Engineering Commons^™

An Efficient Milp Formulation For The Parallel-Load Retrieval In Puzzle-Based Storage Systems With Simultaneous Load Movements, Yossi Bukchin, Tal Raviv

International Material Handling Research Colloquium

No abstract provided.

Considerations When Designing An Autostore System, Russell D. Meller

International Material Handling Research Colloquium

No abstract provided.

Current Challenges And Approaches In Route Selection Of A Fleet Of Amr, Thorsten Schmidt, Karl-Benedikt Reith, Frank Schulze

International Material Handling Research Colloquium

No abstract provided.

Warehouse Robotization With Wheel.Me Genius: A Puzzle-Based Movable Racks System, Fabio Sgarbossa, Martin Amaral Halseide, Atle Timenes

International Material Handling Research Colloquium

No abstract provided.

Rcs/Rs Under Throughput Investigation, Georg Kartnig Prof., Philipp Trost, Michael Eder

International Material Handling Research Colloquium

No abstract provided.

Breakout Session B-1: "Industry 5.0", Jesus Jimenez, Uday Venkatadri

International Material Handling Research Colloquium

No abstract provided.

Breakout Session B-2: "Geopolitics", Md Sarder, Sunderesh S. Heragu

International Material Handling Research Colloquium

No abstract provided.

Breakout Session B-3: "Layouting", Sadan Kulturel-Konak, Anike Murrenhoff

International Material Handling Research Colloquium

No abstract provided.

Design Of Puzzle-Based Storage Systems With Unidimensional Cells, Hector J. Carlo, Andres Blanco

International Material Handling Research Colloquium

No abstract provided.

Perspectives On Automation For Omnichannel Services And The Need For New Robotic Solutions For Store Fulfillment Operations, Jennifer Pazour, Manmit Padhy, Georg Fischer, Joyjit Bhowmick, Sebastian Köhler, Gideon Arndt, Kai Furmans

International Material Handling Research Colloquium

No abstract provided.

How Reshoring Impacts Economy And Transportation Logistics – A Us Perspective, Md Sarder

International Material Handling Research Colloquium

No abstract provided.

Introducing The Central Backup Cellular Manufacturing System (Cbcms), Salah Elaskarai, Uday Venkatadri

International Material Handling Research Colloquium

No abstract provided.

Performance Analysis Of Unequal Area Facility Layout Problem When Superimposed By Load Transport And Empty Flow Networks, Ardavan Asef-Vaziri, Cory Taylor

International Material Handling Research Colloquium

No abstract provided.

Sorting With Robots: Where To Drop Off The Parcel?, Rene De Koster, Yuerong Chen, Bipan Zou, Yeming Yale Gong

International Material Handling Research Colloquium

No abstract provided.

Modeling Post-Disruption Equilibrium For Circular Supply Chains And New Measures For Resilience, Sangwoo Park, Ilaria Giannoccaro, Layek Abdel-Malek

International Material Handling Research Colloquium

No abstract provided.

A Novel Autonomous Vehicle-Based Storage And Retrieval System With Movable Lifts, Banu Yetkin Ekren, Tone Lerher, Boris Jerman

International Material Handling Research Colloquium

No abstract provided.

Breakout Session A-1: "Digital Continuum In Logistics", Kai Furmans, Fabio Sgarbossa

International Material Handling Research Colloquium

No abstract provided.

Breakout Session A-2: "Digital Continuum In Logistics", Leon F. Mcginnis, Ardavan Asef-Vaziri

International Material Handling Research Colloquium

No abstract provided.

Breakout Session A-3: "Digital Continuum In Logistics", Moritz Roidl, Natalie S. Cherbaka

International Material Handling Research Colloquium

No abstract provided.

Breakout Session A-4: "Digital Continuum In Logistics", René De Koster, David Sourek

International Material Handling Research Colloquium

No abstract provided.

Opening Keynote: "Towards A Digital Continuum", Michael Ten Hompel

International Material Handling Research Colloquium

No abstract provided.

Advancing Flame Retardant Prediction: A Self-Enforcing Machine Learning Approach For Small Datasets, Cheng Yan, Xiang Lin, Xiaming Feng, Hongyu Yang, Patrick Mensah, Guoqiang Li

Faculty Publications

Improving the fireproof performance of polymers is crucial for ensuring human safety and enabling future space colonization. However, the complexity of the mechanisms for flame retardant and the need for customized material design pose significant challenges. To address these issues, we propose a machine learning (ML) framework based on substructure fingerprinting and self-enforcing deep neural networks (SDNN) to predict the fireproof performance of flame-retardant epoxy resins. Our model is based on a comprehensive understanding of the physical mechanisms of materials and can predict fireproof performance and eliminate the needs for properties descriptors, making it more convenient than previous ML models. …

Intrinsically Stretchable Three Primary Light-Emitting Films Enabled By Elastomer Blend For Polymer Light-Emitting Diodes, Min Woo Jeong, Jin Hyun Ma, Jae Sung Shin, Jun Su Kim, Guorong Ma, Tae Uk Nam, Xiaodan Gu, Seong Jun Kang, Jin Young Oh

Faculty Publications

Intrinsically stretchable light-emitting materials are crucial for skin-like wearable displays; however, their color range has been limited to green-like yellow lights owing to the restricted stretchable light-emitting materials (super yellow series materials). To develop skin-like full-color displays, three intrinsically stretchable primary light-emitting materials [red, green, and blue (RGB)] are essential. In this study, we report three highly stretchable primary light-emitting films made from a polymer blend of conventional RGB light-emitting polymers and a nonpolar elastomer. The blend films consist of multidimensional nanodomains of light-emitting polymers that are interconnected in an elastomer matrix for efficient light-emitting under strain. The RGB blend …

International Material Handling Research Colloquium Program, College Industry Council On Material Handling Education

International Material Handling Research Colloquium

No abstract provided.

