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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

A Study Of The Effect Of Machine Parameters On Defects Produced In Eos Additive Manufacturing Builds, Tina White Malone May 2023

A Study Of The Effect Of Machine Parameters On Defects Produced In Eos Additive Manufacturing Builds, Tina White Malone

Doctoral Dissertations

5Additive Manufacturing (AM) is defined in the American Society for Testing and Materials (ASTM) standard F2792 as “a process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies. It provides an advanced method for building complex geometries and parts for high performance with a significant cost savings. 55It’s advantages include the reduced need for tools and molds commonly used in manufacturing, a large reduction in wasted material, much shorter manufacturing cycles for the building of hardware, and its uniquely inherent ability to produce much more complex shapes. …


Predictive Modeling On The Piezoelectric Properties Of 3d Printed Functional Nanocomposites Using The Data Analytics Approach, Md Didarul Islam Jan 2018

Predictive Modeling On The Piezoelectric Properties Of 3d Printed Functional Nanocomposites Using The Data Analytics Approach, Md Didarul Islam

Open Access Theses & Dissertations

This paper presents research done on prediction modeling using a data analytics approach to determine various factors affecting the piezoelectric properties of the 3D printed pressure sensors. Previously, the material extrusion 3D printing technique was used to fabricate pressure sensors composed of multiwall carbon nanotubes (CNT), barium titanate (BT), and polyvinylidene fluoride (PVDF) using simple fabrication and low-cost methods. This sensor produced a voltage output of 725 mV (0.13 pC/N) which is enough for pressure sensing applications. However, a holistic study to determine impacts of all factors was not carried out in the previous model. In this study, the design …


Design Of Experiments-Based Scara Robot Parameter Evaluation For Embedding Electronics Into 3d Print, Sreekara Charith Boppana Jan 2016

Design Of Experiments-Based Scara Robot Parameter Evaluation For Embedding Electronics Into 3d Print, Sreekara Charith Boppana

Open Access Theses & Dissertations

Additive manufacturing processes combined with enhanced technologies for electronics production enables a highly flexible manufacturing of personalized 3D electronic devices. Due to the enormous progress within the last years, these technologies made their way from prototyping towards manufacturing. The growing request for products manufactured in batch size, making use of a robot to incorporate the electronic components necessary to make functional 3-Dimensional-Structural Electronics will extend the mass production possibilities. There is significant interest in automation of a process is which parameters are influential in the occurrence of assembly defects and which adjustments should be made to those variables to reduce …


Antiviral Resistance And Dynamic Treatment And Chemoprophylaxis Of Pandemic Influenza, Sandro Paz Mar 2014

Antiviral Resistance And Dynamic Treatment And Chemoprophylaxis Of Pandemic Influenza, Sandro Paz

USF Tampa Graduate Theses and Dissertations

Public health data show the tremendous economic and societal impact of pandemic influenza in the past. Currently, the welfare of society is threatened by the lack of planning to ensure an adequate response to a pandemic. This preparation is difficult because the characteristics of the virus that would cause the pandemic are unknown, but primarily because the response requires tools to support decision-making based on scientific methods. The response to the next pandemic influenza will likely include extensive use of antiviral drugs, which will create an unprecedented selective pressure for the emergence of antiviral resistant strains. Nevertheless, the literature has …


Optimization Of Bioprinting Process Using Design Of Experiments (Doe) And Taguchi Method, Maria Veronica Gonzalez Jan 2013

Optimization Of Bioprinting Process Using Design Of Experiments (Doe) And Taguchi Method, Maria Veronica Gonzalez

Open Access Theses & Dissertations

At this time there is a need for new fabrication techniques for engineering complex biological structures related to regenerative medicine, in vitro tissue analysis, and pharmaceutical testing with the purpose of placing specific cells in specific target locations. Right now, there is no enough conventional cell seeding methods that can achieve it. In order to achieve it, bio-fabrication, which is a delivery mechanism capable of placing biomaterials, cells, and bioactive macromolecules in specific target locations, comes to play an important role in this area. Among different approaches, bioprinting is one of the most useful processes that use drop-on-demand delivery mechanisms …


An Experimental Approach For Developing Rfid Ready Receiving And Shipping, Amoldeep Singh Jaggi Aug 2011

An Experimental Approach For Developing Rfid Ready Receiving And Shipping, Amoldeep Singh Jaggi

Masters Theses

Abstract:

Radio Frequency Identification (RFID) and related technologies have been touted to allow exponential improvements in supply chain logistics and management. However, many industrial users have indicated that these technologies have not provided the anticipated benefits. The two complimentary strategies required to address the RFID reliability are: to improve the reliability of RFID technology and to design the supply chain infrastructure that enables RFID. The focus of this paper is on designing the supply chain infrastructure to enable RFID by developing guidelines for “RFID Ready Facilities”. These guidelines were developed based on a set of experiments conducted in the RFID …


Modeling And Optimization Of Stochastic Process Parameters In Complex Engineering Systems, Paul Goethals May 2011

Modeling And Optimization Of Stochastic Process Parameters In Complex Engineering Systems, Paul Goethals

All Dissertations

For quality engineering researchers and practitioners, a wide number of statistical tools and techniques are available for use in the manufacturing industry. The objective or goal in applying these tools has always been to improve or optimize a product or process in terms of efficiency, production cost, or product quality. While tremendous progress has been made in the design of quality optimization models, there remains a significant gap between existing research and the needs of the industrial community. Contemporary manufacturing processes are inherently more complex - they may involve multiple stages of production or require the assessment of multiple quality …