How to Improve the Reactiveness and Efficiency of Embedded Multi-core Systems by Use of Probabilistic Simulation and Optimization Techniques

2014 ◽  
pp. 253-268
Author(s):  
Jürgen Mottok ◽  
Martin Alfranseder ◽  
Stefan Schmidhuber ◽  
Matthias Mucha ◽  
Andreas Sailer
Keyword(s):  
Optimization Techniques ◽  
Simulation And Optimization ◽  
Probabilistic Simulation

scholarly journals Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2169 ◽  
Author(s):  
Ana Ogando-Martínez ◽  
Javier López-Gómez ◽  
Lara Febrero-Garrido
Keyword(s):  
Modeling And Simulation ◽  
Open Source ◽  
Optimization Techniques ◽  
Lighting System ◽  
Street Lighting ◽  
Optimization Program ◽  
Simulation And Optimization ◽  
The Road ◽  
Road Lighting ◽  
Combined Use

This document addresses the development of a novel methodology to identify the actual maintenance factor of the luminaires of an outdoor lighting installation in order to assess their lighting performance. The method is based on the combined use of Radiance, a free and open-source tool, for the modeling and simulation of lighting scenes, and GenOpt, a generic optimization program, for the calibration of the model. The application of this methodology allows the quantification of the deterioration of the road lighting system and the identification of luminaires that show irregularities in their operation. Values lower than 9% for the error confirm that this research can contribute to the management of street lighting by assessing real road conditions.

Scenario Analyses for By‐Products Reuse in Integrated Steelmaking Plants by Combining Process Modeling, Simulation, and Optimization Techniques

2019 ◽  
Vol 90 (10) ◽  
pp. 1900150 ◽  
Author(s):  
Ismael Matino ◽  
Teresa Annunziata Branca ◽  
Barbara Fornai ◽  
Valentina Colla ◽  
Lea Romaniello
Keyword(s):  
Process Modeling ◽  
Optimization Techniques ◽  
Simulation And Optimization ◽  
Modeling Simulation ◽  
Scenario Analyses ◽  
By Products

Study on Modeling and Simulation of Digital Factory Technology in Complex Production Development

2011 ◽  
Vol 383-390 ◽  
pp. 2383-2389
Author(s):  
Shan Li ◽  
Yan En Wang ◽  
Bing Chen ◽  
Ting Yang ◽  
Qian Li Dong
Keyword(s):  
Service Oriented Architecture ◽  
Integrated Approach ◽  
Optimization Techniques ◽  
Simulation Technology ◽  
Production Engineering ◽  
Digital Factory ◽  
Simulation And Optimization ◽  
Planning And Control ◽  
Service Oriented ◽  
And Control

This paper describes an innovative systematic approach to factory automation. Northwestern Polytechnical University developed an Enterprise-level Digital fActory and its Simulation Platform, NPU-EDASP that adopted service-oriented architecture methodology to design and develop this software. In particular, it specifies the simulation technology within the NPU-EDASP platform to bridge the gape exits among products and production manufacturing process. In an advanced stage, simulation technology can be applied in the NPU-EDASP to enhance the operative production planning and control. Further, the combination of simulation and optimization techniques will improve and optimize material flow, resource utilization and logistics in production engineering processes. A case study of a model demonstrates that the NPU-EDASP digital factory offers an integrated approach to promote the ability of production engineering.

Simulation and Optimization of U-Bending Springback Using Genetic Algorithms

2011 ◽  
Vol 69 ◽  
pp. 17-22
Author(s):  
Lei Chen
Keyword(s):  
Genetic Algorithms ◽  
Optimization Technique ◽  
Dimensional Accuracy ◽  
Element Model ◽  
Optimization Techniques ◽  
Simulation And Optimization ◽  
Sheet Metal Parts ◽  
Blank Holding Force ◽  
Elastoplastic Materials ◽  
Updated Lagrangian

Springback during unloading affects the dimensional accuracy of sheet metal parts. This paper proposes a finite element model to predict springback with contact evolution between the sheet and dies. The underlying formulation is based on updated Lagrangian elastoplastic materials model. The solutions validated with experimental data of NUMISHEET’93 show more accurately. The effects of the variable blank holding force (VBHF) on springback results are investigated based on genetic algorithms (GAs) for the determination of the parameters in blank holding operations. It has been found that the GAs based optimization technique is very effective in solving this kind of problem. The difficulty of choosing correct starting values for the constants in the traditional optimization techniques has been completely overcome and the GAs technique provides a better chance to converge to the global minimum.

scholarly journals Operational analysis and safety audit for East York traffic network

2021 ◽  
Author(s):  
Sumit Bhasin
Keyword(s):  
Traffic Control ◽  
Site Investigation ◽  
Optimization Techniques ◽  
Second Phase ◽  
Traffic Network ◽  
Simulation And Optimization ◽  
Collection Data ◽  
A Site ◽  
Road Safety Audit

