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<title>Rheoprinter-Cover</title>
<h2>Table of Contents</h2>
<p><a href="#TC1"><h3>1. Background</h3> </a></p>
<p><a href="#TC1.1"><h4>1.1 Motivation & Initial Project Idea: "A Desktop Rheometer?"</h4> </a></p>
<p><a href="#TC1.2"><h4>1.2 The Science of Rheology</h4> </a></p>
<p><a href="#TC1.3"><h4>1.3 Rheometers - Operating Principles</h4> </a></p>
<p><a href="#TC1.4"><h4>1.4 Neil: "Do you actually need classical rheometry to achieve what you want?"</h4> </a></p>
<p><a href="#TC2"><h3>2. Proposed System: "The Rheoprinter"</h3></a></p>
<p><a href="#TC2.1"><h4>2.1 The Nelder-Mead Algorithm</h4> </a></p>
<p><a href="#TC4"><h3>4. Rapid Prototyping</h3></a></p>
<p><a href="#TC4.1"><h4>4.1 System Modules</h4> </a></p>
<p><a href="#TC4.2"><h4>4.2 Final System</h4> </a></p>
<p><a href="#TC5"><h3>5. Test</h3></a></p>
<p><a href="#TC5.1"><h4>5.1 Online Rheoprinter Console</h4></a></p>
<p><a href="#TC5.1"><h4>5.2 Challenges & Next Steps</h4></a></p>
<hr>
<h3 id="TC1"> 1. Background</h3>
<h4 id="TC1.1"> 1.1 Motivation & Initial Project Idea: "A Desktop Rheometer?"</h4>
<p class="lead text-justify"> In this project we aim to build a system that "learns" optimum printability
conditions on the fly for materials that are primarily utilized in additive manufacturing (AM). The
micro-extrusion system measures printability using computer vision and searches for optimum machine
parameters using optimization algorithms. Both tasks are happening real-time allowing the system to be
both a measurement and a printing device in parallel. With this strategy, we introduce "printability"
as an emergent material property that can be efficiently measured and not derived through time-consuming
and trial & error parametric studies following classical rheological measurements. Such systems could
potentially accelerate the development of novel materials for a wide range of applications.
</p>
<ul class="list-group lead text-center">
<li class="list-group-item">Material Measurements for the Masses</li>
<li class="list-group-item">Understanding the Rheology of Complex Fluids</li>
</ul>
<br>
<p class="lead text-center"> Transforming a peptide gel (99% water) into a yield-stress material for 3D printing.</p>
<img src="images/yield-stress.jpg" class="img-thumbnail" width=50%>
<br>
<br>
<li class="list-group-item"><b>"YIELD STRESS":</b> An ever increasing viscosity as the shear rate
approaches zero, i.e. does not flow/ solid-like when stationary</li>
<li class="list-group-item"><b>"ZERO-SHEAR VISCOSITY":</b> The viscosity plateau's as the shear rate
approaches zero, i.e. flows/ liquid-like when stationary</li>
<h4 id="TC1.2"> 1.2 The Science of Rheology</h4>
<br>
<br>
<br>
<hr>
<h4 id="TC1.3"> 1.3 Rheometers - Operating Principles</h4>
<br>
<br>
<br>
<p class="lead text-center"> Transforming a peptide gel (99% water) into a yield-stress material for 3D printing.</p>
<img src="images/TA.jpg" class="img-thumbnail" width=50%>
<br>
<p class="lead text-center"> The Instron Capillary Rheometer.</p>
<img src = 'images/capillary-rheometer.jpg' class="img-thumbnail" width=30%>
<img src="images/INSTRONnew.jpg" class="img-thumbnail" width=30% height="30%">
<br>
<p class="lead text-center">The measured qunatities (angular deformation and torque) are transferred into a
material quantity (stress, strain, viscosity, etc.)</p>
<p class="lead text-center"> Instrument specific measured quantities are used to calculate material-specific
parameters.</p>
<img src="images/measured-calculated.jpg" class="img-thumbnail" width=50% height="50%">
<p class="lead text-center"><b>Fluid Dynamics of Rotational Rheometry</b></p>
<p class="lead text-center"> Working Equations for rotational rheometers with <b><i>parallel plate geometry</i>.</p>
<img src="images/parallel-plate-geometry.jpg" class="img-thumbnail" width=50% height="50%">
<br>
<p class="lead text-center">Thus, by varying the shear rate and measuring the change in torque, the viscosity
may be determined explicitly.</p>
<p class="lead text-center"><b> Notes on Experimental Procedures:</b></p>
<p class="lead text-justify">The most important thing is the fundamental resolution of the instrument itself
since this will dictate our primary measurements. Stress and strain are not measured directly. Important
assumptions are required ot convert primary measurements to material functions. You can only measure certain
dynamic ranges of torque, displacement and frequencies. You have resolution limits in either of these quantities
you can propagate through to the resolution o fthe viscosity that you can measure.</p>
<ul class="list-group lead text-justify">
<li class="list-group-item">Resolution/range of measured load and displacement</li>
<li class="list-group-item">Instrument inertia (if load and displacement are measured on same boundary)</li>
<li class="list-group-item">Fluid inertia and secondary flows</li>
</ul>
<h4 id="#TC1.4"> 1.4 Neil: "Do you actually need classical rheometry to achieve what you want?"</h3>
<br>
<br>
<br>
<h3 id="TC2"> 2. Proposed System: "The Rheoprinter"</h3>
<h4 id="TC2.1"> 2.1 Nelder-Mead Algorithm</h3>
<br>
<br>
<br>
<hr>
<h3 id="TC3"> 3. Design</h3>
<br>
<br>
<br>
<hr>
<h3 id="TC4"> 4. Rapid Prototyping</h3>
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<h4 id="TC4.1"> 4.1 System Modules</h4>
<br>
<p class="lead text-center"> <b>Module I: Material Head</b></p>
<p class="lead text-justify">For controlling the extrusion rate, I decided to move on with pneumatic extrusion.
