Effects of machining parameters on dry turning operation of Nickel 200 alloy

• Published in: International journal on interactive design and manufacturing 2024-10, Vol.18 (8), p.6023-6038
• Main Authors: Sureshkumar, B., Navaneethakrishnan, G., Panchal, Hitesh, Manjunathan, A., Prakash, Chander, Shinde, Tarang, Mutalikdesai, Sachin, Prajapati, V. V.
• Format: Article
• Language: English
• Subjects: Alloys; Aluminum; CAE) and Design; Carbide tools; Chemical process industries; Computer-Aided Engineering (CAD; Corrosion effects; Corrosion rate; Corrosion resistance; Corrosion resistant alloys; Cutting fluids; Dependent variables; Dry machining; Electronics and Microelectronics; Engineering; Engineering Design; Factorial design; Feed rate; Independent variables; Industrial Design; Instrumentation; Manufacturing; Material removal rate (machining); Mechanical Engineering; Nickel; Nickel alloys; Original Paper; Process parameters; Process planning; Regression analysis; Regression models; Response surface methodology; Spindles; Surface roughness; Taguchi methods; Turning (machining); Variance analysis
• ISSN: 1955-2513; 1955-2505
• DOI: 10.1007/s12008-023-01442-1

Dry machining without cutting fluid is becoming increasingly popular, considering the environmental and health problems related to their use in conventional machining. Nickel 200 alloy material is highly corrosion-resistant with alkaline salt and neutral solutions, and aerospace and chemical processing industries use it. The main aim of this work is to investigate the effect of the turning parameters such as spindle speed, feed rate, and depth of cut on surface roughness, material removal rate, force, and temperature in dry turning operation on Nickel alloy 200 with Carbide CA6515 tool material. The design of Experiment (DOE) concept was utilized to plan the experimental runs via full factorial design. The response surface methodology is used to conduct the experiments with three levels of independent variables: spindle speed, feed rate, and depth of cut. The significant independent variable and interactions of independent variables are identified through the ANOVA table. Consequently, the relationship between independent and dependent variables is framed with regression analysis. Surface roughness and the rate of material removal in the machining of Nickel 200 alloy are affected by the spindle speed and depth of cut. The surface roughness value is the smallest when the federate level and the depth of cut are both minimal. Finally, the developed regression models were validated with experimental results. The validation results show that the developed regression models found good agreement with experimental results.