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.
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/
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/
This is FreeCAD, a parametric 3D modeler open source made to design objects of any size.
FreeCAD features:
- Complete CASCADE Technology providing 3D operations on complex shape types, and supporting techniques like brep, nurbs curves and surfaces, a wide range of geometric entities, boolean operations and fillets, and built-in support of STEP and IGES formats
- Parametric model so that object are based on properties or even depend on other objects.
- Modifications are recalculated on demand.
- Modular architecture with multiple plugins.
- Import/export using the formats IFC , OBJ, IGES, STL, DXF, SVG, STEP, STL, DAE OFF, NASTRAN, VRML in addition to FreeCAD's native Fcstd file format.
- A Sketcher with constraint-solver to draw 2D shapes.
- Robot simulation module that provides ways to analyse robot movements.
- Drawing sheets module that permit to put 2D views of your 3D models on a sheet.
- A Rendering module to export 3D objects for rendering with external applications.
- BIM-like workflow, with IFC compatibility.
- Graphical creation of planar geometry like wires, lines, rectangles, circles or arcs in any plane of the 3D space.
- Modeling with straight or revolution extrusions, fillets and sections.
- Topological components like edges, vertices, wires and planes.
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
Fluid and heat flows and transmit in a wide variety of products from valves, medical device with blood flow, electronic components and much more. For these products submitted to gas or liquid flow, the understanding of this flow and the often the transferred heat is crucial for a proper product dimensioning and an accurate answer to the technical requests.
But, historically, Computational Fluid Dynamics Simulation has only been used by very few product engineers, mainly by CFD specialist for product validation only.
The objective of this presentation is to present a unique CFD engineering tool, SOLIDWORKS Flow Simulation, made by engineers for Product Engineers. Discover today why SOLIDWORKS Flow Simulation is the unique SOLIDWORKS embedded CFD simulation tool which enable all SOLIDWORKSuser to get the technical insight they need while designing their products and not only at the end of the Product Development cycle.
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
Grand Challenges of Advanced Computing for Energy InnovationMahesh Kailasam
Engineering simulation plays a key role in addressing energy challenges, but a lot more can be done using probabilistic methods and lifecycle management techniques
This is FreeCAD, a parametric 3D modeler open source made to design objects of any size.
FreeCAD features:
- Complete CASCADE Technology providing 3D operations on complex shape types, and supporting techniques like brep, nurbs curves and surfaces, a wide range of geometric entities, boolean operations and fillets, and built-in support of STEP and IGES formats
- Parametric model so that object are based on properties or even depend on other objects.
- Modifications are recalculated on demand.
- Modular architecture with multiple plugins.
- Import/export using the formats IFC , OBJ, IGES, STL, DXF, SVG, STEP, STL, DAE OFF, NASTRAN, VRML in addition to FreeCAD's native Fcstd file format.
- A Sketcher with constraint-solver to draw 2D shapes.
- Robot simulation module that provides ways to analyse robot movements.
- Drawing sheets module that permit to put 2D views of your 3D models on a sheet.
- A Rendering module to export 3D objects for rendering with external applications.
- BIM-like workflow, with IFC compatibility.
- Graphical creation of planar geometry like wires, lines, rectangles, circles or arcs in any plane of the 3D space.
- Modeling with straight or revolution extrusions, fillets and sections.
- Topological components like edges, vertices, wires and planes.
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
Fluid and heat flows and transmit in a wide variety of products from valves, medical device with blood flow, electronic components and much more. For these products submitted to gas or liquid flow, the understanding of this flow and the often the transferred heat is crucial for a proper product dimensioning and an accurate answer to the technical requests.
But, historically, Computational Fluid Dynamics Simulation has only been used by very few product engineers, mainly by CFD specialist for product validation only.
The objective of this presentation is to present a unique CFD engineering tool, SOLIDWORKS Flow Simulation, made by engineers for Product Engineers. Discover today why SOLIDWORKS Flow Simulation is the unique SOLIDWORKS embedded CFD simulation tool which enable all SOLIDWORKSuser to get the technical insight they need while designing their products and not only at the end of the Product Development cycle.
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
Grand Challenges of Advanced Computing for Energy InnovationMahesh Kailasam
Engineering simulation plays a key role in addressing energy challenges, but a lot more can be done using probabilistic methods and lifecycle management techniques
What they did not teach you in engineering school about 3D Pressure Drop anal...Delphine Genouvrier
Computational Fluid Dynamics (CFD) analysis is no longer a discipline reserved only for highly trained practitioners. A new class of CFD analysis software known as “Concurrent CFD” is proving to be greatly effective at performing pressure drop analysis, enabling mechanical engineers to accelerate key decisions at their workstations.
