Â鶹´«Ã½

Presentations will take place at Floyd Hall in room D-204.

Automated Control System for Reflection High-Energy Electron Diffraction (RHEED) Capture Analysis

9 to 9:25 a.m.

Team Members:
Brianna Murphy
Joseph Williams

Sponsor:
Dr. Robert Makin, Â鶹´«Ã½

Faculty Advisor:
Dr. Damon Miller

Molecular beam epitaxy is a process used for creating thin films of single-crystal materials used for manufacturing semiconductors and nanotechnology structures. During the molecular beam epitaxy process, reflection high-energy electron diffraction capture analysis is utilized to acquire information about the surface of the substrate, including roughness, structural properties, and growth rate. To improve the precision and accuracy of reflection high-energy electron diffraction data, an automation system was created and tested to perform this process, which also increases overall efficiency and safety.

EEG Controlled Robotic Arm

9:30 to 9:55 a.m.

Team Members:
Camryn Ruiz
Ladd Carpenter
Michael McCaulley

Sponsor:
WMU Center for Advanced Smart Sensors and Structures

Faculty Advisors:
Dr. Simin Masihi
Dr. Massood Atashbar

Integrating prosthetics into the lives of amputees is crucial for restoring functionality. Current prosthetics offer limited motion and lack intuitive control, often requiring strict maintenance. We recognize the potential of neuro-prosthetics to address these issues. A proposed robotic arm, controlled by neural signals captured via an electroencephalography cap, aims to enhance prosthetic functionality. This work involves data collection, signal processing, data analysis, machine learning, circuit design, and robotics to demonstrate the feasibility of mind-controlled prosthetics. This innovation could significantly improve the quality of life of amputees, by providing more natural limb movements and intuitive control.
 

Machine Learning Powered Stretchable Smart Textile Gloves

10 to 10:25 a.m.

Team Members:
Anika Tabassum
Farzana Mahbub
Georgia Hill

Sponsor:
WMU Center for Advanced Smart Sensors and Structures

Faculty Advisors:
Dr. Massood Atashbar
Tony Hanson

Effective communication with individuals with hearing loss often requires sign language, which can be a significant barrier. A machine learning powered glove system can overcome this barrier by capturing complex hand movements. This system translates sign language gestures into text and speech in real-time, providing a bridge between sign language users and those unfamiliar with it, thus facilitating smoother interactions in various social, educational, and professional environments. These gloves are designed using advanced machine learning algorithms to estimate hand-joint angles and recognize gestures accurately. The system integrates gesture control into digital environments through a computer program, offering feedback via visual and auditory cues. This technology aims to provide a precise, real-time solution for gesture recognition, enhancing user interaction and engagement.

Electric Motor Thrust Stand

10:30 to 10:55 a.m.

Team Members:
Evan Schober
Joshua Kraeuter

Sponsor:
Dr. Kapseong Ro, Â鶹´«Ã½

Faculty Advisor:
Dr. Johnson Asumadu

Understanding motor and propeller performance is an important part of the aircraft design process. A testing platform containing several sensors was developed for small scale electric propulsion systems. The data from the sensors are captured and processed using an integrated computer board known as Raspberry Pi. The device for small scale electric propulsion systems was developed using several commercial sensors. The data from these sensors allow users to measure key performance parameters such as input voltage, current draw, motor RPM, and thrust. This device will be used in aerospace classes and competition teams to evaluate aerial propulsion systems.
 

Automation Cart

11 to 11:25 a.m.

Team Members:
Jimmy Keusch
Hunter Ungaro
Conlan Wilder

Sponsor:
Sam Mensch, B.S.E.’11, Mensch Manufacturing

Faculty Advisor:
Dr. Damon Miller

Dairy farm workers face health risks from contact with manure and other byproducts. An automated cleaning vehicle was developed to navigate the barn autonomously and clean manure, allowing workers to focus on other tasks safely. The vehicle utilized Danfoss XM100 and MC018-030 controllers for automation and propulsion, programmed using PLUS+1® Guide software. A proof-of-concept vehicle was designed, built and tested in a dairy barn environment. The automated cleaning system improves worker health and safety while increasing overall farm efficiency.

