Parametric Optimization on single objective Dry Turning using Taguchi Method
نویسنده
چکیده
ABSTRACT The objective of this investigation is to obtain an optimal setting of process parameters in turning for maximizing the material removal rate of the manufactured component. The material removal rate has been investigated in this analysis while machining practically used components. As per Taguchi’s “Design of Experiments”, the number of experiments to be conducted in this analysis is calculated, and the turning operations are performed as per the machining conditions shown in the orthogonal array. The data for calculating material removal rate in all the test conditions are observed and recorded. The result of this analysis identifies the optimal values of process parameters for effective and efficient machining. ANOVA has been carried out to find the percentage of each process parameter on response characteristic i.e, MRR. .
منابع مشابه
Using Gray Relational Analysis and Taguchi Technique in Solving Multi-objective Problems for Turning Operation of Austenitic Stainless Steel
In this study, the application of gray relational analysis (GRA) and Taguchi method in multi-criteria process parameters selection of turning operation has been investigated. The process responses under study are material removal rate (MRR) and surface roughness (SR); in turn, the input parameters include cutting speed, feed rate, depth of cut and nose radius of the cutting tool. The proposed a...
متن کاملParametric optimization of cylindrical grinding process through hybrid Taguchi method and RSM approach using genetic algorithm
The present investigation proposes a hybrid technique: Taguchi method, response surface methodology (RSM) and genetic algorithm (GA), to analyze, model and predict vibration and surface roughness in traverse cut cylindrical grinding of aluminum alloy. Experiments have been conducted as per L9 orthogonal array of Taguchi methodology using several levels of the grinding parameters. Analysis of va...
متن کاملOptimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System
Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...
متن کاملEXPERIMENTAL ANALYSIS OF CNC TURNING OF NYLON USING TAGUCHI METHOD
Manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. The material removal rate is a significant indicator of the productivity and cost efficiency of the process. Taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...
متن کاملMulti-objective optimization in Turning of EN31 steel using Taguchi based grey relational analysis
Machining can be outlined as the process of taking away material from a work piece in the grade of chips. During a machining process, isolated of the energy is turned into heat energy through the detritions yielded between the tool and the work piece and the plastic deformation of the work material in the machining zone. Turning is charmed by several constituents, for example, the cutting speed...
متن کامل