed, depth of cut, and feed rate, denoted by factor symbols A, B, and C respectively. The effect of cutting parameters on tool wear is depended on the concept of removed weight from the tool metal during machining. The material that has been used as a workpiece is high carbon steel and carbide insert DNMG 443-15 as a cutting tool. Taguchi orthogonal array L9,quality characteristic "smaller is better", and ANOVA were used to achieve the goal of the research. The results obtained showed that spindle speed is the
significant factor of the process followed by the feed rate in terms of their contribution in analysis. The optimum combination of parameters, which was found by applying Taguchi method, is that designated by A2B1C1.

Simulation and Optimization of Depropanizer Using Hysys Simulation Package

Nidhal M. Abdul Razzak Al-Azzawi

Engineering and Technology Journal, 2013, Volume 31, Issue 18, Pages 100-121

A new depropanizer is designed for the revamped petrochemical complex PC1 in Basrah. Conventional fractionation column is used to match the design of the existing plant. The feed to the new depropanizer is the bottom product of the revamped deethanizer of the ethylene plant. Hysys package (3.2) is used for the short-cut method, rigorous model and tray sizing. Different variables have been studied such as total number of stages, reflux ratio, feed location and feed temperature. The optimum number of stages is found to be (55) stages and the feed location is at tray 25th from top, with feed temperature of 32ºC. The tray layout and sizing is estimated using Hysys, all trays are forced to have the same design so that the column maintains the same diameter throughout its height.

Optimization of Al-Doura Catalytic Naphtha Reforming Process Using Genetic Algorithm

Zaidoon M. Shakoor

Engineering and Technology Journal, 2013, Volume 31, Issue 7, Pages 1276-1296

Optimization of Al-Doura catalytic naphtha reforming process was done using genetic algorithm. The objective of optimization is maximization yield of the aromatics in order to increase the octane number of reformate.
One-dimensional steady-state mathematical model was made to study the effect of feedstock composition, feed temperature, total pressure and hydrogen to hydrocarbon feed ratio on the reformate compositions. Detailed kinetic model was developed to describe the reaction kinetic, the model involving 29 components, 1 to 11 carbon atoms for n-paraffins, 5 to 10 carbon atoms for iso-paraffins and 6 to 11 carbon atom for naphthenes and aromatics with 83 reactions. Using Genetic Algorithm, 186 parameters of the proposed kinetic model were predicted depending on plant results collected over two months from Al-Doura reforming process which located in the south of Baghdad. The validity of the kinetic model was approved by comparing the results of developed kinetic model with the actual process results.
Genetic algorithm was used again to optimize the commercial reforming process depending on reformate compositions. Optimization was carried out in temperature range between 450 to 520°C; total pressure range 5 to 35 bar; hydrogen to hydrocarbon ratio 3 to 8 and by varying the percentage of catalyst for each one of four reactors. Optimization results shows that, it’s possible to increase the aromatics composition in reformate from 63.42 % in actual unit to 70.89 % by changing the design variables and operating conditions.

Optimization of liquid-liquid Extraction Column Using Genetic Algorithms

Ali D. Ali

Engineering and Technology Journal, 2012, Volume 30, Issue 10, Pages 1797-1810

In the present study, liquid-liquid extraction column was optimized using Genetic
Algorithms as a non-conventional optimization technique, which scores over
conventional techniques. Genetic Algorithm (GA) is a stochastic search technique
mimics the principle of natural genetics and natural selection to constitute search and
optimization. Genetic Algorithm is applied to the optimal design of liquid-liquid
extraction column to maximize the extraction rate using the superficial velocities of
raffinate and extract phases, (υx, υy) respectively as design variables using Matlab GA
toolbox. Different Genetic Algorithm strategies were used for optimization and the
design parameters such as Population size, crossover rate and Mutation were studied. It
was found that for constant distribution coefficient, m the convergence is obtained in a
very few generations (51 generations). The effect of distribution coefficient, m was
also studied on the optimization process and found that when increasing the
distribution coefficient the optimum extraction rate increased. The best values for υx
and υy were 0.142 and 0.059 respectively, and the objective function (maximum) was
0.2844187.

Approximate Solution of The Linear Programming Problems By Ant System Optimization

Haithem Saleem Dawood; Saad Mohsen Salman; Faiz Faig Showkat

Engineering and Technology Journal, 2009, Volume 27, Issue 16, Pages 2978-2995

In this paper we use the ant system optimization metaheuristic to find
approximate solution to the linear programming problems, we also use the duality theory to estimate how good is this approximate solution and check if it is optimal, the advantageous and disadvantageous of the suggested method also discussed focusing on the parallel computation and real time optimization, it's worth to mention here that the suggested method doesn't require any artificial variables the slack and surplus variables are enough, a test example is given at the end to show
how the method works.