Analysis of Surface Roughness and Material Removal Rate in Engine Valve Turning Operation of Material SUH3

Authors

  • P. S. Patil Post Graduate Student, Department of Mechanical Engineering, Deogiri Institute of Engineering and Management Studies, Aurangabad, , Maharashtra, India
  • R. H. Shinde Assistant Professor, Department of Mechanical Engineering, Deogiri Institute of Engineering and Management Studies, Aurangabad, Maharashtra, India
  • S. Sharma Assistant Manager, Department of Metallurgy, Volvo Eicher Commercial Vehicles ltd., Dewas, Madhya Pradesh, India

Keywords:

Dry machining, Material removal rate, Surface roughness, RSM, Analysis of variance

Abstract

The purpose of this paper is to present an experimental work attempting to optimize the influencing
process parameters involved in dry machining of the exhaust engine valve of material martensitic
stainless steel grade SUH3. Looking at available literature it is observed that a lot of work can be done
in the field dry machining related to surface integrity but no work can be reported on investigation
implementation of dry machining in engine valve manufacturing of martensitic stainless-steel of grade
SUH3. In this work Aluminum Tin Nitride (AlTiN) coated carbide cutting tool is used for machining
operation in dry condition.AlTiN coated carbide cutting tool best suitable for dry machining operation
to achieve the required output measure. The experiments were carried out on experimental set up
developed in machine shop. Response surface methodology (RSM), employing a Box–Behnken design
for three design variables such as cutting speed(vc), feed(f), depth of cut (ap) was used to assess the
process performance with the help of 15 experimental run. Minitab 17 soft wear is used in the
experiment for set up of experimental trial. In this experiment Analysis of variance (ANOVA) is used
for checking the consistency of the cutting parameters. Regression based models for the response
outputs were obtained and residual plots is used as graphical representation of analysis done during
experimentation which show the effect of cutting parameters like cutting speed, cutting feed and depth
of cut with the help of various residual plots.

References

Abhang LB, Hameedullah M. Optimal machining parameters for achieving the desired surface

roughness in turning of steel. The Journal of Engineering Research [TJER]. 2012;9(1):37-45.

Qehaja N, Jakupi K, Bunjaku A, et al. Effect of machining parameters and machining time on

surface roughness in dry turning process. Procedia Engineering. 2015;100:135-40..

Venkatesan K, Thakur A. A Comparative Study on Machinability Characteristics In Dry Machining

Of Nimonic 263 Alloy Using Coated Carbide Inserts. Materials Today: Proceedings.

;5(5):12443-52.

Qehaja N, Zhujani F, Abdullahu F. Mathematical model determination for surface roughness

during CNC end milling operation on 42CRM04 hardened steel. International Journal of

Mechanical Engineering and Technology (IJMET). 2018;9(1):624-32.

Sastry MN, Devi KD, Reddy KM. Analysis and optimization of machining process parameters using

design of experiments. Industrial Engineering Letters. 2012;2(9):23-32.

Tebassi H, Yallese M, Khettabi R, et al. Multi-objective optimization of surface roughness, cutting

forces, productivity and Power consumption when turning of Inconel 718. International Journal of

Industrial Engineering Computations. 2016;7(1):111-34.

Gaitonde VN, Karnik SR, Figueira L et al. . Machinability investigations in hard turning of AISI

D2 cold work tool steel with conventional and wiper ceramic inserts. International Journal of

Refractory Metals and Hard Materials. 2009;27(4):754-63..

Maran JP, Manikandan S, Thirugnanasambandham K, Nivetha CV, Dinesh R. Box–Behnken

design based statistical modeling for ultrasound-assisted extraction of corn silk polysaccharide.

Carbohydrate polymers. 2013;92(1):604-11.

Maran JP, Mekala V, Manikandan S. Modeling and optimization of ultrasound-assisted extraction

of polysaccharide from Cucurbita moschata. Carbohydrate polymers. 2013;92(2):2018-26.

Shinde R, Patil N, Raut D, et al. Experimental investigations into powder-mixed electrical

discharge machining (PMEDM) of HCHCR D2 die steel. InInternational Conference on

Communication and Signal Processing(ICCASP). ). Atlantis Press; 2016;298-303.

Downloads

Published

2021-05-06

Issue

Vol. 8 No. 1 (2021)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.