As 3D technology continues its rapid, game-changing, and
exciting evolution, you need a trusted partner to help you
navigate the products and potential of the 3D world. Javelin
is that partner, because we care as much about advancing
your business as you do.
Since 1997, Javelin’s 3D experts have inspired and enabled thousands of companies with solutions for design, data management, and 3D printing. No matter the size of your business, we can propel your organization to new heights.
Enterprise Architecture in Practice: from Datastore to APIs and AppsWSO2
Connecting data repositories with applications, building APIs and loosely coupled integration architectures, are crucial for an organisation to be competitive. However, this is more easily said than done. Senaka explained how WSO2 helped large companies in UK and Europe build such infrastructure, discussing pros and cons of their approaches.
Optimization: from mathematical tools to real applicationsPhilippe Laborie
The existence of powerful mathematical optimization engines is a necessary but not a sufficient condition for the pervasion of optimization technologies in the real world. This seminar, presented in 2013, explores some of the challenges related with the development of optimization applications as well as some general guidelines to avoid common pitfalls. It is illustrated with IBM ILOG optimization technologies and solutions.
Introduces the characteristics of clouds and discusses the challenges that these pose for engineering scientific applications on the cloud. Key challenges are programming models, developing PaaS interfaces for high performance/high throughput computing and developing an SDE for cloud programmng.
EVOLVING QUANTUM COMPUTERS: Harnessing a Vast Hidden Reality J On The Beach
At key points in human history, civilization took a leap forward because people discovered new ways of harnessing nature. Quantum computers, by harnessing an immense, usually hidden reality, promise unimaginable computing power if realized at scale … dramatically impacting our ability to solve the complex problems our civilization urgently needs to solve.
D-Wave Systems has been rapidly evolving commercial quantum computing systems .. (being explored by Google, NASA, Lockheed, USC, Los Alamos and others) that are showing signs of being at a “tipping point” .. matching state of the art solvers for some problems and sometimes dramatically exceeding them… portending the exciting possibility that in just a few short years D-Wave processors could exceed the capabilities of any existing or foreseeable classical computers in the areas of machine learning, AI and optimization.
This lecture will describe the basic ideas behind quantum computation , Dwave’s unique approach, , the current status and future development of D-Wave’s processors and how future quantum computers could be used to solve our most pressing problems.
Rheomold Engineering Solutions India Capabilities PresentationASHUTOSH SONAWANE
This is Our new capabilities Presentation.RHEOMOLD,ISO 9001 Certified One stop CAD,CAE as well Process simulations services provider Company. Please go through it in details , if you have any queries please drop me a mail at ashutosh@rheomold.com, we will shortly clarify it.
SOLIDWORKS SIMULATION Is a complete solution for your design analysis.SolidWorks Simulation helps to avoid actual proto typing and saves cost and design rework.
Similar to Beyond Parametric - New Approach to Geometric Constraint Solving (20)
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
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How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Gopinath Rebala
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Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
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https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Paper: https://eprint.iacr.org/2023/1886
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
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3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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UiPath integration with generative AI
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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.
The main hero of this story is the Cheetah solver of Cloud Invent. This presentation point out its position on the landscape of the nowadays CAD and indicates its potential for the future of the CAD industry.
Initially PTC was called SPG Consulting Corporation, later renamed to Parametric.Some aspects of the fundamental ideas behind what eventually became Pro/ENGINEER were already being implemented by Matra Datavision, Intergraph and others. What separated PTC from these other vendors was the overall completeness of Pro/ENGINEER as a solid modeling application.Dr. Samuel P. Geisberg was born in Leningrad, USSR (now St. Petersburg, Russia) in 1936. Geisberg earned a Ph.D. in mathematics and became a professor of mathematics at Leningrad State University.
One of the guiding principles of the PTC approach to CAD was that Pro/ENGINEER has to be implemented as a solid-modeling system (at that time it was cool). This solid-based approach of PTC was established on the following two main closely related technologies: • Parametric 2D sketching (also known as dimension-driven sketching) • Feature-based solid modeling (also referred as history-based solid modeling) In the approach of PTC to create a 3D solid model user typically starts with creating 2D profile of the object (in other words, 2D section or 2D sketch). This 2D sketch could be then converted into a solid model by translating it through space on a given distance (this is done using the extrude tool), or revolving it around a center line (using revolve tool), or using some other operation of this kind.Part is a solid model that contains at least one feature (but it can contain more features). Further features could be added to the part in the same way as the first feature was created – by selecting some 2D section, creating some 2D sketch there, and applying, for instance, extrusion.
