Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutt...

manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. the material removal rate is a significant indicator of the productivity and cost efficiency of the process. taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering thr...

Problem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry...

The paper describes the application of an expert system to develop the carbide cutting tools selection system for computer numerical control (CNC) lathe machine. The aim of the development is to select the optimum tool holder, carbide cutting tools, insert, feed rate, and turning speed for CNC lathe machine. The system is able to select the suitable tips tool based on the dimension, machining p...

Computer numerical control (CNC) machine tools are automated devices capable of generating complicated and intricate product shapes in shorter time. Selection of the best CNC machine tool is a critical, complex and time-consuming task due to availability of a wide range of alternatives and conflicting nature of several evaluation criteria. Although, the past researchers had attempted to select ...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

The paper provides a literature review of the STEPNC compliant research around the world. The first part of this paper focuses on projects based on STEP compliance followed by research and development in this area based on machining operations. Review the literature relating to relevant STEP standards and application in the area of turning centers. This research will review the various research...

Abshct Wavelet neural networks are investigated for learning a multidimensional inputoutput complex nonlinear function. The CNC turning process is modeled using Wavelet neural networks. The error on the component is different from the desired dimensions because of the dynamics of the machining system. The error, ifpredicted, apriori can be used for compensating the same thus improving the accur...

Due to global competition in manufacturing industries scenario the conventional machining processes have been replaced by advanced non conventional machining process. Several advanced non-conventional machine tools are available specifically computer numerical control (CNC) turning is the major used machine tool in metal based industries. Now days, due to the increasing demand of the higher pre...