Engineering Commons^™

Design And Control Of Chromatography Step In An Integrated Column Sequence, Bernt Nilsson, Niklas Andersson, Anders Holmqvist, Anton Sellberg, Peter Tiainen, Arne Staby

Integrated Continuous Biomanufacturing II

Integration of the purification steps in downstream processing is one way to minimize the number of storage tanks and reduce hold-up time. The result is an integrated column sequence that performs straight through processing of the target protein, with minimal time from expression to formulation. This paper discusses the overall integration design and its expected performance, together with a more detailed analysis of the step behavior based on column simulations. The optimal design of the individual steps in the sequence is presented, both with robustness margins and local control system, as well as with and without local recycle.

An optimization …

Evaluating Facility Design And Capacity Planning Decisions For Clinical And Commercial Supply With Hybrid Continuous Processes, Suzanne Farid

Integrated Continuous Biomanufacturing II

Assessing the value potential of alternative process and facility design strategies will be critical to the successful management of continuous processes. UCL’s Decisional Tools team have developed advanced decision-support tools that effectively integrate concepts from bioprocess economics, dynamic simulation, risk analysis, combinatorial optimization and operations research to address such challenges (e.g. 1-5). This presentation will show our latest practical applications of such models to industrially-relevant problems related to facility design and capacity sourcing for long-term commercial supply when dealing with processes with either continuous upstream or downstream processes. The results can be translated across a range of products such as …

Bioprocess Economics And Optimization Of Continuous And Pre-Packed Disposable Chromatography, Richard Allmendinger, Suzanne Farid

Integrated Continuous Biomanufacturing II

The biotech sector is facing increasing pressures to design more cost-efficient, robust and flexible manufacturing processes. Standard batch chromatography (BATCH) is an established but expensive approach to separate impurities related with both E.coli and mammalian cells expression systems. This study uses a computational framework to investigate if the application of continuous chromatography (CONTI) and disposable technologies can provide a competitive alternative to BATCH and reusable equipment. A set of general assumptions is presented on how some of the key downstream processing characteristics, such as chromatography operating conditions, resin properties and equipment requirements, vary as a function of the chromatography mode …

Engineering Optimization: Methods/Applications - Colorado State University, John Labadie

All ECSTATIC Materials

This course provides a comprehensive treatment of methods of optimization with focus on linear programming and its extensions, network flow optimization, integer programming, quadratic programming, and an introduction to nonlinear programming. The goal is to maintain a balance between theory, numerical computation, problem setup for solution by computer algorithms, and engineering applications. Course taught at Colorado State University.

Environmental Systems Analysis - Hong Kong University Of Science And Technology, Hong Kong, Ng Tze Ling

All ECSTATIC Materials

Undergraduate course in environmental systems analysis offered at Hong Kong University of Science and Technology, Hong Kong in Fall 2015.

Water Resources Systems Analysis - University Of Texas San Antonio, Marcio Giacomoni

All ECSTATIC Materials

Systems Analysis methods use algorithmic and mathematical approaches for problem-solving. These are powerful methods that can be applied to solve complex design and management problems for water resources systems and other engineering areas. This class will focus on optimization methods, such as linear programming, integer programming, nonlinear programming, genetic algorithms, and dynamic programming, and their application to water resources systems. Advanced Systems Analysis methods, including sensitivity analysis, alternatives generation, and multi-objective optimization will be introduced to address the complexities associated with public sector decision-making. Course taught at University of Texas San Antonio.

Ad-Hoc Automated Teller Machine Failure Forecast And Field Service Optimization, Michelle L. F. Cheong, Ping Shung Koo, B. Chandra Babu

Research Collection School Of Computing and Information Systems

As part of its overall effort to maintain good customer service while managing operational efficiency and reducing cost, a bank in Singapore has embarked on using data and decision analytics methodologies to perform better ad-hoc ATM failure forecasting and plan the field service engineers to repair the machines. We propose using a combined Data and Decision Analytics Framework which helps the analyst to first understand the business problem by collecting, preparing and exploring data to gain business insights, before proposing what objectives and solutions can and should be done to solve the problem. This paper reports the work in analyzing …

Design Method For Wideband Circularly Polarized Slot Antennas, Adam Narbudowicz, Matthias John, Vit Sipal, Xiulong Bao, Max Ammann

Articles

A compact ultrawideband (UWB) circularly polarized (CP) slot antenna is proposed with a methodology for automated reoptimization for packaging with proprietary devices. The slot structure employs a dual-feed with an integrated compact UWB phase shifter. The design process involves an advanced optimization algorithm and demonstrates the use of spline curves for generation of CP signals. These allow easy optimization, while preserving phase coherency across a wideband. The prototyped antennahas a CP bandwidth of 54% (from 3.2 to 6.1 GHz).

Comparison Of Two Wake Models For Use In Gradient-Based Wind Farm Layout Optimization, Jared Thomas, Eric Tingey, Andrew Ning

Faculty Publications

Wind farm layout has a significant impact on the productivity of a wind farm. To ensure that the turbines are placed in the most advantageous arrangement, optimization algorithms are often used during the layout design process. Depending on the wake model used for the optimization, optimizing the layout can be time intensive or potentially inaccurate. In this paper we present a comparison of optimization results using two simple wake models, the FLORIS model and the Jensen model. Results highlight some of the key similarities and differences of layout optimization results when different wake models are used.