Enhancing the quality of road travel is one of the main challenges present day traffic engineers and planners face. Travel delays cause loss of millions of person hours each year; and the economic toll of road accidents is staggering. Thus, engineers are always looking at opportunities for reducing delays and accidents. This project evaluates the operational and safety deficiency in a traffic network of nine intersections in the East York region and recommends appropriate and feasible corrective measures. The first phase of the project deals with the evaluation of traffic operations in the network, using simulation and optimization techniques, while the second phase encompasses a road safety audit that attempts to reduce crashes and fatalities. The study reveals that the majority of the intersections in the network are failing operationally, with level of service (LOS) F typical. Although a reduction in delays is achieved by optimization, no substantive improvement in LOS can be obtained by optimization alone. It is recommended that geometry and operations of the critical intersections be altered to enhance quality of service. Analysis of collection data was supported by a site investigation; recommendations for improving safety include relocating traffic signs, improving pavement condition and lighting and installing additional traffic control devices.

scholarly journals Simulation and Optimization of Warpage of Fiber Reinforced using Human Behavior Based Optimization

2019 ◽  
Vol 8 (10) ◽  
pp. 296-302
Keyword(s):  
Human Behavior ◽  
Optimization Technique ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Optimization Techniques ◽  
Experimental Result ◽  
Fiber Reinforced ◽  
Simulation And Optimization ◽  
Behavior Based ◽  
Warpage Optimization

Warpage is one of the major defects in injection molding and this affects the quality of the materials. Some techniques are used to minimize the warpage by the changing the parameter settings. The optimization techniques were applied to the parameter to find the optimized value. The popular method in optimizing the parameter is Genetic Algorithm (GA) and this has the limitation of big stochastic components. The main objective of this research is to propose the Human Behavior Based Optimization (HBBO) in the warpage. This method doesn’t have large stochastic and has a fast convergence rate. The orthogonal Array is used to measure the warpage for the different parameter settings. The fiber reinforced component is used to measure the performance of the proposed method. The Back Propagation Neural Network is used to find the relationship between the warpage and other factors. Then optimization technique is applied to find the parameter value. The experimental result of the proposed HBBO method in Warpage optimization is compared with other existing method in warpage optimization. The HBBO method has the warpage of 0.0858 and the GA method has the warpage of 0.0953.

Resource budget for workface planning in industrial-construction

Facilities ◽  
2019 ◽  
Vol 37 (5/6) ◽  
pp. 292-312
Author(s):  
Ming Fung Francis Siu
Keyword(s):  
Oil Sands ◽  
Analytical Approach ◽  
Optimization Techniques ◽  
Work Package ◽  
Planning Practice ◽  
Industrial Construction ◽  
Content Type ◽  
Simulation And Optimization ◽  
Practical Implications ◽  
Resource Budget

Purpose The purpose of this paper is to develop a novel analytical approach for workface planning practice in industrial-construction sector such that the construction work package (CWP) resource budget can be sufficiently planned for delivering possible field installation work package (FIWP) schedules with work uncertainty. Design/methodology/approach The relationship between CWP resource budget and FIWP schedules is first elucidated based on workface planning practice. The literature of work packaging, workface planning and project scheduling is reviewed. A novel analytical approach is then developed to quantify CWP resource budget based on a probability theory, in consideration of the probability of occurrence of feasible FIWP schedules formulated based on a resource scheduling approach. The results of case studies given by the new approach are cross validated by using simulation and optimization techniques. Findings The new analytical approach can assist workface planning by quantifying the expected CWP resource budget to deliver the FIWP work scope with certain activities that are planned at project level and with uncertain activities that are found at workface level. Practical implications The new analytical approach helps project and workface planners to reliably deploy CWP resource budget for delivering FIWP schedules instead of guessing the budget based on experience. An industrial-construction project for upgrading oil-sands refinery facility is used to show the practical implications. Originality/value This research develops a new analytical approach for workface planning practice to determine sufficient CWP resource budget for delivering feasible FIWP schedules with work uncertainty.

Determination of stress–strain curves of materials at high strain rates using dynamic indentation technique

2020 ◽  
pp. 030932472094864
Author(s):  
Samaneh Pourolajal ◽  
Gholam Hossein Majzoobi
Keyword(s):  
Indentation Depth ◽  
Indentation Test ◽  
Material Model ◽  
Optimization Techniques ◽  
Strain Rates ◽  
Stress Strain ◽  
Dynamic Indentation ◽  
Simulation And Optimization ◽  
Load Indentation

Determination of dynamic behaviour of materials is a serious challenge in mechanics of materials. In this investigation, a new approach is proposed to obtain stress–strain curves of metals from dynamic indentation test. This approach is based on a combined experiment, simulation, and optimization techniques. In the experiment side, a conical penetrator is shot against the material as the target. The load–indentation depth curve is obtained from the dynamic indentation test. The indentation test is simulated using Ls-dyna and the numerical load–indentation depth is obtained from the simulation. The stress–strain curves are defined by Johnson–Cook material model. From optimization of the difference between the experimental and numerical load–indentation depth curves, the constants of the material model are identified. The material model is validated also by stress–strain curves obtained from quasi-static test conducted using Instron and dynamic tests conducted using Split Hopkinson Bar. The results show a close agreement between the model prediction and the experimental stress–strain curves for different strain rates.

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