scholarly journals Optimum design of a spur gear using a two level optimization approach

Mechanika ◽  
2019 ◽  
Vol 25 (4) ◽  
pp. 304-312
Author(s):  
MAHIDDINI Brahim
Keyword(s):  
Design Methodology ◽  
Optimization Technique ◽  
Spur Gear ◽  
Analytical Models ◽  
Design Parameters ◽  
Optimization Approach ◽  
Computational Burden ◽  
Speed Reducer ◽  
Basic Functions

In this paper, we present a two level optimization approach in order to enhance the design process of a one-stage speed reducer. The proposed design methodology is performed using genetic algorithms which are judiciously combined with the use of :i) analytical models (1stlevel) and ii) Finite Element Method (FEM)based models ( 2nd level), to evaluate design candidates. Indeed, the use of CAD-CAE tools to develop higher fidelity FEM models allows to re-evaluate the attained first level designs, while accounting for new design parameters and advanced aspects which have been ignored in the first level. In order to minimize the computational burden, a metamodel based optimization technique is adopted at this second level. To illustrate the efficiency of the proposed approach, a case study of a spur gear based reducer is presented where the design of experiments is built using Hypercube Latin Sampling and surrogate models are constructed using Radial Basic Functions.

Parametric Aircraft Design Optimisation Study Using Span and Mean Chord as Main Design Drivers

2014 ◽  
Vol 1016 ◽  
pp. 365-369 ◽  
Author(s):  
Pedro Albuquerque ◽  
Pedro Gamboa ◽  
Miguel Silvestre
Keyword(s):  
Design Methodology ◽  
Aircraft Design ◽  
Design Parameters ◽  
Flight Performance ◽  
Air Cargo ◽  
Main Design ◽  
Design Specifications ◽  
Performance Requirements ◽  
Aircraft Performance

The present work describes an aircraft design methodology that uses the wingspan and its mean aerodynamic chord as main design parameters. In the implemented tool, low fidelity models have been developed for the aerodynamics, stability, propulsion, weight, balance and flight performance. A Fortran® routine that calculates the aircraft performance for the user defined mission and vehicle’s performance requirements has been developed. In order to demonstrate this methodology, the results for a case study using the design specifications of the Air Cargo Challenge 2013 are shown.

scholarly journals A CASE STUDY OF THE IRANIAN NATIONAL RAILWAY AND ITS ABSOLUTE CAPACITY EXPANSION USING ANALYTICAL MODELS

Transport ◽  
2015 ◽  
Vol 32 (4) ◽  
pp. 398-414 ◽  
Author(s):  
Bayan Bevrani ◽  
Robert L. Burdett ◽  
Prasad K. D. V Yarlagadda
Keyword(s):  
Sensitivity Analysis ◽  
Traffic Flow ◽  
Upper Bounds ◽  
Analytical Models ◽  
Optimization Approach ◽  
Lower And Upper Bounds ◽  
Train Services ◽  
Railway Capacity ◽  
Capacity Determination

Identifying railway capacity is an important task that can identify ‘in principal’ whether the network can handle an intended traffic flow, and whether there is any free capacity left for additional train services. Capacity determination techniques can also be used to identify how best to improve an existing network, and at least cost. In this article, an optimization approach has been applied to a case study of the Iran national railway, in order to identify its current capacity and to optimally expand it given a variety of technical conditions. This railway is very important in Iran and will be upgraded extensively in the coming years. Hence, the conclusions in this article may help in that endeavor. A sensitivity analysis is recommended to evaluate a wider range of possible scenarios. Hence, more useful lower and upper bounds can be provided for the performance of the system.

Robust Design Through the Use of a Hybrid Genetic Algorithm

2002 ◽  
Author(s):  
Kurt Hacker ◽  
Kemper Lewis
Keyword(s):  
Robust Design ◽  
Hybrid Genetic Algorithm ◽  
Design Parameters ◽  
Optimization Approach ◽  
Engineering Systems ◽  
Local Optima ◽  
Good Design ◽  
Mean And Variance ◽  
The Mean

In this paper we present a hybrid optimization approach to perform robust design. The motivation for this work is the fact that many realistic engineering systems are mutimodal in nature with multiple local optima, and moreover may have one or more uncertain design parameters. The approach that is presented utilizes both local and global optimization algorithms to find good design points more efficiently than either could alone. The mean and variance of the objective function at a design point is calculated using Monte Carlo simulation and is used to drive the optimization process. To demonstrate the usefulness of this approach a case study is considered involving the design of a beam with dimensional uncertainty.