The 2D CAD in the epoch preceding the Parametric Revolution was coordinate-driven (contrarily to the dimension-driven CAD of the parametric epoch). It means that while operator was creating points and lines in 2D sketch the software recorded the coordinates of all end points in the drawing. Parametric Revolution freed designers from bothering about coordinates. The adepts of parametric approach claimed that engineers are not thinking in terms of coordinates. They are thinking in terms of geometric constrains and dimensions (linear dimensions and angles). This is exactly what was provided to a user by Pro/ENGINEER. In the Sketcher of Pro/ENGINEER operator never works with coordinates of points. He/she draw points, lines, curves, set dimensions between different geometric entities, and set geometric constraints (like parallel, perpendicular, or tangent constraints). The software itself writes equations from these constraints. In these equations coordinates of points are the unknowns (but these coordinates are always hidden), the dimensions are the parameters of equations that define the solution (that’s why this approach is also called “dimension-driven”). With parametric approach, when you change some dimension, you don’t need to change manually anything in the section. The system automatically regenerates the section (i.e. solves corresponding system of equations with new dimension parameters) and recalculate coordinates of all points.
First Solver writes equations (non-linear in general). The unknowns in these equations are the coordinates of points corresponding to different entities (and also radiuses, angles, etc.). The equations are received from user defined constraints (like “perpendicular”, “tangent”, “equal”, etc.), constraints from geometry (when, for instance, the ends of some line segments are coincide), and also from a lot of “weak dimensions” (created by Autodim ).Next Prune starts its work. Prune is the part of the code that inspects equations one by one and throw away equations that contradict with the equations that were already accepted.When the Prune work is finished and Solver collected 𝑛 independent equations with 𝑛 unknowns, it solves this system of equations.Typical Solver uses Newton method to solve this system of equations. To solve the system Solver receives some initial guess (usually it is the solution of the previously resolved section), then in the point of this initial guess it linearizes the system, and this linear system is solved using some standard method of linear algebra.If the initial system was non-linear (this is typically the case), then the computed solution is used as the initial guess for the next step of the Newton iterations. On this next step our non-linear system is again linearized in this new point of approximation, and the new linear system is solved. Newton iterations are finished when residuals became small enough.First Solver writes equations (non-linear in general). The unknowns in these equations are the coordinates of points corresponding to different entities (and also radiuses, angles, etc.). The equations are received from user defined constraints (like “perpendicular”, “tangent”, “equal”, etc.), constraints from geometry (when, for instance, the ends of some line segments are coincide), and also from a lot of “weak dimensions”, created by Autodim .Next Prune starts its work. Prune is the part of the code that inspects equations one by one and throw away equations that contradict with the equations that were already accepted.When the Prune work is finished and Solver collected 𝑛 independent equations with 𝑛 unknowns, it solves this system of equations.The Solver uses Newton method to solve this system of equations. To solve the system Solver receives some initial guess (usually it is the solution of the previously resolved section), then in the point of this initial guess it linearizes the system, and this linear system is solved using some standard method of linear algebra.If the initial system was non-linear (this is typically the case), then the computed solution is used as the initial guess for the next step of the Newton iterations. On this next step our non-linear system is again linearized in this new point of approximation, and the new linear system is solved. Newton iterations are finished when residuals became small enough.
