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  <channel>
    <title>MaplePrimes - MapleSim 2022 Posts and Questions</title>
    <link>http://www.mapleprimes.com/products/MapleSim/MapleSim 2022</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Tue, 07 Apr 2026 02:27:50 GMT</lastBuildDate>
    <pubDate>Tue, 07 Apr 2026 02:27:50 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>MapleSim 2022 Questions and Posts on MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - MapleSim 2022 Posts and Questions</title>
      <link>http://www.mapleprimes.com/products/MapleSim/MapleSim 2022</link>
    </image>
    <item>
      <title>How do I find inverse kinematics of cable-driven robot arm?</title>
      <link>http://www.mapleprimes.com/questions/237205-How-Do-I-Find-Inverse-Kinematics-Of?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p&gt;Hi, I have a cable driven robot arm consist of three joint and four links driven by cables from three pulleys. Each joint conneted to each pulley by cables independently. When I use inverse kinematic steps in maple I get these messages :&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;MB := zModel:-GetMultibody(&amp;#39;simplify&amp;#39; = true):&lt;br&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;quot;Analyzing system...&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;quot;Performing constraint analysis...&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;quot;The system has 6 degree(s) of freedom. &amp;nbsp;It is modeled using 6&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; &amp;nbsp;generalized coordinate(s) coupled by 0 algebraic constraint(s\&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; ).&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;the problem is that I have six Generalized coordinates (3 joints + 3 pulleys) , I can find the inverse kinamatic of joint angles according to end effector position , the question is:&lt;br&gt;
how can I apply it to pulley&amp;#39;s angle?&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Hi, I have a cable driven robot arm consist of three joint and four links driven by cables from three pulleys. Each joint conneted to each pulley by cables independently. When I use inverse kinematic steps in maple I get these messages :&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;MB := zModel:-GetMultibody(&amp;#39;simplify&amp;#39; = true):&lt;br /&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;quot;Analyzing system...&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;quot;Performing constraint analysis...&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;quot;The system has 6 degree(s) of freedom. &amp;nbsp;It is modeled using 6&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; &amp;nbsp;generalized coordinate(s) coupled by 0 algebraic constraint(s\&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&amp;nbsp; ).&amp;quot;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;the problem is that I have six Generalized coordinates (3 joints + 3 pulleys) , I can find the inverse kinamatic of joint angles according to end effector position , the question is:&lt;br /&gt;
how can I apply it to pulley&amp;#39;s angle?&lt;/p&gt;
</description>
      <guid>237205</guid>
      <pubDate>Fri, 20 Oct 2023 00:36:16 Z</pubDate>
      <itunes:author>yahya121990</itunes:author>
      <author>yahya121990</author>
    </item>
    <item>
      <title>Importing Simulink into maplesim</title>
      <link>http://www.mapleprimes.com/questions/236147-Importing-Simulink-Into-Maplesim?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p&gt;Hey Guys . is it possible to import a Simulink block into maplesim . can some one explain the process . i already found something called &lt;a href="https://www.maplesoft.com/products/blockimporter/index.aspx"&gt;BlockImporter&lt;/a&gt; Add-in. but it&amp;#39;s some old maple addins and it&amp;#39;s not support Windows 10&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Hey Guys . is it possible to import a Simulink block into maplesim . can some one explain the process . i already found something called &lt;a href="https://www.maplesoft.com/products/blockimporter/index.aspx"&gt;BlockImporter&lt;/a&gt; Add-in. but it&amp;#39;s some old maple addins and it&amp;#39;s not support Windows 10&lt;/p&gt;
</description>
      <guid>236147</guid>
      <pubDate>Thu, 13 Apr 2023 19:32:27 Z</pubDate>
      <itunes:author>Reza23</itunes:author>
      <author>Reza23</author>
    </item>
    <item>
      <title>Réalisation complète </title>
      <link>http://www.mapleprimes.com/questions/235651-Ralisation-Complte-?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p&gt;Bonjour, petite question simple que je me pose la MapleSim permet de tout r&amp;eacute;aliser ?&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Bonjour, petite question simple que je me pose la MapleSim permet de tout r&amp;eacute;aliser ?&lt;/p&gt;
</description>
      <guid>235651</guid>
      <pubDate>Thu, 02 Feb 2023 14:42:28 Z</pubDate>
      <itunes:author>Yoann67</itunes:author>
      <author>Yoann67</author>
    </item>
    <item>
      <title>Modeling a falling slinky</title>
      <link>http://www.mapleprimes.com/posts/219190-Modeling-A-Falling-Slinky?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p style="text-align:justify; margin-bottom:11px"&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;&lt;span style="line-height:107%"&gt;A failing slinky is another intriguing physics phenome that can be easily reproduced with MapleSim.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;The bottom of a vertically suspended slinky does not move when the top is released until the slinky is fully collapsed.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="text-align: center;"&gt;&lt;img src="/view.aspx?sf=219190_post/Falling_slinky_03.gif"&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;To model this realistically in MapleSim, it is necessary to&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Establish a stretched equilibrium state at the start of the fall&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;