The Arched Flexure Vsa: A Compact Variable Stiffness Actuator With Large Stiffness Range, Joseph M. Schimmels, Daniel Garces

Mechanical Engineering Faculty Research and Publications

The high stiffness of conventional robots is beneficial in attaining highly accurate positioning in free space. High stiffness, however, limits a robot's ability to perform constrained manipulation. Because of the high stiffness, geometric conflict between the robot and task constraints during constrained manipulation can lead to excessive forces and task failure. Variable stiffness actuators can be used to adjust the stiffness of robot joints to allow high stiffness in unconstrained directions and low stiffness in constrained directions. Two important design criteria for variable stiffness actuation are a large range of stiffness and a compact size. A new design, the Arched …

Water Resources Systems Analysis - Colorado State University, Darrell Fontane

All ECSTATIC Materials

Applications of systems analysis, simulation and optimization techniques in water resources planning and management. Course taught at Colorado State University.

A Computational Intelligence Approach To System-Of-Systems Architecting Incorporating Multi-Objective Optimization, David M. Curry, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

A computational intelligence approach to system-of-systems architecting is developed using multi-objective optimization. Such an approach yields a set of optimal solutions (the Pareto set) which has both advantages and disadvantages. The primary benefit is that a set of solutions provides a picture of the optimal solution space that a single solution cannot. The primary difficulty is making use of a potentially infinite set of solutions. Therefore, a significant part of this approach is the development of a method to model the solution set with a finite number of points allowing the architect to intelligently choose a subset of optimal solutions …

Optimal Pavement Design And Rehabilitation Planning Using A Mechanistic-Empirical Approach, Yun Bai, Osman Erman Gungor, Jaime Alberto Hernandez-Urrea, Yanfeng Ouyang, Imad L. Al-Qadi

Civil and Environmental Engineering Faculty Research and Publications

This paper presents the development of a pavement design and rehabilitation optimization decision-making framework based on Mechanistic-Empirical (ME) roughness transfer models. The AASHTOWare Pavement ME Design (the software of Pavement ME Design) is used to estimate pavement deterioration based on the combined effects of permanent deformation, fatigue, and thermal cracking. The optimization problem is first formulated into a mixed-integer nonlinear programming model to address the predominant trade-off between agency and user costs. To deal with the complexity associated with the pavement roughness transfer functions in the software and to use the roughness values as input to the optimization framework, a …

Development And Optimization Of An Innovative Hvac System With Integrated Pvt And Pcm Thermal Storage For A Net-Zero Energy Retrofitted House, Massimo Fiorentini, Paul Cooper, Zhenjun Ma

Faculty of Engineering and Information Sciences - Papers: Part A

This paper describes a novel solar-assisted HVAC system developed for the Team UOW 'Illawarra Flame' Solar Decathlon house, the winner of the Solar Decathlon China 2013 competition. This HVAC system consists of an air-based photovoltaic-thermal (PVT) collector and a phase change material (PCM) thermal storage unit integrated with a reverse cycle heat pump, in a ducted system. The system was designed for operation during both winter and summer using daytime solar radiation and night-time sky radiative cooling, respectively. The PVT collector heats or cools fresh air from ambient and thereby provides heating or cooling either directly to the indoor space, …

Optimization Of The Number Of Rays In Interpolation For Light Field Based Free Viewpoint Systems, Hooman Shidanshidi, Farzad Safaei, Wanqing Li

Faculty of Engineering and Information Sciences - Papers: Part A

Light field (LF) rendering is widely used in free viewpoint video systems (FVV). Different methods have been proposed to employ depth maps to improve the rendering quality. However, estimation of depth is often error-prone. In this paper, a new method based on the concept of effective sampling density (ESD) is proposed for evaluating the depth-based LF rendering algorithms at different levels of errors in the depth estimation. In addition, for a given rendering quality, we provide an estimation of number of rays required in the interpolation algorithm to compensate for the adverse effect caused by errors in depth maps. The …

Direct Power Control Of Dfig Based Wind Turbine Based On Wind Speed Estimation And Particle Swarm Optimization, Mehrdad Tarafdar Hagh, S Roozbehani, F Najaty, S Ghaemi, Yingjie Tan, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a direct power control (DPC) design of a grid connected doubly fed induction generator (DFIG) based wind turbine system in order to track maximum absorbable power in different wind speeds. A generalized regression neural network (GRNN) is used to estimate wind speed and thereby the maximum absorbable power is determined online as a function of wind speed. Finally the proposed DPC strategy employs a nonlinear robust sliding mode control (SMC) scheme to calculate the required rotor control voltage directly. The concept of sliding mode control is incorporated into particle swarm optimization (PSO) to determine inertial weights. The …

Constrained Optimization Of Average Arrival Time Via A Probabilistic Approach To Transport Reliability, Mohammad-Reza Namazi-Rad, Michelle E. Dunbar, Hadi Ghaderi, Payam Mokhtarian

SMART Infrastructure Facility - Papers

To achieve greater transit-time reduction and improvement in reliability of transport services, there is an increasing need to assist transport planners in understanding the value of punctuality; i.e. the potential improvements, not only to service quality and the consumer but also to the actual profitability of the service. In order for this to be achieved, it is important to understand the network-specific aspects that affect both the ability to decrease transit-time, and the associated cost-benefit of doing so. In this paper, we outline a framework for evaluating the effectiveness of proposed changes to average transit-time, so as to determine the …

Improving Processing By Adaption To Conditional Geostatistical Simulation Of Block Compositions, R. Tolosana-Delgado, Ute A. Mueller, K. G. Van Den Boogaart, C. Ward, J. Gutzmer

Research outputs 2014 to 2021

Exploitation of an ore deposit can be optimized by adapting the beneficiation processes to the properties of individual ore blocks. This can involve switching in and out certain treatment steps, or setting their controlling parameters. Optimizing this set of decisions requires the full conditional distribution of all relevant physical parameters and chemical attributes of the feed, including concentration of value elements and abundance of penalty elements. As a first step towards adaptive processing, the mapping of adaptive decisions is explored based on the composition, in value and penalty elements, of the selective mining units. Conditional distributions at block support are …