Optimization of Cutting Parameters in High Speed Turning by Grey Relational Analysis

نویسندگان

  • Upinder kumar
  • Deepak Narang
چکیده

Medium Carbon Steel AISI 1045 has a wide variety of applications in vehicle component parts & machine building industry. Surface roughness and Material Removal Rate are the main quality functions in high speed turning of medium carbon steel in dry conditions. In this study, the optimization of two response parameters (Surface roughness and Material Removal Rate) by three machining parameters (cutting speed, feed rate and depth of cut) is investigated in high speed turning of H13 in dry conditions. Taguchi’s L’9 orthogonal array and analysis of variance (ANOVA) are used for individual optimization. The simultaneous optimization is done by Grey Relational Analysis approach. The different levels of all machining parameters are used and experiments are done on HMT STALLION-100 HS CNC lathe machine. Material Removal Rate is investigated. The optimum condition for combined effects was found V2-F1-D3 and the optimal value of the surface roughness (Ra) comes out to be 1.007 (μm) and of MRR is 465.08 (mm3/sec). The optimum results are also verified with the help of confirmation experiments.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimizing turning operation of St37 steel using grey relational analysis

Nowadays, in order to reach minimum production cost in machining operations, various optimization methods have been proposed. Since turning operation has different parameters affecting the workpiece quality, it was selected as a complicated manufacturing method in this paper. To reach sufficient quality, all influencing parameters such as cutting speed, federate, depth of cut and tool rake angl...

متن کامل

Multi-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

Optimization of gas metal arcwelding parameters of SS304 austenitic steel by Taguchi –Grey relational analysis

This study investigated the optimization of three welding parameters (wire feed speed, arc voltage, and shielding gas flow rate) for SS 304H by using Taguchi based Grey relational analysis. In this research work, pure argon was used as shielding gas. Numbers of trials were performed as per L16 (4xx3) orthogonal array design and the mechanical quality such ultimate tensile strength, microhardnes...

متن کامل

Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis

Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance characteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of g...

متن کامل

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 کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013