Thermal and economical optimization for a finned-tube, air-cooled condenser design of a roof-top bus air-conditioning system

2007 ◽  
Vol 221 (11) ◽  
pp. 1363-1375 ◽  
Author(s):  
M Khamis Mansour ◽  
M N Musa ◽  
M N Wan Hassan
Keyword(s):  
Air Conditioning ◽  
Optimization Technique ◽  
Finned Tube ◽  
Frontal Area ◽  
Coefficient Of Performance ◽  
Design Parameters ◽  
Optimization Approach ◽  
Air Conditioning System ◽  
Economical Optimization ◽  
Tube Condenser

The current paper presents a methodology of a design optimization technique that can be useful in assessing the best configuration of a finned-tube condenser, using a thermal and economical optimization approach. The assessment has been carried out on an air-cooled finned-tube condenser of a vapour compression cycle for a roof-top bus air-conditioning system at a specified cooling capacity. The methodology has been conducted by studying the effect of some operational and geometrical design parameters for the condenser on the entire cycle exergy destruction or irreversibility, air-conditioning system coefficient of performance (COP), and total annual cost. The heat exchangers for the bus air-conditioning system are featured by a very compact frontal area due to the stringent space limitations and structure standard for the system installation. Therefore, the current study also takes in its account the effect of the varying design parameters on the condenser frontal area. The irreversibility due to heat transfer across the stream-to-stream temperature-difference and due to frictional pressure-drops is calculated as a function of the design parameters. A cost function is introduced, defined as the sum of two contributions, the investment expense of the condenser material and the system compressor, and the operational expense of air-conditioning system, which is usually driven by an auxiliary engine or coupled with the main bus engine. The optimal trade-off between investment and operating cost is therefore investigated. A numerical example is discussed, in which, a comparison between the commercial condenser design and optimal design configuration has been presented in terms of the system COP and condenser material cost. The results show that a significant improvement can be obtained for the optimal condenser design compared to that of the commercial finned-tube condenser, which is designed based on the conventional values of the design parameters.

Tolerance Allocation and Calibration With Limited Empirical Data

2016 ◽  
Author(s):  
Anton v. Beek ◽  
Mian Li
Keyword(s):  
Experimental Data ◽  
Tolerance Analysis ◽  
Physical World ◽  
Experimental Models ◽  
Tolerance Allocation ◽  
Analytical Models ◽  
Design Parameters ◽  
Calibration Techniques ◽  
Data Acquiring

Uncertainties are inherent to the physical world, which has made them a prominent field of research. They manifest themselves in many fields of engineering, one of which is known as tolerance analysis, where engineers attempt to predict system performance affected by the tolerance through analytical models. Ordinarily, discrepancies between analytical and experimental models are overcome by calibration techniques, using experimental data. Acquiring experimental data becomes a monetary expensive endeavor, when performed on assemblies with relative large design parameters. This work presents a methodology to formulate and calibrate analytical models, using Bayesian inference and Gaussian processes. The advantage of this methodology is that it uses a single set of overall performance experimental data, with a more accurate result than conventional methods. Subsidiary to the proposed methodology is a case study, vindicating as well as illustrating its transcendence from the confining extremities delineated by the panoply of current tolerance analysis and calibration techniques.

scholarly journals Antenna array synthesis using a newly evolved optimization approach: Strawberry algorithm

2019 ◽  
Vol 70 (4) ◽  
pp. 317-322 ◽  
Author(s):  
Konidala R. Subhashini
Keyword(s):  
Antenna Array ◽  
Optimization Technique ◽  
Beam Width ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Optimization Approach ◽  
Circular Array ◽  
First Time ◽  
Antenna Array Synthesis

Abstract An attempt has been made for the first time to apply this proposed Strawberry optimization technique to antenna array synthesis problem. The case study cited here refer to linear and circular array configurations. The design constraints are limited to minimizing the side lobe level and restricting the first null beam width, which play significant roles in antenna array performances. The key parameters which greatly influence in achieving the said objectives are either placement of antenna elements or amplitudes of excitations of these elements or both. And the recently reported meta heuristic nature inspired optimization algorithms have addressed to these problems quite effectively and the exciting result obtained using the said approach has undoubtedly proved the strawberry algorithm as a potential contender in the optimization domain.

A Methodology for Optimal Lightweight Design of Moulds and Dies: A Case Study

2015 ◽  
Author(s):  
Yi Nie ◽  
Yueh-Jaw Lin ◽  
Wei Sun ◽  
Tao Huang
Keyword(s):  
Design Methodology ◽  
Functional Performance ◽  
Positive Impact ◽  
Lightweight Design ◽  
Die Design ◽  
Design Parameters ◽  
Mass Reduction ◽  
Mechanical Parts ◽  
Extrusion Die

