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Comparative Life Cycle Analysis of Materials in Wastewater Piping systems

Procedia engineering 2015年 118卷 1177-1188页

作者： Ehsan Vahidi Enze Jin Maithilee Das Mansukh Singh Fu Zhao Division of Environmental and Ecological Engineering Purdue University West Lafayette Indiana 47907 United States Ecological Sciences and Engineering Interdisciplinary Graduate Program Purdue University West Lafayette Indiana 47907 United States School of Mechanical Engineering Purdue University West Lafayette Indiana 47907 United States

Over the past decades, dramatic increases in population and quality of life have led to an ever-growing need for wastewater infrastructure systems. Designing and applying novel pipelines with lower installation and long-term operation and maintenance expense will become crucial in the near future for the implementation of the best environmental management strategies. In this paper, a comparative life cycle analysis (LCA) was performed for four different types of wastewater pipe materials: composite fiber reinforced Polymer (FRP), PVC, ductile iron, and concrete. The functional unit in our analysis was defined as the infrastructure needed for the collection and transportation of one cubic meter of waste water from a city for a period of 50 years. Assuming a city that has a population of 200,000 and generates 0.3 cubic meter of wastewater per person per day, the reference flow for the above assumed functional unit can be deduced. Considering various life cycle stages, environmental impacts such as “ozone layer depletion”, eco-toxicity”, and “energy consumption” were quantified and compared for all pipe materials. The results show the production phase has the maximum impact among the different phases of all pipe manufacturing and within different environmental impacts; fossil fuel is the largely affected area in all piping systems and among the four pipes, ductile iron has the maximum impact and PVC has the minimum impact on most of these areas.

关键词： Life cycle analysis wastewater piping materials ductile iron concrete fiber reinforced Polymer (FRP) PVC.

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Decision making for rapid prototyping technologies of sustainable products

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Chemical engineering Transactions 2014年第Special Issue期39卷 529-534页

作者： Junior, Osíris Canciglieri Oliveira Sant'Anna, Angelo Márcio Machado, Luis Carlos Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceicao street Curitiba1155 Brazil National Service for Industrial Training Candido de Abreu street 200 Curitiba Brazil

ISBN: (纸本)9788895608303

The prototyping of products by additive and subtractive technology can vary in: quality, time and costs, depending on the characteristics of the products. The selection of technology often is conditioned the decision of the designer/engineer or operator because of the type of material, size and accuracy. Furthermore, the need to incorporate environmental and sustainable attribute has been addressed by important factors that can facilitate the different approaches that act on sustainable product diversity. This paper presents a decision making model to assist the selection of rapid prototyping technology more adequate on sustainable product conception. This proposes focus to improve all aspects of the triangle called "cost-quality-Time" and provides an effective design of sustainable product, process and its manufacturing. We used the concepts of Design for Manufacturing, Computer Aided Design, Rapid Product Development and Sustainable Development for one sustainable product of relevant structure and material (lightweight dual) to evaluate and validate the proposed model. In the lightweight dual product from the additive process (SLS technology) has been most successful in view of the purpose of the product and its functions, lower cost, shorter execution time, good surface finish, dimensional accuracy and product formation in the injected. The results show comparisons between the prototyping technologies based on decision making criteria to select the technology for designing sustainable products. Copyright © 2014, AIDIC Servizi S.r.l.

关键词： Costs

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Outdoor waypoint navigation with the *** quadrotor

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International Conference on Unmanned Aircraft systems (ICUAS)

作者： Lucas Vago Santana Alexandre Santos Brandão Mário Sarcinelli-Filho Department of Industrial Automation Federal Institute of Espírito Santo ES Brazil Department of Electrical Engineering Federal University of Viçosa MG Brazil Graduate Program on Electrical Engineering Federal University of Espírito Santo ES Brazil

This paper presents a framework to deal with outdoor navigation using an *** Parrot quadrotor. The proposed system runs in a centralized computer, the ground station, responsible for the communication with the unmanned aerial vehicle (UAV) and for synthesizing the control signals during flight missions. The outdoor navigation is performed through using a layered control architecture, where a high-level control algorithm, designed from the kinematic differential equations describing the movement of the UAV, is used to generate reference signals for a low-level velocity controller. To feedback the controllers, the sensorial data provided by the *** onboard sensors and a GPS module are fused through a Kalman Filter, allowing getting a more reliable estimate of the UAV state. Finally, experimental results are presented, which demonstrate the effectiveness of the proposed framework.

