A Review on Optimization and Analysis Techniques in Machining

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.

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.

Wichmann Verlag, 2020

INCONEL 718 steel for turning and drilling process is used to identify the best cutting parameters using Taguchi's and Analysis of Variance (ANOVA) methods. Optimization of cutting parameters in turning and drilling operations is analyzed in this study. The surface roughness (Rt) of the material decrease with the extension in shaft speed from 225 to 450 rpm. Surface roughness (Rt) immediately extended with the extension in the feed rate from 0.104 to 0.315mm/rev. The parameters of mild steel for optimal tool wear are observed as 450 rpm of speed, 0.104 mm/rev of feed rate, and 5 mm of hole depth. The specific speed of 2500 rpm, the surface roughness is less and at 0.8 mm DOC, the point of trial and anticipated qualities indicated most extreme at speed of 2500 rpm.

Engineering and Technology Journal

This paper focuses on using Taguchi method to determine the optimum turning parameters such as spindle speed, depth of cut, and feed rate, denoted by factor symbols A, B, and C respectively. The effect of cutting parameters on tool wear is depended on the concept of removed weight from the tool metal during machining. The material that has been used as a workpiece is high carbon steel and carbide insert DNMG 443-15 as a cutting tool. Taguchi orthogonal array L 9 , quality characteristic "smaller is better", and ANOVA were used to achieve the goal of the research. The results obtained showed that spindle speed is the significant factor of the process followed by the feed rate in terms of their contribution in analysis. The optimum combination of parameters, which was found by applying Taguchi method, is that designated by A 2 B 1 C 1 .

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

International Journal for Simulation and Multidisciplinary Design Optimization, 2017

The effects of cutting tool coating material and cutting speed on cutting forces and surface roughness were investigated by Taguchi experimental design. Main cutting force, F z is considered as a criterion. The effects of machining parameters were investigated using Taguchi L 18 orthogonal array. Optimal cutting conditions were determined using the signal-to-noise (S/N) ratio which is calculated for average surface roughness and cutting force according to the ''the smaller is better'' approach. Using results of analysis of variance (ANOVA) and signal-to-noise (S/N) ratio, effects of parameters on both average surface roughness and cutting forces were statistically investigated. It was observed that feed rate and cutting speed had higher effect on cutting force in Hastelloy X, while the feed rate and cutting tool had higher effect on cutting force in Inconel 625. According to average surface roughness the cutting tool and feed rate had higher effect in Hastelloy X and Inconel 625.

2013

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.

This paper investigates the parameters affecting the roughness of surfaces produced in the turning process for the various materials studied by researchers. Design of experiments were conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness. The results of the machining experiments were used to characterize the main factors affecting surface roughness by the Analysis of Variance (ANOVA) method Taguchi‟s parametric design is the effective tool for robust design it offers a simple and systematic qualitative optimal design to a relatively low cost. The Taguchi method of off-line (Engineering) quality control encompasses all stages of product/process development. However the key element for achieving high quality at low cost is Design of Experiments (DOE). In this paper Taguchi‟s (DOE) approach used by many researchers to analyze the effect of process parameters like cutting speed, feed, and depth of cut on Surface Roughness and to obtain an optimal setting of these parameters that may result in good surface finish, has been discussed.

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.

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.