Final Presentation

Description

Presentations of the projects are given a few days after the Final Demo to an audience of fellow student reviewers, the lab instructors, and occasionally faculty or even students from outside the class who are following up a project of personal interest to them. The style is formal and professional, and students should dress accordingly.

Requirements and Grading

Each project team has 25 minutes for a Powerpoint presentation and questions. Every group member must present their own work contributing to the project and be ready to answer questions. Individual grades are given, and everyone in the audience participates in evaluating the presentation. Talks are judged on the basis of presentation technique and of technical organization and content.

Points of technique include dress, use of display materials and their design for readability, clarity of speech, absence of annoying mannerisms, proper eye contact with audience and smooth transitions between speakers. Content is judged on use of a proper introduction, orderly and connected development of ideas, absence of unnecessary details, proper pacing to stay within the allotted time, and an adequate summary at the close of the talk. Quantitative results are expected whenever applicable. Here is a general outline to follow:

  1. Introduction
  2. Objective
  3. Review of original design, requirements, and verifications
  4. Description of project build and functional tests
  5. Discussion of successes and challenges, as well as explanations of any failed verifications demonstrating and understanding of the engineering reason behind the failure
  6. Details of other tests including tests not explicitly required for verification procedures
  7. Recommendations for further work

Any significant relevant ethical issues should be briefly addressed, preferably in a single slide.

Presentations will be graded using the presentation grading rubric. Two sample Presentation documents - with notes at the top - are available at: Sample PRES 1, Sample PRES 2

Here are some recent presentations you can refer to: FA20_Team13, FA20_Team3

Submission and Deadlines

Slides for your final presentation must be uploaded to your project page on PACE prior to your presentation time. Deadlines for signing up may be found on the Calendar. Sign-up for the final presentation is done through PACE. Remember to sign up for a peer review of another group.

A Micro-Tribotester to Characterize the Wear Phenomenon

Shuren Li, Boyang Shen, Sirui Wang, Ze Wang

A Micro-Tribotester to Characterize the Wear Phenomenon

Featured Project

**Problem**

Many research efforts have been made to understand the complex wear mechanisms used to reduce wear in sliding systems and thus reduce industrial losses. To characterize the wear process, coefficient of friction needs to be measured “not only after completion of the wear test but also during the wear test to understand the transitional wear behavior that led to the final state”.(Penkov) In order to improve the effectiveness and efficiency of these research methods, it is necessary to improve the instrument used to characterize the wear phenomenon to better measure the friction coefficient of the material. Although the instrument can be applied on all solid samples, we will use silicon wafer coated with SiO2 as our specimen targeted object.

**Solution Overview**

The objective of the experiment is to evaluate the wear phenomenon of the sample during the sliding test so as to obtain the wear information of the material. We will design planar positioning and force sensing system to get the move and force information of our objects. To collect the data of vertical load and horizontal friction, 2 force sensors are mounted on linear rails to minimize the radial force and ensure that only the axial forces are collected. Then, the coefficient of friction can be calculated by equation:

![](https://courses.grainger.illinois.edu/ece445zjui/pace/getfile/18615)

And to determine the relationship between the coefficient of friction and the state of wear, we use a microscope to monitor the state of wear at a given location in the wear track and evaluate the wear process during each sliding cycle. In this way, we can investigate the wear transition processes with respect to the sliding distance then transport our data to a computer. Finally, we will design our data processing method in the computer to successfully obtain an acceptable result in the margin error.

**Solution Components**

1. Motion Platform: This subsystem includes a linear actuator that moves the sample in reciprocating motion along X-axis, a stationary counter surface that applies constant vertical load onto the sample, and another actuator that compresses the spring and provides a vertical load to the counter sample.

2. Specimen and Counter surface: We will test the wear and friction between the specimen and the counter surface during the sliding test. A 10 × 10 mm^2 silicon (Si) wafer coated with 50 nm thick SiO2 will be used as the specimen and a stainless-steel ball with a diameter of 1 mm was used as the counter surface.

3. Sensors: This subsystem includes two force sensors that measure the vertical load and horizontal friction. The Load Sensor should assemble along with the Z-axis actuator. To measure the friction without the effect of load, we assemble the Load Sensor and Friction Sensor sensor on the Linear Rails, as the photo attached shows. Since the sensors are strain gauges and only outputs, small changes in resistance, amplifiers, and ADC are needed to collect the signal and send converted data to the computer.

4. Data Processing: This subsystem includes acquiring raw data of load and friction on the computer, applying necessary filters to reduce noise and improve accuracy, and plotting the result that reflects the relationship between the sliding cycles and coefficient of friction for our sample.

![](https://courses.grainger.illinois.edu/ece445zjui/pace/getfile/18611)

**Criterion for Success**

1. Motion platform can perform precise reciprocation. The control system can effectively control the number and speed of reciprocating motion.

2. The acquisition unit can collect data effectively and can transfer the data that can be processed to the computer.

3. On a computer, the raw data can be processed into a readable graph based on algorithms set up. By analyzing the graph, the relationship between the data and the expected results can be correctly obtained.

**References**

Penkov OV, Khadem M, Nieto A, Kim T-H, Kim D-E. Design and Construction of a Micro-Tribotester for Precise In-Situ Wear Measurements. Micromachines. 2017; 8(4):103. https://doi.org/10.3390/mi8040103