The purport of this experimentation was to fixate on the analysis of optimum cutting conditions to get the minimum surface roughness in CNC turning of Inconel 718 alloy steel by Taguchi method. The nine experiments were designed by utilizing Minitab17 software. In this research work all the tribulations were conducted at a constant spindle speed (2800 RPM) and in a dry environment.
The results were analyzed utilizing analysis of variance (ANOVA) method. Taguchi method has shown that cutting speed has a consequential role to play in engendering lower surface roughness followed by aliment rate. The vibrations of the implement wear, implement life are the other factors which may contribute poor surface roughness to the results and such factors ignored in analyses.
The results obtained by this research work may be subsidiary for another researcher for further study for other replications such as implement vibration, implement wear, implement life, cutting forces etc.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Taguchi's Method
- Design Of Experiment Using Taguchi Technique
- Selection of response factor
- Selection of process variables
- Process variable's level
- Experimental Design
- Design Of Orthogonal Matrix
- Expermental Details
- Experimental unit
- Properties of inconel 718 [5]
- Chemical composition [6]
- Size of work piece
- Cutting tool and tool holder
- Surface roughness measuring
- Conducting Trials
- Regression Analysis
- Optimum Surface Roughness Predicted Value Calculation
- Anova Analysis
- Results And Discussions
- Confirmation Test
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The purpose of this research was to determine the optimal cutting conditions for minimizing surface roughness during CNC turning of Inconel 718 alloy steel using the Taguchi method. The study aimed to identify the most significant process parameters affecting surface roughness and to establish a set of optimal cutting parameters for achieving the desired surface quality.
- Optimization of cutting parameters for minimizing surface roughness in CNC turning of Inconel 718 alloy steel.
- Application of the Taguchi method for experimental design and analysis.
- Identification of the most influential cutting parameters on surface roughness.
- Determination of optimal cutting conditions for achieving desired surface quality.
- Analysis of the results using ANOVA to assess the significance of the process parameters.
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: This chapter introduces the challenges of turning Nickel-based super alloys, highlighting the unique properties of Inconel 718 and the difficulties associated with machining this material. It provides context by reviewing previous research on optimizing surface properties in turning operations and identifies the gap in knowledge addressed by this study.
- Taguchi's Method: This chapter provides an overview of the Taguchi method, a widely accepted optimization technique in industry. It explains the principles behind the method, including the use of designed experiments, signal-to-noise ratio (S/N ratio), and the systematic approach to optimize designs for performance, quality, and cost.
- Design Of Experiment Using Taguchi Technique: This chapter outlines the process of designing the experiment using the Taguchi technique. It details the selection of the response factor (surface roughness), the process variables (cutting speed, feed rate, depth of cut, and nose radius), and the levels of each variable. The chapter also explains the rationale behind choosing an L9 (34) orthogonal array for the experiment.
- Expermental Details: This chapter describes the experimental setup, including the CNC turning centre used, the specifications of the machine, and the properties of the Inconel 718 material. It provides detailed information about the work piece, the cutting tool and tool holder, and the surface roughness measurement method.
- Conducting Trials: This chapter details the process of conducting the experiments based on the designed orthogonal matrix. It presents the response values (surface roughness) obtained from each trial and the corresponding S/N ratios.
Schlüsselwörter (Keywords)
This research focuses on dry turning, surface roughness, Taguchi's method, and ANOVA. The study investigates the influence of cutting speed, feed rate, depth of cut, and nose radius on surface roughness in CNC turning of Inconel 718 alloy steel. The findings can be applied to optimize cutting conditions for achieving desired surface quality in industrial settings.
- Quote paper
- Krupal Pawar (Author), 2015, Optimization and Analysis of Surface Roughness in CNC Turning Inconel 718 using Taguchi’s and ANOVA analysis, Munich, GRIN Verlag, https://www.grin.com/document/316674
