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Articles 3901 - 3930 of 8619
Full-Text Articles in Engineering
Prefabrication Of Custom Cat Condos For Son Care Foundation, Jacob Marano
Prefabrication Of Custom Cat Condos For Son Care Foundation, Jacob Marano
Construction Management
This senior project involved the design and construction of four custom cat condos for the Son Care Foundation. The goal of the project was to enhance the quality of life for cats by creating safe, functional, and enriching enclosures. The process involved developing a conceptual design, coordinating with daycare center staff, refining the final design and materials list, procuring supplies, and executing the build. The final deliverables included four completed condos with individual and shared spaces for 8 to 12 cats in total. Throughout the project, valuable lessons were learned in planning, budgeting, construction techniques, and working with a real …
Skip The Grid: Empowering The Navajo Nation Through Solar Energy, Gerardo L. Luna
Skip The Grid: Empowering The Navajo Nation Through Solar Energy, Gerardo L. Luna
Construction Management
Skip the Grid is an interdisciplinary service project through California Polytechnic State University, San Luis Obispo (Cal Poly), aimed at providing sustainable energy solutions to underserved communities. In Spring 2025, I participated as a rooftop safety lead and solar installer in Chinle, Arizona, where our team partnered with SOLV Energy, Goal Zero, and Heart of America to bring solar power to 40 off-grid homes across the Navajo Nation. As a member of Red Team #3, I was directly responsible for ensuring safe ladder setup, supervising rooftop work, mounting solar panels, and managing exterior cable routing for 8 successful installations. Beyond …
Design And Playhouse Plan For Girls Build Summer Academy 2025, Aracely Berber
Design And Playhouse Plan For Girls Build Summer Academy 2025, Aracely Berber
Construction Management
This project involves the development and execution of a week-long construction camp at Cal Poly aimed at introducing high school girls to the construction industry through the hands-on building of playhouses. This camp is coordinated by a professor in Cal Poly’s Construction Management Department and invites other industry professionals. The initiative not only promotes youth empowerment and gender diversity in the industry but also incorporates a strong educational and technical component. As part of the planning process, a detailed 3D model of the playhouse was created using Autodesk Revit to visualize the structure. Additionally, a materials list was created and …
The Third Annual Hasslein Caed Collaborative, Marianne Nicole Bishai
The Third Annual Hasslein Caed Collaborative, Marianne Nicole Bishai
Construction Management
This paper details the planning, development, and impact of the third annual Hasslein CAED Collaborative Student Competition. The intention of the Hasslein Cup is to engage the students of the five College of Architecture and Environmental Design (CAED) majors in an industry-like scenario. The five majors, Architecture, Architectural Engineering, City and Regional Planning, Construction Management, and Landscape Architecture, make up the workforce of the construction industry, yet there has been very little opportunity for the students to work together and replicate a professional scenario. The competition began from research conducted by Greta Stout, class of 2022, which explored the benefits …
A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu
A Cfd Analysis Of Equipment Fires In An Underground Development Heading For Improved Auxiliary Ventilation Design, Oluwafemi B. Salami, Jurgen F. Brune, Guang Xu
Mining Engineering Faculty Research & Creative Works
Abstract: This study investigates the intricacies of equipment fires in a blind development heading of an underground mine using computational fluid dynamics (CFD). A series of fire dynamic simulations (FDS) were conducted for various ventilation velocities in the main airway, and with different distance between the auxiliary ventilation duct outlet to the blind working face. The impacts of the ventilation velocity in the main airway, and separation distance between the duct outlet to the blind face on temperature distribution and smoke spread mechanism were investigated. The findings indicate that the distance of the auxiliary ventilation duct outlet to the working …
Son Care Foundation - Pergola Preconstruction, Samuel J. Peters
Son Care Foundation - Pergola Preconstruction, Samuel J. Peters
Construction Management
This paper discusses the design and preconstruction aspects of a pergola constructed at Thousand Hills Pet Resort, supporting a non-profit organization called the Son Care Foundation. Founded in 1994 by Jack Gould, the foundation is committed to fostering hope through various programs including mentorship for students, service dog training for PTSD victims, basic pet training, vehicle repair and turnaround, and dog daycare and lodging. This project serves Son Care Foundation’s dog daycare and lodging program, called Thousand Hills Pet Resort. The program was established in 2005, and all profits are used to fund the other programs operated by the Son …
Building Services Engineering May/June 2025
Building Services Engineering May/June 2025
Building Services Engineering
No abstract provided.
