Optimum Design of Wheeled Loader's Steering Rubber Buffer Seat Based on ANSYS

2011 ◽  
Vol 201-203 ◽  
pp. 1217-1222
Author(s):  
Hu Qi Wang ◽  
Xuan Xiao ◽  
Xi Rong Luo
Keyword(s):  
Mathematical Model ◽  
Optimal Design ◽  
Design Method ◽  
Element Model ◽  
Optimized Design ◽  
Module Design ◽  
Design Variables ◽  
Optimization Calculation ◽  
The Right ◽  
Market Volume

Steering rubber buffer seat of loader is one of important methods to enhance the operating comfort of machine. This article detailed identified the design variables, constraint functions and the objective function of the rubber buffer seat's optimal design model. It combined with project experience and based on the analysis of rubber buffer seat's bearing features in the right, and established the correct mathematical model of optimal design in theory. Then, based on ANSYS software's optimized design module "Design Opt", completed set of all calculated parameters by the operations of alternate interface, thus created a rubber buffer seat's finite element model of optimization calculation. Optimized iterative calculations later, got the result of the final optimized design. After the optimized design, rubber buffer seat has been used in the market volume, it's very useful, so this design method is proved correct and reasonable.

Optimization Research on Dynamic Balance of Spatial Engine under Limiting Shaking Moment

2009 ◽  
Vol 626-627 ◽  
pp. 693-698
Author(s):  
Yong Yong Zhu ◽  
S.Y. Gao
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Kinetic Analysis ◽  
Optimization Design ◽  
Design Method ◽  
Dynamic Balance ◽  
Optimized Design ◽  
Design Variables ◽  
The Mathematical Model ◽  
Shaking Moment

Dynamic balance of the spatial engine is researched. By considering the special wobble-plate engine as the model of spatial RRSSC linkages, design variables on the engine structure are confirmed based on the configuration characters and kinetic analysis of wobble-plate engine. In order to control the vibration of the engine frame and to decrease noise caused by the spatial engine, objective function is choosed as the dimensionless combinations of the various shaking forces and moments, the restriction condition of which presents limiting the percent of shaking moment. Then the optimization design is investigated by the mathematical model for dynamic balance. By use of the optimization design method to a type of wobble-plate engine, the optimization process as an example is demonstrated, it shows that the optimized design method benefits to control vibration and noise on the engines and improve the performance practically and theoretically.

Frequency Optimal Design Method and Application

2011 ◽  
Vol 201-203 ◽  
pp. 1279-1283
Author(s):  
Shou Yi Bi ◽  
Xing Pei Liang
Keyword(s):  
Optimal Design ◽  
Design Method ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Mathematical Optimization ◽  
Element Model ◽  
Optimization Method ◽  
Finite Model ◽  
Design Variables ◽  
Analysis System

A program for frequency optimal design of structure composed of bar, beam, plate is developed based on finite analysis system ZR[1] that finite element model, including mesh generation of truss element, beam element and plate element, is automatically generated. Because of integrated with three dimensional CAD, specification of boundary conditions and design variables can be finished based on the three dimensional CAD model, so user need not deal with nodal and element of finite model in the procedure of forming finite model and specifying mathematical problem for optimization. This paper introduces a new method how to insert the frequency sensitivity analysis process into the structural analysis program, integrate mathematical optimization method and design structure based frequency optimization. The program is applied to the optimal design of actual engineering. The results are acceptable.

scholarly journals Effects of Geometrical Parameters of Internal Blown Flap and Its Optimal Design

2020 ◽  
Vol 38 (1) ◽  
pp. 58-67
Author(s):  
Rui Liu ◽  
Junqiang Bai ◽  
Yasong Qiu ◽  
Guozhu Gao
Keyword(s):  
Optimal Design ◽  
Design Method ◽  
Lift Coefficient ◽  
Angle Of Attack ◽  
Chord Length ◽  
Geometrical Parameters ◽  
Design Constraint ◽  
Design Variables ◽  
Flap Deflection ◽  
Stall Angle

The internal blown flap was numerically simulated. Firstly, a parameterization method was developed, which can properly describe the shape of the internal blown flap according to such geometrical parameters as flap chord length, flap deflection, height of blowing slot and its position. Then the reliability of the numerical simulation was validated through comparing the pressure distribution of the CC020-010EJ fundamental generic circulation control airfoil with the computational results and available experiment results. The effects of the geometrical parameters on the aerodynamic performance of the internal blown flap was investigated. The investigation results show that the lift coefficient increases with the increase of flap chord length and flap deflection angle and with the decrease of height of blowing slot and its front position. Lastly, a method of optimal design of the geometrical parameters of the internal blown flap was developed. The design variables include flap chord length, flap deflection, height of blowing slot and its position. The optimal design is based on maximum lift coefficient, the angle of attack of 5 degrees and the design constraint of stall angle of attack of less than 9 degrees. The optimization results show that the optimal design method can apparently raise the lift coefficient of an internal blown flap up to 1.7.