Attaining lightweight design of mechanical parts and components is an ever-lasting goal of designers during design process. In this paper, a systematic lightweight design methodology is proposed for mould and die design enabling us to avoid conventional ways of empirical approaches, leading to substantial cost reduction in part’s material utilization and minimizing environmental impacts in product realization. At the initial stage, the characteristics of a lightweight mould or die are identified using the so-called lightweight coefficient defined as the ratio of the part’s functional performance to its mass. The proposed design methodology was implemented to attain an optimum lightweight coefficient resulting in desirable mass reduction as well as overall functional performance improvements of the final products. In the case study, the design was started with numerical simulation to model the process-part interaction for a typical extrusion operation, which allowed the identification of the numerical design parameters that affect the required performances as well as the threshold values that must be met. Structural optimization scheme was then employed to achieve the targeted performances with structural components of minimum mass by applying the design criterion of reducing the thickness of components’ walls. The study was done on the redesign of an actual polymer pipe extrusion die. The results showed that 21.67% (3325.26 kg) mass reduction of the underlying extrusion die, together with the evaluated increase of lightweight coefficient by 25.23%, could be obtained with the specified performances of productivity, static stiffness, compressive strength and assembly property satisfied. All in all, this work provides a foundation for dealing with lightweight mechanical parts design aimed at conventional heavy duty machine components with complex functionalities such as moulds and dies. The proposed lightweight coefficient design methodology proves to be effective in reducing parts’ weight without sacrificing the part’s specifications and desired functionalities. In future work other design criteria such as shortening the length of the flow channel or reducing the number of assembly parts are to be investigated to further improve the design outcomes. Moreover, life cycle assessment (LCA) will be performed to evaluate the positive impact of lightweight design on the environment due to material saving and machining wastes reduction in realizing the parts.

An Optimization Approach to the Displacement Volumes for External Spur Gear Pumps

2008 ◽  
Vol 594 ◽  
pp. 57-71 ◽  
Author(s):  
Kuo Jao Huang ◽  
Wen Ruey Chang ◽  
Wun Chuan Lian
Keyword(s):  
Optimal Design ◽  
Spur Gear ◽  
Design Parameters ◽  
Optimization Approach ◽  
Spur Gears ◽  
Optimization Analysis ◽  
External Gear Pumps ◽  
Design And Manufacturing ◽  
Gear Pumps ◽  
Involute Curve

To increase volume displacement is always concerning in designing external gear pumps (EGPs). Therefore, an approach of optimization analysis intending to enhance their displacement capability is proposed in this study. Through that, design parameters of the spur gears in the pumps are systematically resulted to achieve their optimal volume displacements. Parametrically, a CAD model to visualize the designed gear of the optimal design is also created. Firstly, the study derives tooth profile equations by using the coordinate transformation and equation of meshing for gears on a rack cutter profile. Then, an analytic formula represented the enveloping area by an involute curve is derived. Next, volumes of output and trapped backflow of the EGP are achieved. Therefore the net output volume can be calculated accurately and efficiently. After that, the optimization analysis to maximize the volume displacement is performed. Through that, optimal design parameters for the pumps are achieved under assigned constraints for considerations of design and manufacturing. Additionally, influences of module, pressure angle, and addendum correction factor for the gears in the pumps on their displacement capability are also investigated. Additionally, flowrate fluctuation characteristics under different pressure angles of gears are finally discussed.

Multi-Objective Optimization Technique Applied to Preliminary Design of a Tanker

2008 ◽  
Author(s):  
Marcelo R. Martins ◽  
Diego F. S. Burgos
Keyword(s):  
Genetic Algorithm ◽  
Early Stage ◽  
Optimization Technique ◽  
Pareto Frontier ◽  
Design Parameters ◽  
Preliminary Design ◽  
Multi Objective Optimization ◽  
Total Cost ◽  
Rational Process

This paper shows one rational process of selecting the optimal dimensions and coefficients of form of tankers using the technique of genetic algorithm in the early stage of design. Two objective attributes are used to evaluate each design: Total Cost and Mean Oil Outflow. It is proposed a procedure to balance the designs in weight and useful space and assesses their feasibility. A genetic algorithm is implemented to search optimal design parameters and identify the non-dominated Pareto frontier. A real Suezmax vessel is used as case study.

scholarly journals APPLICATION OF DOMAIN INTEGRATED DESIGN METHODOLOGY FOR BIO-INSPIRED DESIGN- A CASE STUDY OF SUTURE PIN DESIGN

2021 ◽  
Vol 1 ◽  
pp. 487-496
Author(s):  
Pavan Tejaswi Velivela ◽  
Nikita Letov ◽  
Yuan Liu ◽  
Yaoyao Fiona Zhao
Keyword(s):  
Cross Sections ◽  
Design Methodology ◽  
Reaction Force ◽  
Integrated Design ◽  
Total Deformation ◽  
Insertion Force ◽  
Force Reaction ◽  
The Moment ◽  
Work Done

AbstractThis paper investigates the design and development of bio-inspired suture pins that would reduce the insertion force and thereby reducing the pain in the patients. Inspired by kingfisher's beak and porcupine quills, the conceptual design of the suture pin is developed by using a unique ideation methodology that is proposed in this research. The methodology is named as Domain Integrated Design, which involves in classifying bio-inspired structures into various domains. There is little work done on such bio-inspired multifunctional aspect. In this research we have categorized the vast biological functionalities into domains namely, cellular structures, shapes, cross-sections, and surfaces. Multi-functional bio-inspired structures are designed by combining different domains. In this research, the hypothesis is verified by simulating the total deformation of tissue and the needle at the moment of puncture. The results show that the bio-inspired suture pin has a low deformation on the tissue at higher velocities at the puncture point and low deformation in its own structure when an axial force (reaction force) is applied to its tip. This makes the design stiff and thus require less force of insertion.

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