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Niobium based super alloys are an unusual class of metallic materials with an exceptional combination of high temperature strength, toughness, and resistance to degradation in corrosive or oxidizing environments. The focus of present work was to study the effect of cutting parameters – speed, feed and depth of cut on the machinability of Niobium C-103 under dry machining condition using respons...

This work presents a new criterion for the tool wear evaluation from cutting tool vibration. The vibratory signatures produced during a dry turning process were acquired using a three-axis accelerometer mounted on cutting tool. Then, the mean power analysis was estimated to extract an indicator parameter able to describe the wear of the cutting tool along its lifespan. Finally, a criterion base...

Liberation of heat and generation of friction associated with any machining operation ever pose a problem which not only reduce the tool life but also impair quality of the product. Cutting fluids have been the conventional choice to curtail friction and temperatures in machining because of its lubrication and cooling actions. However, considering health hazards posed by the conventional cuttin...

Sustainability has become a very significant research topic since it impacts many different manufacturing industries. The adoption of sustainable manufacturing practices and technologies offers industry a cost effective route to improve economic, environmental, and social performance. As a major manufacturing process, the machining system plays an important role for sustainable manufacturing on...

This paper presents the three dimensional (3D) finite element analysis to predict the workpiece displacement amplitude and tool wear in face turning of AISI 1040 steel under dry machining condition. 3D vibration induced turning models have been developed and validated by comparing with experimental results so as to identify the correlation. Extensive experimentation and investigators carried ou...

The present investigation deals with the study and development of a surface roughness prediction model for the machining of unidirectional glass fiber reinforced plastics (UDGFRP) composite using Artificial Neural Network (ANN). The feed forward back propagation is used. Taguchi method (Orthogonal L16 array) is employed to carry out the experimental work. The process parameters selected for stu...

A number of WC-Co cemented carbides with 6–12 wt. % Co were machined and surface finished by grinding or Electrical Discharge Machining (EDM). EDM was executed in deionised water through several consecutive gradually finer steps. Correlations between Material Removal Rate (MRR), surface finish and EDM parameters were derived. The quality and integrity of surface finishes were analysed by Scanni...

This paper is an endeavour to critically appraise the existing methods used for real-time simulation of machine tool dynamics with the emphasis on modelling and simulation of the dynamic behaviour of CNC machine tool feed drives and mechatronic systems for machine tools. The actual approaches for linking the feed drive models with structural models for CNC machine tools are examined. Also the f...