Optimal Design of Solenoid Actuators Driving Butterfly Valves

2013 ◽  
Vol 135 (9) ◽  
Author(s):  
Peiman N. Mousavi ◽  
C. Nataraj
Keyword(s):  
Optimal Design ◽  
Intelligent Design ◽  
Simulated Annealing Algorithm ◽  
Dynamic Models ◽  
Optimized Design ◽  
Local Power ◽  
Design Variables ◽  
Annealing Algorithm ◽  
Nonlinear Dynamic Models ◽  
Full Consideration

Smart valves are used in cooling applications and are responsible for regulating and supplying the coolant, which is critical for safe and effective operation of many components on naval and commercial ships. In order to be operated under local power (for various mission-critical reasons) they need to consume as little energy as possible in order to ensure continued operability. This paper focuses on optimized design of a typical system using high fidelity nonlinear dynamic models for all the subsystems with full consideration of stability constraints. A simulated annealing algorithm is applied to explore optimal design using two sets of design variables. The results indicate that substantial amount of energy can be saved by an intelligent design that helps select parameters carefully, but also uses hydrodynamic loads to augment the closing effort.

scholarly journals Study on the optimal design of volume fracturing for shale gas based on evaluating the fracturing effect—A case study on the Zhao Tong shale gas demonstration zone in Sichuan, China

2021 ◽  
Vol 11 (4) ◽  
pp. 1705-1714
Author(s):  
Yongxue Lin ◽  
Shanyong Liu ◽  
Shuyang Gao ◽  
Yuan Yuan ◽  
Jia Wang ◽  
...  
Keyword(s):  
Optimal Design ◽  
Shale Gas ◽  
Optimization Design ◽  
Design Method ◽  
Microseismic Monitoring ◽  
Liquid Volume ◽  
Hydraulic Fractures ◽  
Optimized Design ◽  
Gas Wells ◽  
Volume Fracturing

AbstractHydraulic fracturing is the key technology in the development of shale gas reservoirs, and it mainly adopts volume fracturing technology to communicate hydraulic fractures with natural fractures to increase the drainage area. In view of the difficulty in characterizing the complex fractures created by multistaged fracturing in horizontal shale gas wells and the immaturity of fracturing optimization design methods, this study first evaluated the stimulation effect of fracturing technology based on treatment data and microseismic data. Then, the fracture characteristics after frac were considered, and a post-frac simulation was studied based on the discrete fracture network (DFN) model and the microseismic monitoring data as constraints. Finally, from the simulation results, an optimal design method of volume fracturing for shale gas was proposed based on the evaluation of the frac effects. The National Shale Gas Demonstration Zone in Zhaotong, Sichuan Basin was used as an example to study the optimal frac design of shale gas wells. The results show that (1) after optimizing the design, the optimal interval range is 50–70 m, the liquid volume of a single stage is 1800–2200 m3, the amount of sand is 80 m~120 t, and the slurry rate is 10–12 m3/min. (2) Two different frac design schemes were implemented in two wells on the same platform, and the production of the optimized design scheme was 14.7% greater than the original scheme. Therefore, the frac optimization design based on evaluating the fracturing effect can better guide the development of subsequent shale gas wells in this area.

A methodological approach for the optimal design of the toroidal field coils of a Tokamak device using artificial intelligence

2021 ◽  
Author(s):  
Giordano Tomassetti ◽  
Gianluca De Marzi ◽  
Chiarasole Fiamozzi Zignani ◽  
Francesco Giorgetti ◽  
Antonio della Corte
Keyword(s):  
Optimal Design ◽  
Power Plants ◽  
Methodological Approach ◽  
Electrical Power ◽  
Cost Effective ◽  
Toroidal Field ◽  
Double Layers ◽  
Optimized Design ◽  
Design Variables ◽  
Discrete Design Variables

Abstract As prototypes of future commercial Tokamaks, DEMOs nuclear fusion power plants are expected to be able to produce cost-effective electrical power. In this view, an optimized design becomes crucial in the whole engineering workflow. Up to now, the design of one of the most critical components, the cross-section of each of the toroidal field coils inner leg winding pack, was performed using a sequential trial-and-error procedure. In this work, a novel comprehensive approach is proposed to include all the main design aspects into a unified tool taking advantage of Artificial Neural Networks (ANNs) for faster computation in finding optimal design configurations. This procedure overcomes several difficulties including dealing with both real-valued and discrete design variables, the significant CPU-time of magneto-structural analysis and also guarantees the optimality for the winding pack configuration. The proposed methodology was demonstrated for the 2019 ENEA DEMO configuration which includes 16 toroidal field coils, made-up of 6 3 double layers and a Wind & React manufacturing technique.

scholarly journals Design and Analysis of Robust Total Joint Replacements: Finite Element Model Experiments With Environmental Variables

2001 ◽  
Vol 123 (3) ◽  
pp. 239-246 ◽  
Author(s):  
Paul B. Chang ◽  
Brian J. Williams ◽  
Kanwaljeet Singh Bawa Bhalla ◽  
Thomas W. Belknap ◽  
Thomas J. Santner ◽  
...  
Keyword(s):  
Optimal Design ◽  
Environmental Factors ◽  
Bone Remodeling ◽  
Computer Simulations ◽  
Element Model ◽  
Environmental Distribution ◽  
Joint Force ◽  
Design Variables ◽  
Analysis Technique ◽  
Bone Elastic Modulus

