Vincent Chan, Ph.D,
Department of Mechanical and Industrial Engineering
Faculty of Engineering and Applied Science
|Prof. Habiba Bougherara - EPH 312C||
1. Design and fabrication of a fibres’ extruder
This project consists of developing/designing an apparatus to extrude continuous fibres. This extruder will be used to extrude both natural and synthetic fibres for 3D printing applications. A representative concept showing how fibres are extruded is depicted in the figure below. The students are required to design/ develop/and assemble the extruder’s components. The cost of the developed extruder should not exceed $200. Requirements: Knowledge in material science, Design and CAD modelling (eg, Solidworks).
2. Design and fabrication of an arm robot for 3D printing
This project aims at designing and fabricating a 3D printing framework (shown in the figure below) which consists of an 6DOF arm robot equipped with a 3D printing extrusion head. This 3D printing framework will be used to fabricate high performance fibre reinforced polymer composites. The students are required to design/ develop/and assemble the 3D printing arm robot. A budget of 3k will be dedicated to this project. Requirements: Only outstanding students with Knowledge in material science, Design and CAD modelling (eg., Solidworks), programming can bid on this project.
|Prof. Jun Cao - EPH
1. Design of a tonadic-wind-resisting wall using CFD analysis
2. Design of a rigid frame used in support of a bridge using ANSYS analysis
|Prof. Vincent Chan - EPH 326
1. Backyard Cat/Racoon Deterent
Current backyard deterent divices rely on either; triggered water sprinkler, ultrasonic sound and or flashing lights to deter cats and racoons from backyard gardens. These devices initially work, however, as animals get used to them, they figure out ways to "outsmart" the deterent. The team is to expected to design and build (budget of < $100) a non-harmful (to animals, humans and plants) multi-faceted deterent system.
On of the problems faced by gardeners in the spring is the risk of frost overnight for tender tomato seedlings. A sensor based solution may be too late in covering the tomato seedling, as much of the heat absorbed by the soil may already be lost to surrounding air. Whereas a cover left on too long, may "cook" the seedling as heat builds up in the morning. Using an ESP8266 wifi module to get weather forecasts, temperature sensors, cloud computing and a hobby servo motor, the selected team will build a device to cover tomato seedlings when the risk of frost is imminent, and uncover the tomatoes when the temperature warms up.
|Prof. Daolun Chen -
1. Design of lightweight and corrosion-resistant magnesium body panels
The new fuel economy standards require automakers to bring the average fuel efficiency for all cars and trucks sold to 23.2 kilometres per litre (54.5 miles per US gallon) by 2025, nearly double the current average. According to a recent survey, lightweight structural materials will have the most impact in helping automakers meet fuel-economy targets. Design a new lightweight magnesium sheet metal panels for the next-generation auto production.
2. Design of a car engine cradle using lightweight magnesium alloys
Reducing weight in ground vehicles and aircraft is today considered as one of the most effective approaches to improve fuel economy and reduce anthropogenic environment-damaging emissions. The application of magnesium alloys, being the lightest structural metallic materials, has thus attracted considerable interest in the automotive and aerospace industries in recent years. Design a new car engine cradle using lightweight magnesium alloys to replace the heavier steel counterpart.
3. Design of a rotating bending fatigue testing machine
A rotating bending fatigue testing machine will be designed to test smooth round specimens. Bending stress is applied to the specimen by means of dead weights. An indicator providing the number of completed cycles with automatic shut-off upon specimen failure and providing an indication of the operating speed (in rotations per minute or RPM) is needed.
4. Design of a three-point bending fatigue test stage
A three-point bending fatigue test stage will be designed to fit into the existing Instron 8801 fatigue testing system, with a capacity of 50 kN and a factor of safety of 5.
|Prof. Seth Dworkin - EPH 324||
|Prof. Jake Friedman - EPH 301||
Not teaching this winter semester and therefore will not be supervising any teams.
|Prof. Alan Fung - EPH340A||
NOTE: Dr. Fung already has 2 teams in place for his projects - however each of the teams is looking for 1 mechatronics student. Please contact Dr. Fung directly if you are looking to join one of his thermal teams.
