MEC825
Mechanical Design
Winter 2019

Vincent Chan, Ph.D, P.Eng
Associate Professor
Department of Mechanical and Industrial Engineering
Faculty of Engineering and Applied Science



Mec825  Group Meeting time
Thursdays 8am-10am

Mec825 Lectures
Thursdays 10am - 12noon
DSQ-02

Note: attendance to lectures is mandatory,
as we will usually have invited speakers
from industry talking to you about
engineering design.




Deadlines
Project Bid RFP's Due: Monday, Jan 14th, 2019, 3:00pm, Mechanical Dept. Office - wooden box
Your team can submit bids to as many project below as you want, however, all bids must follow the RFP format outlined below.
No late bids will be accepted!
All bids will be reviewed and awarded soley to winning teams by V. Chan, P.Eng.

Project Timeline Due: Monday, Jan 21st, 2019, please hand in to V.Chan's assignment box

Responsibilities of Each Team Member - Due: Friday, Jan 25th, 2019, please hand in to V.Chan's assignment box

Interim Report - Due: Friday, Feb 15th, 2019, please hand in to V.Chan's assignment box

Interim Report Requirements:
Please use the template below
Table of Contents - Completed and Future Chapters in the final engineering report
Introduction - Explain the problem and your design methodology to solve it.
Literature Review - what others have done to solve this problem
Other - as your faculty supervisor requested

Preliminary Design Drawings (including flowcharts if necessary) -
Due: Friday, March 8th, 2019, please hand in to V.Chan's assignment box

Conference Paper - Due: Friday, April 5th, 2019, 2 hard copies and .pdf uploaded to D2L, please hand it to the Mechanical Dept. Office by 3pm

Final Reports
- Due: Friday, April 5th, 2019, please hand in 2 hard copies to the Mechanical Dept. Office by 3pm

Project Presentations - All Day!
Note: Please see D2L for deadlines if you want the dept. to print your poster.
  

Ryerson Engineering Day (RED):
* Time: TBA
* Venue: ENG Building.
* Lunch: The Dean's Office will provide pizza and pop.
* Poster: Poster requirements will be posted to D2L
* Poster Printing: You'll need to submit a PDF to MEC825-D2L page - deadline Monday, April 15th.
if you want "free printing" - otherwise you'll be responsible to pay and print the poster yourself.
* Poster Stands: To be provided by the Dean's office.



Templates

Request for Proposal Template - Word Document - 34K

Interim Report Template - Word Document - 28K

Conference Paper Template - Word Document - 39K

Final Design Report Guide

Design Report & Presentation Guide - PDF - 120K




Design Projects - Winter 2019

Note: Professors usually only supervise 2 groups max.
Client
Project Brief
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).

extruder patent

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.

robot armextruder arm



Prof. Jun Cao - EPH 316

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.

2. Internet of Things (IoT) - Tomato Covers

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 - EPH 340B

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

 
Not teaching this winter semester and therefore will not be supervising any teams.


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.

One of the most prominent world problems is climate change due to the consumption of fossil fuels and the associated greenhouse gas emissions. Global warming is affected by different factors such as low efficiency of equipment as well as release of refrigerant gases like HCFCs (hydro-chlorofluorocarbon) and CFCs (chlorofluorocarbon). Based on statistics from International Energy Agency (2007), households consume about 29% of total world energy. More than half of this amount is being consumed for the space heating and cooling, and domestic water heating. One of the popular equipment in residential sector in order to fulfill these purposes are heat pumps. This technology employs refrigerants in order to transfer the heat from cold temperature source to hot temperature sink.

