• Adopting PDCA (Plan-Do-Check-Act) cycle for energy ...

    Mar 01, 2017· The case analysis showed a 35% reduction in specific energy consumption (SEC) of one of the Paper Machine's (PM) vacuum system by the implementation of ESAs for vacuum optimization, generating an annual energy-saving of 0.3 GJ/t.

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  • VACUUM PUMPS AND SYSTEMS TRENDS ... - Pulp and Paper .

    The modern machine vacuum system is usually the largest process of the paper mill, with the exception of the paper machine itself. When observed with today's 3D computer modeling, it can easily be seen that the system, consisting of eight, 12 or more pumps, will occupy several bays in the basement and require motors with 4000 to 8000 ...

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  • Mechanical Engineering Projects Ideas for College .

    77.Automatic Pneumatic Punching Machine 78.Automatic Pneumatic Paper Cutting Machine 79.Automatic Pneumatic Printing Press 80.Automatic Pneumatic High-Speed Hack Saw Machine 81.Design of Brake Lock for hydraulic brake systems 82.Ignition control to improve the combustion efficiency of the IC engine 83.A Project on a Traffic lane marker

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  • Theoretical Holding Force of a Suction Cup

    Vacuum distributors, hose lines and connections complete the vacuum system and connect suction pads to vacuum generators. Didactic With certified courses, seminars and customer-specific training sessions on all topics within vacuum technology and efficiency, Schmalz provides expertise that is tailored to the exact requirements of your company.

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  • Roll Modernizations - Suction Rolls - Valmet

    May 21, 2010· paper web adhesion at the felt edges, optimal use of vacuum and suction capacity savings as compared to a roll-wide suction zone. With EdgeBlow you can expect results such as improved paper web control during pick-up into the press section, fewer web breaks and improved paper machine efficiency. Figure 3.

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  • VMware Operating System Optimization Tool Guide | .

    The System Information pane, below the five main tabs, has details about the machine (local or remote) that you are targeting. System Information details include: OS – Operating system on machine being viewed. User Name – Current logged-in user. Physical Memory – Installed physical memory.

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  • Troubleshooting paper machine vacuum systems: part I: low ...

    Sep 01, 2001· Editor's note: This is the first of a three-part series that covers troubleshooting paper machine vacuum systems. Parts II and III will be published in future issues of TAPPI JOURNAL. All wet-laid-process paper machines have vacuum systems, and .

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  • Doug Sweet & Associates - Vacuum System Optimization for ...

    Following a career of 25 years designing and selling Nash vacuum systems for paper machines, the decision was made to move from sales and service into process optimization. Doug Sweet and Associates was formed in 2001 and has been involved with over 350 system studies.

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  • Measuring Paper Machine Energy Performance

    paper machines. Approximately 10% of the paper machines surveyed meet the TAPPI good performance targets for water use per gross ton of production. Machine grades meeting the targets include recycled paperboard, liner, medium, LWC, and pulp. Lowest use observed was 129 gallons per ton in a .

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  • Special Issue "Designing, Modeling and Optimizing Energy ...

    In this context, this special issue compiles recent research and development efforts in design, modeling and optimization aspects of energy and environmental systems for building applications, such as HVAC (heating, ventilation and air conditioning), renewable and sustainable distributed energy generation systems, smart and intelligent building ...

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  • Studies and audits for board and paper machines | Valmet

    Studies and audits improve productivity and optimize operating costs. Performed by experts and backed by strong engineering expertise, Valmet offers a full range of in-depth studies and audits for paper .

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  • (PDF) THE OPTIMIZATION OF THE PAPER MACHINE .

    THE OPTIMIZATION OF THE PAPER MACHINE DEWATERING PROCESS BY USING THE NEW POLYURETHANE SUCTION PRESS ROLL COVER. ... vacuum system is generated) ... Access scientific knowledge from anywhere. or.

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  • Laurent Charlin's home page

    In proceeding of the International Conference on Machine Learning (ICML), 2013. Active Learning for Matching Problems Laurent Charlin, Richard Zemel, Craig Boutilier In proceedings of the International Conference on Machine Learning (ICML), 2012. [short video lecture] A Framework for Optimizing Paper .

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  • Advanced process control or process optimization of your ...

    Software with advanced machine learning algorithms, when combined with process design and operational know-how, have the potential to increase manufacturing efficiency and productivity in the process industries. ... solutions to augment existing systems and implement "Process Optimization as a Service" as a sustainable way to ensure ...

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  • Optimizing PMC operations. - Free Online Library

    Oct 01, 2004· An opportunity exists to use this method for paper machine optimization. With the Expert method, technicians make purposeful changes to input factors (tuning parameters) of the wet end process, and track the effects on the output (formation, dryness, smoothness etc.) A set of trials is defined and run on the paper machine.

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  • for autonomic computing. An architectural blueprint

    optimizing and self-protecting. This paper also describes two fundamental ways in which the control loops for these functions can be constructed in an IT infrastructure (within an autonomic manager or embedded within a managed resource). Self-management attributes of system components In a self-managing autonomic environment, system components ...

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  • (PDF) Optimization of water removal in the press section ...

