Open Access Open Access  Restricted Access Subscription or Fee Access

Machinability Studies of Chrome Steel in Turning Operation: An Experimental Investigation

N. S. NARAHARI, Shruthi M.N.

Abstract


Studies on Machinability aspects are important from the standpoint of optimizing the parameters setting during the machining operations. This paper adds value to the knowledge base of machinability aspects. A report on the experimental investigation conducted, to study the effects of machining parameters on Surface Finish and Material Removal Rate (MRR) during the turning operation is presented. The current experimentation was carried out using two grades of chrome steel namely 100Cr6 and 20MnCr5, which differs in their carbon and chromium content. The study also included investigation on the effect of coolant on the quality of the Surface Finish. In the current experimentation studies the factors that were investigated includes depth of cut, feed rate, cutting speed and coolant proportion. “Surf Test” equipment with a precision of 0.01 µm was used for measuring Surface Roughness; the MRR was estimated based on parameters set during the turning operations. Factor level combination to be investigated were based on Taguchi’s L9 Orthogonal array and later ANOVA analysis was carried out using statistical software platform namely Minitab version 17. The final outcome from the study indicated that feed rate and coolant proportions significantly influenced the Surface Finish and MRR. ANOVA analysis revealed the percentage contribution of each of the parameter towards the response. Finally, when comparisons were drawn between two grades of chrome steel, it was found that 100Cr6 gave a better Surface Finish compared to 20MnCr5. This paper effectively combines the insights from the machinability studies with statistical evidence obtained through analysis of the outputs from experimental investigation on different materials processed using machining operations.


Full Text:

PDF

References


Mihir Patel, Optimization of Machining Parameters for Turning Different Alloy Steel Using CNC – Review. Int J Innovative Res Sci Eng Technol. February 2014; 3(2): ISSN: 2319–8753.

Amran MA, Salmah S, Hussein NIS, et al. Effects of Machine Parameters on Surface Roughness Using Response Surface Method in Drilling Process, International Tribology Conference, Procedia Engineering, Science Direct, Malaysia 2013; 68: 24–29p.

Somashekhara HM, Optimization of Surface Roughness in Turning Operation Using Taguchi Technique and Anova, Int J Eng Sci Technol. (IJEST), May 2012; 4(5): ISSN: 0975–5462.

Rangilal Bhukya, CSP Rao, Rao GV. Evaluation and comparison of Machinability characteristics of Maraging, 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) IIT Guwahati, Assam, India, Steel and AISI 304 Steels, December 12th –14th, 2014, 473(1)–473(6)p.

Abhang LB, Hameedullh, A Study of Chip Tool Interface Temperature Prediction Model of Turning Process. Int J Eng Sci Technol. 2010; 2(4): 382–393p.

Das SR, Nayak RP, Dhupal D, Optimization of Cutting Parameters on Tool Wear and Work piece Surface Temperature in Turning AISI D2 Steel, Int J Lean Thinking. December 2012; 3(2): 140–156p.

Mahendra Korat, Neeraj Agarwal, Optimization of Different Machining Parameters of En24 Alloy Steel in CNC Turning by Use of Taguchi Method. Int J Eng Res Appl (IJERA). September-October 2012; 2(5): 160–164p, ISSN: 2248–9622.

Shunmugesh K, Optimization of CNC Turning Parameters with Carbide Tool for Surface Roughness Analysis Using Taguchi Analysis, Res J Eng Sci. June 2014; 3(6): 1–7p. ISSN 2278 – 472.

Jayesh M. Patel, Paawan Pancha, Parametric Analysis of Dry and Wet Turning on CNC Lathe using Design of Experiment, Int J Technol Res Eng. May 2014; 1(9): ISSN (Online): 2347–4718.

Vipindas MP, Taguchi-Based Optimization of Surface Roughness in CNC Turning Operation, Int J Latest T Eng Technol (IJLTET). July 2013; 2(4): ISSN: 2278-621X.

Manan Kulshreshtha, Analysis of the Effect of Machining Parameters on Surface Roughness of En 36 Nickel Steel. Int J Adv Inform Sci Technol (IJAIST). August 2013; 16(16): ISSN: 2319:2682.

