Optimization of Process Parameters of Aluminum Alloy (Al-6082 T-6) Machined on CNC Lathe Machine for Low Surface Roughness

Quality of the product is the major concern in manufacturing industries from customers as well as producers point of view. There are number of factors in the product such as surface condition, height, weight, length, width etc., which may be consider for the measurement of the quality. Surface roughness and Metal Removal Rate (MRR) are the two main outcomes on which numerous researchers have applied different approaches for several years to get optimum results. In this study, Taguchi Method is applied for getting optimum parameters settings for Surface roughness and Metal Removal Rate (MRR) in case of turning AlMg3 (AA5754) in CNC Lathe machine, which is an aluminum alloy having diameter 20 mm and length 100 mm. The three parameters i.e. spindle speed, feed rate and depth of cut with 3 levels are taken as the process variables and the working ranges of these parameters for conducting experiments are selected based on Taguchi’s L9 Orthogonal Array (OA) design. To analyze the significant process parameters; main effect plots for data means and for S/N ratio are generated using Minitab statistical software.

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Optimization of Process Parameters in Plasma Arc Cutting Applying Genetic Algorithm and Fuzzy Logic

Soft Computing Techniques and Applications in Mechanical Engineering - Advances in Mechatronics and Mechanical Engineering ◽

10.4018/978-1-5225-3035-0.ch005 ◽

2018 ◽

pp. 123-139

Author(s):

Nehal Dash ◽

Apurba Kumar Roy ◽

Sanghamitra Debta ◽

Kaushik Kumar

Keyword(s):

Genetic Algorithm ◽

Surface Roughness ◽

Fuzzy Logic ◽

Process Parameters ◽

Material Removal Rate ◽

Material Removal ◽

Removal Rate ◽

Plasma Arc ◽

Plasma Arc Cutting ◽

Optimization Of Process Parameters

Plasma Arc Cutting (PAC) process is a widely used machining process in several fabrication, construction and repair work applications. Considering gas pressure, arc current and torch height as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness would be considered as factors that determines the quality, machining time and machining cost. In order to reduce the number of experiments Design of Experiments (DOE) would be carried out. In later stages applications of Genetic Algorithm (GA) and Fuzzy Logic would be used for Optimization of process parameters in Plasma Arc Cutting (PAC). The output obtained would be minimized and maximized for Surface Roughness and Material Removal Rate respectively using Genetic Algorithm (GA) and Fuzzy Logic.

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Study of the cutting process parameters that influence the surface quality machined by end milling of the aluminum alloy

MATEC Web of Conferences ◽

10.1051/matecconf/201929002010 ◽

2019 ◽

Vol 290 ◽

pp. 02010

Author(s):

Alina Bianca Pop ◽

Aurel Mihail Țîțu

Keyword(s):

Surface Roughness ◽

Industrial Organization ◽

Aluminum Alloy ◽

Process Parameters ◽

Applied Research ◽

Cutting Tool ◽

End Milling ◽

Motion Direction ◽

Experimental Planning ◽

Aeronautical Industry

This research aims to carry out an elaborate experiment by witch resulting in relevant conclusions that have practical applicability in the aeronautical industry. The surface roughness measured transversely and longitudinally on the feed motion direction of the cutting tool constitutes the dedicated objective function on which the study was conducted in this case. The end milling was chosen of an aluminum alloy used explicitly in the aeronautical industry. The actual experiments were carried out in the only aeronautical industry in Romania carrying out these types of machining and were made according to the methodology with rigorous experimental planning of the research. The experimental plan conceived after which the practical experiments were conducted led to applied research already put into practice within the above-mentioned industrial organization.

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