关键词： Global Positioning System Vehicles Measurement Sensors Kalman filters Kinematics State estimation

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Wave Energy Converters and Design Considerations for Gulf of Mexico

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Distributed Generation and Alternative Energy Journal 2015年第4期30卷 55-76页

作者： Guiberteau, Kelly Lee, Jim Liu, Yucheng Dou, Yangqing Kozman, Theodore A. Texas A and M University United States Mechanical Engineering and Program Coordinator of Systems Engineering University of Louisiana Lafayette United States ASME SAE ASEE United States Northwestern Polytechnical University United States University of Louisiana Lafayette Louisiana Industrial Assessment Center United States

This article presents an investigational study on wave energy converters (WECs) and the design considerations for possible implementation in the Gulf of Mexico (GOM). The types of WEC available from the market are studied first. The design considerations for implementing a WEC in GOM are then evaluated. There are several different types of devices that can be used in the system design. Each device type has different attributes that may be helpful or hurtful for the area and wave activity in the GOM. From the evaluation there is a recommendation of the optimal device design conditions, and three device types are recommended for further pursuit as design candidates. Six different WEC projects that are currently being developed and most are ready for commercial testing are examined. Our study evaluates the usefulness of the WECs for the GOM, and provides design factors of both physical and economic scaling. The result of this investigation reveals that while none of the devices can be installed "as is" in the GOM because of wave power or geometry requirements, there are some that have the potential to be modified and scaled down to fit the GOM climate.

关键词： Wave power

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Developing and testing a design process for sustainable indicators

Developing and testing a design process for sustainable indi...

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IIE Annual Conference and Expo 2014

作者： De Lima, Edson Pinheiro Machado, Carla G. Kluska, Rafael A. Hundzinski, Leandro N. Rocha, Letícia M. Da Silva, Elias H.D. Ribeiro Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology Parana Curitiba Brazil

ISBN: (纸本)9780983762430

In the last few decades the competitive context development trajectory is leading companies to increase their contribution for sustainable development. Stakeholders' accountability demands are being reflected in present multidisciplinary regulatory framework that is formed by standards, guidelines and guidance reports, and allows markets and society to have evidences from sustainable behavior, which is certified or formally agreed or signatory by companies. Operations strategy performance information could be addressed to a set of evolutionary performance indicators, which could represent sustainability present performance, and also could orient companies in reaching higher performance levels according to a preset maturity trajectory. The objective of this paper is to develop a process for generating an integrated set of performance measures for managing sustainability at value chain or operations system level. An applied research was conducted based on action research approach, operationalized by Cambridge process or engineering approach, and managed in research process management cycle. Performance measures are formally and detailed defined as metadata. Process application not only allows a better understanding on how sustainability indicators could be integrated and related to a maturity model, but also created an information system that could be used for auditing, assessment and reporting sustainability performance.

关键词： Sustainable development

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Multiobjective Cuckoo Search Applied to Radial Basis Function Neural Networks Training for System Identification

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IFAC Proceedings Volumes 2014年第3期47卷 2539-2544页

作者： Helon Vicente Hultmann Ayala Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program (PPGEPS) PUCPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) UFPR Curitiba Brazil

In the present work we introduce a system identification framework where no a priori information on the system to be identified is available. Focusing in the specific case of radial basis functions neural networks models, we insert the choice of the model complexity and its inputs in the optimization procedure together with the model parameters, aiming at accuracy, model validity and regularization in a multiobjective approach. The multicriteria problem is solved by means of the multiobjective cuckoo search, which is based on an archiving technique and the crowding distance metric. Simulation results are promising when the methodology is applied to identify a robot arm given solely input and output data.