Standard solvers are not able to solve really big systems of equations and non-stable even when these systems are not so complicated (having about thousand of variables).And now imagine what might be the difference were we have a method that requires only 𝑂(𝑛) amount of memory and solves the system in 𝑂(𝑛) arithmetic operations (compare it with 𝑂(𝑛2) amount of memory and 𝑂(𝑛3) arithmetic operations required for standard matrix methods). It would open the way for resolving really huge sections (i.e. sections with hundreds of thousands of entities), and to implement truly 3D Sketcher.But all this is an unrealizable dream for the solver of PTC. From its early years Pro/ENGINEER experienced difficulties with complex parts and sections. Now, after more than 20 years, the situation is practically the same – not because developers of PTC are lazy, but because the current approach to solver leaves no chances to improve the situation with performance.The situation with competitors of PTC is not better. None of the leaders of the CAD industry could manipulate with really big sections and really complex parts and assemblies. It seems to me that none of them could imagine that algebraic systems, resulted from geometric constraints, might be solved using 𝑂(𝑛) of memory and 𝑂(𝑛) arithmetic operations. Standard solvers are not able to solve really big systems of equations and non-stable even when these systems are not so complicated (having about thousand of variables).And now imagine what might be the difference were we have a method that requires only 𝑂(𝑛) amount of memory and solves the system in 𝑂(𝑛) arithmetic operations (compare it with 𝑂(𝑛^2) amount of memory and 𝑂(𝑛^3) arithmetic operations required for standard matrix methods). It would open the way for resolving really huge sections (i.e. sections with hundreds of thousands of entities), and to the work with truly 3D Sketcher.But all this is an unrealizable dream for the Solver of PTC. From its early years Pro/ENGINEER experienced difficulties with complex parts and sections. Now, after more than 20 years, the situation is practically the same – not because developers of PTC are lazy, but because the current approach to Solver leaves no chances to improve the situation with performance.The situation with competitors of PTC is not better. None of the leaders of the CAD industry could manipulate with really big sections and really complex parts and assemblies. It seems to me that none of them could imagine that algebraic systems, resulted from geometric constraints, might be solved using 𝑂(𝑛) of memory and 𝑂(𝑛) arithmetic operations.
Characteristic feature of geometric constraint systems of equations is that after linearization they have very sparse matrix. Solvers of the leading CAD vendors don’t utilize this evidence. Cheetah solver not only fully exploits this important information, but makes use of some other specific features of geometric constraint systems as well. Mathematical methods implemented in Cheetah solver seems to be not applied to geometric constraint problems previously.
Meanwhile we are using beta version 0.12 of FreeCAD as the last (for the end of 2011) stable release of this parametric modeler. We implemented our Cheetah solver in the Sketcher of FreeCAD (instead of their solver). This opens for us a way to test our Cheetah solver in different complicated situations.Cheetah solver is not a ready to use software yet. It is on the way of research and development, but the main roadmap is already clear…
This slide contains four video demonstrations (screen-shots from Creo Parametric and FreeCAD with Cheetah inside). Demo 1 consists of Video 1 and Video 2.Demo 2 consists of Video 3 and Video 4.Video 1 and Video 3demonstrate how solver of Creo Parametric (former Pro/ENGINEER) works. Video 2 and Video 4 demonstrate the work of Cheetah solver inside FreeCAD application.Both in Demo 1 and Demo 2 we use mirror operation to obtain a sequence of more and more complicated sketches until we achieve a sketch that is not resolvable by the solver of Creo Parametric. After that we repeat the same sequence of operations with Cheetah solver implemented in the sketcher of FreeCAD application.Comparing Video 1 and Video 2 from Demo 1 (consequently, Video 3 and Video 4 from Demo 2) we can see a vivid difference between the solver of Creo Parametric of PTC and our Cheetah solver.Instead of the solver of PTC we can compare Cheetah with a solver of any other commercial CAD application – the result will be similar.
The left two charts demonstrate the growth of calculation complexity (upper chart) and growth of memory requirements (down chart) with the growth of number of entities in the sketches of Demo 1 (Video 1 and Video 2 on the previous slide). The orange bar chart corresponds to the solver of PTC, the blue bar chart corresponds to Cheetah solver (it is practically invisible because both time and memory requirements are very low comparing to those of solver of PTC).The left two charts present the similar information for Demo 2 (Video 3 and Video 4 on the previous slide).
It is clear to everybody in the CAD community that the industry after a decade of incremental improvements is waiting for some big ground-breaking technologies to come. During the last very years main CAD vendors are started to introduce slowly some solutions. Some of the companies even declared (may be, without real foundation behind these declarations) that they revolutionaries the CAD industry. In April, 2008 Siemens PLM introduced their Synchronous Technology (certainly, as a “revolutionary” technology that changes solid modeling). They have been working on ST for several years (now ST 4 is already presented) and they really moved some steps forward to the unification of the direct modeling and parametric approaches to solid modeling. But still it is not that revolutionary Great Unification the CAD community is looking for. ST approach (and similar technologies of Autodesk and PTC) preserves behind the scene the same history tree of features as well as the direct-modeling presentation of a solid object. What they managed to do is to “synchronize” the changes in these two models (whether you are doing changes using direct modeling tools, or you are using parametric tools). This is a nice trick but still this is a compromise (preserving all the problems of the feature-based approach), not a real revolution. What is the verse thing with the technologies similar to ST is that this trick is rather restricted – only some local modifications of solid models are possible with such an approach.