Multi-objective Optimization of Ms58 Brass Machining Operation by Multi-axis CNC Lathe
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RESEARCH ARTICLE-MECHANICAL ENGINEERING
Multi-objective Optimization of Ms58 Brass Machining Operation by Multi-axis CNC Lathe Ömer Seçgin1 Received: 4 April 2020 / Accepted: 23 September 2020 © King Fahd University of Petroleum & Minerals 2020
Abstract Brass materials are widely used in many fields of machinery, especially plumbing applications. Parts produced from brass are processed in lathes or milling machines during the manufacturing phase. In this study, 6-corner pieces were produced by machining the MS58 brass alloy on the C-axis lathe with an end mill. As machining parameters, tool diameter, feedrate and rotation speed were selected. The effects of these parameters on average surface roughness (Ra), cutting time (t) and dimensional deviation (dev) were determined by the surface response method. Regression equations were created separately for surface roughness, cutting time and dimensional deviation. Later, parameter levels that optimize all three dependent variables together were obtained by grey relationship analysis. It was determined that the most effective parameter on surface roughness and dimensional deviation is the tool diameter. The most effective parameter on cutting time was found to be feedrate. The best combination of machining parameters was 10 mm tool diameter, 150 mm/min feedrate and 1000 rev/min rotation speed. The selection of parameters depends on the requirements based on better surface roughness, minimum cutting time, minimum dimensional deviation. Parameter levels that optimize surface roughness only are 10 mm tool diameter, 50 mm/min feedrate and 1000 rev/min rotation speed. Parameter levels that optimize cutting time only are 8 mm tool diameter, 143 mm/min feedrate and 1525 rev/min rotation speed. Parameter levels that optimize cutting time only: 10.31 mm tool diameter, 50 mm/min feedrate and 1000 rev/min rotation speed. Keywords Brass · Grey relationship analysis · Machining · Multi-objective optimization · Lathe
1 Introduction Depending on the quality and customer needs, quality production is the main target that the manufacturing industry tries to achieve [1]. In this context, the use of effective methods and practices in manufacturing processes is an important consideration for all businesses. Machining (cutting), one of these production methods, is widely used in the machinery manufacturing industry. Machining is the process of removing unwanted chips through the workpiece to achieve the desired shape within the desired tolerance limits [2]. In parallel with the developments in computer technology, with the developments in CAD/CAM technology, more complex and more complex parts can be produced with the help of CNC machines [3]. When it comes to precision, surface roughness
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Ömer Seçgin [email protected]
and geometric accuracy are indicated. The precision of the parts to be produced is greatly influenced by the selected process parameters [4]. The performance of metal cutting operations can be influenced by various parameters such as the geometry of the cutting to
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