Computer simulations of orthopaedic devices can be prohibitively time consuming, particularly when assessing multiple design and environmental factors. Chang et al. (1999) address these computational challenges using an efficient statistical predictor to optimize a flexible hip implant, defined by a midstem reduction, subjected to multiple environmental conditions. Here, we extend this methodology by: (1) explicitly considering constraint equations in the optimization formulation, (2) showing that the optimal design for one environmental distribution is robust to alternate distributions, and (3) illustrating a sensitivity analysis technique to determine influential design and environmental factors. A thin midstem diameter with a short stabilizing distal tip minimized the bone remodeling signal while maintaining satisfactory stability. Hip joint force orientation was more influential than the effect of the controllable design variables on bone remodeling and the cancellous bone elastic modulus had the most influence on relative motion, both results indicating the importance of including uncontrollable environmental factors. The optimal search indicated that only 16 to 22 computer simulations were necessary to predict the optimal design, a significant savings over traditional search techniques.

Optimized Design Method of Vehicle Suspension Systems Using a Reverse Engineering Approach

2008 ◽  
Author(s):  
Marco Gubitosa ◽  
Joris De Cuyper ◽  
Valerio Cibrario
Keyword(s):  
Reverse Engineering ◽  
Design Method ◽  
Sensitivity Analyses ◽  
Optimized Design ◽  
Automotive Market ◽  
Suspension Systems ◽  
Engineering Approach ◽  
Design Variables ◽  
Conflicting Demands ◽  
1D Modeling

Nowadays companies dealing with the automotive market, and in particular product designers, are facing with highly competitive environments though conflicting demands to deliver more complex products with increased quality in ever shorter development cycles. The usage of numerical simulations is therefore a confirmed technique going through the conceptual (1D) modeling towards a detailed digital mock-up to realize complex multibody (3D) simulations. The purpose of this paper is to develop a systematic design method for the suspension systems using CAE (Computer Aided Engineering) tools to investigate different properties which have influence on the ride & handling of a vehicle. Running a reverse engineering approach, the elasto-kinematic characteristics of different types of suspensions can be focused out and exported from a multibody environment (Virtual.Lab Motion has been chosen as example) as look-up tables to be read by a 1D multi-domain software (in the work here presented we used Imagine.Lab AMESim). Combined runs of sensitivity analyses and optimization cycles would then bring to the final goal of understanding the most suitable target behavior of the full system and the weight of different design variables on this, being hence able to directly address modifications of the global configuration.

scholarly journals A Two-Stage Building Information Modeling Based Building Design Method to Improve Lighting Environment and Increase Energy Efficiency

2019 ◽  
Vol 9 (19) ◽  
pp. 4076 ◽  
Author(s):  
Sha Liu ◽  
Xin Ning
Keyword(s):  
Life Cycle ◽  
Optimal Design ◽  
Building Information Modeling ◽  
Design Method ◽  
Building Design ◽  
Information Modeling ◽  
Optimized Design ◽  
Building Information ◽  
Lighting Environment ◽  
Building Designs

Buildings are one of the largest energy consumers in the world, and have great energy saving potential. Thermal systems and lighting systems take most of the energy in a building. Comparing with the optimization solutions developed for a thermal system, the research of improving the lighting system is insufficient. This study aims to improve the lighting environment and reduce the energy by optimizing the building design, which has the largest potential for cutting energy economically compared with the other stages in the life cycle of a building. Although many approaches have been developed for building design optimization, there is still one big problem obstructing their successful practices, in that the designers who take the responsibility of making building designs are not experts in building physics, thus they are not capable of calculating the most appropriate parameters and operating the professional software to optimize their designs. Therefore, this study proposes a user-friendly method for designers to improve building designs. Firstly, Building Information Modeling (BIM) and particle swarm optimization algorithm are applied to build an intelligent optimal design search system. The optimized design from this system can largely use daylighting for internal illumination and save energy. Secondly, different types of lighting control systems are compared and the one which can save maximal energy is added to the selected optimal design. A case study demonstrates that optimized designs generated by the proposed design method can save large amounts of life cycle energy and costs, and is effective and efficient.

Single Spur Gear Reducer Optimization Design Mathematical Modeling

2013 ◽  
Vol 273 ◽  
pp. 198-202
Author(s):  
Yu Xia Wang
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Optimal Design ◽  
Objective Function ◽  
Optimization Design ◽  
Spur Gear ◽  
Design Parameters ◽  
Constraint Function ◽  
Design Variables ◽  
The Mathematical Model

In a given power P, number of teeth than u, input speed and other technical conditions and requirements, find out a set of used a economic and technical indexes reach the optimal design parameters, realize the optimization design of the reducer, This paper determined unipolar standard spur gear reducer design optimization of the design variables, and then determine the objective function, determining constraint function, so as to establish the mathematical model.

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