Claims-Investigation Committee (CIC) Multi-Input Testing Device

11:30 to 11:55 a.m.

Team Members:
Daniel Baker
Dylan Matthew-Garza
Rohullah Sah

Sponsor:
Patrick McNally, ZF Group

Faculty Advisor:
Dr. Janos Grantner

The automotive industry requires rigorous testing of safety components to ensure vehicle reliability and passenger safety. An integrated test system is being developed to streamline the evaluation of automotive and safety components including brake signal transmitters, pressure sensors, wear sensors, electronic stability control modules, and string potentiometers. The system employs a custom-designed test device built around an ARM Cortex-M4 microcontroller and ARM Cortex-A7 running a custom embedded Linux image. It interfaces with peripherals through PWM, analog, and CAN communication protocols, while communicating with a web-based front-end application using Web Assembly, that communicates with a back-end server, both written in Rust, with the ability to save the test results in a text file. The project aims to reduce time and cost associated with field claim evaluations, improve accuracy in identifying faulty components, and enable efficient troubleshooting and root cause analysis.

Presentations will take place at Floyd Hall in room D-204.

DIY Electrometer for Neural Electrophysiology

Medium Frequency Power Control for Industrial Furnaces

Presentations will take place at Floyd Hall in room D-204.

A Novel Haptic System with Advanced Force Sensing Capabilities for Soft-Robotic Applications

9 to 9:25 a.m.

Team Members:
Hakan Dogdu
Matthew Haley
Sergei Akhmatdinov

Sponsor:
Dr. Simin Masihi, Â鶹´«Ã½

Faculty Advisor:
Dr. Simin Masihi

Robots have been assisting humans for many years, especially in environments where human interventions are not allowed. This work aims to address the gaps in providing dexterous manipulations in current telerobotic systems, where efforts have been more focused on improving commercial haptic feedback devices. Multilayered pressure sensors with polydimethylsiloxane cones and porous structures were designed for applications where teleoperation involves interactions with a broad range of applied pressures. With a haptic system designed using a remotely controlled robotic hand and a piezoelectric actuator, our system provides expanded capabilities in fields such as robotic surgery and space exploration.

Smart White Cane

9:30 to 9:55 a.m.

Team Members:
Haonan Wen
Kenny Bainbridge
Matt Van Sickle

Sponsor:
Dr. Pnina Ari-Gur, Â鶹´«Ã½

Faculty Advisors:
Dr. Pnina Ari-Gur
Dr. Robert Makin
Dr. Simin Masihi

The white cane is a tool used by those who have low vision to manually scan for nearby obstacles. To make this process automatic, separate detection and alert modules have been designed and built to detect nearby obstacles. Camera and distance sensor data feed a machine-learning model to infer the presence of an obstacle. The obstacle classification is sent over Bluetooth to trigger vibrations on the back of the user’s hand. This Smart White Cane allows the obstacle scanning process (for those who have low vision) to be more automatic, ensuring greater independence and confidence in their daily lives.

Analog Sensor to CAN Bus Communication Device

10 to 10:25 a.m.

Team Members:
Corey Steinhauser
Elliott Smith
Jillian Bright

Sponsor:
Michael Roussin, B.S.E.’02, M.S.’17, Getman Corporation

Faculty Advisor:
Dr. Janos L Grantner

Dedicated systems that transmit analog data around a machine can add cost to the machine’s construction, so a more cost-effective device is needed to move these signals. By making use of the local controller area network (CAN) bus on the machine, a microcontroller was programmed to convert the analog information to digital before packaging the information in the J1939 format for heavy-duty vehicles. That packaged information is then broadcasted every 100ms onto the CAN bus. The microcontroller and other contributing components are mounted to a prototype PCB that transmits the information reliably at a cheaper price than the current system.

Position Sensor System for FOC of In-Wheel Motors

10:30 to 10:55 a.m.

Team Members:
Blake Crowton
Dan Stephan
John Skuratowicz

Sponsor:
Dr. Sandun Kuruppu, Â鶹´«Ã½

Faculty Advisor:
Dr. Sandun Kuruppu

Electric vehicles require compact and efficient motors to compete with fossil-fueled alternatives. In-wheel motors are an attractive alternative to conventional electric motors due to their compact form factor. The nature of these motors makes it challenging to implement sensor-based field-oriented control. The goal is to develop a position-sensor system compatible with in-wheel motors and adapt a field-oriented control program to utilize the sensor inputs. This enables the in-wheel motor to operate at a higher efficiency than what is currently available on the market.

