This document provides instructions for setting up mesh generation in FreeCAD for use with OpenFOAM simulations. It describes installing and configuring DEXCS2014, an integrated environment for OpenFOAM and FreeCAD, on an Ubuntu 14.04 system. The document then outlines lessons on using FreeCAD and DEXCS2014 to generate meshes for various geometries and export them for use in OpenFOAM simulations.
The document discusses freeCAD software for 3D CAD modeling. It describes how to install freeCAD and provides examples of Python scripts for freeCAD like creating basic shapes (line, circle, cube, cylinder) and more complex scripts for operations like fusion and cutting of objects. It also mentions how to show created objects in a drawing sheet.
Beyond Parametric - New Approach to Geometric Constraint SolvingNick Sidorenko
PARAMETRIC:
Approach to solid modeling initiated by PTC in the middle of 80s and
implemented in Pro/ENGINEER (now renamed to Creo Parametric).
After a decade of triumph of this approach all leading CAD vendors
implemented this approach in their products:
Autodesk – in AutoCAD and Inventor;
Dassault – in CATIA and SolidWorks;
Siemens PLM – in NX and SolidEdge.
Nowadays it became de facto standard of solid modeling.
Beyond PARAMETRIC:
New approach to solid modeling initiated by Cloud Invent based on
it’s proprietary Cheetah geometric constraint solver. It can not only
dramatically improve productivity (being implemented in existing CAD
applications), but it opens a way to real unification of parametric
and direct solid modeling (being implemented as a 3D sketcher, which
provides in 3D space both convenience of explicit modeling and flexibility
of parametric modeling).
This is to be a NEW CAD REVOLUTION.
This document provides an introduction to LaTeX for Word users. It summarizes what LaTeX is, the benefits of using LaTeX over Word, how to produce a simple LaTeX document, and how to install LaTeX on Windows. The presentation includes slides on document structure in LaTeX and common file types.
Introduction to FreeCAD - steps people through the process of creating a replacement lamp part using constructive solid geometry. Workshop held at the edge -- http://edgeqld.org.au/
There are various methods for solid modeling including Constructive Solid Geometry (CSG), sweep representation, octrees, boundary representations (B-reps), and primitive instancing. CSG involves using set operations like union, intersection, and difference on primitive solids to construct more complex objects. B-reps define objects by their surface boundaries using vertices, edges, and faces. Octrees and sweep representations also allow for modeling 3D solids.
This document discusses several LaTeX packages for creating framed boxes in articles and books, including framed, fancybox, mdframed, and bclogo. It provides examples of using each package and notes that mdframed allows frames to continue across pages while bclogo offers customizable options like rounded corners, backgrounds, and logos. The document aims to help users emphasize important information outside of Beamer slides by introducing alternatives to its block environments.
This document provides instructions for setting up mesh generation in FreeCAD for use with OpenFOAM simulations. It describes installing and configuring DEXCS2014, an integrated environment for OpenFOAM and FreeCAD, on an Ubuntu 14.04 system. The document then outlines lessons on using FreeCAD and DEXCS2014 to generate meshes for various geometries and export them for use in OpenFOAM simulations.
The document discusses freeCAD software for 3D CAD modeling. It describes how to install freeCAD and provides examples of Python scripts for freeCAD like creating basic shapes (line, circle, cube, cylinder) and more complex scripts for operations like fusion and cutting of objects. It also mentions how to show created objects in a drawing sheet.
Beyond Parametric - New Approach to Geometric Constraint SolvingNick Sidorenko
PARAMETRIC:
Approach to solid modeling initiated by PTC in the middle of 80s and
implemented in Pro/ENGINEER (now renamed to Creo Parametric).
After a decade of triumph of this approach all leading CAD vendors
implemented this approach in their products:
Autodesk – in AutoCAD and Inventor;
Dassault – in CATIA and SolidWorks;
Siemens PLM – in NX and SolidEdge.
Nowadays it became de facto standard of solid modeling.
Beyond PARAMETRIC:
New approach to solid modeling initiated by Cloud Invent based on
it’s proprietary Cheetah geometric constraint solver. It can not only
dramatically improve productivity (being implemented in existing CAD
applications), but it opens a way to real unification of parametric
and direct solid modeling (being implemented as a 3D sketcher, which
provides in 3D space both convenience of explicit modeling and flexibility
of parametric modeling).
This is to be a NEW CAD REVOLUTION.
