A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel

This paper presents an experimental investigation on cutting temperature during hard turning of EN 24 steel (50 HRC) using TiN coated carbide insert under dry environment. The prediction model is developed using response surface methodology and optimization of process parameter is performed by desirability approach. A stiff rise in cutting temperature is noticed when feed and cutting speed are elevated. The effect of depth of cut on cutting temperature is not that much significant compared with cutting speed and feed as observed from main effects plot. The response surface second order model presented high correlation coefficient (R2 = 0.992) explaining 99.2 % of the variability in the cutting temperature which indicates the goodness of fit for the model to the actual data and high statistical significance of the model. The experimental and predicted values are very close to each other. The calculated error for cutting temperature lies between 1.88-3.19 % during confirmation trial. Therefore, the developed second order model correlates the relationship of the cutting temperature with the process parameters with good degree of approximation. The optimal combination for process parameter is depth of cut at 0.2mm, feed of 0.1597 mm/rev and cutting speed of 70m/min. Based on these combination, the value of cutting temperature is 302.950C whose desirability is one

Design analysis of a hot strip mill runout table bed under ANSYS workbench

A structural analysis has been performed on the setup of a spray cooling system for a model of a hot strip mill. The objective was to design a run out table (ROT) whose length is reduced for a spray cooling system. The setup consists of a bed (ROT) whose height can be adjusted as desired, and a carriage which would be carrying the hot plate, moving along the bed, for experimentation. The CAD modelling was done in CATIA and the analysis was performed in ANSYS Workbench. A prototype of the whole setup was built from the virtual model and was controlled using products from National Instrument Corporation (NI). The analysis is being conducted for the design optimization of the entire setup and its safety

MQL assisted cleaner machining using PVD TiAlN coated carbide insert: Comparative assessment

311-325Minimum quantity lubrication (MQL) is an alternative over dry machining due to economic and ecological sustainability. In the current research, a comparative investigation has been carried out on machinability and surface integrity aspects of hardened AISI 4340 steel using PVD TiAlN coated carbide inserts during dry and MQL assisted hard turning. Under the dry condition, turned surface has been encountered tensile residual stress whereas compressive residual stress has been generated under MQL condition. Formation of a white layer on the chip has not been experienced under both conditions. Cutting speed predominantly influences tool wear and feed influences more on surface roughness. Dimensional deviation and auxiliary flank wear have been significantly reduced under MQL condition with 16.21% cost savings. An improvement in machinability characteristics and surface integrity under MQL cutting has been noticed compared to dry with favorable interaction and contribute towards cleaner machining process. This may be adopted in machining shop floor as a good replacement over dry machining

Clinical Computing in Dentistry

Machines can seldom replace dentists in rightly handling the patients with optimistic human insight, considerations, creative planning and the monitoring of psychological acceptance and comfort experienced by any patient with the rehabilitation done. Intelligent computer related armamentarium with software can still help dental practitioners detect typical medical and dental signs and classify them according to certain rules more effectively. Based on image analysis algorithms, CAD systems can be used to look for signs of any tooth pathology that can be spotted in dental X-ray or cone beam computed tomography (CBCT) images. Applying computer vision algorithms to high-resolution CBCT slices helps to a great extent in diagnosing periapical lesions like granulomas, cysts, etc., and can help creating 3-D model of a root canal that reflects its shape with sufficient precision facilitating an optimum endodontic treatment planning. Hence, computer vision systems are already able to speed up the diagnostic process and provide a valuable second opinion in doubtful cases. This can lead a dentist and the patient thoroughly experience an optimistic acceptance and satisfaction of the treatment done

Desirability function based optimization of experimental data for air-water spray impingement cooling

The current research copes with the optimization of the surface heat transfer coefficients of a square mild steel test specimen by spray impingement cooling. A laboratory scale experimental setup was developed at School of Mechanical Engineering KIIT University, Odisha, India to investigate the role of various process parameters to enhance the heat transfer from the surface of the heated steal specimen. The mild steel plates of dimension 120 mm × 120 mm, and different thicknesses of 4 mm, 6 mm and 8 mm were used in the experiment. The effect of the process parameters such as thickness of the tested plate, nozzle to plate distance, air and water pressure upon the surface heat transfer coefficient (HTC) was optimized. The optimization of the controlling parameters was carried out by using the desirability functions. The Design Expert 8 software was used to analyze the experimental results. A new correlation was developed for optimization of the surface heat transfer coefficient

Design analysis of a hot strip mill runout table bed under ANSYS workbench

A structural analysis has been performed on the setup of a spray cooling system for a model of a hot strip mill. The objective was to design a run out table (ROT) whose length is reduced for a spray cooling system. The setup consists of a bed (ROT) whose height can be adjusted as desired, and a carriage which would be carrying the hot plate, moving along the bed, for experimentation. The CAD modelling was done in CATIA and the analysis was performed in ANSYS Workbench. A prototype of the whole setup was built from the virtual model and was controlled using products from National Instrument Corporation (NI). The analysis is being conducted for the design optimization of the entire setup and its safety