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ESI SYSWELD: “Predictive Simulation Solution for Heat Treatment, Welding and Assembly Manufacturing”

 From Weld Quality to Body Manufacturing & Distortion Engineering, SYSWELD offers a unique computer-aided assessment of material characteristics, residual stresses and distortions of a welded structure.

SYSWELD offers the full set of welding, assembly and heat treatment engineering methodologies needed by designers, process planners and manufacturing practitioners to:

• shorten the product development cycle by reducing the need for physical prototyping
• control and optimize material characteristics, joining process and weld integrity
• keep distortions within specified tolerances
• enhance product performance, quality, and overall service life of welded structure

EESI Group: ESI is a world-leading provider of Virtual Prototyping software and services with a strong foundation in the physics of materials and Virtual Manufacturing. Founded over 40 years ago, ESI has developed a unique proficiency in helping industrial manufacturers replace physical prototypes by virtually replicating the fabrication, assembly and testing of products in different environments. Today, ESI’s customer base spans nearly every industry sector. The company employs about 1000 high-level specialists worldwide to address the needs of customers in more than 40 countries.

Ukrainian State University of Railway Transport is former Ukrainian State Academy of Railway Transport, Kharko Ukrainian State University of Railway Transport, Kharkov Institute of Railway Engineers (USURT-USART-HIIT).

Ukrainian State University of Railway Transport is a leading institution of higher education transport sector, a real cradle frame for Ukrainian railways and enterprises of other countries.

Established in 2008 Libralato is an innovation specialist in low carbon vehicle technologies; with expertise and new concepts for hybrid systems, validated through European Green Cars Initiative and Innovate UK projects. The Libralato rotary hybrid engine represents an historic breakthrough in automotive internal combustion engine design and enables a mass transition to plug-in hybrid electric vehicles which are cost competitive without government subsidy. The size and weight savings from the engine enable the whole plug-in hybrid system, including 5kWh batteries, to be fitted into any car engine bay, reducing fuel oil consumption by two thirds and CO2 emissions by 50%.

The Libralato rotary hybrid engine is potentially the most significant breakthrough in automotive internal combustion engine design since the Otto and Diesel cycles in the Victorian Age; solving the shortcomings of the Wankel engine from the 1950s. It shares the mechanical simplicity, power density and low cost of the Wankel engine but introduces a revolutionary 9-phase thermodynamic cycle for exceptionally high efficiency and low emissions, without the sealing and lubrication problems of the Wankel engine.

The Libralato rotary hybrid engine is an enabling technology for cost competitive plug-in hybrid electric vehicles (2 year ROI pay-back from the fuel savings, without subsidy).  Libralato aims to be a market leader for the urgent societal challenges of how to break the car’s ‘addiction to oil’ in a way that the average driver can afford and how to eliminate urban traffic pollution; by a mass transition to plug-in hybrid vehicles, which reduce fuel oil consumption by two thirds, fuel running costs by 60% and CO2 emissions by 50% (well-to-wheel).

Our product provides a way to gather commuting data, particularly Origin-Destination Matrix, an essential input for transport planning. We offer a deep tailored analyse of the obtained data through our self-developed algorithm according to the customer needs, and provide the necessary information on how to enhance their transport services.

B-us is a system to deploy flexible  buses lines adapted to the users’ needs. A big concert is happening in your city. Then only thing the attendees have to do to get to the venue is download the b-us app and fill a quick survey. Our algorithm will calculate the optimal route for a bus, and the app will inform them where and when they have to wait for the bus to pick them up.

This is only one of the applications of B-us, a crowd sourced, scalable method to adapt and evolve buses lines through mobility surveys: Transit Authorities can gather key data for transit planning for a fraction of the cost while engaging citizenship in the process. User can feel part of the transit planning process and see the system adapt to their transport needs.

TSS-Transport Simulation Systems (TSS) develops, markets and supports the Aimsun traffic modelling software environment. Aimsun is the only tool on the market to fully integrate and microscopic and mesoscopic hybrid simulator plus travel demand modelling and macroscopic functionalities in a single software application.

TSS also continues to innovate with Aimsun Online, the real-time decision support system for traffic management.