1. Design, Prototyping, and Performance Testing of Transcritical CO2 based Heat Pump System: (highest priority and must be done in W2019)
This project entails the conceptual design, prototyping, and performance testing of a transcritical CO2 based heat pump integrated energy system suitable for mechanical engineering education and research. The project will eventually provide a set of equipment for our thermofluids/energy related laboratories to better reflect the current state and interest of alternative/sustainable/renewable energy systems by the society, industry, and students. This CO2 heat pump based integrated energy system will be capable of providing space heating, space cooling, and domestic water heating in current and future energy efficient/net-zero energy residential houses in North America. The overall system will be suitable and used for various levels of mechanical engineering courses to demonstrate fundamental thermodynamics concepts/cycles, heat transfer principles, applied integrated energy systems and the related control strategies, and environmental issues. It should be noted that this project is partially funded by Ryerson FEAS and Department of Mechanical and Industrial Engineering and ASHRAE. It is expected that the chosen team will start working with our local heat pump manufacturer, Ecologix, right away to develop/build the CO2 heat pump for performance testing with proper instrumentation. At least one of the team members, along with a member the previous team, will attend the ASHRAE 2019 Conference to be held in the USA to present the project.
Heat pump, particularly coupled with renewable energy, is considered to be the key technology in heating/cooling applications for the future carbon neutral economy. However, conventional man-made refrigerants are not ozone friendly and contribute to the greenhouse effect. Carbon dioxide (CO2), naturally occurring gas, is environmentally friendlier. However, CO2 based heat pumps, run at much higher temperature and pressure (safety issues, but it will be good opportunity for the Canadian cold climate condition requiring higher temperature lift by the heat pump) than conventional heat pumps and the refrigeration cycles, are based on transcritical process of CO2 that requires proper gas cooler and control for efficient operation. Therefore, more studies are needed for CO2 based heat pumps to be widely accepted by the industry/consumers. Thus, it will also create opportunity for research. Having said that, pilot demonstration projects of using CO2 based refrigeration systems have been conducted for supermarket applications in Canada by the Natural Resources Canada (NRCan) and Sobeys (a national supermarket chains). In addition, many major automobile manufacturers have made the decision to adopt CO2 based air conditioning systems for their future automobiles. This trend will continue and accelerate, therefore, equipping our students with knowledge on such advanced and state-of-the-art system will be very beneficial to their future career.
2. Design and Prototyping of a Cloud-based Smart Dual Fuel Switching System (SDFSS) for Residential Hybrid HVAC System: (highest priority and must be done in W2019)
For this project, we are seeking a control-focused capstone team to design, integrate, instrument, and develop a custom-made cloud-based Smart Dual Fuel Switching System (SDFSS). This project should be able to demonstrate and highlight the flexibility and effectiveness of these hybrid HVAC systems in terms of energy efficiency, and energy cost and greenhouse gas (GHG) emission reduction potentials to the homeowners, industry, and society. The expected cloud-based modeling and optimization platform should be suitable for the deployment of the SDFSS controller for a large number of residential houses simultaneously at real-time (or on an hourly basis). If such a controller is widely deployed, it could potentially provide a cost effective and ubiquitous mechanism as a dispatchable load for utilities (both electric and natural gas) to better manage their infrastructure by maximizing the utilization of their assets through minimization of the mismatch between supply and demand under the smart grid infrastructure automatically and transparently without intervention by the home owners. Therefore, the proposed system will not only be beneficial to governments and utilities but also to home owners, by having a more flexible energy supply at a lower energy cost. It is expected that during the winter season the developed SDFSS will allow ASHP to operate at milder outdoor temperatures and/or during the off-peak electricity price hours while utilizing nature gas furnace/boiler at colder outdoor temperatures (when ASHP capacity and performance drop [2, 3]) and/or during the on-peak electricity price hours so that both energy cost and GHG emission can be minimized for residential space heating.
