Mechanical Engineering

In today’s competitive business scenario manufacturing industries are under the pressure to reduce cost and cycle time. It is a lean manufacturing concept with a systematic approach to identify and eliminate waste through continuous and sustained improvements by manufacturing the product at the pull of the customer in pursuit of perfection. This paper is to Design and Integrate Assembly Lines ‘A’ and ‘B’ based on ‘Lean Concept’ using MTM/UAS analysis for determine the time and to identify the improvement. The study was carried out in 2 assembly lines in a reputed manufacturing industry. The paper concentrates only on assembly line and where assembly line ‘B’ is to be accommodated into assembly line ‘A’. The main focus of the paper is to study the existing system and designing the new solution based on Lean Line Design concept which would follow the standards of the manufacturing industry.

Glass fiber reinforced polymer composites are finding its increased applications in variety of engineering applications such as aerospace, automobile, electronics and other industries. The main objective of this study is to optimize the process parameters with multiple machinability characteristics. The performance characteristics considered were surface roughness (Ra), Cutting force (Fz) and cutting power (P). Optimal combination of process parameters can then be determined by Taguchi method using the grey relational grade as performance index. The process parameters considered were cutting speed, feed, depth of cut and fiber orientation angle (work piece). Experiments are planned according to Taguchi’s L25 orthogonal array in the design of experiments and were carried out on an all geared lathe using carbide (K20) cutting tool insert. The experimental results reveal that the feed is the most significant process parameter on the multiple machinability characteristics, this proposed method can be effectively used to improve the machining characteristics of GFRP composites.

The main objective of this paper is to find the optimum machining parameter for higher Material Removal Rate (MRR) in micro EDM on 316L stainless steel. The most important parameters like machining voltage, capacitance and sparkgap are considered in this experimentation. The experiments were conducted based on the full factorial design methodology. Multiple regression and Artificial Neural Network (ANN) techniques were applied to predict the MRR. The predicted results are quite closer with the experimental results. S/N ratio was calculated to find the optimum values. ANOVA is carried out and the influence of machining parameters was found. The results show that the voltage is highly significant and the capacitance is the next significant than sparkgap on MRR.

The rapid growth in the energy consumption at individual level has given rise to a dramatic increase in both air and water pollution problems. The automobile is probably the most notorious source of atmospheric air pollution on a total mass basis. Under the Indian Conditions two and four wheelers have become the most popular mode of transport. In the present work catalytic converter was chosen for SI engine emission control, to reduce CO, HC and NOx emission. A catalytic converter has to be designed and introduced in the exhaust line of the SI engine. In the present work Maruthi omni engine is chosen for emission control study using an electrically heated catalytic converter. The objective of the electrically heated catalytic converter is to reduce the cold start emission of CO, HC and NOx in the exhaust gas of the engine. The catalytic converter is made of stainless steel plate. The plate is coated with copper, Nickel and Chromium catalytic materials. These emission levels will be measured using the AVL exhaust gas analyzer and the results will be analyzed.

Thermal designing of plate fin heat exchanger explains the heat transfer coefficient, hydraulic diameter, Colburn factor, friction factor, Reynolds number of plate fin heat exchanger. The present review explains the various correlations used in the thermal designing of plate fin heat exchanger. Colburn factor ,hydraulic diameter and Friction factor are the major parameters in the design correlations.

The phase change process for energy storage is a complex heat transfer phenomenon and the solidification and melting process make the charging and discharging process entirely a transient heat transfer process. Analytical solutions are not available to evaluate the temperature of the PCM during the charging and discharging process. Hence, numerical methods are to be adopted to solve the governing equations involved during this transient heat transfer phenomenon. Further, the correlations are developed using the results obtained from the regression analysis using the experimental results to provide simple solutions to the practicing engineers. In this study, heat transfer experiments were conducted under different levels of air flow rate, inlet temperature, charging and discharging time according to the central composite rotatable design matrix. Within the design space, heat transfer variables were optimized using response surface methodology (RSM) concept to the required PCM melting temperature and room temperature. Further, optimized results show that the minimum PCM melting temperature of 29.8 ºC and room temperature of 28.6 ºC are obtained at the mass flow rate of 0.06 kg/s, inlet temperature of 31.4 ºC, and discharging time 86 mins by optimizing process parameters.

Laser machining operation is a thermal, separation process, well suitable for several engineering industrial applications. High cutting speed, superior cut quality and low machining costs made laser cutting to become competitive to existing methods of contour cutting. Austenitic stainless steel is a significant engineering metal and it is complex to cut by oxy–fuel formed oxides and high melting point. So, austenitic stainless steel is mostly appropriate to be cut by laser. The cutting process parameters are highly affects the laser cut quality. In this research 1.9 mm austenitic stainless steel is cut with co2 laser. Laser power, cutting speed, gas pressure and focal distance are to be varied. The goal of this research is to narrate these conditions to formations of burr and surface roughness of cut edge. These relationships are engendered and approved with a mathematical model, which is used to forecast and reduce burr height and minimizing the cut edge surface roughness.

Supply of power for an implantable medical device through a thermoelectric generator shows potential way for a biological system. The direct utilization of the temperature difference existing whole biological body is the unique feature. This paper attempts to review the energy generation of an implanted thermoelectric generator for various physiological or environmental thermal surroundings. Also several technical approaches included to enhance the energy generation from an implanted thermoelectric generator, to shows its long-term potential energy supplier for such medical practices.

In this study, the effects of Lpg–gasoline (10%, 20%, 30% LPG and 100% Gasoline) dual fuels on the performance of a single cylinder 4 stroke spark ignition (SI) engine were investigated. In the theoretical study, the Single-cylinder, four-stroke, Single-point injection system SI engine fitted to a Generator was used. For this purpose, simulations were carried out using AVL Boost Software, without catalytic convertor under constant engine speed (3600 rpm) and varying load conditions. The variations in Performance brake power, Torque, brake specific fuel consumption, and exhaust gasses were examined at varying compression ratios for dual fuel single cylinder SI engine. Variable compression ratio (VCR) technology has long been recognized as a method for improving the fuel economy of SI engines. The results obtained from the use of Lpg–gasoline dual fuel were compared to those of gasoline fuel. The results indicated that when Lpg–gasoline dual fuel were used, the brake specific fuel consumption increased and engine performance parameters such as torque and power increases with increasing Lpg amount in the blended dual fuel. Positive results were obtained at all LPG usage levels in terms of exhaust emissions. Best results were achieved at using 100% Gasoline for exhaust emissions.

Deep-sea mining system technology is complex, expensive and difficult to develop due to high cost and risks of physical models constructions. The development of deep-sea mining simulation test system is the early concept of design innovation and it is an effective tool to accelerate the maturity of the technology to ensure stable and reliable performance. RecurDyn is fully integrated linear and non-linear FEA capability software which allows the creation of detailed realistic models for design studies and product's performance improvement. In this paper a miner track system was modeled based on an optimized design in order to check for its feasibility.