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  • Manufacturing Simulation

    • June 6, 2014

      In a ground-breaking multinational collaboration, ac&e have completed the first phase of a €160,000 robotics software contract with global engineering fabrication and erection company CIMTAS.

      ac&e’s powerful StruCIM® robotics software is the key to the collaboration with REIS Robotics of Germany and drives the REIS robot oxy-acetylene cutting system. This has enabled CIMTAS to fully automate its structural steel beam and plate cutting for fabrication of the 2.7 km Izmit Bay Bridge, Turkey.

      The synergy of robotics software and hardware has provided CIMTAS with an outstanding package of benefits including:

      • Increased throughput of 50%

      • Automated loading and cutting of stock work pieces

      • Reduced scrap and reduced rework

      The StruCIM® cutting environment in tandem with REIS robots adds a significant automation capability to the CIMTAS operations. Of particular importance is the automatic development of workcell tool instruction from CAD models.  The increased throughput will result in significant savings for CIMTAS over the period of the project, with a return on investment of approximately nine months.

      Due to the success of the project, ac&e have now provided a new robotics cell for cutting complex pipe profiles for offshore engineering and welding plates as part of the bridge project.

      For more information visit our StruCIM page, email info@acel.co.uk or call +44 (0)1925 606400

    • July 8, 2012

      Automotive manufacturer, DaimlerChrysler is using Cmmsimulator, the 3D coordinate measurement machine (CMM) simulation program, to verify programs for tactile CMMs at its Mercedes Technology Centre (MTC) in Sindelfingen, Germany.

      DaimlerChrysler case study


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    Design Engineering Simulation

    • July 17, 2014

      This blog post was original written by Earl Duque on the Intelligent Light website: Intelligent Light R&D continues to produce new tools for large scale CFD Parametric Studies. EPISODE is a new large scale data management tool that enables an engineer to readily extract knowledge and insight from their large scale physics based simulations and experimental data.

      EPISODE provides tools that enable the user to create a relevant subset of their solution results via in-situ data extraction at regions of interest, further reducing the size of that data via proper orthogonal decomposition (POD), and then sort the parametric space of both the input and output solver parameters using self organizing maps (SOMs).

      This project consists of new data extracts and compression methods based upon POD and image compression methods such as JPEG. In addition, we’re developing a new UI based upon self organizing maps which will automatically sort a large number of simulations based upon the parametric inputs and outputs. The result is a set of colored maps that helps to determine the trends in the data. The user will be able to click on different areas of the map which will then display the results in FieldView. The results may be directly from the CFD solver, reconstructed from the POD or it may be computed from a reduced order model (ROM) that was derived from the CFD and POD results.

      The EPISODE project will address limitations of current data analysis tools by:

      • Performing data management and post-processing in-situ, without writing to storage and without direct engineer interaction.
      • Maintaining ability to support high-frequency information for maximum temporal fidelity.
      • Handling both experimental and computational data together, supporting automated batch processing.
      • Delivering post-processing capabilities to rapidly collect engineering information such as mass flows through a passage, FFTs, etc.

      Key project collaborators include:
      Robert Haimes from MIT – Haimes’ expertise will support the development of a scalable data extracts architecture and plug-in components.
      Prof. Steven Gorrell from BYU – Professor Gorrell contributes CFD domain expertise in applications for gas turbines.

      This work is sponsored by the Air Force Research Laboratory (AFRL) through a Phase II SBIR, Contract FA8650-14-C-2439, and TPOC Michael List.

      Earl Duque, Intelligent Light, July 2014.

    • July 8, 2012

      The Turbomachinery Group of QinetiQ,combined with FIELDVIEW visualisation software marketed and supported by simulation technology specialist Applied Computing & Engineering, has enabled engineers to visualise the development of hot spots with the potential to shave millions of pounds off the cost of designing and operating turbomachinery.

       Link to news article

       


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    IT Solutions/Facilities Management

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