25-27 April 2022
Conventum Conference Center
Europe/Vienna timezone

A knowledge based framework to design and analyze metal working die using image processing technique

25 Apr 2022, 16:00
20m
Room 2

Room 2

Oral Presentation Digitalization in the tool steel & toolmaking industries Digitalization in the Tool Steel & Toolmaking Industries

Speaker

Dr Mallika Bhatt (Department of Computer Application, S.S. Agarwal College, Navsari-396445, Gujarat, India)

Description

The present work focuses on the knowledge-based expert system to develop an automated die and punch tools design for the sheet metal forming process (deep drawing operation). The major limitation of the conventional forming process is the manufacturing of dies. As the attributes of the final component varies, the configuration of the tooling (punch and die) require to be modified. Hence, the tooling cost and inventory increases and results into higher production cost. Therefore, to address this issue, a hybrid intelligent system is proposed considering the concept of image processing and knowledge based architecture. A novel algorithm is proposed which consists of bunch of rules to construct the conventional forming tools design. Python and AUTOCAD-VBA tools are used to develop the intelligent model. Such, hybrid model is able to handle large variety of configurations with semi skilled operator. The benefits like reduced trial and error method with minimum production cost can be achieved.

Speaker Country India

Primary author

Dr Mallika Bhatt (Department of Computer Application, S.S. Agarwal College, Navsari-396445, Gujarat, India)

Co-authors

Dr Ravi Bhatt (Department of Mechanical Engineering, Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT), Uka Tarsadia University, Bardoli, Surat-394350, Gujarat, India) Dr Nader Asnafi (Department of Mechanical Engineering, School of Science and Technology, Orebro University, SE-701 82 Örebro, Sweden)

Presentation Materials

There are no materials yet.