This document provides an introduction to LaTeX for Word users. It summarizes what LaTeX is, the benefits of using LaTeX over Word, how to produce a simple LaTeX document, and how to install LaTeX on Windows. The presentation includes slides on document structure in LaTeX and common file types.
Introduction to FreeCAD - steps people through the process of creating a replacement lamp part using constructive solid geometry. Workshop held at the edge -- http://edgeqld.org.au/
There are various methods for solid modeling including Constructive Solid Geometry (CSG), sweep representation, octrees, boundary representations (B-reps), and primitive instancing. CSG involves using set operations like union, intersection, and difference on primitive solids to construct more complex objects. B-reps define objects by their surface boundaries using vertices, edges, and faces. Octrees and sweep representations also allow for modeling 3D solids.
This document discusses several LaTeX packages for creating framed boxes in articles and books, including framed, fancybox, mdframed, and bclogo. It provides examples of using each package and notes that mdframed allows frames to continue across pages while bclogo offers customizable options like rounded corners, backgrounds, and logos. The document aims to help users emphasize important information outside of Beamer slides by introducing alternatives to its block environments.
The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
This document discusses robotics research being conducted at the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists three references used in their research - a 2014 paper on robot control in the IHI Engineering Review journal, a 2009 paper on robot motion planning in the IEEE Transactions on Robotics journal, and the use of MoveIt! and Blender software for robotics projects. The document provides brief information about the Robotics Laboratory and references used to support their work.
This document provides instructions for installing and building the Point Cloud Library (PCL) on an Ubuntu system. It outlines downloading dependencies using apt-get, adding a PCL PPA repository, cloning the PCL GitHub repository, and running cmake and make to build and install PCL. The document also lists some related topics like PostgreSQL, Kinect, deep learning frameworks, robot simulators, and motion planning software that can be used with PCL.
The document describes the various software tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists Ubuntu 16.04 LTS, PCL 1.8, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Protege 5.1.0, Apache 2.4.18, PostgreSQL 9.5.5, Webmin 1.820, and Tomcat 8.5.9 as some of the key software packages. It also provides brief descriptions and instructions for tools like VLC, Kinect, PCL, Jetson TK1, ROS Turtle Sim, MORSE,
The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
The document discusses setting up and configuring Webmin and Tomcat on a server. It provides instructions for installing Webmin and configuring its settings to allow access from localhost. It also provides instructions for installing Java, downloading and extracting Tomcat, creating a Tomcat user, and starting Tomcat so it can be accessed from localhost.
The document discusses setting up Apache web server and PostgreSQL database on a server. It provides commands to install and configure Apache to use a server name and set index files. It also provides commands to install and configure PostgreSQL, create a database and user, insert and query data from a table, then remove the table and database. The last page lists other technologies that could also be set up which include UIMA, MySQL and webmini.
This document discusses software and tools used in a robotics laboratory, including ROS, MORSE simulator, Blender, Python, and Protege ontology software. It also outlines concepts in ontologies like instances, subclasses, parts, and roles. Finally, it mentions Apache UIMA and webmini frameworks.
The document discusses a robotics laboratory at Wakayama University Graduate School of System Engineering. It lists the software used in the laboratory, including Ubuntu 16.04 LTS, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Pyenv, Anaconda 4.1.1, and Protege 5.1.0. It also mentions using the MORSE Simulator kitchen environment with a PR2 robot and the Protege Ontology tool.
This document provides information about software tools used in a robotics laboratory, including the MORSE simulator, ROS, Blender, Python, and the Protege ontology editor. It describes how to set up and configure these tools, edit simulation scenarios in MORSE, troubleshoot ROS package paths in Python, and access example ontologies in Protege. Setup instructions are provided for Ubuntu, ROS Kinetic, Blender, Python, and downloading and running Protege.
This document discusses setting up an environment for using MORSE simulator with ROS. It describes installing Ubuntu 16.04 LTS, MORSE simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2. It also discusses checking the environment setup, editing MORSE ROS tutorial scripts in Blender, resolving import errors for rospy by modifying the Python path, and finding the rospy package location.
This document provides an overview of the software and tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the use of 3 Kinect sensors, CNN, TensorFlow, Caffe and other deep learning tools. It also lists the software installed including Ubuntu 16.04, ROS Kinetic, Blender 2.76, Python 2.7 and 3.5, Pyenv, Anaconda and the MORSE simulator for developing and testing robotics applications.
