Litcius/Paper detail

Multi-objective optimization of the cylindrical grinding process of SCM440 steel using Preference Selection Index Method

Dung Hoang Tien

2021Journal of Machine Engineering24 citationsDOIOpen Access PDF

Abstract

This paper presents a study to ensure the minimum values of Ra and Rz, and the maximum value of MRR when external cylindrical grinding by the PSI method. The experiments were performed according to the orthogonal Taguchi L9 matrix with the input parameters including workpiece speed, feed rate, and depth of cut in the conventional grinding machine. Analysis of experimental results by Pareto chart showed that the feed rate and the depth of cut most influence on Ra and Rz, respectively. Feed rate and depth of cut all have a great influence on MRR. Meanwhile, the workpiece speed has a negligible effect on all three output parameters. The research results showed that to obtain the minimum values of Ra and Rz, and maximum of MRR, the workpiece speed, feed rate, and depth of cut were 400 rev/min 37.7 mm/min, 0.09 mm/rev, and 0.02 mm, respectively.

Topics & Concepts

GrindingSelection (genetic algorithm)Surface roughnessAutomationPreferenceMechanical engineeringManufacturing engineeringMetallurgySurface finishMaterials scienceTool steelProcess (computing)Index (typography)Engineering drawingEngineeringComputer scienceMathematicsComposite materialArtificial intelligenceStatisticsWorld Wide WebOperating systemAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesManufacturing Process and Optimization