commit f6fa38ee14eaa4ce4f719d7bfffec2994579db53
parent ff0bac2fe35ed90fee46f23155d9afa92bce0de1
Author: Vincent Forest <vincent.forest@meso-star.com>
Date: Mon, 4 Dec 2017 11:29:26 +0100
Update the getting stardis sub section
Diffstat:
4 files changed, 38 insertions(+), 23 deletions(-)
diff --git a/.gitattributes b/.gitattributes
@@ -3,6 +3,7 @@ particles.png filter=lfs diff=lfs merge=lfs -text
syrthes.png filter=lfs diff=lfs merge=lfs -text
star-therm.png filter=lfs diff=lfs merge=lfs -text
IGBT.png filter=lfs diff=lfs merge=lfs -text
+foam.png filter=lfs diff=lfs merge=lfs -text
*.png text !filter !merge !diff
*.svg text !filter !merge !diff
*.jpg text !filter !merge !diff
diff --git a/foam.png b/foam.png
Binary files differ.
diff --git a/star-therm.png b/star-therm.png
Binary files differ.
diff --git a/stardis.html.in b/stardis.html.in
@@ -37,13 +37,13 @@ resulting algorithms does not rely on a volume mesh of the system.</p>
<h2>An example of propagator use</h2>
<p>Here is an example of practical use of a propagator (Green function),
-obtained by using the Stardis solver on a basic IGBT (a power semiconductor
+obtained by using the Stardis solver on a basic IGBT (a power semiconductor
device):</p>
<ul>
<li> the object of interest is an IGBT,</li>
<li> in this simple setting, the limit conditions of the system are fully
- defined by the bottom face tempature, and the environment temperature
+ defined by the bottom face tempature, and the environment temperature
(exchange by convection),</li>
<li> the value of interest is the core temperature (semiconductor junction)
in the red-colored region of the IGBT which is also the source of dissipated
@@ -51,9 +51,9 @@ device):</p>
<li> the propagator has been precomputed using the Stardis Monte-Carlo
solver from the 3D description of the model and the materials' properties
(see figure below),</li>
- <li> on request, the propagator is applied to the user-provided temperatures
+ <li> on request, the propagator is applied to the user-provided temperatures
and dissipated power; it acts as a super-fast direct model to compute the
- value of the core temperature together with its statistical uncertainty
+ value of the core temperature together with its statistical uncertainty
(standard error),</li>
<li> as it carries temporal information, the propagator could be used in
transient computations; in this case the input temperatures and dissipated
@@ -69,9 +69,9 @@ device):</p>
<b>A simple IGBT example.</b> Each point represents the end of a "thermal
path", where it reaches a boundary condition. The colour of the points
indicates the duration (in seconds) of the thermal path, that is the time
- it took for heat to escape the system from the source. This example has
+ it took for heat to escape the system from the source. This example has
been developped in collaboration with
- <a href="https://www.epsilon-alcen.com">Epsilon-Alcen</a>.
+ <a href="https://www.epsilon-alcen.com">Epsilon-Alcen</a>.
</div>
</div>
@@ -107,27 +107,41 @@ device):</p>
<h2>Getting Stardis</h2>
-<p>Stardis is not a monolothic software, but <b>a solver which can be
+<p>Stardis is not a monolithic software, but <b>a solver which can be
integrated</b> in various thermal engineering simulation toolchain for
-designing and optimizing.</p>
-
-<p>If you want to get access to Stardis, please contact us. Our commercial
-offers are versatile:</p>
+designing and optimizing. It is available on GNU/Linux and Microsoft Windows 7
+or later. It is licensed under the GPLv3+ license and is thus distributed with
+its source code without additional fees. Refer to the <a
+href="https://www.gnu.org/licenses/gpl.html">license</a> for details. A
+commercial license is also available to users for who the conditions of the
+GPLv3+ are too restrictive.
+
+<p>Stardis is closely developed with the <b>physics laboratories</b> behind its
+theoretical advances. Both physicists and programmers working on and with
+Stardis also do its theoretical and technical support. When you need help,
+you are always going to talk to someone that knows what they are doing.</p>
+
+<p>Our commercial offer is versatile:</p>
<ul>
- <li> we can provide software developpers with a Stardis SDK,</li>
- <li> we can integrate Stardis in any software toolchain,</li>
- <li> we can develop custom software from / on top of Stardis.</li>
+ <li>we provide software developers with a Stardis SDK,</li>
+ <li>we <a href=#syrthes>assist users</a> in integrating Stardis in their workflow,</li>
+ <li>we propose bot theoretical and technical trainings and support,</li>
+ <li>we develop <a href=#optisol>custom software</a> from / on top of
+ Stardis.</li>
</ul>
-<p>Depending on your status (industry or academic) and development constraints
+To get access to Stardis and for more informations on our offer, please <a
+href="mailto:contact@meso-star.com">contact us</a>.
+
+<!--p>Depending on your status (industry or academic) and development constraints
(open or closed source, ...) Stardis can be made available under the adequate
license. Of course, both theoritical and software development training is
proposed on a regular basis as well as on demand to help you master all the
-power of our innovative approach.</p>
+power of our innovative approach.</p-->
<h2>Examples of integration and development</h2>
-<h3> EDF R&D - SYRTHES </h3>
+<h3 id="syrthes"> EDF R&D - SYRTHES </h3>
<div class="img" style="width: 12em">
<a href="syrthes.png">
@@ -151,15 +165,15 @@ of the thermal transfers. The purpose is not to substitude new solvers to the
existing ones, but rather to add <b>some complementary features to help
analysing numerical simulations results</b>.</p>
-<h3> PROMES-CNRS - Star-Therm </h3>
+<h3 id="optisol"> PROMES-CNRS - Star-Therm </h3>
<div class="img" style="width: 12em">
- <a href="star-therm.png">
- <img src="star-therm.png" style="float: relative" alt="Star-Therm">
+ <a href="foam.png">
+ <img src="foam.png" style="float: relative" alt="Foam">
</a>
<div class="caption">
- Star-Therm: A combined conductive–radiative heat transfer solver for
- geometrically complex foams.
+ Star-Therm: a combined conductive–radiative heat transfer solver for
+ geometrically complex foams.
</div>
</div>
@@ -179,7 +193,7 @@ within the solid.</p>
<h2>References</h2>
<p>
-[1] Delatorre et al., <i>Monte Carlo advances and concentrated solar
+[1] Delatorre et al., <i>Monte Carlo advances and concentrated solar
applications</i>, <b>Solar Energy</b>, 2014
</p>
<p>