	&lt;li&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Avoid penetration of windings when windings collapse (i.e. get into contact)&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;The equilibrium state is achieved with the &lt;a href="https://de.maplesoft.com/support/help/maplesim/view.aspx?path=tasks%2fsimulating%2fusingSnapshots"&gt;snapshot &lt;/a&gt;option. Penetration is avoided with the &lt;a href="https://de.maplesoft.com/support/help/MapleSim/view.aspx?path=componentLibrary/1Dmechanics/translational/springsDampers/ElastoGap"&gt;Elasto Gap&lt;/a&gt; component. Details can be found in the attached model.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;A good overview of &amp;ldquo;Slinky research&amp;rdquo; is given &lt;a href="https://www.researchgate.net/publication/230724386_Modeling_a_falling_slinky"&gt;here&lt;/a&gt;. The paper provides a continuous description of the collapse process (&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;using an &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size:16px;"&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt; &lt;span class="fontstyle0"&gt;inhomogenous wave equation combined with contact modeling!!!) &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;and introduces a finite time for the collapse of all windings. Results for a slinky are presented that collapses after 0.27s. The attached model has sufficient fidelity to collapse at the same time.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Real Slinkies also feature a torsional wave that precedes the compression wave and disturbs an ideal collapse. This can be seen on &lt;a href="https://www.youtube.com/watch?v=rCw5JXD18y4"&gt;slowmo footage&lt;/a&gt; and &lt;a href="https://www.youtube.com/watch?v=6oTagvfcUBU"&gt;advanced computer models&lt;/a&gt;. With a torsion spring constant at hand (are there formulas for coil springs?), it could also be modeled with MapleSim. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-size:16px;"&gt;&lt;a href="/view.aspx?sf=219190_post/Falling_slinky.msim"&gt;Falling_slinky.msim&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p style="text-align:justify; margin-bottom:11px"&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;&lt;span style="line-height:107%"&gt;A failing slinky is another intriguing physics phenome that can be easily reproduced with MapleSim.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;The bottom of a vertically suspended slinky does not move when the top is released until the slinky is fully collapsed.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p style="text-align: center;"&gt;&lt;img src="/view.aspx?sf=219190_post/Falling_slinky_03.gif"&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;To model this realistically in MapleSim, it is necessary to&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Establish a stretched equilibrium state at the start of the fall&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;
	&lt;li&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Avoid penetration of windings when windings collapse (i.e. get into contact)&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;The equilibrium state is achieved with the &lt;a href="https://de.maplesoft.com/support/help/maplesim/view.aspx?path=tasks%2fsimulating%2fusingSnapshots"&gt;snapshot &lt;/a&gt;option. Penetration is avoided with the &lt;a href="https://de.maplesoft.com/support/help/MapleSim/view.aspx?path=componentLibrary/1Dmechanics/translational/springsDampers/ElastoGap"&gt;Elasto Gap&lt;/a&gt; component. Details can be found in the attached model.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;A good overview of &amp;ldquo;Slinky research&amp;rdquo; is given &lt;a href="https://www.researchgate.net/publication/230724386_Modeling_a_falling_slinky"&gt;here&lt;/a&gt;. The paper provides a continuous description of the collapse process (&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt;using an &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size:16px;"&gt;&lt;span style="font-family:Arial,Helvetica,sans-serif;"&gt; &lt;span class="fontstyle0"&gt;inhomogenous wave equation combined with contact modeling!!!) &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;and introduces a finite time for the collapse of all windings. Results for a slinky are presented that collapses after 0.27s. The attached model has sufficient fidelity to collapse at the same time.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-family:trebuchet ms,helvetica,sans-serif;"&gt;&lt;span style="font-size:16px;"&gt;Real Slinkies also feature a torsional wave that precedes the compression wave and disturbs an ideal collapse. This can be seen on &lt;a href="https://www.youtube.com/watch?v=rCw5JXD18y4"&gt;slowmo footage&lt;/a&gt; and &lt;a href="https://www.youtube.com/watch?v=6oTagvfcUBU"&gt;advanced computer models&lt;/a&gt;. With a torsion spring constant at hand (are there formulas for coil springs?), it could also be modeled with MapleSim. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style="font-size:16px;"&gt;&lt;a href="/view.aspx?sf=219190_post/Falling_slinky.msim"&gt;Falling_slinky.msim&lt;/a&gt;&lt;/span&gt;&lt;/p&gt;
</description>
      <guid>219190</guid>
      <pubDate>Sat, 26 Nov 2022 11:44:47 Z</pubDate>
      <itunes:author>C_R</itunes:author>
      <author>C_R</author>
    </item>
    <item>
      <title>MapleSim Update 2022.2 Bug?</title>
      <link>http://www.mapleprimes.com/questions/235073-MapleSim-Update-20222-Bug?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p&gt;Hello,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;does the update of MapleSim 2022.2 have a bug when loading the own libraries?&amp;nbsp;&lt;br&gt;
After installing the MapleSim 2022.2 update, my libraries have disappeared. I am unable to load them again. The libraries are still in the same folder as before, but when I try to load them, I get the error message&lt;/p&gt;