The Ryerson University developed smart SDFSS controller will significantly reduce GHG emission related to the operation of the HVAC systems to support Government’s Climate Change Action Plan (CCAP) and Cap and Trade program [4, 5] while offering user-friendly savings on the HVAC system energy cost. Based on an investigation on the current technologies on the market, it is found that the most modern thermostats, which are called "third generation thermostats”, only take outdoor temperature as an input parameter to determine the switching point between the air-source heat pump and the natural gas furnace (or boiler). This simple decision-making process, is in general too simple and not realistic, may forfeit the true potentials of the hybrid HVAC systems. The Ryerson University developed SDFSS system [6-9] estimates and utilizes the temporal efficiency and capacity of the air-source heat pump and the natural gas mini boiler/furnace (as two vital parameters that have direct impacts on the decision-making process) with hourly outdoor temperatures, be it measured directly on site or forecast indirectly from the CanMETEO software. Both time-of-use (TOU) electricity pricing scheme with corresponding hourly GHG emission factors [10-12] and natural gas price are taken into consideration to estimate the best switching point(s) between the air-source heat pump and the mini boiler/furnace for a given house. The HVAC energy cost, and more importantly GHG emissions, would then be minimized on an hourly basis. The effectiveness of the developed SDFSS is not comparable to the current oversimplified decision-making process. This project will aim to develop an advanced SDFSS controller that can be applicable and deployable on a cloud platform simultaneously serving a large number of residential houses in a cost and computational manner. To this end, the capstone design teams need to rent a secured cloud server and install all the smart dual fuel switching modeling and optimization algorithms in the cloud server using one of the supported cloud-based programming languages. Software will also be developed and installed on the cloud server to provide an accurate weather forecast information for the specific house location. This weather forecast information supports the smart dual fuel switching algorithms by predicating the near-term future hours optimum decision. At the house, a Wi-Fi connected thermostat utilizing the HVAC manufacture’s communicating protocol, will be installed and coupled with the new hybrid HVAC system. Minimum required sensors (such as natural gas meter for furnace and electricity meters for ASHP and AHU motor/fan, indoor and outdoor temp sensors) and wireless based DAQ/server will be installed. After upgrading the HVAC system by installing the advanced thermostat/data measuring sensors and setting up all the software and codes on the cloud server, an application programming interface (API) platform will be developed to transmit the optimum control signal from the cloud SDFSS controller server to the Wi-Fi connected thermostat at the house. The eventual cloud-based predictive SDFSS controller will send the optimum hourly switching signals to the thermostat in order to control the switching process between electric air-source heat pump and NG furnace. This novel cloud-based predictive controller combines the temporal weather information, energy prices and their GHG emission factors, with the unique knowledge gained about the house’s thermal demand and its equipment performance characteristics from the Wi-Fi connected thermostat at each specific house, for optimal real-time control of the HVAC system for the minimization of energy cost and/or GHG emission. Its services apply proprietary data analytics, strategy planning, and optimization algorithms for each individual house, and make ongoing, individualized micro‐adjustments to the connected home’s HVAC system. It delivers double‐digit percentage reductions in HVAC energy cost for consumers while increasing consumer satisfaction and thermal comfort. This controller is empowered to run the smart dual fuel switching system (SDFSS)  with connected thermostats to significantly mitigate GHG emission from each specific house. Figure 1 demonstrates the general control platform.
Based on the model design, there are two control platforms for implementing novel SDFSS technology at each customer’s site. The first control platform consists of all modeling codes and intelligent optimization algorithms that are installed in a cloud server and the second control platform is a Wi-Fi-connected thermostat that is installed at each customer’s house. Having the first control platform (SDFSS controller) ready and installed in the cloud, the second control platform simply implements the result of the SDFSS controller optimization in the thermostat via Wi-Fi enabled API support.
