A. Godwin Antony

Bio: A. Godwin Antony is an academic researcher from Techno India. The author has contributed to research in topics: Diesel fuel & Ultimate tensile strength. The author has an hindex of 8, co-authored 17 publications receiving 138 citations.

Investigation and Prediction of Material Removal Rate and Surface Roughness in CNC Turning of En24 Alloy Steel

Abstract: Every manufacturing or production unit should concern about the quality of the product. Apart from quality, there exists other criterion, called productivity which is directly proportional to the profit level. Every manufacturing industry aims at producing a large number of products in relatively lesser time. In any machining process, it is most important to determine the optimal settings of machining parameters aiming at reduction of production costs and achieving the desired product quality. If the problem is related to a single quality attribute then it is called single objective optimization. If more than one attribute comes into consideration it is very difficult to select the optimal setting which can achieve all quality requirements simultaneously. In this work, EN-24 alloy steel work pieces were turned on Computer Numerical Controlled (CNC) lathe by using Cemented carbide tool (coated). The influence of four cutting parameters, cutting speed, feed rate, depth of cut, and tool nose radius on minuscule surface roughness and material removal rate (MRR) were analyzed on the basis of Response Surface Methodology approach. The experimental results were collected by following the Taguchi's L16 mixed Orthogonal Array design.

Investigation of latent heat storage system using graphite micro-particle enhancement

Abstract: Low-temperature energy storage system (LTESS) stores the thermal energy from the sun, exhaust gases and waste heat from industries and other sources. Phase changing materials (PCM) are used as the energy storage medium for this system. The advantage of PCM is that it has higher energy storage density, with low volume. The disadvantage of PCM for using as LTESS is that the thermal conductivity of PCM is less and this requires more time period and surface area of contact, for loading and unloading of thermal energy. A solution to this problem can be incorporating graphite micro-particles in the paraffin PCM to improve its thermal conductivity. The heat transfer of LTESS is determined experimentally. Incorporating micro-particle in the PCM has improved the heat transfer of the LTESS. Maxwell–Garnett equation is used to determine the heat transfer of PCM and J-type temperature measuring probe, and sensor apparatus is used to determine the heat transfer experimentally. The encapsulation has increased the heat-retaining ability and storage time by about 40% on average for the flow rates tested.

CFD modeling and analysis of a two-phase vapor separator

Abstract: Vapor separator is a vital component in liquid-dominated steam field equipment. While various designs exist, the currently employed separator design was not so effective on separation and there is limitation in understanding the fluid behavior within the separator. Challenges arise from the difficulties in predicting the pressure distribution, flow regime and separation efficiency inside the separator vessel. Owing to this complexity, computational fluid dynamics (CFD) simulation of two-phase fluid movement inside a vapor separator was carried out using Cosmos Express software package. The modifications made to the existing vapor separator were done considering the major mechanisms such as gravity separation, inertial separation, centrifugal separation and surface tension force. This paper describes the CFD analysis of a modified vapor separator model. The design modification made in this vapor separator was to increase the efficiency of the system by reducing its drawbacks. The effect of turbulence and pressure drop on the existing vapor separator design was studied while improving their efficiency to 100% and 99.5% in two different designs. The separator efficiency was calculated by injecting water droplets after a converged solution was achieved. Though, pressure drop inside the vapor chamber is higher (1344.91 N m−2) for the first design compared to later having a lower value of 817.68 N m−2. CFD simulation results demonstrated a promising method to optimize the separator design.

Experimental Investigation and Optimization of Machining Parameters in CNC Turning Operation of Duplex Stainless Steel

Abstract: Turning is the one of the material removal process that finds vast application in manufacturing vital components such as axles, shafts, etc, in large numbers. In that, every manufacturing unit focuses on high quality with increased production rate, which decides the profit level of the firm. So, its important to determine the optimal machining parameters. This work deals with the selecting the optimal parameters that plays a critical role in increasing the productivity with desired product quality at minimum cost and reduced lead time. The problem is related to a single quality characteristic is called single objective optimization. It is difficult to select the optimal parameters, if more than one quality characteristics are considered. The experiments were conducted for both dry and wet conditions with Taguchi's L18 mixed orthogonal array. Cemented carbide tool was used to machine the Duplex alloy steel work pieces on Computer Numerical Controlled (CNC) lathe. The optimal parameters were found using Taguchi's approach individually for minimum surface roughness and maximum material removal rate (MRR) and were compared with the results obtained from Grey Relational Analysis by combing the objective functions into an equivalent objective. The influence of the machining parameters cutting speed, feed rate, depth of cut and tool nose radii were studied using Analysis of Variance technique (ANOVA).

Teaching learning optimization and neural network for the effective prediction of heat transfer rates in tube heat exchangers

Abstract: Heat exchangers are widely used in many field for the purpose of heat from one medium to another. In heat exchanger one or more fluids are used, and which are various types based on its flow and construction. Design of heat exchanger is one of the important field, in the research due to its application. In recent decade the simulation is used in most of the engineering application. A proper simulation technique can effectively analysis the functionality and behavior of any machine before its construction or production. In this sense the machine learning techniques are used in some simulation analysis to model the machine or engine. In this work we used a hybrid neural network for the modeling of shell and tube type heat exchanger and its heat transfer rate is predicted effectively. The computational performance of the proposed technique is compared with the conventional technique and it is proved the effectiveness of the hybrid machine learning technique.

Natural fiber reinforced composites: Sustainable materials for emerging applications

Abstract: In the contemporary world, natural fibers reinforced polymer composite (NFRPC) materials are of great interest owing to their eco-friendly nature, lightweight, life-cycle superiority, biodegradability, low cost, noble mechanical properties. NFRPCs are widely applied in various engineering applications and this research field is continuously developing. However, the researchers are facing numerous challenges regarding the developments and applications of NFPRCs due to the inherent characteristics of natural fibers (NFs). These challenges include quality of the fiber, thermal stability, water absorption capacity, and incompatibility with the polymer matrices. Ecological and economic concerns are animating new research in the field of NFRPCs. Furthermore, considerable research is carried out to improve the performance of NFRPCs in recent years. This review highlights some of the important breakthroughs associated with the NFRPCs in terms of sustainability, eco-friendliness, and economic perspective. It also includes hybridization of NFs with synthetic fibers which is a highly effective way of improving the mechanical properties of NFRPCs along with some chemical treatment procedures. This review also elucidates the significance of using numerical models for NFRPCs. Finally, conclusions and recommendations are drawn to assist the researchers with future research directions.