    An optimization problem regarding water removal in the press section of a paper machine is considered in this work. The proposed model tries to minimize a cost function comprising the replacement ...

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  • DESIGN AND FABRICATION OF AUTOMATIC FLOOR CLEANER

    sensory circuit. This system sends ultrasonic range wave and the wave reflects after encountering any obstacle. This retraced wave is sensed by the sensory circuit which there by calculates the distance of the obstacle. The data achieved from this process is processed for the future movement of the machine.

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  • Power Consumption Optimization in Datacenters Using PSO ...

    Sep 07, 2016· This paper presents a strategy for reducing power consumption in a data centers in cloud computing. A more efficient use of resources using optimal scheduling of tasks is proposed. The scheduling strategy uses a fuzzy rule-based system (FRBS) with automatic learning for knowledge .

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  • Efficient and Robust Automated Machine Learning

    The contribution of this paper is to extend this AutoML approach in various ways that considerably improve its efficiency and robustness, based on principles that apply to a wide range of machine learning frameworks (such as those used by the machine learning service providers mentioned above).

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  • Adopting PDCA (Plan-Do-Check-Act) cycle for energy ...

    Mar 01, 2017· The case analysis showed a 35% reduction in specific energy consumption (SEC) of one of the Paper Machine's (PM) vacuum system by the implementation of ESAs for vacuum optimization, generating an annual energy-saving of 0.3 GJ/t.

    Get price
  • Paper Machine Vacuum System Optimization | Industrial ...

    Every paper machine has vacuum pumps and a vacuum system. The vacuum system usually has the same power requirement as what is needed to drive the entire paper machine. Inefficiencies within the vacuum system increase the electrical or steam requirements of water removal and therefore represent an important improvement opportunity. The situation of excess vacuum capacity sometimes exists ...

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  • INTRODUCTION MACHINE LEARNING

    that the machine has learned. Machine learning usually refers to the changes in systems that perform tasks associated with arti cial intelligence (AI). Such tasks involve recognition, diag-nosis, planning, robot control, prediction, etc. The changes" might be either enhancements to already performing systems or ab initio synthesis of new sys-tems.

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  • [Full text] Optimization of the Oertli CataRhex 3 ...

    Optimization of the Oertli CataRhex 3reg phacoemulsification machine Lance A Stutz,1 Joshua B Heczko,2 Brian A ,3 Rhett S Thomson,2,4 Ashlie A Bernhisel,2 William R Barlow,2 Brian Zaugg,2 Randall J Olson,2 Jeff H Pettey2 1University of Texas Southwestern Medical School, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; 2Department of Ophthalmology and Visual .

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  • VACUUM — Databricks Documentation

    Recursively vacuum directories associated with the Delta table and remove files that are no longer in the latest state of the transaction log for the table and are older than a retention threshold. The default threshold is 7 days. Databricks does not automatically trigger VACUUM operations on Delta tables.

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  • (PDF) Optimization of water removal in the press section ...

    An optimization problem regarding water removal in the press section of a paper machine is considered in this work. The proposed model tries to minimize a cost function comprising the replacement ...

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  • Thermal Performance Optimization and Experimental ...

    Windows are essential in buildings; however, they have poor thermal performance, so extensive research has been conducted on improving their performance. In this study, we developed vacuum-glazed windows with excellent insulation via the in-vacuum method, which shortens the manufacturing time and vacuuming degree considerably. In addition, the configuration of the pillars, low-emissivity (low ...

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  • Analogical Inference for Multi-relational Embeddings

    entities and relations in large knowledge graphs. An effective and scalable solution for this prob-lem is crucial for the true success of knowledge-based inference in a broad range of applica-tions. This paper proposes a novel framework for optimizing the latent representations with re-spect to the analogical properties of the embed-

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  • Learning to Optimize with Reinforcement Learning – The ...

    Sep 12, 2017· Machine learning has enjoyed tremendous success and is being applied to a wide variety of areas, both in AI and beyond. This success can be attributed to the data-driven philosophy that underpins machine learning, which favours automatic discovery of patterns from data over manual design of systems using expert knowledge.

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  • Materials | Free Full-Text | Optimizing the Microstructure ...

    The effect of ultrasonic temperature on density, microstructure and mechanical properties of vacuum counter-pressure casting ZL114A alloy during solidification was investigated by optical microscopy (OM), scanning electron microscope (SEM) and a tensile test. The results show that compared with the traditional vacuum counter-pressure casting aluminum alloy, the primary phase and eutectic ...

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  • Optimization of existing vacuum system- Web series - IBC ...

    Optimize your vacuum system (focus on water ring pumps) in paper or tissue to save energy. Expert is Pierre Strauch and Fausto Olivares from Cutes Europ from Germany. Suscribe to the web series to access to all the videos regarding process optimisation, maintenance, industry 4.0, .

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  • XGBoost: A Scalable Tree Boosting System

    In this paper, we describe XGBoost, a scalable machine learning system for tree boosting. The system is available as an open source package2. The impact of the system has been widely recognized in a number of machine learning and data mining challenges. Take the challenges hosted by the machine learning competition site Kaggle for example. A-

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