The team is expected to design, configure/setup, instrument, and develop a cloud-based platform of a Smart Dual Fuel Switching (SDFSS) system for the hybrid residential HVAC systems. The system will be made of the state-of-the-art key components (Wi-Fi connected thermostat, cold-climate air-source heat pump, high efficiency furnace/boiler, and wireless sensors and DAQ network) from Canada and United States with a flexible and user-friendly cloud server/service so that different experiments, including 1) optimal predictive HVAC system control for load shifting/shaving and demand response with and without short-term weather forecast information and 2) smart dual fuel switching control between ASHP and NG furnace/boiler for minimization of energy cost and GHG emission, can be developed and performed based on the proposed system.
The undergraduate capstone project team will work with Dr. Fung and his graduate students, to 1) design a web delivered SDFSS control platform, 2) make adjustment of predictive SDFSS controller based on the technical specification and characteristics of the case study house and its HVAC system, 3) set up a cloud server for running predictive controller by porting the existing MATLAB code to the Linux platform and automating the setup, 4) connect the cloud server to Wi-Fi connected thermostat and create read/write APIs, 5) set up a time-series database to archive and track copy of thermostat data and 6) set up a general graphing library to visualize the data, 7) design and perform automatic standard self-diagnostic testing of the ASHP and NG furnace to extract necessary performance data for the development and fine-tuning of the simplified grey- and black-box models for the given house and its equipment for cloud based optimization, 8) conduct series of controlled testing under different outdoor temperatures to assess the performance of the SDFSS on the hybrid HVAC system. This project may require at least two mechatronic students to perform many of the IT, programming, control and optimization related tasks for the successful completion of the project.
This project is funded by Ryerson FEAS and MIE Department and ASHRAE as part of our Engineering Program experimental facility in the areas of energy system, control, automation, data science, and IoT/IT. In addition, a local company, Cricket Energy, will be donating two different sets of hybrid residential HVAC systems to be installed/tested at the Toronto and Region Conservation Authority (TRCA) Archetype Sustainable House (ASH). The first set of equipment is comprised of an conventional ASHP and NG furnace while the second set of equipment is comprised of a cold climate ASHP and a NG mini boiler.
Please contact Dr. Alan Fung (email@example.com) for more details and background information.
|Prof. Ahmad Ghasempoor - EPH 325||
1. Design of an electric dropper post
2. Design of an electric bike lift for cars
|Prof. Siyuan He - EPH 312B||
1. LIDAR navigated robot car
Hardware: motors, encoders, optics, mechanical structure, robot car, LIDAR such as IDAR Lite series, etc.
Software: Navigation/obstacle avoidance program to drive the vehicle.
Prototype is required for this project.
|Prof. Wey Leong -
Not teaching this winter semester and therefore will not be supervising any teams.
|Prof. Bill Lin
2. Vibration suppression of unmanned arial vehicle.
3. Autonomous gutter cleaning robot.
|Prof. Hua Lu - EPH334B||will not be supervising any teams.
|Prof. David Naylor - EPH||
1. Design of a “Hands-on” Heat Conduction Lab for MEC701 Heat Transfer:
The current heat conduction apparatus (used in MEC701 Lab 1) is not engaging. Typically, more than twenty students watch a teaching assistant set up and run the experiment. The goal is to design an improved laboratory experience. The design team will first conduct a review of the various methods to measure the thermal conductivity of solids. The thermal performance of the design options will be simulated with finite element software (e.g. SolidWorks). Once the design is finalized, a detailed budget will be prepared, in order to replicate the apparatus. The vision is to have five identical lab stations, which can be manufactured in-house with standard machine tools and/or 3-D printing. This will allow small groups to interactively measure the thermal conductivity of different samples. To enhance the experiment, can the thermal diffusivity (k/ρcp) be estimated at the same time?
