IJERT-A Method to Optimize Process Parameters of Turning (original) (raw)
Related papers
2014
This project is based upon the study which means it is derived from experiment and observation rather than theory. For the fulfilment of objective our first motive is selection of cutting tool & work tool material selection of various process and performance parameters after parameterssss selection aims to study various techniques for the optimization for that purpose literature review and industrial survey is conducted. The objective of this study was to utilize Taguchi methods to optimize surface roughness in turning mild steel, EN-8 and EN-31. The turning parameters evaluated are cutting speed of 200, 250, and 300 m/min, feed rate of 0.08, 0.12 and 0.15 mm/rev, depth of cut of 0.5 mm and tool grades of TN60, TP0500 and TT8020, each at three levels. The experiment was designed and carried out on the basis of standard L9 Taguchi orthogonal array. The results show that the Taguchi method is suitable to solve the stated problem with minimum number of trials as compared with full factorial design.
Optimization of Turning Parameters by Using Taguchi Method for Optimum Surface Finish
2014
It is well known that machining process monitoring is a crucial requirement in the successful implementation of the automated / unmanned operation of a plant. In metal cutting process, the effectiveness of cost-quality-time matrix largely depends upon the optimum selection of cutting parameters. In present approach, Taguchi method and analysis of variance (ANOVA) is employed to develop a turning process model in terms of process parameters viz. cutting speed, feed rate and depth of cut for achieving the optimum surface finish .This process model is then verified experimentally by machining EN19 material. KeywordsTaguchi method, Speed, Feed, Depth of cut, CNC machine, Surface finish, EN19 material
Optimization of Turning Process by Using Taguchi Method
Sakarya University Journal of Science, 2018
In this study, AISI 1040 steel is machined on CNC lathes. Taguchi L16 ortogonal array was used as experimental design. Experiments were carried out with selected the three cutting parameters. These parameters were determined as feed rate, cutting speed and cutting depth. Turning operation was carried out in dry conditions with diamond cutting tools. At the end of experiments, the values of surface roughness (Rz) on samples were found. Signal/Noise (S/N) rates were found with using the Taguchi method. According to the results, feed rate had the most significant effect on Rz among three factors. In ANOVA analysis, respectively feed rate, cutting depth and cutting speed are effective at 95% confidence level at Rz value. In repetition experiments carried out for parameters chosen in Taguchi prediction, it was identified that Taguchi works with nearly 94% accuracy.
Parametric optimization of cutting in turning operation using Taguchi method
2018
Modern manufacturers, seeking to remain competitive in the market, rely on their manufacturing engineers and production personnel to quickly and effectively set up manufacturing processes for new products. Taguchi Parameter Design is a powerful and efficient method for optimizing quality and performance output of manufacturing processes, thus a powerful tool for meeting this challenge. This Paper discusses an investigation into the use of Taguchi Parameter Design for optimizing surface roughness generated by a conventional lathe. Control parameters being consider in this paper are cutting speed, feed rate and depth of cut. After experimentally turning sample workpieces using the selected orthogonal array and parameters, this study expected to produce an optimum combination of controlled parameter for the surface roughness.
Optimization of Turning Parameters Using Taguchi Method
Today in manufacturing and metal industries customer satisfaction is very important to make own place in competitive market and also to make mirror image with faith in the heart of customer, because customer gives preference to buy good quality product. In the metal and manufacturing industries for the product low surface roughness is very important. Lowest surface roughness assures not only good quality but also reduces manufacturing cost. In this paper the main objective is to study effect of cutting speed, feed rate and depth of cut on surface roughness of mild steel in turning operation and as a result of that the combination of optimum level of factors was obtained to get lowest surface roughness. Experiments have been conducted using Taguchi’s experimental design technique. An orthogonal array, signal to noise ratio, and analysis of variance are employed to investigate cutting characteristics of mild steel using high speed steel. Experimental results show that among the cutting parameter cutting speed is the most significant machining parameter for surface roughness followed by feed rate and depth of cut.
In the modern high-tech world the accuracy and finishing of a job are very important. In the present study the control parameters of a cast iron specimen undergoing turning operation are optimized so as to obtain minimum surface roughness. The parameters most responsible for surface roughness are identified and their working ranges are set. These parameters are spindle speed, feed rate and depth of cut. Experiments are conducted using parameter combinations obtained by Taguchi's L-9 orthogonal array and corresponding surface roughness are noted. S/N ratio calculations are done to find the significance order of the control parameters. Next analysis of variance (ANOVA) verifies the working ranges of the control parameters and their order of significance.
IJERT-Comparison and Optimization of Machining Parameters by using Taguchi Method
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/comparison-and-optimization-of-machining-parameters-by-using-taguchi-method https://www.ijert.org/research/comparison-and-optimization-of-machining-parameters-by-using-taguchi-method-IJERTV3IS081061.pdf In this study, three different conditions of cutting fluids viz. dry, synthetic oil and vegetable based coconut oil cutting fluids were used to determine optimum conditions for cutting force, tool chip inter face temperature, material removal rate and surface roughness. Taguchi L9 orthogonal array design of experiment was used for the experiment plan. Cutting speed, feed rate, depth of cut and coconut oil based cutting fluid were considered as machining parameters. Response tables and main effects plots ratios were used to analyze the results. The optimum values were calculated by using regression equations and were found to be cutting force (fx)-27.93 kgf, cutting force (fy)-34 kgf, tool inter face temperature-42.28 0 C , material removal rate-0.1175 gms/sec and surface roughness was 29.03 µ .
Materials & Design, 2007
Nickel-base superalloy Inconel 718 is a high-strength, thermal-resistant. Because of its excellent mechanical properties, it plays an important part in recent years in aerospace, petroleum and nuclear energy industries. Due to the extreme toughness and work hardening characteristic of the alloy, the problem of machining Inconel 718 is one of ever-increasing magnitude. This investigation optimized the machining characteristics of Inconel 718 bars using tungsten carbide and cermet cutting tools. The approach is based on Taguchi method, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA) are employed to study the performance characteristics in turning operations. The roundness and flank wear of the ultrasonically and conventionally machined workpieces were measured and compared.
Application of Taguchi Method for Optimizing Turning Process by the effects of Machining Parameters
This paper reports on an optimization of turning process by the effects of machining parameters applying Taguchi methods to improve the quality of manufactured goods, and engineering development of designs for studying variation. EN24 steel is used as the work piece material for carrying out the experimentation to optimize the Material Removal Rate. The bars used are of diameter 44mm and length 60mm. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut.
Surface quality is one of the specified customer requirements for machined parts. There are many parameters that have an effect on surface roughness, but those are difficult to quantify adequately. In finish turning operation many parameters such as cutting speed, feed rate, and depth of cut are known to have a large impact on surface quality. In order to enable manufacturers to maximize their gains from utilizing hard turning, an accurate model of the process must be constructed. Several statistical modeling techniques have been used to generate models including regression and Taguchi methods. In this study, an attempt has been made to generate a surface roughness prediction model and optimize the process parameters Genetic algorithms (GA). Future directions and implications for manufacturers in regard to generation of an robust and efficient machining process model is discussed.