After abolishing the use of CFCs and HCFCs in the Montreal Protocol, two replacement categories were hydrofluorocarbons (HFC) and natural refrigerants. A release of one kilogram of an HFC gas has 1000-3000 times contribution to global warming than release of one kilogram of CO2. Due to high global warming potential (GWP) of HFCs, these gases have been included in the Kyoto Agreement to be regulated (Neksa, 2002). Among all natural gases, CO2 has ozone depletion potential (ODP) equal to zero and global warming potential equal to one. It is not toxic, flammable or corrosive (Papadaki et al., 2015). There is a net surplus of CO2 in the world that can be used in the refrigeration cycle, therefore CO2 is widely available and inexpensive (Neksa, 2002).

Despite all the mentioned benefits, two factors must be considered while employing CO2 in heat pump refrigeration cycle: 1) low critical temperature, and 2) high working pressure. CO2 become super critical fluid at temperature of 31.1°C and pressure of 73.7 bar. Therefore, this low critical temperature limits the operating temperature range for subcritical cycles because heat cannot be transferred at temperatures greater than critical temperature (Austin et al., 2011). High pressure can cause design challenges but by today technology and knowledge, this challenge has been transformed to an advantage of decreasing component sizes due to high volumetric capacity (Neksa, 2002). Due to low efficiency, CO2 systems could have higher energy consumption than HFC systems, hence they can indirectly contribute to global warming. Because this contribution depends on the real working condition of each application, there are some research which investigate the correlation between working condition and output efficiency. Calebrese et al. (2015) presented experimental results for an air to air heat pump roof-top system with transcritical CO2 cycle during the heating season. The results showed that for temperatures above 16 °C in gas cooler inlet, the studied heat pump could operate with COP less than HFC heat pump. On the other hand, for temperatures less than 10°C in gas cooler inlet, the systems operated steadily and the lower the temperature the higher the performance obtained. Yang et al. (2010) developed a mathematical model for transcritical water to water CO2 heat pump. The model results, which were verified by the experimental data, demonstrated that by decreasing inlet temperature and increasing mass flow rate of cooling water, the system performance increased and the optimal heat rejection pressure reduced.

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) [6] 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 (alanfung@ryerson.ca) for more details and background information.

Prof. Ahmad Ghasempoor - EPH 325

1. Design of an electric dropper post

https://www.youtube.com/watch?v=mbRMlxUR4gY

2. Design of an electric bike lift for cars

https://www.youtube.com/watch?v=xd1UvSKXwLM

Prof. Siyuan He - EPH 312B

1. LIDAR navigated robot car
This project is to design/develop a LIDAR (light detection and ranging) navigated robot car. The robot car can be the one from MEC733. The project will focus on the LIDAR navigation part which includes the following tasks: 1) Develop the scanning mechanism to realize horizontal scanning based on the single point LIDAR  such as LIDAR-Lite series; 2) Interface with the microprocessor to get the map signal from the LIDAR; 3) Navigate the robot car using the map obtained from LIDAR on the floor to avoid obstacles.

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.

Cancelled 2. Smart projector screen
This project is to design a smart screen for projector. The screen is based on the the wall or normal projector screen. Design a detecting system to detect the coordinates of the finger tip when it touches the wall or the screen. The detected coordinates will be sent to the computer to execute commands such as clicking menu button, drawing shapes, etc. Such that, the presenter can interact on the wall or screen where the image is projected onto, and the screen acts like a big touching screen.

The project focuses on designing the finger tip touching detecting system. One possible solution is to use infrared laser beams to scan across the screen area, and image sensors to detect the coordinates of the finger tip. The project work will focus on: 1) Design the detecting method; 2) Design the infrared laser scanning mechanism (motor, encoder, mechanical structure, optics, etc.); 3) Design the detecting unit (image or photo sensors, signal processing, etc.); and 3) Microprocessor software development for extracting coordinates of finger tip.

 

Prof. Wey Leong - EPH 306A

Not teaching this winter semester and therefore will not be supervising any teams.

