Asso. Prof.,Dept. of Mech. Engg. G.I.E.T, Rajahmundry, A.P, India DGM (Retd.), B.H.E.L, R&D, Balanagar, Hyderabad, A.P, India Abstract Surface roughness, an indicator of surface quality is one of the most specified customer requirements in a machining process. For efficient use of machine tools, optimum cutting parameters (speed, feed and depth of cut) are required. So it is necessary to find a...

The problem of component estimation from a multicomponent signal in additive white Gaussian noise is considered. A parametric ML approach, where all components are represented as a multiplication of a polynomial amplitude and polynomial phase term, is used. The formulated optimization problem is solved via nonlinear iterative techniques and the amplitude and phase parameters for all components ...

a new method of optimization on linear parabolic solar collectors using exergy analysis is presented. a comprehensive mathematical modeling of thermal and optical performance is simulated and geometrical and thermodynamic parameters were assumed as optimization variables. by applying a derived expression for exergy efficiency, exergy losses were generated and the optimum design and operating co...

at this study, after designing and manufacturing a rotary tool, its machining parameters and their effects on surface roughness of aluminum alloy of al99 which  is one of the most consumable alloys in aerospace industry, is  studied and optimized. first, the rotary tool is designed and manufactred. then according to taguchi method, the experiments have been designed to record surface roughness,...

In this paper, multi-objective optimization of hard turning has been reported. A neural network model was developed in order to model the surface roughness and tool wear characteristics of hard turning when CBN tools are used. Objective is to obtain optimum process parameters, which satisfies given limit, tool wear and surface roughness values and maximizes the productivity at the same time. A ...

The present work analyses different parameters of pressure die casting to minimize the casting defects. Pressure diecasting is usually applied for casting of aluminium alloys. Good surface finish with required tolerances and dimensional accuracy can be achieved by optimization of controllable process parameters such as solidification time, molten temperature, filling time, injection pressure an...

We developed a method to derive optimum composite genotypes when the proportion of a specific breed (or combination of breeds) in the composite is constrained to a desired level. The method allows development of composites that balance net merit according to available parameters and reflects the production system and(or) risk preference, particularly when traits in the breeding objective do not...

Numerous studies have estimated the optimum thickness of thermal insulation materials used in building walls for different climate conditions. The economic parameters (inflation rate, discount rate, lifetime and energy costs), the heating/cooling loads of the building, the wall structure and the properties of the insulation material all affect the optimum insulation thickness. This study focuse...

Resistance spot welding process is one of the very useful and widely utilized joining processes in automobile industry due to its high working speed, high productivity, flexibility and economical cost operation. In this paper various optimization techniques like Taguchi method, Artificial neural network (ANN), Genetic algorithm (GA) etc. and their applications are discussed to get the optimum w...