scholarly journals Technological Structures for Air Cooled Condensers

2019 ◽  
Vol 4 (11) ◽  
pp. 93-98
Author(s):  
Zdeňka Říhová ◽  
Markéta Kočová
Keyword(s):  
Optimal Solution ◽  
Energy Industry ◽  
Horizontal Segment ◽  
Supporting Surface ◽  
Supporting Structure ◽  
Air Cooled Condensers ◽  
Design Requirements ◽  
Specific Number ◽  
Technological Platforms

This paper summarizes the knowledge and results obtained in the field of designing technological platforms for energy industry. Optimal solution of the layout of elements and material of a number of technological platforms with a specific number of modules was searched. Technological platforms are the main supporting structure of the air-cooled condensers (ACC), which ensure cooling of plants. The fundament of the solution is based on the schema that the platform is composed from the at least one standardized bed containing the supporting surface equipped with the supporting columns and at least one horizontal segment for the condenser exchanger support. The platform structure must ensure sufficient spatial rigidity and stability and ACC functionality. Design requirements are defined both by size and weight of each single module of condenser and the total number of modules in assembly.

scholarly journals Kinematic Design of a Seven-Bar Linkage with Optimized Centrodes for Pure-Rolling Cutting

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Biao Liu ◽  
Yali Ma ◽  
Delun Wang ◽  
Shaoping Bai ◽  
Yangyang Li ◽  
...  
Keyword(s):  
Optimal Solution ◽  
Genetic Optimization ◽  
Dimensional Synthesis ◽  
Cutting Mechanism ◽  
Pure Rolling ◽  
Moving Points ◽  
Novel Method ◽  
Design Requirements ◽  
Genetic Optimization Algorithm ◽  
Peak Value

A novel method for designing a seven-bar linkage based on the optimization of centrodes is presented in this paper. The proposed method is applied to the design of a pure-rolling cutting mechanism, wherein close interrelation between the contacting lines and centrodes of two pure-rolling bodies is formulated and the genetic optimization algorithm is adopted for the dimensional synthesis of the mechanism. The optimization is conducted to minimize the error between mechanism centrodes and the expected trajectories, subject to the design requirements of the opening distance, the maximum amount of overlap error, and peak value of shearing force. An optimal solution is obtained and the analysis results show that the horizontal slipping and standard deviation of the lowest moving points of the upper shear blade have been reduced by 78.0% and 80.1% and the peak value of shear stress decreases by 29%, which indicate better cutting performance and long service life.

Design and Optimize the Supporting Structure of Large-Diameter Lightweight Mirror

2012 ◽  
Vol 224 ◽  
pp. 170-173
Author(s):  
Wen Yi Chai ◽  
Yong Jie Xie ◽  
Wei Wang ◽  
Meng Yuan Wu ◽  
Xue Wu Fan
Keyword(s):  
Work Environment ◽  
Simulation Analysis ◽  
Optical Axis ◽  
Large Diameter ◽  
Primary Mirror ◽  
Supporting Structure ◽  
Final Project ◽  
Flexible Support ◽  
Ground Test ◽  
Design Requirements

This paper describe design and optimize of the lightweight primary mirror assemblies for the space telescope, aim at supporting structure of the primary mirror with an aperture of 530mm for the Cassegrain optical. We design three kinds of flexible support structure for the mirror, and numerical simulation analysis the accuracy of reflective shape for mirror assemblies on the ground test and in-orbit work environment, compare the results of analysis and optimize parameters of flexible structure, determine the final project and put it into production. The results show that the component should be aligned and tested in the same direction of the mirror optical axis and the gravity, the accuracy of reflective shape is PV<λ/25 and RMS<λ /125 (λ = 632.8nm), under the state ofΔ4oC temperature change, the RMS<λ/234 (λ = 632.8nm), the project meet design requirements of the optical system.

Optimization Design of Cantilever Supporting Structure

2013 ◽  
Vol 357-360 ◽  
pp. 2410-2413
Author(s):  
Wei Xu ◽  
Jian Sheng Feng ◽  
Fei Fei Feng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Design Method ◽  
Optimal Solution ◽  
Optimization Method ◽  
Original Design ◽  
Supporting Structure ◽  
Primary Object ◽  
Design Variables ◽  
Optimum Solution

The primary object of this fundamental research is to reveal the application of genetic algorithm improved on the optimization design of cantilever supporting structure. In order to meet the strength of pile body and pile top displacement as well as design variables subjected to constraint, an algorithm is carried on to seek the optimum solution and relevant examples by means of comprehensively considering the effects on center-to-center spacing between piles,pile diameter and quantity of distributed steel, which is taken the lowest engineering cost as objective function. Through the comparison of the optimized scheme and original design, this fruitful work provides explanation to the effectiveness of genetic algorithm in optimization design. These findings of the research lead to the conclusion that the shortcomings of traditional design method is easy to fall into local optimal solution. The new optimization method can overcome this drawback.