&lt;p&gt;&lt;img 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" 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" style="margin-left: 5px; margin-right: 5px; height: 100px; width: 216px;"&gt;&lt;/p&gt;

&lt;p&gt;However, the library NoiseX is not listed in the left bar.&amp;nbsp;Even when I try to create a new library, it is not shown in the left bar.&amp;nbsp;On the other hand, there are no problems with the imported libraries. Many thanks in advance for any advice.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Best wishes,&lt;/p&gt;

&lt;p&gt;Clemens&amp;nbsp;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Hello,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;does the update of MapleSim 2022.2 have a bug when loading the own libraries?&amp;nbsp;&lt;br /&gt;
After installing the MapleSim 2022.2 update, my libraries have disappeared. I am unable to load them again. The libraries are still in the same folder as before, but when I try to load them, I get the error message&lt;/p&gt;

&lt;p&gt;&lt;img 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" 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" style="margin-left: 5px; margin-right: 5px; height: 100px; width: 216px;" /&gt;&lt;/p&gt;

&lt;p&gt;However, the library NoiseX is not listed in the left bar.&amp;nbsp;Even when I try to create a new library, it is not shown in the left bar.&amp;nbsp;On the other hand, there are no problems with the imported libraries. Many thanks in advance for any advice.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Best wishes,&lt;/p&gt;

&lt;p&gt;Clemens&amp;nbsp;&lt;/p&gt;
</description>
      <guid>235073</guid>
      <pubDate>Sat, 29 Oct 2022 19:16:20 Z</pubDate>
    </item>
    <item>
      <title>Import CAD closes MapleSim 2022.2</title>
      <link>http://www.mapleprimes.com/questions/235066-Import-CAD-Closes-MapleSim-20222?ref=Feed:MaplePrimes:Version MapleSim 2022</link>
      <itunes:summary>&lt;p&gt;Anybody find Import CAD closes MapleSim 2022.2 when just opening file chooser when attempting to import CAD file?&lt;/p&gt;

&lt;p&gt;Regards,&lt;br&gt;
Bill&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Anybody find Import CAD closes MapleSim 2022.2 when just opening file chooser when attempting to import CAD file?&lt;/p&gt;

&lt;p&gt;Regards,&lt;br /&gt;
Bill&lt;/p&gt;
</description>
      <guid>235066</guid>
      <pubDate>Fri, 28 Oct 2022 20:57:47 Z</pubDate>
      <itunes:author>wswain</itunes:author>
      <author>wswain</author>
    </item>
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