Increasing the energy efficiency of injection molding process (Joint R2B Innovation voucher under OISAIR Project)

The OISAIR Project pursues the final goal of establishing the Open Innovation System of the Adriatic-Ionian Region (OISAIR), a single competitive and attractive marketplace for technology and innovation at macro-regional level. OISAIR intends to strengthen the development of industrial and entrepreneurial activities within a virtuous circle involving relevant stakeholders, from research institutions to SMEs and public administration in the Adriatic-Ionian Region. Coordinated by Area Science Park (Italy), the OISAIR project is co-funded by the Interreg ADRION Programme and is developed in collaboration with 6 partners based in the Adrion Region: University of Basilicata; HR – National Chamber of Economy; RS – Belgrade Technology Park; SI – Ljubljana Technology Park; AL – Ministry of Finance and Economy; GR – Centre for Research & Technology Hellas.

OIS-AIR project

Joint R2B Innovation vouchers (experiments) under OISAIR will transform early stage technologies (between TRL 3 and 6) and patents deriving from universities and research institutes into commercial applications and products for the market through the co-development of prototypes/testing with established SMEs.

 

Experimental plan description:

The main objective of the experiment is to develop an innovative solution according to Industry 4.0 requirements for increasing the energy efficiency in injection molding process and thus optimization of energy and material consumption inside the injection molding production cycle, when producing complex metal-plastic parts. After reviewing existing solutions in the tool-and-plastic market, we can confirm that there is currently no such solution available that would specially focus also on metal inserts since majority of solutions is focused strictly on the mold and injection molding machine side.

The heat increase that is introduced inside the mold once the correctly heated metal insert based on artificial intelligent (AI) algorithms and temperature measurements with IR camera is inserted inside the mold would allow for smart balancing of temperature field inside the mold, and also lower electrical energy and material consumption. Lower electrical energy consumption would be reached by special AI algorithms that would constantly control the temperature of metal inserts and mold. Lower material consumption would be reached by optimized process parameters in real time that are constantly monitored using the appropriate communication protocols that would help also to increase the overall effectiveness of production (OEE).

TECOS's role:

The main role of TECOS is to develop innovative solution for producing complex metal-plastic parts in accordance with I4.0 guidelines and to increase the energy efficiency during the injection molding production cycle.

Contact: dr. Dragan Kusić



  • Project status: Running
  • Duration: 1. 11. 2019 - 15. 5. 2020
  • Programme: Interreg ADRION
  • Coordinator: Area Science Park (Italy)
  • Other partners: University of Basilicata; HR – National Chamber of Economy; RS – Belgrade Technology Park; SI – Ljubljana Technology Park; AL – Ministry of Finance and Economy; GR – Centre for Research & Technology Hellas. Joint R2B Innovation experiments under OISAIR: Scientific Partner: TECOS Business Partner: FLEXIDO


  • Project status
    Running
  • Duration
    1. 11. 2019 - 15. 5. 2020
  • Programme
    Interreg ADRION
  • Coordinator
    Area Science Park (Italy)
  • Other partners
    University of Basilicata; HR – National Chamber of Economy; RS – Belgrade Technology Park; SI – Ljubljana Technology Park; AL – Ministry of Finance and Economy; GR – Centre for Research & Technology Hellas. Joint R2B Innovation experiments under OISAIR: Scientific Partner: TECOS Business Partner: FLEXIDO


Why choose TECOS?

  • Vast Experience
  • Highly Trained Staff
  • Short Response Time
  • One Contact For All Your Problems
  • State-of-the-art Equipment

Sample Project

Quickly to precise 3D model of a mill for manufacturing of replacement parts

Quickly to precise 3D model of a mill for manufacturing of replacement parts

The client had to renew a wore down rotor with knife segments for which they didn't have any documentation. With precise 3D scanning of the original and creation of functional CAD model we provided them with data for production of replacement.

Thermoplastic oil filter housing warpage prediction due to injection moulding

Thermoplastic oil filter housing warpage prediction due to injection moulding

The customer has presumed problems with excessive warpage in the stage of tool design. The material is PA66 with 30% of glass fibers. With the help of advanced injection moulding analysis we predicted the trend and values of warpage and thus successfully eliminated the problems.

Analysis of Deep Drawing Process

Analysis of Deep Drawing Process

Our client has planned a single phase deep drawing process for the presented case, however several doubts about manufacturability arose. The conducted analysis has cleared all doubts.

With Autodesk Advanced Material Exchange and Abaqus to precise results of structural FEM for fiber reinforced materials

With Autodesk Advanced Material Exchange and Abaqus to precise results of structural FEM for fiber reinforced materials

We made a comparative study between experimentaly and numerically determined strength of a fibre reinforced product, which yielded extremely good match of the results from both methods.

Prijava eseznam Tecos