Using Randomized Algorithms to Quantify Uncertainty in the Optimal Design of Cable-Driven Manipulators

2015 ◽  
Author(s):  
Joshua T. Bryson ◽  
Sunil K. Agrawal
Keyword(s):  
Randomized Algorithms ◽  
Specific Problem ◽  
Randomized Algorithm ◽  
Optimal Solution ◽  
Estimation Errors ◽  
Solution Quality ◽  
Accuracy Level ◽  
Quantitative Understanding ◽  
Explicit Bounds ◽  
Design Requirements

Cable-driven robots are often considered an attractive solution for applications which require a low-inertia actuator capable of high accelerations, despite the added complexity of the system and increased challenges of the design. Previous research has developed various techniques for analyzing the workspace of a cable-driven robot and several methods of designing a cable routing have been demonstrated which enable a robot to perform a given task. In general, there are many choices of cable routing which satisfy the particular design requirements, and the problem is focused on how to select the best design from among the available choices. Using techniques developed from statistical learning theory, the field of Randomized Algorithms offers explicit bounds on the estimation errors of an optimal solution, provided certain explicitly defined sample complexity requirements are satisfied. The main advantage of this approach is a quantitative understanding of the uncertainty of the result and the accuracy with respect to the true optimum to enable an informed decision regarding the sufficiency of the solution. The desired accuracy and confidence parameters for the optimal solution are tailored for the specific problem, allowing for balance between computational limitations and desire for solution quality. In this work, a summary of the randomized algorithm approach is presented, and an optimized solution to the design of a cable-driven manipulator is developed using a randomized algorithm according to specified accuracy, level and confidence parameters.

scholarly journals Modeling Of Multi-Objective Process Plan, Its Optimization using Linear Modeling Technique

2021 ◽  
Vol 15 ◽  
pp. 110-114
Author(s):  
Umer Asgher ◽  
Riaz Ahmad ◽  
Aamer Ahmad Baqai
Keyword(s):  
Process Planning ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Raw Material ◽  
Reconfigurable Manufacturing ◽  
Linear Modeling ◽  
Process Plan ◽  
Organizational Goals ◽  
Manufacturing Procedure ◽  
Design Requirements

The Process planning is the procedure to opt for and schedule manufacturing procedure so as to attain one or more organizational goals and suit with a set of constraints. More specifically a Process planning in the reconfigurable manufacturing setup engages a sequence of all activities from raw material storage into the finished manufactured yield. In the current study a manufacturing setup of automotive industry is discussed. At the outset of papers, a basic process plan is modeled that includes design requirements after that it is mathematically modeled. Mathematically modeled process plan is then optimized in order to find optimal solution. Research then search the potential of linear programming optimization technique in handling optimization of process plan.

An Intelligent and Efficient Tree Search Algorithm for Computer-Aided Component Selection

2007 ◽  
Author(s):  
Manasi Tamhankar ◽  
Matthew I. Campbell
Keyword(s):  
Search Algorithm ◽  
Optimal Solution ◽  
Tree Search ◽  
Search Technique ◽  
Component Selection ◽  
Computer Aided ◽  
Engineering Problems ◽  
Design Requirements ◽  
Algorithmic Approaches ◽  
Tree Search Algorithm

Component selection in engineering design is a process in which an assembly of pre-defined component types is given and a choice of specific components is desired that satisfies a set of design requirements and constraints. Although algorithmic approaches to component selection have been researched for specific mechanical engineering problems such as bearing selection, a generalized technique has not been developed. This paper proposes a universal tool to automate the process of component selection by incorporating a tree search. Our technique evaluates the worth of candidate solutions in terms of the customer needs satisfaction and the compatibility between interconnected components. The tree search technique used in this research is not only quick and efficient but also guarantees an optimal solution.

A Shelved Structure for the Support of An Electron Optical Column

1970 ◽  
Vol 28 ◽  
pp. 366-367
Author(s):  
P.H. McLaughlin
Keyword(s):  
Electron Source ◽  
Floating Platform ◽  
Supporting Structure

A shelved structure for the support of an electron optical column affords advantages both to the designer and the user. A lens may be removed for cleaning for example, without demounting the remaining lenses. A custom device for another example, may be placed on a shelf, substituting for the standard lens perhaps so that some specialized research may be undertaken. Especially advantageous is a shelved arrangement if the column assembly is designed to hang from a supporting structure such as a gas borne floating platform, as is the case with the system described below.As shown on the schematic, a floating platform (I) supports the electron source apparatus (2) and a U-shaped column support shelf (3). The column support shelf acts as a key for locating and supporting three struts (4) which with nuts (5) support the condenser shelf (6), the objective shelf (7), the upper projector shelf (8), and the lower projector shelf (9).

Identifying Measurement Invariant Item Sets in Cross-Cultural Settings Using an Automated Item Selection Procedure

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid
Keyword(s):  
Measurement Invariance ◽  
Optimal Solution ◽  
Selection Procedure ◽  
Cross Cultural ◽  
Item Selection ◽  
Ant System ◽  
Item Quality ◽  
Ant System Algorithm ◽  
Selection For ◽  
Selection Of

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.

Collaborative Airport Traffic System (CATS) to Evaluate Design Requirements for an Airport Surface Departure Management System

2011 ◽  
Author(s):  
Alicia B. Fernandes ◽  
Philip J. Smith ◽  
Amy Spencer ◽  
Eric Wiley ◽  
Dustin Johnson
Keyword(s):  
Management System ◽  
Traffic System ◽  
Design Requirements

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

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