Search results for "Optimization"

showing 10 items of 2824 documents

Mechatronic Design for an Extrusion-Based Additive Manufacturing Machine

2017

3D printers, especially in the implementation of innovative extrusion processes which do not have a long history of development, are often built by adapting mechanical designs, drives and controls previously developed for generic machine tools. This is done through a process of choice and integration which is based principally on empirical criteria and taking into account separately the different aspects and parameters. Hereafter, we present an integrated mechatronic approach which has been adopted to design from the scratch a machine to implement the innovative metal injection moulding (MIM) technology. Its extrusion rate involves the adaptation of the generated trajectories and consequent…

0209 industrial biotechnologyEngineeringTest benchlinear deltaControl and Optimizationbusiness.product_categorymechatronic design; MIM; linear delta; control system; additive manufacturinglcsh:Mechanical engineering and machineryPlastics extrusion02 engineering and technologyWorkspaceDegrees of freedom (mechanics)Industrial and Manufacturing EngineeringSetpoint020901 industrial engineering & automationComputer Science (miscellaneous)lcsh:TJ1-1570Electrical and Electronic Engineeringbusiness.industryMechanical EngineeringControl engineeringMechatronicsMIM021001 nanoscience & nanotechnologyMachine toolControl and Systems EngineeringControl systemmechatronic designcontrol system0210 nano-technologybusinessadditive manufacturingMachines; Volume 5; Issue 4; Pages: 29
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Dynamic Response of a Rigital Displacement Motor Operating with Various Displacement Strategies

2019

Digital displacement technology has the potential of revolutionizing the performance of hydraulic piston pumps and motors. Instead of connecting each cylinder chamber to high and low pressure in conjunction with the shaft position, two electrically-controlled on/off valves are connected to each chamber. This allows for individual cylinder chamber control. Variable displacement can be achieved by using different displacement strategies, like for example the full stroke, partial stroke, or sequential partial stroke displacement strategy. Each displacement strategy has its transient and steady-state characteristics. This paper provides a detailed simulation analysis of the transient and steady…

0209 industrial biotechnologyExperimental validationControl and OptimizationSteady state (electronics)Digital displacement motorComputer scienceEnergy Engineering and Power Technology02 engineering and technologyVariable displacement01 natural scienceslcsh:Technologylaw.inventionCylinder (engine)PistonTransient response020901 industrial engineering & automationlawControl theoryexperimental validation0103 physical sciencesCylinderDisplacement (orthopedic surgery)Stroke (engine)Transient responsedisplacement strategiesElectrical and Electronic Engineeringsteady-state response010301 acousticsEngineering (miscellaneous)Steady-state responseRenewable Energy Sustainability and the Environmentlcsh:TModelingmodelingDisplacement strategiestransient responseHydraulic cylinderVDP::Teknologi: 500digital displacement motordigital displacement motor; displacement strategies; transient response; steady-state response; modeling; experimental validationTransient (oscillation)Energy (miscellaneous)
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Ultrasonic Welding of PBT-GF30 (70% Polybutylene Terephthalate + 30% Fiber Glass) and Expanded Polytetrafluoroethylene (e-PTFE)

2021

The ultrasonic welding of polymeric materials is one of the methods often used in practice. However, each couple of material subjected to ultrasonic welding is characterized by different values of technological parameters. Therefore, the main objective of the research presented in this paper is to optimize the parameters for the ultrasonic welding of two materials, namely PBT-GF30 (70% polybutylene terephthalate + 30% fiber glass) and expanded polytetrafluoroethylene (e-PTFE). In this sense, the research was carried out considering a plate-type part made of PBT-GF30, which had a thickness of 2.1 mm, and a membrane-type part made of e-PTFE, with a thickness of 0.3 mm. The condition imposed o…

0209 industrial biotechnologyMaterials sciencePolymers and PlasticsBar (music)PBT-GF30 (70% polybutylene terephthalate + 30% fiber glass)02 engineering and technologyExpanded polytetrafluoroethyleneWeldingArticleultrasonic weldinglaw.inventionlcsh:QD241-441chemistry.chemical_compound020901 industrial engineering & automationlcsh:Organic chemistrylawparameter optimizationComposite materialHolding timeUltrasonic weldingFiber glassGeneral Chemistry021001 nanoscience & nanotechnologyPolybutylene terephthalatechemistry0210 nano-technologyexpanded polytetrafluoroethylene (e-PTFE)Layer (electronics)Polymers
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Decorous combinatorial lower bounds for row layout problems

2020

Abstract In this paper we consider the Double-Row Facility Layout Problem (DRFLP). Given a set of departments and pairwise transport weights between them the DRFLP asks for a non-overlapping arrangement of the departments along both sides of a common path such that the weighted sum of the center-to-center distances between the departments is minimized. Despite its broad applicability in factory planning, only small instances can be solved to optimality in reasonable time. Apart from this even deriving good lower bounds using existing integer programming formulations and branch-and-cut methods is a challenging problem. We focus here on deriving combinatorial lower bounds which can be compute…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceLinear programmingComputer scienceHeuristicConnection (vector bundle)0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchStar (graph theory)Industrial and Manufacturing EngineeringSet (abstract data type)020901 industrial engineering & automationModeling and SimulationFactory (object-oriented programming)Pairwise comparisonFocus (optics)Integer programmingEuropean Journal of Operational Research
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Mathematical models for a cutting problem in the glass manufacturing industry

