Development of In-process Surface Roughness Evaluation System for Cast Nylon 6 Turning Operation

Experimental Investigation of Surface Roughness in Turning Operation of 16MNCR5

Machining operations are involv3ed in many manufacturing industries. Turning process is one of the most fundamental cutting processes. Cutting used in metal cutting. Surface finish and dimensional tolerances are used to determine quality of product and are the important quality attributes of turned product. In the present paper of investigation the experimental work has been employed for the op...

Design of adaptive neuro-fuzzy inference system for predicting surface roughness in turning operation

This paper proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS) for predicting the surface roughness in turning operation for set of given cutting parameters, namely cutting speed, feed rate and depth of cut. Two different membership functions, triangular and bell shaped, were adopted during the training process of ANFIS in order to compare the prediction accuracy of surface roughness by t...

Multi Objective Optimization of Cutting Parameters in Turning Operation to Reduce Surface Roughness and Cutting Forces

The Determination of Empirical Model for Surface Roughness in Turning Process Using Design of Experiment

The purpose of this research is to determine the empirical model for surface roughness in a turning process. This process is performed in the final assembly department at a manufacturing company which supplies fluid dynamic bearing (FDB) spindle motors for hard disk drives (HDDs). The workpieces used were the sleeves of FDB motors made of ferritic stainless steel, grade AISI 12L14. A 2 factoria...

Surface Roughness Control Simulation of Turning Processes

The machining quality on computerized numerically controlled (CNC) machine tools is sensitive to the machining parameters. With modern machine tools, an operator still manually adjusts controlling parameters, such as feed rate and cutting speed. The adjusted values mainly depend on operator experience and knowledge. Standard machining catalogues and commercial cutting condition prediction softw...