Superconductor Critical Temperature Measurement System

11 to 11:25 a.m.

Team Members:
Al Muhanad Al Hadrami
Josue Rubuye Mugisho
Kaushik Mojumder

Sponsor:
Dr. Robert Makin, Â鶹´«Ã½

Faculty Advisor:
Dr. Damon Miller

Critical temperature is an essential parameter in superconductor production. An automated system to accurately and efficiently measure the critical temperature of superconductive samples grown in a lab via molecular beam epitaxy was developed. A sample holder and an electronic printed circuit board were constructed to obtain resistivity measurements of a superconductor sample. The system quickly provides users with accurate electrical data for thin film samples by establishing the relationship between temperature and electrical thin film material resistivity.

Autonomous Precision Landing System for UAVs

11:30 to 11:55 a.m.

Team Members:
Dante Bailey
Ramses Larabel
Shane Courter

Sponsor:
Dr. Tarun Gupta, Â鶹´«Ã½

Faculty Advisor:
Dr. Dean Johnson

An autonomous precision landing system for UAVs (APLSU) was developed to assist in the task of accurate landings. This would be useful in applications with package delivery, where battery efficiency and timing must be optimized. The APLSU will include a GPS-controlled flight path of the drone, and on the return trip, the drone will autonomously seek to find and land on the landing station in the most optimized route. Autonomous precision landing will play a crucial role in the future when drones are fully self-sufficient. The APLSU includes a working prototype and a landing station that can store drones.

Presentations will be held at Floyd Hall in D-204.

Rogowski Coil Monitor

9 to 9:25 a.m.

Team members

• Benjamin Gernaat
• Kevin Heinzman
• Noah Khanfar

Sponsor

• Tengam Engineering, Inc.

Faculty advisor

• Damon Miller, Ph.D.

High-frequency, large-amplitude current pulses can be sensed by an induced voltage across a Rogowski coil. The developed rechargeable device uses a Rogowski coil to measure up to 10kA current pulses at a maximum of 100kHz, with 1% accuracy. The design features a printed circuit board (PCB) for ease of construction. The PCB includes filters, amplifiers, an integrator, and battery charging integrated circuitry. LED indicators show the on/off status and battery state of the device.

Robotic Exoskeleton for Weightlifting Assistance

9:30 to 9:55 a.m.

Team members

• Kiran Bholiyan
• Donovan Colo
• Susmita Dey

Sponsor

• Tarun Gupta, Ph.D.

Faculty advisor

• Dean Johnson, Ph.D.
• Tarun Gupta, Ph.D.

A robotic exoskeleton that will assist the user in a ground-to-waist level lifting movement has been designed, built, and tested. It meets the need to assist industrial workers who must lift loads from the ground to the hip level, thereby reducing the physical strain on the body and preventing injuries and Work-related Musculoskeletal Disorders (WMSD). It is powered by a microcontroller that works in conjunction with the essential hardware – motors and sensors. The sensors detect the movement and the force exerted by the user, the microcontroller processes this data, and the motors provide the necessary assistance.

Fast Moisture and VOCS Test

10 to 10:25 a.m.

Team members

• Andrew Higgins
• Dagmawit Lamango
• Zachary Tay

Sponsor

• Sam Ramrattan, Ph.D., Â鶹´«Ã½

Faculty advisor

• Robert Makin, Ph.D.

Moisture Content and Volatile Organic Compounds (VOCs) tests are critical tests used to determine the quality and feasibility of casting sand. An existing Moisture Content Testing Machine has been redesigned with an infrared heater to reduce the testing time from ten minutes to five minutes. Time and accuracy are key in the metal casting industry. The completed machine would aid in quality control aspects of casting sand to produce better metal casted materials.

Design and Control of a DC Nanogrid

10:30 to 10:55 a.m.

