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Project Progress Presentation Template

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Progress Presentation - Project I

Transcript: A Journey Start to End Presented by: Joel Lapointe, Michel Vaillancourt, Fraser Mitchell, Isaac Girouard, Mark Landriault, & Errol Brown 3 parts sand to 1 part masonry cement Slowly add water to find smooth consistency Procedure yielded: 15 x Mortar Cubes (Type -S) & 15 x Mortar Cubes (Type-N) Procedure yielded: 15 x Concrete Molds (20 mPa) & 15 x Concrete Molds (32 mPa) THANK YOU Freeze-Thaw Cycles of Concrete, Mortar, & Earth Molds should be filled in 3 equal layers Each layer rodded uniformly 25 times Using a 16 mm diameter x 450 - 600 mm long hemispherically tipped steel rod Determine the de-icing agent with most severe effects Discovered material strength after corrosion Potential research projects for following years Work Experience Casting Procedure(s) Mortar Casting Procedure READY TO TEST! Outcome Fill & Rod Molds Results & Information Experiments & Tests PRECIPITATION Freeze-Thaw Cycle (six months) Salt brine solution Compressive Resistance Testing Prevent deterioration Reduce maintenance costs for Sidewalks Roadways Driveways Foundations Prevent road accidents & disasters Transfer to Controlled Environment Experiment on three types of materials: Concrete Mortar Earth Six-month freeze-thaw period Four types of Salts WEAR FROM HUMAN CONTACT, TRAFFIC ETC. What do you plan to do? Minimum of 20 hours Set cylinders on rigid horizontal surface free from vibration Controlled environment of 20 degrees Celsius (+/- 5 deg.) Tops covered with non-absorptive, nonreactive plate (or a plastic bag) to prevent loss of moisture (with water & admixture) Ensure temperature is maintained Store in a safe location away from disruption Preparation Why is it important? Limitations Remove from Molds Compile all graphs, procedures, photos, documents & results Mix Mortar Remove from Molds Cure Mortar SIMULATED ENVIRONMENT (FREEZER) Cured for one month's time Transfer to Controlled Enironment Ensure temperature is maintained Store in a safe location away from disruption VALIDITY OF RESULTS Concrete Casting Procedure Specimens shall be removed from the molds at the end of 28 days and stored in a moist condition until time of testing Prepare Technical Report ! √ Researched testing procedures & ASTM testing standards √ Acquired advisor √ Acquired materials: - Cement, sand & gravel - Air entrainment admixture - Mortar - Earth √ Acquired workplace √ Acquired freezer √ Acquired salt Cure Concrete Compressive Strength Deterioration caused by the de-icer agent Effectiveness of the de-icer agent Why is it beneficial to the industry? READY TO TEST! WATER RUN-OFF What is your project? 1. Rock Salt (sodium chloride) 2. Sifto Extreme (potassium chloride and calcium chloride) 3. Xynyth Natural (potassium chloride) 4. Alaskan (urea, potassium and calcium chloride) Potassium Chloride (KCl) Molecular Structure Sodium Chloride (NaCl) Molecular Structure Mix cement, gravel & sand Fill Molds

Project Research Progress Presentation

Transcript: PROJECT PROGRESS RESEARCH TIMELINE Jose Luis Martinez Diaz s3499050 MC225 Master of Aerospace and Aviation Qualitative Analysis 20th September: Students make a presentation for the supervisors SCHEDULED ON FRIDAY 23RD SEPTEMBER 11th October: Students make a final presentation practice (Emphasize on the Results and Conclusions). 18th October: Students submit thesis to the supervisors for marking 25th October: Approximate date for final presentations in the final Project research conference Supervisors: Associate Professor Cees Bil Senior Lecturer Graham Wild Co-Investigators: Associate Professor Adrian Dyer Chief Flight Instructor Colin Brown SCHOOL OF ENGINEERING (AEROSPACE AND AVIATION) INITIAL RESULTS OENG 1108 MASTER´S RESEARCH PROJECT RESEARCH PROJECT PROGRESS PRESENTATION 90% of the measurements have been collected It is required to measure 2 more student pilots and 3 more experts The measurement of the last 2 expert pilots is subjected to the availability It is required yo increase the data storage capacity in the RMIT server in order to comply with the Ethics Approval Ethics Amendment application Process. The data do not follow normal distribution and it was required to make transformations (normal values to LN) Quantitative Analysis Repeated Measures 3-Way ANOVA IV Expertise X Condition x Lighting DV Metrics ANALYSIS METHODOLOGY Significant Differences Between Experts and Cadets Significant Differences during Optimal-Turbulence Conditions Differences Between Experts and Cadets during Day-Night Scenarios