Prof. Bill Lin
EPH 317


1. Autonomous snow removal robot.

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
Abrasive jet micromachining uses a jet of  compressed fluid to accelerate micro-abrasive particles to high speeds.  The jet impinges a target which has been covered with an erosion resistant masked pattern in order to create features such as microchannels, etc.   It has been found that more accurate and smaller features can be made if the size of the abrasive particles is decreased.  However, at below ~<10 um, aerodynamic effects hinder the ability of the particles to strike the surface as the particles tend to follow fluid streamlines.   This difficulty could be overcome if the machining was performed in a vacuum.  To this end, the team will design a whirling arm apparatus to launch the particles, and a vacuum chamber in which to perform the machining.  Possible avenues for feeding the particles into the whirling arm will also be explored.

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


1. Waste to energy Tri-generation system



Prof. Fil Salustri - EPH 306B

1.  Re-conceptualizing the clothes dryer
The clothes dryer is the second most energy-consumptive appliance in a typical North American household, yet little attention has been paid to it. The task is to re-conceptualize the clothes dryer with the particular goal of lowering energy consumption. This project involves examining every assumption made about existent clothes dryers, and looking at innovative - though not necessarily “high-tech” - ways to dry clothes. Some key aspects include: how to heat air efficiently; how to distribute that air evenly within the dryer; how to prevent waste heat; and how to control the heating process for improved efficiency. The project may focus on one or more of these features.

NOTE: Dr. Salustri will only be supervising 1 team this semester.
Prof. Farrokh Sharifi - EPH 318

 

1. Design of Snake Robots
The overall objective of this project is to successfully develop a working robotic snake in larger scale to aid search & rescue personnel or in smaller scale for medical interventions. The project will build on the previous work to identify the shortcomings and to enhance the design. A complete working prototype is required. Also experiments will need to be conducted to prove its applicability.

2. Image-based Control of Snake Robots
The purpose of this project is to implement real-time control of a sample snake robot to go through the obstacles. The emphasis is on image acquisition, processing, and control design. The experiments will be required to verify the design.


Prof. Frankie Stewart - EPH320

Dr. Stewart will only be taking on 1 additional team this semester.

1. Product Production/Automation Assessment
A current product manufactured and assembled by an area manufacturer would be assessed for effective/efficient manufacture process with particular attention to possible automation improvement.

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
A current product manufactured and assembled by an area manufacturer would be assessed for manufacture process and assembly operation optimization using DFMA [Design for Manufacture and Assembly] methodology as well as automation hardware and software.

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


Not teaching this winter semester and therefore will not be supervising any teams.



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

- EPH305


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.



Team Forming Rules:

1) You can form your own team.
2) You cannot have more than 4 people in your team.
3) Teams should be made up of a mix of people from different streams.  There should not me more than 3 people for any one stream.  
4) If you are still having trouble making up a team, please e-mail me.

NOTE:  Students who have their own industry sponsored project still have to submit a project bid proposal on their project.  The same rules and deadlines apply.  You must have 4 team members.
Please include contact information for your industry sponsor and which Mech Prof. has agreed to supervise your team.


Request For Proposals
(RFP's)
In both small and large companies, new engineering projects are often farmed out to engineering consulting companies.  To hire the right consultants, companies will put out a Request for Proposals (RFP).  An RFP is a way for consulting companies to bid on engineering projects.  In a way, its lays out how an engineering project should proceed, and a method to explain to your potential client why you have the expertise to carry out this project.

For MEC825 - the design projects will be given to groups based on the merit of their RFP.  Your proposal should include the following information:

Page 1 - Executive Summary - a brief description of your project
Page 2 - Information about your team, qualifications and contact information
Page 3 & 4 - Detailed description of the project
Page 5 - Quality, testing and benchmarking
Page 6 - Project stages and milestones
Page 7 - Deliverables at the end of the project

Request for Proposal Template - Word Document - 34K



Page created: Fri. Nov. 25th,  2005, last update: Feb. 26th  2018 by: Vincent Chan, Associate Professor, Department of Mechanical & Industrial Engineering, v7chan@ryerson.ca.
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