Development Of Master’s Programs In Sustainable Engineering

During the 2006-2007 academic year, a team of faculty from the Kate Gleason College of Engineering developed a proposal for a pair of Master’s programs (a Master of Science program and a Master of Engineering proposal) in the field of Sustainable Engineering. Sustainable Engineering has been described as “engineering for human development that meets the needs of the present without compromising the ability of future generations to meet their own needs” [3]. Both programs are multidisciplinary in nature and include coursework from the disciplines of Industrial and Systems Engineering, Mechanical Engineering, Civil Engineering Technology, and Public Policy. The programs offer students the flexibility to develop ‘tracks’ in their program of study which would permit deeper immersion in domains such as renewable energy systems, systems modeling and analysis, product design, etc. Student interest in the programs has been very favorable. This paper describes the context at RIT from which the idea for these programs arose, the program development process that was followed, and the structure of the two programs

Modeling of Tooling-Workpiece Interactions on Random Surfaces

Abrasive processes, commonly employed in manufacturing, are difficult to model because they rely on brittle particles with unknown geometry and multiple points of contact. Newly developed microreplicated abrasives allow for control of abrasive grit properties such as size, shape, and distribution. This paper proposes and validates a parametric model of abrasive machining that allows for studying the interaction of this particular tooling with randomly generated surfaces. In this work, the parameters of a probability distribution function that represents the workpiece surface are approximated by profilometry data. Monte Carlo simulation is used to account for inter- and intraspecimen variability. A geometric representation is used to mathematically represent the interaction between workpiece and tool. The results show good correlation between theoretical and actual values. This approach could be used to aid in tool geometry design as well as in process parameter optimization

A Measurement Tool for Circular Economy Practices: A Case Study in Pallet Supply Chains

A circular economy (CE) is an economic system where products and services are traded in closed loops or ‘cycles’. This work develops a framework for assessing the extent to which product supply chains incorporate circular economy principles, and applies this framework to a specific material handling application, the wooden pallet supply chain. The main decisions affecting circularity and the most common decision alternatives for the wooden pallet supply chain are identified for the Pre-manufacturing, manufacturing, product delivery, customer use, and end-of-life phases. A streamlined life cycle assessment tool is developed for supporting a quick analysis about how the level of adoption of CE strategies could support environmental sustainability in pallet supply chains. A questionnaire, scoring, and assessment are presented for each phase of a pallet supply chain to reduce input and use of natural resources, reduce emission levels, reduce valuable materials losses, increase share of renewable and recyclable resources, and increase the value of durability of products. A case study is used to test the proposed method and present a contrast between two scenarios

Improving the Environmental Sustainability of Pallet Logistics through Preemptive Remanufacturing: An Integer Linear Optimization Model

The use of pallets is crucial in handling and transportation processes and wooden pallet represent the most common packaging type in the US and in Europe. This work focuses on the environmental impact of wooden pallet reverse logistics, exploring the advantages of preemptive remanufacturing policies. Preemptive schedules allow the service provider to allocate transportation emissions across multiple pallet components, increasing the environmental efficiency of the transportation process. This advantage has to be compared to the lost opportunity of repairing a usable component earlier than required. An integer linear optimization model analyzes this trade-off and the benefits of a preemptive remanufacturing schedule are described. The impact of transportation distance on the efficiency of preemptive policies is explored through a sensitivity analysis

Improving the Environmental Sustainability of Pallet Logistics through Preemptive Remanufacturing: An Integer Linear Optimization Model

The use of pallets is crucial in handling and transportation processes and wooden pallet represent the most common packaging type in the US and in Europe. This work focuses on the environmental impact of wooden pallet reverse logistics, exploring the advantages of preemptive remanufacturing policies. Preemptive schedules allow the service provider to allocate transportation emissions across multiple pallet components, increasing the environmental efficiency of the transportation process. This advantage has to be compared to the lost opportunity of repairing a usable component earlier than required. An integer linear optimization model analyzes this trade-off and the benefits of a preemptive remanufacturing schedule are described. The impact of transportation distance on the efficiency of preemptive policies is explored through a sensitivity analysis

Identification and characterization of Src SH3 ligands from phage-displayed random peptide libraries.

We have used the Src homology 3 (SH3) domain to screen two phage-displayed random peptide libraries, each containing 2 x 10(8) unique members, and have identified a series of high affinity peptide ligands. The peptides possess similar proline-rich regions, which yield a consensus Src SH3-binding motif of RPLPPLP. We have confirmed this motif by screening a phage-displayed peptide library biased for SH3 ligands and identifying the same consensus sequence. Binding studies using synthetic peptides suggest that the RPLPPLP motif is important for SH3 binding and confers specificity for the Src SH3 domain, and that residues which flank the motif may also contribute to binding. Peptides that contain the RPLPPLP motif compete Src, but not Abl or phospholipase C gamma, SH3 interactions with SH3-binding proteins from cell lysates (IC50 = 1-5 microM). Furthermore, RPLPPLP-related peptides are able to accelerate progesterone-induced maturation of Xenopus laevis oocytes. A similar acceleration has been observed in oocytes treated with activated, but not normal, Xenopus Src, suggesting the possibility that the peptides are able to antagonize the negative regulation of Src activity by Src SH3 in vivo

The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.Comment: Major update of previous version. This is the reference document for LBNE science program and current status. Chapters 1, 3, and 9 provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess. 288 pages, 116 figure

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

Discretionary data bases as public goods : a theory and some experimental findings

Ph.D.Terry Connoll

The Construction of Trend-Free Experimental Plans on Two-Level Split-Plot Designs

In most experimental designs, the standard procedure involves randomization of the factor level combination run order. There are cases, however, where it is known that a time or position trend that can seriously compromise the results of the experiment may be present. These trends include wear of tooling and equipment, learning curves, change in temperatures, etc; and may show up as linear, quadratic or even higher order trends. All previously published work [2-9] has dealt with various methods of constructing trend-resistant run order plans on full and fractional factorial designs. The objective of this work is to establish the foundations of a generalized method for constructing linear and quadratic trend-resistant plans in two-level split-plot designs that addresses all dimensions along which these trends may occur. The methodology involves development of a hybrid approach combining the Foldover Method and the Daniel and Wilcoxon (D-W) Method in each of the dimensions of interest and embedding these in a non-linear integer programming model in the search for a feasible solution. Feasibility of this approach is shown for the particular case of a split-plot design (2^sup 5^ whole-plot factors and 3^sup 1^ × 2^sup 1^ split-plot factors) performed on abrasive machining. In this case study, an experimental plan that is robust against all linear trends and most quadratic trends was achieved