Project presentation template

Transcript: text box Sheet title Sheet title Sheet title images & text images & text Project title here Project title here PROJECT TITLE Sheet title text box add logos here text box Project title here Project title here Project title here Project title text box Project title here text box Sheet title Project title here Project title here Assignment text box Sheet title images & text add logos here xx/xx/xxxx text box Project title here text box CHAPTER II "Quote relevant to project" text box images & text text box images & text Project title here Project title here images & text text box "Quote relevant to project" images & text Project title here CHAPTER III text box text box text box IDEAS & AMBITION Sheet title Project phase images & text add logos here images & text text box xx/xx/xxxx text box images & text text box text box Project title here DESIGN PRINCIPLES Project title here images & text Sheet title Project phase text box Sheet title images & text images & text images & text Sheet title Sheet title text box Sheet title Project title here images & text text box text box Sheet title images & text text box images & text text box PROJECT TITLE Project title Project title Sheet title Sheet title Project phase images & text images & text "Quote relevant to project" Sheet title images & text images & text Project title here Sheet title Sheet title images & text text box text box text box text box text box CHAPTER 1 Sheet title text box text box Project phase DESIGN images & text images & text Sheet title Sheet title Sheet title Project title here Project title here Project title here Sheet title text box Sheet title Sheet title PROJECT TITLE Project title here add logos here Sheet title Sheet title Project title here text box Project title here Project title here Sheet title Project title here images & text Project title here text box xx/xx/xxxx Sheet title Project title here Project title here images & text images & text images & text ANALYSIS Sheet title Project title here "Quote relevant to project" RISKS & OPPORTUNITIES Project title images & text PHILOSOPHY PROJECT TITLE Quote & cover image Sheet title images & text images & text IDEAS & AMBITION images & text images & text "Quote relevant to project" Sheet title Project title here AULa Design Bert Tjhie Tao Wang Postbus 1993 | 1000 BZ Amsterdam Cruquiusweg 111A | 1019 AG Amsterdam T +31 (0)20 624 5904 E info@aula-design.com www.aula-design.com © AULa Design 2013 Project title here cover image here Project title here Sheet title Project title here Sheet title Project title here text box Project title here CHAPTER IV Project title here Sheet title Project title here TABLE OF CONTENTS Project title here Project title here text box Write assignment here text box text box text box Project title here Project title here images & text Project title here Project title here Sheet title text box Sheet title Sheet title Project title here PROJECT NAME text box Quote & cover image Sheet title xx/xx/xxxx Sheet title text box Quote & cover image Sheet title Sheet title images & text text box Sheet title

Project progress presentation.

Transcript: Thank you for your attention Dallara F312 modelling and simulation Project progress presentation Adrian Rodriguez July 2018 Aim and Objectives Aim and Objectives 1 Adrian Rodriguez - July 2018 Develop a LTS method for Drivex Euroformula open team based in the Dallara F312. Build an accurate model of the car. Create virtual models of the circuits. Generate an automatic link between the VDP and the LTS. Develop and optimize the real car for all the meetings in the calendar. Progress 2 Adrian Rodriguez - July 2018 Literature Review. Learn Chassissim. Car parametrization. Creation of vehicle model. Progress against the Plan 3 Adrian Rodriguez - July 2018 Methodology 4 Adrian Rodriguez - July 2018 Dallara F312 Parametrization: Aerodynamic. Kinematics. Stiffness. Dampers. Engine. Gearbox and Differential. Tyres. Circuit creation: Vehicle model: Monster file. Curvature file. Bump profile. Altitude file. Basic model. Correlation against real data. Conclusions and Results 5 Adrian Rodriguez - July 2018 Basic model first simulated lap: Results after model correlation adjustment: Dampers position: Roll Angle: Future steps 6 Adrian Rodriguez - July 2018 Create all the circuits. Model and correlate all the car configurations. (HDF, MDF and LDF). Automatic link between VDP and LTS. Simulate and optimize the vehicle before each race. Progress Progress 2 Adrian Rodriguez - July 2018 Literature Review. Learn Chassissim. Car parametrization. Creation of vehicle model. Questions? Future steps 6 Adrian Rodriguez - July 2018 Create all the circuits. Model and correlate all the car configurations. (HDF, MDF and LDF). Automatic link between VDP and LTS. Simulate and optimize the vehicle before each race. Progress against the Plan Progress against the Plan 4 Adrian Rodriguez - July 2018 Methodology Methodology 3 Adrian Rodriguez - July 2018 Dallara F312 Parametrization: Aerodynamic. Kinematics. Stiffness. Dampers. Engine. Gearbox and Differential. Tyres. Circuit creation: Vehicle model: Monster file. Curvature file. Bump profile. Altitude file. Basic model. Correlation against real data. Conclusions and Interim Results Conclusions and Int. Results 5 Adrian Rodriguez - July 2018 Basic model first simulated lap: Results after model correlation adjustment: Dampers position: Roll Angle: Future steps Future steps 6 Adrian Rodriguez - July 2018 Create all the circuits. Model and correlate all the car configurations. (HDF, MDF and LDF). Automatic link between VDP and LTS. Simulate and optimize the vehicle before each race.

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