Abstract
Oblique metal cutting is a milling process which constitutes the work piece, tool piece, machine centre and the machinist or operator. This research has been able to obtain some responses such as tool life, and the surface roughness. Most machine elements fail due to some poor surface finish errors such as craters, waviness, flay and lay. Previous researchers have focused more on the absolute value of the surface roughness (Ra) and this cannot provide for all the errors encountered on surface texture. The primary aim of this research is to develop models that can predict the surface roughness of machine parts produced in oblique metal cutting above the absolute value of the average surface roughness and in turn provide a document or framework for machinist which can serve as a guide for machinist. The work has been able to determine a near perfect surface roughness for mild steel using coated carbide as tool piece as the models developed has minimized the effect of surface roughness at run 6, 6 and 8 for Ra, Rz and maximized TL in the values of 1.071408 micrometer, 2.668293 micrometer and 49837238 seconds respectively. Also. the analysis of variance performed has also shown that is proper to accept the analysis using a significance α level of 0.05.
Highlights
Oblique metal cutting is a milling process which constitutes the work piece, tool piece, machine centre and the machinist or operator
The paucity of information of determining surface roughness above the absolute average (Ra) has hindered the development of the machine tool industry especially in developing countries, this research will proctor responses from oblique metal cutting processes in oblique metal cutting procedures, no economy can industrial in the manufacturing industry, as this research tries to fill that gap in areas of the surface roughness above the absolute average (Ra) to the extent of determining Rz, and the experimental response (TL) while obtaining the machine time and tool life with relations to the tool life equation (3)
The capacitive displacement sensor (CCDS) was installed at the quill of a spindle and the sensing was not disturbed by the cutting established a procedure for predicting. [5] proposed the genetic programming approach to predict surface roughness based on cutting parameters and on vibrations between cutting tool and work piece
Summary
Oblique metal cutting is a milling process which constitutes the work piece, tool piece, machine centre and the machinist or operator. [5] proposed the genetic programming approach to predict surface roughness based on cutting parameters (spindle speed, feed rate and depth of cute) and on vibrations between cutting tool and work piece. From this research, they were able to conclude that the models that involve the three cutting parameters and vibrating, generates the most concise predictions of surface roughness by using genetic programming. [8] studied the effect of cutting parameters on surface roughness in turning of titanium alloys using RSM Their results reveal that the feed rate was the most influential factor which affects the surface roughness. This research work has tried to obtain six responses form the experiment performed thereby to predict a more robust surface roughness of the machined part the six responses were investigated thoroughly in other to bring a better understanding of the subject matter
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