This research paper aims to improve the quality of 3D printed parts made wax filament by implementing Taguchi orthogonal array process optimization method. The manufactured can be used as cost-effective investment casting patterns. With method, it was concluded that nozzle temperature has most effect on dimensional accuracy parts. In addition, thermal, mechanical, and rheological characterizati...

Induration furnaces for iron-oxide pellets are expensive processes, due to their high energy consumption. Moreover, they are highly interactive and then complex to control. Real-time optimization strategies based on reliable process models are thus necessary. However, induration furnaces are described by distributed-parameter models that require long computation times. The performance of IMCopt...

Abstract Mechanical manufacturing industry consumes substantial energy with low efficiency. Increasing pressures from price and environmental directive force mechanical industries to implement efficient technologies for reducing consumption improving efficiency of their machining processes. In a practical process, cutting parameters are vital variables set by manufacturers in accordance require...

This work presents PESMOC, Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints, an information-based strategy for the simultaneous optimization of multiple expensive-to-evaluate black-box functions under the presence of several constraints. PESMOC can hence be used to solve a wide range of optimization problems. Iteratively, PESMOC chooses an input location on w...

This dissertation includes the application of analysis-of-variance (ANOVA) expansions to analyze solutions of parameter dependent partial differential equations and the analysis and finite element approximations of the Stokes equations with stochastic forcing terms. In the first part of the dissertation, the impact of parameter dependent boundary conditions on the solutions of a class of nonlin...

optimization of the exploitation operation is one of the most important issues facing the mining engineers. since several technical and economic parameters depend on the cut-off grade, optimization of this parameter is of particular importance. the aim of this optimization is to maximize the net present value (npv). since the objective function of this problem is non-linear, three methods can b...

Virtually all effect units that process digital audio—software plug-ins as well as dedicated hardware—can be controlled digitally. This allows subjecting their settings to optimization processes. We demonstrate the automatic adaptation of reverberation plug-ins to given room impulse responses. This facilitates replacing computationally expensive convolution reverberation units with standard one...

In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. ...

Optimization and parameter estimation techniques have been employed for many years as a method of improving and exploring designs in numerous areas. As the designs of antennas and antenna arrays become more complex in nature, optimization techniques such as Bayesian estimation or genetic algorithms have become more necessary in the design process. These techniques provide methods for not only t...

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...