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Title
Abstract
Introduction
Processes for Removing Various Materials
Benefits of Material Removal
Conclusion
References
All Topics
Engineering
Mechanical Engineering

An overview of material removal processes and its importance

Profile image of Henry OmietimiHenry Omietimi

E3S Web of Conferences

https://doi.org/10.1051/E3SCONF/202339101077
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Abstract

Good surface finishing, quality, and maximizing metal removal are characteristics feature of machining operation. The process variables affect the product’s surface roughness and rate of metal removal. Proper management of the process variables makes it easier to lower machining costs and enhance product quality. In order to get the best product, extensive research has been done previously to optimize the procedure specifications in any machining process. This paper studies how important the material removal process is, its benefits, and its relevancy in the manufacturing industries. The most recent turning process research uses the Response Surface Methodology (RMS). Process variables including feed, cutting speed, and depth of cut work well. In most circumstances, a technical need for mechanical products, the surface profile, and the roughness of a machined workpiece are two of the most significant product quality features. The necessary surface quality must be obtained for a part...

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Optimization of Process Parameters in Turning Operation Using Response Surface Methodology: A Review
Dr. Ranganath M Singari, Professor

The parameters affecting the roughness of surfaces produced in the turning process for various materials have been studied by many researchers. Design of experiments were conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness. The results of the machining experiments were used to characterize the main factors affecting surface roughness by the DOE techniques like Taguchi, Full factorial, Response Surface Methodology and other methods. The key element for achieving high quality at low cost is Design of Experiments (DOE). Response surface methodology (RSM) is an effective tool for robust design, it offers a simple and systematic qualitative optimal design to a relatively low cost. In this paper RSM, an approach of DOE used by various researchers to analyze the effect of process parameters like cutting speed, feed, and depth of cut on Surface Roughness of work material while machining with various tools and to obtain an optimal setting of these parameters that may result in good surface finish have been discussed.

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Influence of Cutting Parameters on Cutting Force and Surface Finish in Turning Operation
Srihari Palli

Procedia Engineering, 2013

One of the greatest problems of modern production techniques is the achievement of an appropriate quality at minimal costs and accompanied by the production efficiency increase. Therefore, while designing the production process, the technology used should have a considerable influence on the durability and reliability of machine parts to be produced. During finish treatment, the final dimensions as well as functional properties are imparted to a given element by application of proper treatment type. The engineer has a range of production techniques to choose for the proper surface layer formation. It is crucial to find a suitable solution which will meet the requirements as well as the work conditions of a given machine part. The article presents the preliminary research results referring to the analysis of the influence of finishing lathing on the cutting forces and surface roughness of steel. The research was performed on a roller 39 mm in diameter made of S235JR steel. The finish tooling of pump shaft pins was carrying out on a universal centre lathe. The finish lathing process was carried out by means of a CCMT 09T304 PF Sandvik Coromant cutting tool with replaceable inserts. During the research, the effect of changes in the depth of cut on the value of cutting forces and temperature was defined. In addition, the influence of the depth of cut on the surface roughness was determined.

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Optimization of Dimensional, Surface Quality and Material Removal Rate in Turning using Response Surface Methodology and Duelist Algorithm
Ahmed Gaafer

International Journal of Mechanical and Production Engineering Research and Development, 2020

Measuring the productivity and surface quality of turning process, mainly depends on performance parameters, like surface roughness, roundness error and rate of material removal. The main goal of this paper is to investigate the cut depth effect, cutting speed and turning process feed rate for AISI4145 alloy steel performance parameters. Experimentaly designed RSM (Response Surface Methodology) implmented to correlate between the cutting condition parameters and its turning process performance. The efficiency of the proposed models was tested through analysis of variance (ANOVA). A novel optimization technique, known as Duelist Algorithm is then applied for finding the optimal combination between the cutting process parameters and its effect on the process performance parameters. It is done by minimizing the values of both surface roughness and roundness error alongside maximizing the material removal rate. The optimal solutions were confirmed experimentally.

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Related topics

  • Mechanical Engineering
  • Surface Finish
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