Team members

• Ali Ahmed
• Ahmed Almuraikhy
• Daniel Nyambane

Sponsor

• Pablo Gomez, Ph.D., Â鶹´«Ã½

Faculty advisor

• Pablo Gomez, Ph.D.

This project involves the design and implementation of a table-sized DC microgrid, or nanogrid. It includes a photovoltaic panel, an energy storage system, different types of loads, and the ability for grid connection emulated by rectified wall power. An Arduino microcontroller is used to monitor and control the operational modes of the nanogrid, switching between islanded mode and grid-tied mode, based on the generation, storage, and load conditions. This nanogrid design serves to showcase the operation of a microgrid at a lower scale for educational, demonstration and research purposes.

WMU Soccer Field Lighting, Power Distribution and Control System

11 to 11:25 a.m.

Team members

• Princeton Johnson
• Rachel LaHaie
• Jordan Walker

Sponsors

• ThermalTech Engineering
• Gentex Corporation

Faculty advisor

• Damon Miller, Ph.D.

The WMU athletics department has recently shown interest in updating the soccer complex. The primary update is to add stadium lighting for night games including regional tournaments. To reduce construction costs, engineering drawings for light installation and power distribution were prepared based on a photometric study and a small-scale field model. These can be used to bid the project to vendors. The scale model stadium lamps are controlled by an Arduino with Bluetooth and light sensors.

MPPT Solar Charge Controller

11:30 to 11:55 a.m.

Team members

• Brice Leuenberger
• Tyler Starr
• Luke Thomas

Sponsor

• Pablo Gomez, Ph.D., Â鶹´«Ã½

Faculty advisor

• Pablo Gomez, Ph.D.

Maximum Power Point Tracking (MPPT) is a process that tracks the maximum output power of a solar panel (PV) to optimize usable solar energy efficiency. The MPPT solar charge controller sits between a 12V 20W solar panel and a 12V battery (load). The solar charge controller is operated by an Arduino microcontroller utilizing MPPT algorithms to measure and track PV output voltage and current levels. These levels supply the input to a DC-DC converter, which maintains desired output voltage or current levels for the load. Different MPPT algorithms can be selected within the charge controller to test changes in MPPT efficiency.

Helmholtz Cage Construction for Low-Earth Orbit Mag-Field Simulations

1 to 1:25 p.m.

Team members

• Eti Jean-Cedric Phinee Myles Gnamien
• Colin Goldschmidt
• Adebola Oke

Sponsor

• Western Aerospace Launch Initiative

Faculty advisor

Pablo Gomez, Ph.D.

The WALI mission as part of the University Nanosatellite Program (UNP) is to launch a nanosatellite into Low-Earth Orbit for comparison of the performance of an electrospray thruster in ground and space operations. A Helmholtz Cage was designed using COMSOL, a Multiphysics simulation software, and constructed to generate and simulate three-dimensional magnetic field conditions at about 400km altitude. An interface which unifies the system via a microcontroller is also designed to provide WALI engineers a user-friendly control mechanism for the cage. Furthermore, the cage can now be employed for any testing that requires a uniform magnetic field below 2 Gauss.

Modernization of Air Hockey Table

1:30 to 1:55 p.m.

Team members

• Ethan Burnside
• Marwan Issa Salim Al Kharusi
• Landen Wallace
• Zach Westmaas

Sponsor

• Robert Makin, Ph.D., Â鶹´«Ã½

Faculty advisor

• Robert Makin, Ph.D.

Air hockey tables have stayed the same since their invention 60 years ago. This modernized air hockey table uses a Raspberry Pi to control embedded LEDs beneath the playing surface for lighting; airflow control valves to lower airflow to certain zones of the table; and control of fans to create zones of varied airflow, enabling several game modes. The Raspberry Pi also has two inputs into the system: a touch-sensitive display for both players to decide game modes and sensors in the goals to determine if a goal was scored. The table now includes multiple new game modes.

Electrical and Computer Engineering
Session Chair – Ralph Tanner, Ph.D.
Room D-204/205 

High voltage power processing unit design

Student team: Omar Al Hashimi and Riya Subedi
Sponsor: Western Aerospace Launch Initiative
Faculty Advisor: Pablo Gomez, Ph.D.
9 a.m. – 9:25 a.m. 