Linear Systems Over Pura Vida Neutrosophic Algebra, Rayyanu Abdullahi Muhammad, Abdulhadi Aminu
Linear Systems Over Pura Vida Neutrosophic Algebra, Rayyanu Abdullahi Muhammad, Abdulhadi Aminu
Neutrosophic Systems with Applications
Neutrosophic numbers offers a strong foundation for representing uncertainty, indeterminacy, and imprecision within mathematical systems. Pura Vida Neutrosophic Algebra (PVNA) expands upon max-plus algebra (also known as tropical algebra or path algebra) using neutrosophic numbers. In this study, we propose a novel extension of the Pura Vida Neutrosophic Algebra (PVNA) by formulating and analyzing linear systems within this algebraic context–an area that, to the best of our knowledge, has not been previously examined. Specifically, we introduce the concept of Neutrosophic Max-Plus Linear Systems, develop an algebraic methodology for their representation, and establish the necessary and sufficient conditions for the existence …
Evaluating Disaster Relief In Supply Chains Using A Neutrosophic Mcdm Approach, Nada A. Nabeeh
Evaluating Disaster Relief In Supply Chains Using A Neutrosophic Mcdm Approach, Nada A. Nabeeh
Neutrosophic Systems with Applications
Disaster-prone regions and affected areas encounter persistent challenges in maintaining supply chain continuity due to environmental uncertainties and infrastructure disruptions. Effective supply chain disaster management (SCDM) is essential for relief disaster disruptions, specifically in upstream processes and functions within the humanitarian supply chain. The integration of advanced technologies like the metaverse and Multiple-Criteria Decision-Making (MCDM) methods supports strategic planning and enhances resilience. This study presents a multi-criteria decision-making (MCDM) proposed approach for disaster relief evaluation in supply chain management. The proposed model integrates Interval-Valued Neutrosophic Numbers (IVNNs) to manage uncertainty and ambiguity inherent in disaster various criteria which are often …
Comparison Of Gravity Waves Observed By Atmospheric Waves Experiment (Awe) And Simulated By High-Resolution Waccm-X, Jiarong Zhang, Han-Li Liu, Yucheng Zhao, Dominique Pautet, Ludger Scherliess, Michael Taylor
Comparison Of Gravity Waves Observed By Atmospheric Waves Experiment (Awe) And Simulated By High-Resolution Waccm-X, Jiarong Zhang, Han-Li Liu, Yucheng Zhao, Dominique Pautet, Ludger Scherliess, Michael Taylor
Space Dynamics Laboratory Publications
Outline
Data: AWE and High-Resolution Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (HR-WACCMX) simulation
- Quantify gravity wave (GW) activity
- Compare GW activity observed by AWE and simulated by high-resolution WACCMX
- GW activity over Western Europe
Experimental And Computational Study Of Slow Crack Growth Of High Density Polyethylene, Abdulla Fawzi Almomani
Experimental And Computational Study Of Slow Crack Growth Of High Density Polyethylene, Abdulla Fawzi Almomani
Dissertations
This dissertation investigates the slow crack growth (SCG) behavior of High-Density Polyethylene (HDPE) under various mechanical and environmental conditions. The study combines experimental analysis and computational modeling to enhance the understanding of SCG mechanisms in HDPE, particularly in pressurized pipes and under the exposure to hydrocarbons. A novel Crack Layer (CL) theory-based SCG model is developed and validated through experimental data, offering a predictive framework for HDPE failure assessment. The main objective of this dissertation is to quantify and model the viscoelastic-viscoplastic behavior of HDPE under monotonic and cyclic loading conditions while addressing SCG kinetics in structural applications. The study …
Design And Development Of Hip Implants For Longevity Through Integrating Advanced Groove Structures And Additive Manufacturing, Asarudheen Abdudeen
Design And Development Of Hip Implants For Longevity Through Integrating Advanced Groove Structures And Additive Manufacturing, Asarudheen Abdudeen
Dissertations
This doctoral research concerns the design and optimization of hip implants (HIs) to enhance performance, durability, and improve patient outcomes by addressing the key issues of wear, deformation, and stress distribution. Innovative surface groove designs have been introduced to both a solid and a hollow femoral head with the aim of reducing friction and wear. The addition of grooves, with both a hemispherical and rectangular cross-section, onto the femoral head reduced friction, as debris produced by the inner liner was trapped within the grooves, significantly reducing adhesive wear. A numerical simulation study compared the effects of surface modifications both grooves …
Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori
Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori
Theses
Traditional experimental approaches in industrial processes, such as Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy, thermogravimetric analysis (TGA), and well-drilling operations, are often constrained by time, cost, and operational limitations. This research explores the application of data-driven Machine Learning (ML)-based predictive modeling to improve efficiency and reduce dependency on resource-intensive experimentation. The study develops ML models for three distinct processes: FTIR intensity prediction of bitumen thermal cracking products, thermal degradation of Medium-Density Fibreboard (MDF) using TGA data, and Rate of Penetration (ROP) prediction in petrochemical industry. Six algorithms: Linear Regression (LinReg), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Gradient …
Utilizing Date Fruit Pomace As A Corrosion Green Inhibitor For Non Ferrous Alloys, Sardor Rustam Odilov
Utilizing Date Fruit Pomace As A Corrosion Green Inhibitor For Non Ferrous Alloys, Sardor Rustam Odilov
Theses
This thesis explores a novel green corrosion inhibitor derived from date fruit pomace extract (DFPE) for the protection of aluminum alloy 3003 in highly corrosive environments, specifically hydrochloric acid (HCl) and natural seawater. The central aim is to promote the sustainable reuse of agro-waste as an effective and eco-friendly alternative to conventional toxic inhibitors, aligning with environmental and industrial safety goals.
A comprehensive methodology was employed, including Soxhlet extraction (using both non-polar n-hexane and polar methanol-water solvents), rotary evaporation, and FTIR analysis to identify the active functional groups responsible for inhibition. Corrosion behavior was systematically evaluated using both mechanical (weight …
Meta-Learning Hyperparameters For Foundation Model Adaptation In Remote-Sensing Imagery, Zichen Tian, Yaoyao Liu, Qianru Sun
Meta-Learning Hyperparameters For Foundation Model Adaptation In Remote-Sensing Imagery, Zichen Tian, Yaoyao Liu, Qianru Sun
Research Collection School Of Computing and Information Systems
Training large foundation models of remote-sensing (RS) images is almost impossible due to the limited and long-tailed data problems. Fine-tuning natural image pre-trained models on RS images is a straightforward solution. To reduce computational costs and improve performance on tail classes, existing methods apply parameter-efficient fine-tuning (PEFT) techniques, such as LoRA and AdaptFormer. However, we observe that fixed hyperparameters -- such as intra-layer positions, layer depth, and scaling factors, can considerably hinder PEFT performance, as fine-tuning on RS images proves highly sensitive to these settings. To address this, we propose MetaPEFT, a method incorporating adaptive scalers that dynamically adjust module …
On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu
On-Demand Heterogeneous Drone Delivery Problem, Xupeng Wen, Zhiguang Cao, Shu Xu, Dapeng Ren, Guohua Wu, Yaoxin Wu
Research Collection School Of Computing and Information Systems
In the on-demand problem domain, actual demand frequently deviates from the expected demand. This paper intricately delves into the exploration of on-demand heterogeneous multi-drone routing problem (ODHDRP), in which a transport drone carries multiple terminal drones to subregions in the first echelon, and the terminal drones deliver parcels during a flight trip to customers with demands in subregions to maintain economies of scale in the second echelon. We formulate the customer demands using a normal distribution, and exploit a reliability model of customer demands with chance constraints. To solve the ODHDRP efficiently, we propose a hybrid iterative optimisation heuristic (HIOH) …
Effects Of Vertical Reinforcement On The Shear Performance Of Uhpc Deep Beams With Synthetic And Steel Fibres, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan
Effects Of Vertical Reinforcement On The Shear Performance Of Uhpc Deep Beams With Synthetic And Steel Fibres, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan
Research outputs 2022 to 2026
This study examines the shear behaviour of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with three fibre types: 2 % hooked-end (HE) steel fibres, 0.76 % 5D steel fibres, and 0.11 % Forta-Ferro (FF) synthetic fibres. It evaluates the effects of fibre type, fibre content, vertical web reinforcement (ρsv), and shear span-to-depth ratio (λ) on shear capacity. Load-deflection curves, crack patterns, and ρsv strain were analysed, and the optimal ρsv was determined using the particle swarm optimization (PSO) algorithm to maximise shear capacity while minimising costs. Findings reveal that, compared to specimens without ρsv, those with ρsv = 0.38 % exhibit …
A Predictive Model For The Shear Capacity Of Ultra-High-Performance Concrete Deep Beams Reinforced With Fibers Using A Hybrid Ann-Anfis Algorithm, Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla
A Predictive Model For The Shear Capacity Of Ultra-High-Performance Concrete Deep Beams Reinforced With Fibers Using A Hybrid Ann-Anfis Algorithm, Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla
Research outputs 2022 to 2026
Ultra-high-performance concrete (UHPC) has attracted considerable attention from both the construction industry and researchers due to its outstanding durability and exceptional mechanical properties, particularly its high compressive strength. Several factors influence the shear capacity of UHPC deep beams, including compressive strength, the shear span-to-depth ratio (λ), fiber content (FC), vertical web reinforcement (ρsv), horizontal web reinforcement (ρsh), and longitudinal web reinforcement (ρs). Considering these factors, this research proposes a novel hybrid algorithm that combines an adaptive neuro-fuzzy inference system (ANFIS) with an artificial neural network (ANN) to predict the shear capacity of UHPC deep beams. To achieve this, ANN and …
Robust Adaptive Fractional-Order Pid Controller Design For High-Power Dc-Dc Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm For Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz
Robust Adaptive Fractional-Order Pid Controller Design For High-Power Dc-Dc Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm For Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz
Research outputs 2022 to 2026
The Dual Active Bridge converter (DABC), known for its bidirectional power transfer capability and high efficiency, plays a crucial role in various applications, particularly in electric vehicles (EVs), where it facilitates energy storage, battery charging, and grid integration. The Dual Active Bridge Converter (DABC), when paired with a high-performance CLLC filter, is well-regarded for its ability to transfer power bidirectionally with high efficiency, making it valuable across a range of energy applications. While these features make the DABC highly efficient, they also complicate controller design due to nonlinear behavior, fast switching, and sensitivity to component variations. We have used a …
Multifunctional Prospects Of Physical Vapor-Deposited Silver-Based Metal-Dielectric Nanocomposite Thin Films, Mohammad Nur-E-Alam, Boon Kar Yap, Mohammad Khairul Basher, Mohammad Aminul Islam, M. Khalid Hossain, Manzoore Elahi M. Soudagar, Narottam Das, Mikhail Vasiliev, Tiong Sieh Kiong
Multifunctional Prospects Of Physical Vapor-Deposited Silver-Based Metal-Dielectric Nanocomposite Thin Films, Mohammad Nur-E-Alam, Boon Kar Yap, Mohammad Khairul Basher, Mohammad Aminul Islam, M. Khalid Hossain, Manzoore Elahi M. Soudagar, Narottam Das, Mikhail Vasiliev, Tiong Sieh Kiong
Research outputs 2022 to 2026
Silver-based metallic thin-film nanostructured materials are extensively utilized in advanced technological applications, including sensors, energy-efficient coatings, antibacterial coatings, and optical filters. Physical vapor deposition has emerged as a significant technique for synthesizing silver (Ag)-based nanocomposites, enabling the modification of structural and optical properties of thin metallic films. This advancement facilitates material development and applications in electronics, catalysis, magnetics, optics, environmental and health sectors, and specialized optical coatings. Research has demonstrated the successful integration of various nanomaterials with Ag matrices, resulting in multifunctional thin-film systems. Ag-based nanocomposite thin films exhibit exceptional electrical conductivity, rendering them suitable for electronic and optoelectronic devices. …
Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir
Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir
Theses
Naturally Fractured Reservoirs (NFRs) are characterized by dual-porosity and dual-permeability systems, posing significant challenges in managing water production due to highly conductive fracture networks that facilitate rapid water migration from bottom aquifers, often bypassing oil stored in the matrix, thus resulting in early water breakthrough and water channeling phenomena. The main objective of this thesis is to develop and validate deep learning and machine learning models to predict water production, water breakthrough time (tbt), and ultimate water cut (WCult) in NFRs, thereby enabling more effective reservoir management strategies. This work also aims to evaluate the sensitivity of water behavior to …
Experimental Evaluation Of Novel Nano Polymer Hybrid Enhanced Oil Recovery In Carbonate Reservoir, Altamish Ahmed Pakeer
Experimental Evaluation Of Novel Nano Polymer Hybrid Enhanced Oil Recovery In Carbonate Reservoir, Altamish Ahmed Pakeer
Theses
Innovative enhanced oil recovery (EOR) strategies are needed to unlock additional reserves in heterogeneous, oil-wet carbonate reservoirs. This study evaluates hybrid nano-polymer flooding by integrating silica nanoparticles (SiO₂) and single-walled carbon nanotubes (CNT) with novel HPAM polymers (Sav10 and Sav10 VHM) to optimize wettability alteration, rheological parameters, and recovery mechanisms.
A comprehensive experimental approach was employed, where rheological tests assessed viscosity enhancement under varying shear conditions, and wettability alteration was quantified via contact angle measurements using HPAM-SiO₂, HPAM-CNT, Sav10 VHM-SiO₂, and Sav10 VHM-CNT systems. Core floods were performed in three consecutive phases; waterflooding (baseline), standalone nanoparticle flooding, and hybrid nano-polymer …
Emergency Bleeding Education Fixture, Nate Colley, Kennedy K. Austin
Emergency Bleeding Education Fixture, Nate Colley, Kennedy K. Austin
Biomedical Engineering: Graduate Reports and Projects
Despite the deadly nature and widespread occurrence of emergency bleeding events, there are currently no training devices or demonstrations which educate users on the urgency of these events and potential methods to address them. Additionally, current models often fail to replicate physiological conditions correctly. A fixture was created to demonstrate the urgency of hemorrhaging events and educate users on potential methods for treating hemorrhaging, namely tourniquets and pressure wraps. This fixture utilized gravity to replicate systolic blood pressure, a silicone model to replicate various adult leg sizes and correct tissue properties, and a tubing system with varying compliance to replicate …
Underground Lrt Station, Revital Mesika
Underground Lrt Station, Revital Mesika
Fire Protection Engineering: Culminating Experience Project Reports
This report presents a comprehensive fire safety and evacuation systems analysis for the underground light rail terminal station project. The station features two main levels— concourse and platform—and is strategically located adjacent to a sports stadium.
Station Overview: The underground light rail terminal station is a two-level facility strategically positioned adjacent to a major sports stadium. The station operates as a critical transportation hub with distinct functional zones designed for efficient passenger flow and emergency evacuation:
Concourse Level (3.5 meters below ground): Functions as the primary passenger processing and circulation hub. This level serves as the main entry control point …
Genesis Station Fire Protection And Life Safety Analysis, Mark Anthony Bautista
Genesis Station Fire Protection And Life Safety Analysis, Mark Anthony Bautista
Fire Protection Engineering: Culminating Experience Project Reports
This fire protection and life safety analysis evaluates GENESIS Station, a nine-story Type I-B mixed-tenant building located in Daly City, California. The facility includes business, research laboratory, and assembly occupancies. A combination of prescriptive code compliance and performance-based analysis was applied to assess the building’s overall fire safety strategy.