2021

Abstract The glass cutting problem proposed for the ROADEF 2018 challenge is a two-dimensional, three-stage guillotine cutting process, with an additional cut to obtain pieces in some specific situations. However, it is not a standard problem because it includes specific constraints. The sheets produced in the glass manufacturing process have defects that make them different and have to be used in order. The pieces to be cut are grouped into subsets and the pieces from each subset must be cut in order. We approach the problem by developing and solving integer linear models. We start with the basic model, which includes the essential features of the problem, as a classical three-stage cuttin…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementMathematical modelComputer scienceStrategy and Management0211 other engineering and technologiesLinear modelProcess (computing)02 engineering and technologyManagement Science and Operations ResearchStandard problem020901 industrial engineering & automationCutting stock problemGlass manufacturingTrimmingInteger (computer science)Omega
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Sampled Fictitious Play on Networks

2019

We formulate and solve the problem of optimizing the structure of an information propagation network between multiple agents. In a given space of interests (e.g., information on certain targets), each agent is defined by a vector of their desirable information, called filter, and a vector of available information, called source. The agents seek to build a directed network that maximizes the value of the desirable source-information that reaches each agent having been filtered en route, less the expense that each agent incurs in filtering any information of no interest to them. We frame this optimization problem as a game of common interest, where the Nash equilibria can be attained as limit…

0209 industrial biotechnologyMathematical optimization021103 operations researchOptimization problemComputer scienceNode (networking)Frame (networking)0211 other engineering and technologies02 engineering and technologyFilter (signal processing)Fictitious playsymbols.namesake020901 industrial engineering & automationNash equilibriumLimit pointKey (cryptography)symbols
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A strategic oscillation simheuristic for the Time Capacitated Arc Routing Problem with stochastic demands

2021

Abstract The Time Capacitated Arc Routing Problem (TCARP) extends the classical Capacitated Arc Routing Problem by considering time-based capacities instead of traditional loading capacities. In the TCARP, the costs associated with traversing and servicing arcs, as well as the vehicle’s capacity, are measured in time units. The increasing use of electric vehicles and unmanned aerial vehicles, which use batteries of limited duration, illustrates the importance of time-capacitated routing problems. In this paper, we consider the TCARP with stochastic demands, i.e.: the actual demands on each edge are random variables which specific values are only revealed once the vehicle traverses the arc. …

0209 industrial biotechnologyMathematical optimization021103 operations researchTraverseGeneral Computer ScienceUnit of timeComputer science0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchArc (geometry)020901 industrial engineering & automationModeling and SimulationEnhanced Data Rates for GSM EvolutionDuration (project management)Routing (electronic design automation)Arc routingRandom variableComputers & Operations Research
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Meta-heuristic Algorithms for Nesting Problem of Rectangular Pieces

2017

Abstract Nesting problems consist of placing multiple items onto larger shapes finding a good arrangement. The goal of the nesting process is to minimize the waste of material. It is common to assume, as in the present work, that the stock sheet has fixed width and infinite height, since in the real world a company may have to cut pieces from a roll of material. The complexity of such problems is often faced with a two-stage approach, so-called “hybrid algorithm”, combining a placement routine and a meta-heuristic algorithm. Starting from a given positioning sequence, the placement routine generates a non-overlapping configuration. The encoded solution is manipulated and modified by the met…

0209 industrial biotechnologyMathematical optimization021103 operations researchbusiness.industry0211 other engineering and technologiesNesting (process)No Fit Polygon algorithm.Sheet metal optimisation02 engineering and technologyGeneral MedicineGeometric problemsSheet metal optimisation; meta-heuristic algorithm; No Fit Polygon algorithm.020901 industrial engineering & automationSoftwaremeta-heuristic algorithmPython languageNo fit polygonMeta heuristicbusinessAlgorithmFixed widthSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMathematics
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Forecasting portfolio returns using weighted fuzzy time series methods

2016

We propose using weighted fuzzy time series (FTS) methods to forecast the future performance of returns on portfolios. We model the uncertain parameters of the fuzzy portfolio selection models using a possibilistic interval-valued mean approach, and approximate the uncertain future return on a given portfolio by means of a trapezoidal fuzzy number. Introducing some modifications into the classical models of fuzzy time series, based on weighted operators, enables us to generate trapezoidal numbers as forecasts of the future performance of the portfolio returns. This fuzzy forecast makes it possible to approximate both the expected return and the risk of the investment through the value and a…

0209 industrial biotechnologyMathematical optimizationActuarial scienceSeries (mathematics)Mathematics::General MathematicsComputer scienceApplied MathematicsFuzzy set02 engineering and technologyFuzzy logicDefuzzificationTheoretical Computer Science020901 industrial engineering & automationArtificial Intelligence0202 electrical engineering electronic engineering information engineeringExpected returnPortfolioFuzzy number020201 artificial intelligence & image processingPortfolio optimizationSoftwareInternational Journal of Approximate Reasoning
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