Now with offices in Barcelona, London, New York City, Paris, Portland and Sydney, TSS services over 3,500 licensed users in 73 countries, including government agencies, consultancies, academic users and research partners.  

Neurosoft Sp. z o. o. was established in 1992 as a spin-off of academic co-workers and graduates of University of Wroclaw and Wroclaw University of Technology. Technology provided by Neurosoft is based on artificial neural networks (AI). The main objective is to use artificial intelligence in practice. Neurosoft's strategy is to develop innovative products based on unique technologies.

Neurosoft’s journey has started based on the idea to make easier and safer the daily life of human being. For this purpose Neurosoft’s core technologies are: speech analysis and synthesis, digital signal processing (optical character recognition) and natural language processing.. Company’s goal is to build innovative solutions linking a man and a machine with intuitive interface. Thanks to a strong R&D department Neurosoft successfully transforms research on new technologies into specific products. Neurosoft is a stakeholder of international R&D projects dedicated to traffic management and road safety systems.

Particularly important applications of our technologies are these connected to intelligent transport and road safety systems. Neurosoft is the first company offering commercial solutions for complex identification of vehicles in motion on the basis of digital image analysis only.

Based on experience and scientific approach Neurosoft became to be a globally acting supplier providing technology for the identification and recognition of vehicles. The main product line offered by Neurosoft is NeuroCar – a family of products that applies advanced image analysis methods in intelligent transport and road safety systems. 

Automatized processes of NeuroCar take place in real time delivering its users uniquequality of recognition due to sophisticated method enabling Make and Model Recognition of car. NeuroCar supports  statistical analysis and business intelligence accessible on-line via intuitive web application. All products are supported by IT engines based on neural network technology.

NeuroCar became an effective tool to promote road safety and Intelligent Transport Systems (ITS) in cites and roadways enabling faster and safer transport of people and goods. The products allow, i.a. for non-invasive detection of the vehicle presence and automatic recognition of its license plate, vehicle category, manufacturer (ex. Ford, Toyota), model (ex. Taurus, Yaris), even vehicle spee and color – all this complex identiticataion is possible based on video signal only!

Neurosoft deliver an effective operational work tools for private and public entities as: Police officers, road engineers, and Road Transport Inspection, etc.

The best-sold products of NeuroCar are:
- NeuroCar RedLight - a stationary registering enforcement device that automatically reveals violations of traffic rules committed by drivers not complying with traffic lights;
- NeuroCar Weigh-in-Motion - a system for the detection and identification of oversized and overloaded vehicles in motion; system combined with dangerous goods identification system (ADR);
- NeuroCar Section Speed Control – an enforcement system for measuring the average speed of vehicles on the designated road section;
- NeuroCar Access Control - is an automatic system which allows for the control and monitoring of vehicles in demarcated zones, on the basis of video-identification;

- NeuroCar Vehicle Identification - a system designed for detection and identification of vehicles in motion performed on basis of their image from a video camera.

The Fraunhofer LBF (www.lbf.fraunhofer.de) looks back on 75 years of experience in the field of structural durability and nowadays expanded with the expertise in adaptronics, plastics and system reliability. The Fraunhofer LBF develops, evaluates and realizes customized solutions for safety relevant products with a team of more than 450 employees together with the associated Chair of System Reliability and Machine Acoustics SzM and Chair of Macromolecular Chemistry of the TU Darmstadt. In doing so, the full added value chain is considered, from the idea to the product, from the material to the system and over the full life-cycle. For the customized solutions, the LBF provides versatile test facilities on more than 17.000 m2 which are complemented by the Virtual Test Lab for numerical simulations and testing. Since 1 July 2012, the German Institute for Polymers (DKI) became a division of Fraunhofer LBF. Thus, the competences of the Fraunhofer LBF have been extended by synthesis, processing, analysis and testing of functional and engineering plastics. Furthermore, the new battery test center for evaluatiing the life-time and reliability of complete battery systems has opened April 2015. The Fraunhofer LBF is currently structured into the four divisions Structural Durability, Smart Structures, Plastics and System Reliability.