TC Industries Panels

Our Client

 

Applied Integration (AI) have provided TC Industries with a control panel which will power their lifting gear. TC Industries are an industry leading manufacturer of cutting edges, wear parts, and fabrications, as well as commercial heat treat services.

Client Requirements

The purpose of the lifting gear will be to lift the long steel bars purchased from British Steel from a stack to an infeed conveyor, where the material will travel to its first process which is the cut to length. The steel sections to be lifted vary in weight and size from 203x19x2400 to 406x60x9800. The lifting gear will be a cantilever which will cross travel using a trolley system using rack and pinion for accuracy. To lift the steel, two hoists will be energised to raise and lower a lifting beam that will consist of eight electromagnets, strong enough to hold a maximum weight of 1.5 tonnes. An operator control box will be available to the production operatives to start and stop the system along with selecting which stack they require for processing.

A number of circuit boards neatly linked inside a metal frame.

“The reason TC industries chose AI to design and build the project was due to the highly successful previous projects that AI were involved”, says Samuel Martin, TC Industries of Europe. “Also AI were competitive in price along with a short lead time”.

Client Aims and Project Benefits

 
A close up of an Allen & Bradley circuit in a control panel.

Increasing safety and reducing the labour on the shop floor are the outcomes our client wanted to achieve. Currently, production operators require a crane ticket to lift their cutting material. Once the project is complete, the material will be lifted via its stack into a position for the automation to take over. This will reduce labour, increase throughput of the machine and most importantly increase the safety.

Applied Integration is a leading systems integrator, specialising in delivering the latest industry technologies with a focus on Industry 4.0, Digitalisation, Internet of Things (IoT), Analytics, Big data / Cloud Technologies, Safety Critical Systems (SIL1, SIL2, SIL3) and Robotics and Collaborative Robots (Cobots). Founded in 2005, AI has a dynamic, 50+ strong engineering team with many years combined experience.