The document describes the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the various software and tools used, including ROS, MORSE simulator, Blender, and Python. It provides instructions for setting up and using ROS, MORSE simulator, and controlling robots in a simulated environment using Python scripts.
This document discusses robotics research being conducted at the Robotics Laboratory of Wakayama University Graduate School of System Engineering. The laboratory is using a Leap Motion, Kinect, robot hand, and JETSON TK1 with soracom internet access to conduct research. References are provided relating to robot service initiatives, grasping techniques, and object discovery in 3D scenes via shape analysis.
The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
This document discusses robotics research being conducted at the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists three references used in their research - a 2014 paper on robot control in the IHI Engineering Review journal, a 2009 paper on robot motion planning in the IEEE Transactions on Robotics journal, and the use of MoveIt! and Blender software for robotics projects. The document provides brief information about the Robotics Laboratory and references used to support their work.
This document provides instructions for installing and building the Point Cloud Library (PCL) on an Ubuntu system. It outlines downloading dependencies using apt-get, adding a PCL PPA repository, cloning the PCL GitHub repository, and running cmake and make to build and install PCL. The document also lists some related topics like PostgreSQL, Kinect, deep learning frameworks, robot simulators, and motion planning software that can be used with PCL.
The document describes the various software tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists Ubuntu 16.04 LTS, PCL 1.8, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Protege 5.1.0, Apache 2.4.18, PostgreSQL 9.5.5, Webmin 1.820, and Tomcat 8.5.9 as some of the key software packages. It also provides brief descriptions and instructions for tools like VLC, Kinect, PCL, Jetson TK1, ROS Turtle Sim, MORSE,
The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
The document discusses setting up and configuring Webmin and Tomcat on a server. It provides instructions for installing Webmin and configuring its settings to allow access from localhost. It also provides instructions for installing Java, downloading and extracting Tomcat, creating a Tomcat user, and starting Tomcat so it can be accessed from localhost.
The document discusses setting up Apache web server and PostgreSQL database on a server. It provides commands to install and configure Apache to use a server name and set index files. It also provides commands to install and configure PostgreSQL, create a database and user, insert and query data from a table, then remove the table and database. The last page lists other technologies that could also be set up which include UIMA, MySQL and webmini.
This document discusses software and tools used in a robotics laboratory, including ROS, MORSE simulator, Blender, Python, and Protege ontology software. It also outlines concepts in ontologies like instances, subclasses, parts, and roles. Finally, it mentions Apache UIMA and webmini frameworks.
The document discusses a robotics laboratory at Wakayama University Graduate School of System Engineering. It lists the software used in the laboratory, including Ubuntu 16.04 LTS, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Pyenv, Anaconda 4.1.1, and Protege 5.1.0. It also mentions using the MORSE Simulator kitchen environment with a PR2 robot and the Protege Ontology tool.
This document provides information about software tools used in a robotics laboratory, including the MORSE simulator, ROS, Blender, Python, and the Protege ontology editor. It describes how to set up and configure these tools, edit simulation scenarios in MORSE, troubleshoot ROS package paths in Python, and access example ontologies in Protege. Setup instructions are provided for Ubuntu, ROS Kinetic, Blender, Python, and downloading and running Protege.
This document discusses setting up an environment for using MORSE simulator with ROS. It describes installing Ubuntu 16.04 LTS, MORSE simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2. It also discusses checking the environment setup, editing MORSE ROS tutorial scripts in Blender, resolving import errors for rospy by modifying the Python path, and finding the rospy package location.
This document provides an overview of the software and tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the use of 3 Kinect sensors, CNN, TensorFlow, Caffe and other deep learning tools. It also lists the software installed including Ubuntu 16.04, ROS Kinetic, Blender 2.76, Python 2.7 and 3.5, Pyenv, Anaconda and the MORSE simulator for developing and testing robotics applications.
The document describes the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the various software and tools used, including ROS, MORSE simulator, Blender, and Python. It provides instructions for setting up and using ROS, MORSE simulator, and controlling robots in a simulated environment using Python scripts.
This document discusses robotics research being conducted at the Robotics Laboratory of Wakayama University Graduate School of System Engineering. The laboratory is using a Leap Motion, Kinect, robot hand, and JETSON TK1 with soracom internet access to conduct research. References are provided relating to robot service initiatives, grasping techniques, and object discovery in 3D scenes via shape analysis.