Unlocking Road Stability: Machine Learning-Powered Prediction Of Bitumen Distortion Under Traffic Flow Influence, Sabahudin Vrtagic, Milan Dordevic, Fatih Dogan, Muhammed Codur, Mario Hoxha, Edis Softic

Materials Science and Engineering Faculty Research & Creative Works

Road intersections are made of asphalt pavement, a popular road surface material used worldwide. The pavement may suffer deformities and deterioration, resulting in higher maintenance expenses and an elevated likelihood of road accidents, due to factors such as heavy vehicles and environmental variables like temperature and rainfall. To tackle these obstacles, researchers have devised several machine-learning algorithms and optimization techniques. These tools aim to forecast and scrutinize pavement deformation, with the goal of refining pavement design and maintenance approaches, as well as obtaining a more comprehensive comprehension of the factors that impact pavement effectiveness. This paper shows that heavy vehicles …

Conventional Platinum Metal Implants Provoke Restenosis Responses In Atherogenic But Not Healthy Arteries, Lea M. Morath, Roger J. Guillory Ii, Alexander A. Oliver, Shu Q. Liu, Martin L. Bocks, Galit Katarivas Levy, Jaroslaw Drelich, Jeremy Goldman

Michigan Tech Publications, Part 1

Platinum-containing stents are commonly used in humans with hypercholesterolemia, whereas preclinical stent evaluation has commonly been performed in healthy animal models, providing inadequate information about stent performance under hypercholesterolemic conditions. In this investigation, we used an ApoE−/− mouse model to test the impact of hypercholesterolemia on neointima formation on platinum-containing implants. We implanted 125 μm diameter platinum wires into the abdominal aortas of ApoE−/− and ApoE+/+ mice for 6 months, followed by histological and immunofluorescence examination of neointimal size and composition. It was found that ApoE−/− mice developed neointimas with four times larger area and ten times greater thickness than …

Measurement Of Thermal Conductivity Of Epoxy Resin Reinforced With Different Weight Ratios Of Glass And Carbon Powders, Edrees Edaan Ghadeer

Al-Bahir

The effect of thermal conductivity was studied on the composites prepared before and after reinforcement with different weight fractions (10, 20, 30, 40, 50, 60 wt %), using a Disc Lee's device, and the dispersion of the filler was studied by morphological analysis of the complexes using scanning electron microscopy (SEM). The (SEM) of glass composite powders, showed a smooth surface with a chance of forming very few voids, clusters and blisters on the surface of the sample, which increased with the increase of the weight fractions of the filled powder. While the composites filled with carbon powders show smooth …

Additive Manufacturing Of Stretchable Strain Sensors: Fabrication, Optimization And Application, John Nady Shihat Bastawrous

Theses and Dissertations

In this project, a novel strain sensor design is fabricated employing different additive manufacturing techniques. The spring sensor's primary material is PLA-Like resin with a nanocomposite encapsulation layer as the functional material. The main principle of Straining the sensors results in a change in resistivity as the distances among the conductive carbon particles change according to the strain applied.

Sensor fabrication consists of two parts: spring manufacturing and development of nanocomposite encapsulation The nanocomposite matrix is developed through the dispersion of Graphene and Carbon nanotubes in Thermoplastic Polyurethane through sonication and magnetic hotplate stirring. While the spring itself is manufactured …

Material Design And Performance Of Carbon Monoxide-Fueled Solid Oxide Fuel Cells: A Review, Wei Zhang, Yun Hang Hu

Michigan Tech Publications, Part 1

Solid oxide fuel cells (SOFCs) are electrochemical energy conversion devices with fuel flexibility. Since carbon monoxide (CO) is a major product of SOFC anodes operating with hydrocarbon fuels, direct utilization of CO as a fuel is expected for more efficient operation of SOFCs. A review on CO-fueled SOFC technologies is imperative to promote research activities in this important field, but it has not been published. In this review, we summarize and comment on literatures in this field, with respect to (1) materials developed for three fundamental components (anode, cathode, and electrolyte), (2) power output and stabilization strategies, and (3) critical …

Uncovering Transient Dynamics And Equilibrium States Of Particle Aggregates With RaúL BayoáN Cal, RaúL BayoáN Cal

PDXPLORES Podcast

In this episode of PDXPLORES, Raúl Bayoán Cal, Professor of Mechanical & Materials Engineering at the Maseeh College of Engineering and Computer Science, discusses his latest National Science Foundation award-winning research, Uncovering Transient Dynamics and Equilibrium States of Particle Aggregates in Fluids, investigating transient dynamics of fluid mechanics in the absence of gravity. These experiments, which utilize the Dryden Drop Tower and research facilities aboard the International Space Station, will benefit the study of granular media in aggregation models such as pollen deposition, algae growth, and plastic pollution.

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