No full-text available
To read the full-text of this research,
you can request a copy directly from the author.
Study of Cutting Parameters on Turning using EN9
Abstract
Study is one of the prime requirements of industries for machined parts. The present paper presents an experimental study to investigate the effects of cutting parameters like spindle speed, feed and depth of cut on hardness of EN-9. Using Infrared thermometer. We find out feed having maximum effects on surface temperature.
... They can change the tool life and material removal rate, which lead to poor machining if not good selected. The cutting conditions such as feed, speed and depth of cut have an effect on the finishing and cutting force [11,12,13]. ...
In this paper, quenching and tempering effects on the machining conditions of medium carbon steel were investigated. The samples were quenched in a saltwater and polymer solution after heated to austenitizing temperature at 870°C, then, the tempering process of the samples were conducted to reduce internal stresses and hardness. In the tempering process the samples were heated again to 400°C with a soaking time was one hour, so cooled in still air. So the samples were machined by lathe machine with selected cutting conditions. The results appeared the effect of heat treatments on hardness, surface finishing, cutting force and microstructure that were evaluated before and after heat treatment with various cutting conditions.
... They can alter the material removal rate, tool wear and lead to poor surface finishing if not properly selected for that work. The feed and depth of cut (DOC) have an effect on the cutting force and surface roughness, but no significant influence on cutting speed ( [5], [6], [7]). ...
The current study shows the effect of various heat treatments on the cutting force and surface finishing of
machining for medium carbon steel (0.522C) with different cutting conditions have been investigated. In this research,
samples have been divided into two groups. Samples of the first group were heated to austenitizing temperature and
quenched in a polymer solution (Polyethylene glycol M. W.400), followed by tempering. Tempering process is to reduce
brittleness and relieve residual stresses. In this treatment, the samples were heated again to 450○C, held for one hour at
that temperature (soaking stage), then cooled in still air. Samples of the second group were heated to austenitizing
temperature and cooled by air (normalizing process). The cutting force and other properties were evaluated before and
after heat treatment. The results showed a direct effect of heat treatments on cutting force and machinability.
In other words, a correlation between the machinability and the heat treatment of specimens was established.
... The cutting performance could be effectively sensed and controlled by the work piece surface temperature [24][25]. During EN-9 steel turning the work piece surface temperature was significantly affected by feed followed by cutting speed and depth of cut [26]. The purpose of this study was to obtain the optimum cutting conditions (the cutting speed, the feed rate, depth of cut) for minimizing the surface roughness, Machining forces and work piece surface temperature when hard turning of AISI 52100 steel with PCBN tool. ...
In this study, multi-objective optimization for a hard turning of AISI 52100 steel has been presented to provide optimum surface quality, Machining force and work piece surface temperature. Cutting speed, feed, depth of cut and Nose radius are considered as input parameters. Experiments are conducted as per Taguchi L9 orthogonal array. The Parametric investigation is carried out for identifying the effect of input parameters on the response using MINITAB14 software package. Further, multi objective optimization is performed with Grey Relational Analysis (GRA) coupled with Principle Component Analysis (PCA). Results demonstrated that nose radius is the most significant factor affecting the response followed by feed, depth of cut and speed. The optimum cutting parameters obtained are cutting speed 900 rpm, feed rate 0.04 mm/rev, depth of cut 0.6 mm and Nose radius 0.8 mm.
As steel continues to expand its current range with stronger, more ductile automotive brands, automakers are turning their attention to this. The future of vehicle weight reduction does not require a shift to alternative material systems and a complete overhaul of existing manufacturing infrastructure. When it comes to enhancing surface quality and dimensional accuracy in hardened steel, hard turning technology has been shown to be quite effective. In order to do this, it is employed in some important aviation components where the material hardness surpasses 45 HRC, such as 300 M ultra high strength steel, for finishing operations. In this context, this study focuses on optimizing cutting conditions in hard turning to reduce surface roughness, roundness, energy consumption, tool wear, and increase MRR. To this end, an experimental design (DoE) is used to study the effect of specimens with processing conditions such as cryogenic, heat-treated and obtained, cutting speed (V), feed rate (f), depth of cut (D), and heat treatment for hard turning. The L9 orthogonal matrix was performed using multiple response gray-relational analysis (GRA), and ANOVA was performed with individual characteristics and their effects.
The quality of surface finish in turning is an important requirement since mechanical failure of engineering materials starts at the surface. To optimizing cutting parameters is very important to get high surface finish that reduce mechanical failures caused by wear, corrosion and any other factors as well. Increasing productivity of machining is another factor, in this research project double tool turning on AISI 1045 steel material was conducted. A ceramics inserted cutting tool was used and economical comparison of dry and wet machining were also investigated showing that dry machining was effective to reduce additional machining costs regardless of surface finish under cutting fluid. In both cases investigation on surface finish, material removal rate, tooltip temperature was analyzed in detail. Optimization of cutting parameters was made using Taguchi L9 orthogonal array design of the experiments. Analysis of Variance (ANOVA) was also determined for both machining conditions. The results obtained were high contribution of cutting speed, feed, first depth of cut and second depth of cut were 72.57%, 23.02%, 2.8% and 1.6% respectively. During wet machining percentage contribution of cutting speed, feed, first depth of cut and second depth of cut were 49%, 21.5%, 9.8% and 19.6% respectively. Among the cutting parameters; cutting speed was the most significant factor for improving surface roughness in both cutting conditions. The lowest surface roughness attained for optimum cutting parameter was 1.02µm in dry turning conditions and 0.81µm for wet turning conditions. The results showed that in wet machining, a maximum of 38.1 %, and a minimum 3.9 % reductions were investigated in surface roughness when compared with dry machining. This reveals that wet machining improved the surface finished during double tool turning operations. Material removal rate was high due to double tool turning implemented.
ResearchGate has not been able to resolve any references for this publication.