The reason about that is that I want to know the exact value of the entrance pressure applied during each
printing condition. By taking the difference of the capillary pressure that I will potentially measure at
the lower part of the syringe barrel using a pressure sensor and the entrance pressure , I am going to be
able to track the pressure difference at the material head during printing . With a little a bit of mathematics,
I will be able to back out the rheological properties of the candidate material inside the extrusion head during
printing. The same task could be realized with mechanical extrusion using a lead-screw-driven syringe pump.
However, getting the entrance pressure would require a load cell, which right now I don't have the time to
learn how to design one.
</p>
<p class="lead text-justify"> Moving on, I configured and bought an <a href="http://www.smcpneumatics.com//ITV1050-31N2CS4.html">
electro-pneumatic pressure regulator</a>, which controls air pressure steplessly in proportion to an
electric signal. Specifically, when the input signal rises. the air supply solenoid valve (1) turns ON.
Due to this, part of the supply pressure passes through the air supply solenoid valve (1) and changes to
output pressure. This output pressure feeds back to the control circuit (4) via the pressure sensor (3).
Here, pressure corrections continue until output pressure becomes proportional to the input signal,
enabling output pressure that is proportional to the input signal.
</p>
<p class="lead text-center">Working Principle Diagram</p>
<img src="images/pneumatic-work-principle-diagram.PNG" class="rounded mx-auto d-block" width="" height="">
<p class="lead text-center">Block Diagram</p>
<img src="images/pneumatic-block-diagram.PNG" class="rounded mx-auto d-block" width="" height="">
<br>
<p class="lead text-justify">In addition to the regulator, I sourced a couple of NPT connectors, tubing and and
a simple valve regulator to control the reference pressure coming from CBA's compressed air supply line.
You can find specs and product numbers for SMC pneumatics from the picture below or the readme file in the
main Gitlab project directory.
</p>
<p class="lead text-center">Pneumatic Assembly for Extrusion Rate Control</p>
<img src="images/pneumatic-connection.PNG" class="rounded mx-auto d-block" width="" height="">
<p class="lead text-justify"> After assembling all the components and making sure that everything fits, I moved on
to wire the regulator. Note that the wiring is model and configuration part number-specific. This has to be done
after reading the manual, which can be found <a href="http://www.smcpneumatics.com/pdfs/ITVop.PDF">HERE</a>.
My regulator belongs to the ITV series models and has the following part number: <b>ITV1050-31N2CS4</b>.
This corresponds to the following <a href="https://goo.gl/hxpiRW">specs</a>:
</p>
<img src="images/pneumatic-reg-specs.PNG" class = "rounded mx-auto d-block" width="80%">
<p class="lead text-justify"> and the wiring directions extracted from teh operation manual are attached below:</p>
<img src="images/pneumatic-wiring-A.PNG" class="rounded mx-auto d-block" width="70%">
<img src="images/pneumatic-wiring-B.PNG" class="rounded mx-auto d-block" width="70%">
<p class="lead text-center">XY - Cartesian Stage Assembly</p>
<p class="lead text-center">XY- Cartesian Stage Control</p>
<p class="lead text-justify" >- created a jig/fixture to mount the motors and test the asynchronous operation for easiness.
- started with BigEasy Driver where I soldered male header pins with spacing ...
- soldered jumper wires (male to female) on the NEMA 17 motor cables
here are some interesting links for building cables with Dupont Headers(we have all the accessories in the inventory):
https://www.youtube.com/watch?v=c-pTsccCizA
https://www.youtube.com/watch?v=qz9Ryos1_GY
https://www.youtube.com/watch?v=N3zK9fzIPBo
https://www.instructables.com/id/Fitting-Dupont-Connectors/
- for cable management i will order sleeves and heat shrink tubes
- downloaded Arduino and configured based on that:
https://startingelectronics.org/software/arduino/installing-arduino-software-windows-10/
- then started running examples and creating simple sketches from here:
http://www.schmalzhaus.com/EasyDriver/Examples/EasyDriverExamples.html
- Example 1:
- Example 2:
- Example 3:
http://www.airspayce.com/mikem/arduino/AccelStepper/
and based on this guide using the manual way of installation in libraries folder under the Documents/Arduino/
http://www.airspayce.com/mikem/arduino/AccelStepper/
Don't forget ot mention why you should the third party libraries there, because during Arduino Installation they might be deleted.
- Example 4
- Example 5
http://bildr.org/2012/11/big-easy-driver-arduino/
Interrupts
Now I would like ot describe something which sounds that it would real simple but it turns out
to be incredibly hard on something like the Arduino. Lets say we wanted to blind LED independently, concurrently
at different rates.
A good example is when we are working with multiple sensors like a GPS, which over time spits out serial data
and if you are over here working on something else and that GPS piles up a bunch of data you are gonna
overflow your buffer and you are going to be reading old stale corrupt incomplete data from teh serial
port. So you need to have something like an interrupt so that every little bit you can ran out and get the data off of the serial
port.
Advanced Software Interrupts for Reading Serial Data
<hr>
<h3 id="TC5"> 5. Test</h3>
<h4 id="TC5.1"> 5.1 Online Rheoprinter Console</h4>
<br>
<br>
<br>
<h4 id="TC5.2"> 5.2 Challenges & Nest Steps</h4>
<p>
<center>
<video width = "700" height = "600" controls loop autoplay>
<source src= "videos/async-motors.mp4" type="video/mp4">
</video>
</center>
</p>
<hr>