2. Design of a Thermoelectric Refrigerator:
Thermoelectric refrigerators produce a cooling effect (without moving parts or a working fluid) using 12V DC electrical power. This type of refrigerator can be ideal for automotive applications (e.g. ambulances, RVs, limousines). The project will start with a review of commercial units. The goal will be to predict and optimize the performance of a small refrigerator, using mainly heat transfer modeling. The project will require material selection, finite element thermal analysis and possibly, computational fluid dynamics (SolidWorks Flow Simulation).
|Prof. Don Oguamanan - EPH 319||
1. Bi-directional Lock
Design a lock mechanism that if unlocked (locked) locks (unlocks) irrespective of whether the key is turned clockwise or counterclockwise
2. Formula SAE - taken by team members.
|Prof. Marcello Papini - EPH327|
1. Design of an inline powder flow rate monitoring and adjustment system
The repeatability of abrasive jet machining operations is negatively affected by fluctuations in powder flow as it is mixed with the accelerating fluid. In this project, the team will design a system to monitor and adjust the powder flow rate in real time, to ensure a steady powder mass flow rate. Possible mechanisms for measuring flow rate to be investigated might include gravimetric, acoustic, or optical methods. Whichever method is chosen will need to be coupled to a control system that allows rapid changes in flow rate to be made by instantaneous changes in powder reservoir orifice size.
2. Design of a whirling arm abrasive jet micro-machining apparatus operating in a vacuum
|Prof. Ravi Ravindran - EPH332D||
1. Design of a Rotary Bubbling Lance (rotary degasser)
2. Investment Casting of Magnesium Foam using 3-D Printing
|Prof. Ziad Saghir - EPH 322||
|Prof. Fil Salustri - EPH 306B||
1. Re-conceptualizing the clothes dryer
|Prof. Farrokh Sharifi - EPH 318||
1. Design of Snake Robots
2. Image-based Control of Snake Robots
|Prof. Frankie Stewart - EPH320|
Dr. Stewart will only be taking on 1 additional team this semester.
1. Product Production/Automation Assessment
Involvement is required with a local company and several of their product line components. The student is required to already have, or establish, contact with a local company/ industry partner who will provide a product or family of products to be assessed.
2. Redesign for Company Product
Involvement is required with a local company and several of their product line components. The students are required to already have, or establish, contact with a local company/ industry partner who will provide a product or family of products to be assessed.
|Prof. Scott Tsai - EPH338B||
|Prof. Mark Towler - EPH319||will not be supervising any teams.
|Prof. Ahmad Varvani
- EPH 306C
1. Design Parameters to Control Ratcheting Deformation over Loading Cycles
2. Design of mechanism to pullout underground electric wires
|Prof. Venkat Venkatkrishnan - EPH312A||1. Design of nano Composite hockey stick:
The project required details analysis of nano composites (fabrication and design methodology) and its physical properties for its application in sport equipments. The group will be required to compare different nano composite materials, fabrication methodology and their design parameters. Theoretical data need to compare with simulated results under different design parameters considered.
2. Design of a micro fluidic device for biological cell analysis:
Lab on a chip is widely used for sensing and diagnostic application in biomedical field. The group is required to investigate various methodologies in fabricating micro fluidic devices, its advancement (state of the art). A cell separating micro fluidic device need to be designed based on the property of the biological cell and micro fluid mechanics principle. Design parameters validated by Simulation.
|Prof. Shudong Yu - EPH321||
Not teaching this winter semester and therefore will not be supervising any teams.
Prof. Kourosh Zareinia
1. A mechanically coupled master-slave system for teleoperation:
for manipulation of hazardous material with direct vision having a clear physical barrier (glass) between master and slave manipulators.
2. A simple two DOF planar haptic device
Electrically actuated with motors and a kinematically similar two DOF planar robotic arm as master-slave system for pick-and-place tasks.