MULTIPARAMETRIC OPTIMIZATION OF THE SHAPE AND THICKNESS OF INSULATED ENERGY EFFICIENT CONSTRUCTED BUILDING WITH A SPECIFIC NUMBER OF FACES

To calculate the optimal parameters of outbuildings, a mathematical model and method for optimizing the shape and resistance of heat transfer for opaque and transparent structures with a certain constant number of faces, building volume and amount of insulation to minimize the thermal balance of enclosing structures with the environment during the heating period In the course of calculations the geometrical parameters of translucent, opaque structures in the heat-insulating shell of buildings are determined taking into account heat losses, heat influx from solar radiation by the criterion of ensuring minimum heat losses through enclosing structures, rational parameters (buildings) The given technique and mathematical models should be used in the future in the design of energy efficient buildings in the reconstruction and thermal modernization of buildings. This will increase their energy efficiency and, accordingly, the energy efficiency class of buildings. For the research faceted attached building in the form of a triangular pyramid, the reduction in heat loss was 14.82 percent only due to the optimization of the shape and redistribution of the insulation. Similar results were obtained for other initial forms. For the first time, a computerized method was proposed, an algorithm and application package Optimparam for multiparameter shape optimization and insulation of translucent and opaque structures for outbuildings with a given number of arbitrarily arranged faces were developed.

Explicit Model Predictive Control for a Tiltrotor UAV in Cargo Transportation Tasks

This paper deals with the trajectory tracking problem of a tilt-rotor unmanned aerial vehicle carrying a suspended load. An explicit model predictive control (eMPC) based on multiparametric optimization is used to derive optimal control laws which could be implemented in an embedded system. The eMPC is designed based on the nominal linearized error model of the system, which is obtained around a generic trajectory. The optimal control problem (OCP) is solved taking into account input and state constraints. Additionally, a terminal cost is considered to guarantee stability. Euler-Lagrange formulation is used to derive the multibody non-linear dynamic model. Numerical experiments are performed to evaluate the proposed controller when the system is aected by constant disturbances at different instants of time and parametric uncertainties.

Multiparametric Optimization of Low Plasticity Burnishing Process for AISI 4340 by using Utility Concept

Low plasticity burnishing (LPB®) is an innovative method which provides deep and stable compressive residual stresses. It improves surface characteristic such as low and high cycle fatigue strength, surface finish, microhardness, wear resistance, corrosion resistance, etc. The objective of the multi parametric process optimization for LPB is to find out appropriate levels of process variables i.e. ball diameter, pressure, speed, initial surface roughness and number of passes for achieving optimum values of surface roughness, hardness and fatigue life simultaneously. Considering multiple output responses in the present study, multi response optimization is essential. This paper deals with multi objective LPB process optimization problem of response characteristics with Utility concept for AISI 4340 steel alloy

FAILURE ANALYSIS AND PROCESS PARAMETER INFLUENCE ON MECHANICAL AND METALLURGICAL BEHAVIOR OF FRICTION STIR WELDED AA2219-T87 JOINTS

Friction Stir Welding (FSW) was carried out on AA2219-T87 alloy plates with various process parameters. Multiparametric optimization was carried out using Taguchi-Grey Relational Analysis (T-GRA) to determine the most influencing factors on the responses like Ultimate Tensile Strength (UTS) and Yield strength (YS) of AA2219-T87 butt joints. In this work, defect-free welding parameters were selected from the wide range of trial and L18 Taguchi Mixed factorial design was fit to further optimize the parameters by T-GRA techniques. Parameters like tool rotational speed, welding speed and tool profile were varied, tool tilt angle and thrust force were kept constant. The macro and microstructures were examined to correlate with tensile, yield and hardness property to analyze the predominant factor that would improve joint efficiency. Finer grains were found in nuggets when compared to other zones and the grain size was found to decrease from top to bottom due to centrifugal action. Scanning Electron Microscopy (SEM) studies were carried out on fracture tensile specimen to determine the mode of fracture in the different regions. EDS elemental mapping was done in fracture region of the tensile specimen and it was encountered that crack initiation is along the copper-enriched region. Tensile strength was reported to be 73% of the parent metal and optimized parameter combination was observed for tool with taper threaded pin profile that enhances metal flow.

Various Ways of Adiabatic Expansion in Organic Rankine Cycle (ORC) and in Trilateral Flash Cycle (TFC)

For energy production and conversion, the use of thermodynamic cycles is still the most common way. To find the optimal solution is a multiparametric optimization problem, where some parameters are related to thermodynamic and physical chemistry, while others are associated with costs, safety, or even environmental issues. Concerning the thermodynamic aspects of the design, the selection of the working fluid is one of the crucial points. Here, we are going to show different types of adiabatic expansion processes in various pure working fluids, pointing out the ones preferred in Organic Rankine Cycles or in Trilateral Flash Cycles. The effect of these expansions on the layout of the cycles will also be presented. Finally, we are giving a few thumb-rules, derived from thermodynamic studies, useful for energy engineers to select the proper working fluid for a given thermal system.

MULTIPARAMETRIC OPTIMIZATION FOR THE SELECTION AND IMPLEMENTATION OF TECHNOLOGICAL SOLUTIONS FOR THE PRODUCTION OF BIODIESEL FROM WASTE OIL-CONTAINING MATERIALS

In this work, a multi-parameter, multi-criteria parameter optimization of the mathematical model we have developed is performed. The use of reasonable parameter limits, determined through extensive statistical observations and analyses, enables the generation of optimal technological and logistical solutions for the use of biodiesel. Based on the selection of suitable oil-containing raw materials and such wastes, it allows the construction of optimum technological-logistical chains, providing the necessary amount of biodiesel in a certain territorial unit.