There are many Power Processing units (PPU) available in the market, but it is difficult to obtain a commercial PPU that is optimized for an electrospray propulsion system. A low-cost high voltage PPU was designed and built to convert 5V digital input obtained from solar cells to 2000 V DC output. The PPU includes a Digital to Analog Converter (DAC), voltage follower, DEC-DC Boost converter, H-bridge, step-up transformer, and Crockcroft Walton Bridge. An Arduino was used as a microprocessor for the control system. The customized PPU will be used to generate the required voltage and current to power the electrospray thruster of the CubeSat.

Matrix multiplication acceleration for machine learning applications

Student team: Tawfiq Abuaita, Mohammad Islam and Danish Murshid
Sponsor: Computer Architecture and System Research Lab
Faculty Advisor: Lina Sawalha, Ph.D.
9:30 a.m. – 9:55 a.m. 

Sparse Matrix Multiplication (SPMM) and General Matrix Multiplication (GEMM) are commonly used as part of artificial neural network and deep learning applications. These operations are compute and memory intensive, especially with the emerging big data machine learning applications. This project aims to accelerate matrix multiplication by designing new specialized operations. These specialized operations set are added to the RISCV processor instruction set, and they will be designed and simulated using GEM5 computer architecture simulator. Finally, these operations will be designed using Verilog hardware description language and tested using Xilinx simulations on an actual Field-Programmable Gate Array (FPGA) board.

Interface-stacker renovation

Student team: Owen R. Avrill, and Zia Mohammed and MD Marsad Zoardar
Sponsor: Graphic Packaging International
Faculty Advisor: Dean Johnson, Ph.D.
10 a.m. – 10:25 a.m.

A new Controller to an Interface Shaker Machine (ISM) has been designed which will help reduce the complexity of the ISM while achieving a production capacity of 50,000 cartons per hour. Modern Allen-Bradley CompactLogix PLC was used with the latest Studio-5000 Software which reduced the complexity of the design and the requirements were met within the given budget of $10,000. Two Servo Motors were used between the collator machine and the gluer machine for precision speed control. A vibrator was used to make even sized stacks. Also, the safety feature of the system was enhanced all thanks to the Pilz Safety PLC.

Axial flux motor

Student team: Matthew Maletta, Blaik Ronders and Nicholas Warner
Sponsor: Richard Meyer, Ph.D.
Faculty Advisor: Pablo Gomez, Ph.D.
10:30 a.m. – 10:55 a.m.

The design of a scaled-down axial flux motor for the hybridization of a class 8 heavy-duty truck. This motor will be used for demonstration and research purposes by our sponsor Dr. Meyer. It will also become part of the ME 5950 electric vehicles lab that will perform tests on the scaled-down system on a variety of scaled drive systems. Our design will act as a physical engineering model for Dr. Meyer’s current project to make a hybrid semi-truck to help cut down carbon emissions.

Design of seebeck coefficient measurement system

Student team: Marwan Al Kharusi, Mohamed Al Riyami and Amos Lian
Sponsors: Robert Makin, Ph.D., and Steve Durbin, Ph.D.
Faculty Advisors: Robert Makin, Ph.D. ,and Steve Durbin, Ph.D.
11 a.m. – 11:25 a.m.

An all-in-one custom setup that allows to measure the in-plane Seebeck coefficients and electrical conductivities of anisotropic thin film samples close to room temperature. Both pairs, , can be measured using four contacts on the same sample, reducing measurement time, and minimizing potential sources of error due to aggregating data from several distinct samples.

Foundry sand loss on ignition measurement system

Student team: Andrew Burton, Chris Mennell and Imane Wydick
Sponsor: Sam Ramrattan, Ph.D.
Faculty Advisor: Damon Miller, Ph.D.
11:30 a.m. – 11:55 a.m. 

Moisture content, volatile organic content, and overall weight change of foundry sand after heating are critical factors in metal casting. These characteristics are measured by weighing sand samples during simultaneous heating with three heaters. The developed automated system requires a ten-minute test time as opposed to four hours using current methods. Weight measurements are logged by a computer for analysis using LabVIEWâ„¢.