The building utilizes a layered fire protection strategy that combines passive fire resistive construction with active systems. Fire rated construction separate tenant suites, limiting the spread of fire and smoke, defining hazardous materials control areas, and ensuring compliant separation of egress paths.
Active fire protection systems include a fully automatic sprinkler …
Srs Training Facility, Brandon Romero
Srs Training Facility, Brandon Romero
Fire Protection Engineering: Culminating Experience Project Reports
This report presents a comprehensive fire protection and life safety analysis of the Savannah River Site (SRS) Training Center. A detailed prescriptive code analysis confirmed the building's compliance with applicable standards regarding construction features, occupancy classification, and fire-rated assemblies. Fire resistance provisions are met, with key areas such as exits, stairwells, and the records storage room. The building’s layout, height, number of stories, and floor area also comply with the allowable limits established by the IBC. Fire protection systems include a proprietary fire alarm system with voice notification, extensive smoke and heat detection coverage, and a wet-pipe sprinkler system designed …
Cryogenic Fuel Delivery System, Carter Josef, Reilly Humphreys, Joseph O'Connor, Nick Spreen
Cryogenic Fuel Delivery System, Carter Josef, Reilly Humphreys, Joseph O'Connor, Nick Spreen
Mechanical Engineering
This project presents the design and validation of a cryogenic fuel delivery system aimed at enabling sustainable aviation through hydrogen fuel vaporization. Developed by a team of senior mechanical engineering students at Cal Poly and sponsored by Boeing, the system utilizes atmospheric air to vaporize liquid nitrogen, used as a stand-in for hydrogen, via forced convection heat exchangers, eliminating the need for engine-supplied heat and reducing parasitic loads. A feedback loop and turbine component are integrated to regulate pressure and recover energy, respectively. A benchtop prototype was built and tested to evaluate system performance, with results closely aligning with analytical …
Conversational Social Robot, Julianna M. Christopoulos, Mackenzie Goldman, Cece E. Hujanen, Jared Hunter
Conversational Social Robot, Julianna M. Christopoulos, Mackenzie Goldman, Cece E. Hujanen, Jared Hunter
Mechanical Engineering
Background: Social robots are used in various settings to reduce burden on human workers and expand opportunities for people in need of assistance.
Challenge: Design a humanoid robot head and torso capable of holding conversations and interacting with a user using a LLM and motion. Conversations are limited to discussing Cal Poly resources and opportunities with visitors to the Bently Research Center on campus.
Scitechatorium, Olivia Lafferty, Yvonne Brien Miller, Colton Swinth, Savannah Pinheiro, Gage Heinze
Scitechatorium, Olivia Lafferty, Yvonne Brien Miller, Colton Swinth, Savannah Pinheiro, Gage Heinze
Mechanical Engineering
Bellevue Santa-Fe Charter School (Bellevue) is a K6th grade public charter elementary school in Avila Beach, California. The primary focus at Bellevue is fostering unique learning experiences, empowering students through project-based learning, and engaging students in creative endeavors. Following these themes, the school has allocated space and funding for an on-campus science and technology museum known as the SciTechatorium. The museum is currently open during students’ lunch period, providing interactive displays on concepts in human biology, nature and wildlife, physics, and electronics. Bellevue’s K-6th grade science teacher, Christian Strauli, and Bellevue parent volunteers are primarily responsible for the museum’s upkeep …
Evoque Delivery System Fixture Optimization, Jack Ellis, Florence Duff, Noah Dunsmore, Timothy Hunter, Rafael Castillo
Evoque Delivery System Fixture Optimization, Jack Ellis, Florence Duff, Noah Dunsmore, Timothy Hunter, Rafael Castillo
Mechanical Engineering
No abstract provided.