Cloud and automation technologies are driving the cutting tool development processes

January 3, 2022 4:35 pm

We will exhibit our strength as a solution provider related to E-Mobility and Industry 4.0 solutions.

What do you expect from the IMTEX 2022 platform? 

CERATIZIT, a century-old high-technology engineering group specialising in cutting tools and hard materials, always strives for customer specific innovative solutions. 

As always, we aim to leverage this interactive platform of IMTEX 22 to reach out to our targeted productivity partners as a complete solution provider in the domain of cutting tools in India. 

What latest products and manufacturing technologies are expected to be displayed? 

Being a complete tooling solution provider, we want to capitalise on our visibility in the market through the prestigious platform of IMTEX to make our potential customers more conversant about our product range. 

This year CERATIZIT India is planning to focus on project solutions in both ferrous and non-ferrous components which are the strength areas after integration of our four competent brands. 

We will also highlight our exciting solution portfolio with niche products accompanied by the cutting edge technologies particularly suitable for high dynamic industry segments like Aerospace, Aluminium Wheel machining, Bar Peeling, Tube scarfing, Medical etc. In addition, we will exhibit our strength as a solution provider related to E-Mobility and Industry 4.0 solutions which are emerging as the future in industry. 

Your views on Indian manufacturing in 2022.

After the slowdown during the pandemic period, we are expecting a positive market growth and we hope to continue with this momentum in the upcoming financial year as well. However, to cope up with the various variables in the dynamic market, we have also adapted ourselves to resonate on that. The market feedback reveals that customer requirements are now becoming more specific, accuracy based and of course on innovative components. We completely empathise with the customer sentiments in terms of their expansion and innovative ideas and are ready to take part in this growth trajectory as a one stop solution provider. 

What are the upcoming technology trends in metal forming/ metal cutting? 

In the ongoing scenario, fast, flexible customised tooling, easy access to tool data through cloud technology and automation are some of the technologies which are driving the present cutting tool development processes. 

Few upcoming trends to mention in this context are: 

• Digitalization 
• Industry 4.0 
• Offline and in-process solutions 

Instant technical support to field with our LiveTechPro: Immediate and competent visual support to deliver technical assistance in case of machining issues or simply to help optimise processes in spite of being at remote location from the application. 

New automation trends making the machine tools industry more user-friendly for the future. 

Some of the major automations trends which are making buzz in the industry are as below: 

Automated and IoT ready machines: As industries are adapting to digital technologies, more machines are being built for automation and Industrial Internet of things (IIOT). Smart machine tools with robotics will likely be used for situations where the work is hazardous for human beings to perform. 

Artificial intelligence (AI): As machines and machine tools are becoming automated hence programs should be written and executed in real time to manage those machines. That is where AI comes into picture. 

CNC software advancements: Advancement in computer aided manufacturing software has allowed even further precision in manufacturing. By using CAM software, we can run digital simulations of the manufacturing process before a part is physically manufactured. 

Inclusion of smart features and networks: Machine tools of the future are smarter, and which are easily networked and less prone to error. 

We are having TOOLSCOPE, which is a combination of IoT and industry 4.0. Toolscope offers a platform to generate a learning curve on the machine based on its historic data and helps achieve an efficient performance from the tool as well as from the machine from the upcoming applications based on tool life/wear monitoring, adaptive parameter control etc. Thus, it optimises tool life, productivity, safety of working that too without much human intervention.