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Anisotropic material data mapping technology for advanced composite and mechanical simulations

Summary

Profile Type
  • Technology offer
POD Reference
TOTR20260811026
Term of Validity
11 August 2026 - 11 August 2027
Company's Country
  • Türkiye
Type of partnership
  • Commercial agreement with technical assistance
  • Research and development cooperation agreement
Targeted Countries
  • All countries
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General information

Short Summary
A Turkish technology developer offers a material data mapping solution for integrating anisotropic material information into virtual mechanical simulations. The technology supports the digital representation of material behaviour and can be applied to composite and advanced material development, part optimisation and manufacturing process analysis. The company seeks industrial and technology partners for technical cooperation, technology integration and joint development.
Full Description
A Turkish technology developer based in a university technology park specialises in digital manufacturing, material characterisation, mechanical simulation and Industry 4.0 technologies. Its engineering activities focus on making manufacturing process effects and material parameters more accurately represented within virtual mechanical simulations and digital models.

The company has developed Vi-Map, an Anisotropic Material Data Mapper, as a technology for working with material data in virtual engineering and simulation environments. The solution addresses the challenge of representing material behaviour that varies according to direction and integrating relevant material information into mechanical simulation workflows.

The technology is particularly relevant to engineering applications where the relationship between material characteristics, manufacturing processes and final part performance needs to be better represented in virtual simulations.

Potential application areas include:
-Advanced composite and anisotropic material modelling
-Virtual mechanical simulations and finite element analysis
-Part and assembly design optimisation
-Manufacturing process optimisation
-Lightweight component development
-Material characterisation and performance prediction
-Digital twin development for manufactured parts and assemblies

The company's broader digital manufacturing approach combines data acquisition from tools and sensors, embedded software development, data mining and storage, and the generation of reports and data transfer for virtual analysis and decision-making. It also develops digital twin models of parts and assemblies to support predictive analysis, reinforcement and lightweighting.

The technology is particularly relevant for automotive, commercial vehicle, aerospace, defence and process industries, which are identified as the company's main industrial markets. Innovative application areas also include industrial artificial intelligence and smart materials.

The company has experience in applying digital simulation and Industry 4.0 technologies to real industrial problems. Its publicly presented projects include mechanical validation of coating and decoating processes, early damage detection in manufacturing, and AI-based process monitoring and control. One project reported a 17% reduction in raw material usage and another targeted a 19% reduction in mis-production.

The company is interested in international partners that can integrate the technology into their engineering and simulation workflows, provide industrial validation environments or collaborate on further technological development. Cooperation may involve technology integration, technical adaptation, joint development and pilot implementation.
Advantages and Innovations
The technology provides an approach for incorporating anisotropic material information into virtual engineering workflows, supporting a closer connection between material behaviour, manufacturing processes and simulated part performance. It can contribute to more accurate engineering analysis and support optimisation of component design, material use and manufacturing processes. The technology is backed by an engineering team experienced in mechanical simulations, material characterisation, industrial digitisation and Industry 4.0 applications.
Stage of Development
  • Already on the market
Sustainable Development Goals
  • Goal 13: Climate Action
  • Goal 12: Responsible Consumption and Production
  • Goal 9: Industry, Innovation and Infrastructure
IPR status
  • No IPR applied

Partner Sought

Expected Role of a Partner
The company is looking for industrial companies, engineering organisations, technology developers and research organisations with expertise in composite materials, mechanical simulation, advanced manufacturing or digital engineering. Partners are expected to integrate or validate the technology in industrial applications, provide relevant simulation and manufacturing environments, and collaborate on technical adaptation, pilot implementation or further development.
Type and Size of Partner
  • Big company
  • Other
  • SME <=10
  • University
  • R&D Institution
  • SME 11-49
  • SME 50 - 249
Type of partnership
  • Commercial agreement with technical assistance
  • Research and development cooperation agreement

Dissemination

Technology keywords
  • 01003016 - Simulation
  • 02009014 - Automotive electrical and electronics
  • 02007024 - Nanomaterials
  • 02009012 - Automotive engineering
  • 01003007 - Computer Technology/Graphics, Meta Computing
Market keywords
  • 08002007 - Other industrial automation
  • 02002007 - Other computer graphics
  • 08003005 - Other industrial machinery for textile, paper & other industries
  • 02007019 - Computer-aided instructions
  • 02007011 - Manufacturing/industrial software
Sector Groups Involved
  • Aerospace and Defence
  • Digital
  • Creative Industries
  • Mobility - Transport - Automotive
Targeted countries
  • All countries

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