Wireless Smart Plant Monitor

Shoe Insole for Gait and Mobility Analysis (SIGMA)

Analyzing gait, or the manner a person walks, is widely used in the sports medicine industry when identifying athletes' unique movements, determining gait patterns, or diagnosing abnormalities. SIGMA was aimed to create a more accessible device that allows users to check their gait from their own screens at a lower-than-market cost with more accuracy and durability. This was achieved using a microcontroller attached to athletic footwear that uses Bluetooth communication to connect to the user’s phone. The final insole prototype provides a network of sensors including pressure sensors, gyroscopes, and accelerometers incorporated into an insole.

Team Members:

Schuyler-James Jones

Paul Marsh

Nuha Terkan

Sponsor:

Center for Advanced Smart Sensors and Structures (CASSS), Department of Electrical and Computer Engineering,

WMU

Faculty Advisor:

Dr. Massood Atashbar

Two Phase Inverter Design

Nanogyro has designed a pair of coils that are 90° out of phase and the coils are to be driven by two AC voltages that are also 90° out of phase. Nanogryo has been using a signal generator to produce the two AC voltages, but as the signal’s frequency changes, the output impedance also changes, which is a problem. A microcontroller will be used to produce sine waves at the appropriate frequencies and constant phase output. The digital processing will remove any analog factors affecting the phase of the signals. This project will use a DC voltage to generate the two AC voltages (90° out of phase) with constant output impedances as the frequency changes.

Team members

• Jawad Alowa
• Breanna Alvin
• Tim Nowak

Sponsor

• Nanogyro Technical Lead, Department of Electrical and Computer Engineering, WMU

Faculty advisor

• Dr. Johnson Asumadu

CAB Micro

The field of science, technology, engineering and mathematics (STEM) education is continuously expanding and in further need of educational devices. A custom-made Arduino microcontroller circuit board with on-board sensors and motor controllers was designed using Autodesk EAGLE, a circuit design software. The microcontroller allows for a multipurpose and multifunctional programmable device for education in circuitry and computer programming. The device supports various methods of data collection and transmission for fostering and enhancing a Â鶹´«Ã½â€™s engineering capabilities. The completed device provides an educational modality that will support the education of future engineers.

Team members

• Sebastian Balde
• Jawid Nawazish
• Juan Rodriguez

Sponsor

• Frank Norton, uniteSTEM

Faculty advisor

• Dr. Robert Makin

White Cane Module

The White Cane Module is a wearable device for low vision individuals, designed to aid in obstacle detection as an addition to the White Cane Vest. The module begins by collecting optical data from an infrared sensor that outputs voltage signals based on distance from an obstacle. This signal is processed by a microcontroller which uses a Bluetooth transmitter to feed a series of vibrating electric motors. These motors use the signal to alert the user of an impending fall. Many individuals in the world lack access to affordable ophthalmology treatments, with future developments this device will be affordable and accessible by all.

Team members

• Gabe Gischia 
• Tabitha Hudson 
• Alwaleed Khalid 
• Emmanuel Oladipupo

Faculty advisors

• Dr. Pnina Ari-Gur
• Dr. Robert Makin

DIY Electrometer

An electrometer is a device used to stimulate a neuron with an electrical current and record its response. This is a critical piece of equipment in an electrophysiology lab. Commercial electrometers can be quite expensive. The high cost can be a barrier to undergraduate-level neurobiological stimulation experimentation. A DIY electrometer kit was designed and validated, building on previous projects. The cost of the DIY electrometer kit is about $400.00.

Team members

• Shelby Bessler
• Jadon Clugston
• William Murphy

Faculty advisor

• Dr. Damon Miller

DIY Electrometer Digital Interface

Studying the electrical properties of biological neurons requires precise control of injected currents and the ability to monitor the neuron membrane voltage response. An analog electrometer has been developed by other undergraduate and graduate Â鶹´«Ã½s. This project developed an add-on digital interface to enable application of custom neuron stimulation currents.  The device can capture the voltage response and current waveform in real-time for later analysis.  The system is affordable and open-source, using readily available commercial parts and builds on work by previous design group.

Team members

• Quang Nam Do
• Bharat Goel
• Dawson Hamill

Sponsor

• WMU Neurobiology Engineering Laboratory

Faculty advisor

• Dr. Damon Miller