Nikund R Modh, Gd Mistry, An Experimental Investigation to Optimize the Process Parameters of Aisi 52100 Steel in Hot Machining. Int J Eng Res Appl (IJERA). 1(3): 483–489p.

Rony Mohan, Josephkunju Paul C, Issac Thamban, Optimization of Tool Wear during High Speed Hard Turning of AISI 52100 Steel Alloys, Int J Eng Trend Technol (IJETT), Nov 2014; 17(4): 170–172p. ISSN: 2231–538

Abuthakeer SS, Mohanram PV, Mohan Kumar G, Prediction and Control of Cutting Tool Vibration in CNC Lathe With Anova, Int J Lean Thinking. June 2011; 2(1): 1–23p.

Anand S. Shivade, Shivraj Bhagat, Optimization of Machining Parameters for Turning Using Taguchi Approach, Int J Recent Technol Eng (IJRTE), March 2014; 3(1): ISSN: 2277–3878.

Jakhale Prashant P, Optimization of Surface Roughness of Alloy Steel by Changing Operational Parameters and Insert Geometry in the Turning Process, Int J Adv Eng Res Studies. July-Sept 2013; II/ IV: 17–21p.

Ashish Bhateja, Optimization of Different Performance Parameters I.E. Surface Roughness, Tool Wear Rate & Material Removal Rate with the Selection of Various Process Parameters Such as Speed Rate, Feed Rate, Specimen Wear, Depth of Cut in CNC Turning of En24 Alloy Steel – An Empirical Approach, Int J Eng Sci (IJES). 2013; 2(1): 103–113p. ISSN: 2319 – 1813 ISBN(P): 2319 – 1805.

Senthilkumar VS, Simulation Optimization of Process Parameters in Composite Drilling Process Using Multiobjective Evolutionary Algorithm, International Conference on Advances in Recent Technologies in Communication and Computing, 2009.

Yogendra Tyagi, Vedansh Chaturvedi, Parametric Optimization of CNC Drilling Machine for Mild Steel Using Taguchi Design and Single To Noise Ratio Analysis, Int J Eng Sci Technol. (IJEST). August 2012; 4(8): ISSN: 0975–5462.

Godfrey C. Onwubolu, Response Surface Methodology-Based Approach to Cnc Drilling Operations, J Mater Process Technol. June 2005; 171(1): 41–47p. ISSN 0924–0136.

Amran MA, Salmaha S, Effects of Machine Parameters on Surface Roughness Using Response Surface Method In Drilling Process, International Tribology Conference Malaysia, Procedia Engineering, Science Direct. 2013; 903: 61–66p.

Kumbhar YB, Tool Life and Surface Roughness Optimization of Pvd Tialn/Tin Multilayer Coated Carbide Inserts in Semi Hard Turning of Hardened En31 Alloy Steel Under Dry Cutting Conditions, Int J Adv Eng Res Studies. July-Sept-2013; II/ IV: 22–27p. E-ISSN2249–8974.

Subhajit Dangar, Optimization of Cutting Parameters for Improving Surface Roughness in Turning Operation using Taguchi Method and ANOVA, IJRET: Int J Res Eng Technol. Jun-2014; 03(06): 620–623p, eISSN: 2319–1163 pISSN: 2321–7308.

Kanase Tanaji S, Enhancement of Surface Finish for CNC turning Cutting Parameters by Using Taguchi Method, Indian J Res. June 2013; 3(5): 88–91p. ISSN – 2250–1991.

Derakhshan ED, Akbari AA, Experimental Investigation on the Effect of Workpiece Hardness and Cutting Speed on Surface Roughness in Hard Turning With CBN Tools, Proceedings of the World Congress on Engineering, Vol II, London, U.K, 2009.

Berube J, Signal to Noise Ratio and Related Measures in Parameter Design Optimization: An Overview, Indian J Statistics. 2000; 62(3): 417–432p.




DOI: https://doi.org/10.3759/joise.v3i2.3519

Refbacks

  • There are currently no refbacks.