关键词： System Identification Multiobjective optimization Cuckoo Search Multiobjective Cuckoo Search Neural Networks Radial Basis Functions Robotics

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Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator 4

Improved multiobjective particle swarm optimization for desi...

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4th IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2014

作者： Pierezan, Juliano Ayala, Helon H. V. Da Cruz, Luciano F. Freire, Roberto Z. Dos S. Coelho, Leandro Federal University of Parana- UFPR Electrical Engineering Graduate Program - PPGEE Curitiba Brazil Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba Brazil

ISBN: (纸本)9781479945313

In order to improve equipment efficiency in terms of performance, energy consumption and degradation for example, the industry has increased the use of control systems as the PID (proportional-integral-derivative) to a new baseline. This structure has few parameters to adjust and it is easy to implement practically. However, there are some requirements often included on multivariable systems that cannot be solved concurrently by classical methods. To solve this problem, the current paper approaches the application of Multiobjective Differential Evolution (MODE), Multiobjective Harmony Search (MOHS) and Multiobjective Particle Swarm Optimization (MOPSO) on multivariable PID controllers tuning. Moreover, an improved version of MOPSO (I-MOPSO) is proposed and its performance is compared with the other algorithms. In order to validate it under control systems, the optimization technique is applied on a two degree of freedom robotic manipulator. Finally, a detailed analysis is made on the I-MOPSO achievements. © 2014 IEEE.

关键词： Three term control systems

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Estimate and Control Position Autonomous Underwater Vehicle Based on Determined Trajectory using Fuzzy Kalman Filter Method

Estimate and Control Position Autonomous Underwater Vehicle ...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and industrial Automation

作者： Zunif Ermayanti Erna Apriliani Hendro Nurhadi Teguh Herlambang Mathematics Department of Institut Teknologi Sepuluh Nopember Surabaya Indonesia Mechanical Engineering of Institut Teknologi Sepuluh Nopember Surabaya Indonesia Post Graduate Program in Marine Technologi of Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781467373470

Unmanned Underwater Vehicle (UUV), known as underwater drones, are any vehicle that are able to operate underwater without human occupant. AUV (Autonomous Underwater Vehicle) are one of categories of these vehicles which operate independently of direct human input. This AUV is required to have a navigation system that can manoeuvred 6 Degree of Freedom (DOF) and able to estimate the exact position based on the determined trajectory. Fuzzy Kalman Filter (FKF) method is used to estimate the position of the AUV. This process is used to maintain the accuracy of the trajectory. The performance of FKF algorithm on some several trajectory cases show that this method has relatively small Root Means Square Error (RSME), which is less than 10%.

关键词： AUV estimation Fuzzy Kalman Filter

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A modified gravitational search algorithm for continuous optimization 14

A modified gravitational search algorithm for continuous opt...

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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion

作者： De, Emerson Hochsteiner Segundo, Vasconcelos Neto, Gabriel Fiori Da Silva, Andre Mendes Mariani, Viviana Cocco Dos Santos Coelho, Leandro Mechanical Eng. Grad. Program Pontifical Catholic University of Parana Curitiba PR Brazil Curitiba PR Brazil Mechatronics Engineering Undergraduate Program Pontifical Catholic University of Parana Curitiba PR Brazil Mechanical Engineering Graduate Program Pontifical Catholic University of Parana and Electrical Engineering Federal University of Parana Curitiba PR Brazil Industrial and Systems Eng. Graduate Program Pontifical Catholic University of Parana and Electrical Engineering Federal University of Parana Curitiba PR Brazil

ISBN: (纸本)9781450328814

The gravitational search algorithm (GSA) is a stochastic population-based metaheuristic inspired by the interaction of masses via Newtonian gravity law. In this paper, we propose a modified GSA (MGSA) based on logarithm and Gaussian signals for enhancing the performance of standard GSA. To evaluate the performance of the proposed MGSA, well-known benchmark functions in the literature are optimized using the proposed MGSA, and provides comparisons with the standard GSA.

关键词： Optimization

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