Page 26 - MMI - JanFeb 2021 single

and approve the decision made data-heavy task that involves a
by AI, or have the option to opti- considerable amount of histor-
mize the process further. ical data sets. Deciding which
Anil Bhardwaj, Managing Di- process parameters produce the
rector, Yamazaki Mazak India best quality and output is not an
Pvt Ltd, says, “Mazak control- easy task. Questions like which
lers use 3D models, CAD data, parameters to use for the high-
and AI-enhanced machining est yield, etc., are best answered
process selection to automati- by AI that can crunch the data
cally program parts in MAZA- fast, constantly learning from
TROL. For our machine spin- the previous data points.
dles, we utilize AI technology Jose Varghese, Director, Tech-
to optimize cutting conditions nology, DMG Mori Seiki India,
by monitoring spindle vibra- says, “DMG Mori helps the
tion and adaptively altering customer transform their shop
cutting technology (Feeds & Source: Sandvik Coromant India floor into a digital factory by
Speeds) to remove the vibra- taking advantage of the ad-
tion. With optimum processes vanced technologies and con-
achieved, the cutting technol- tributes to significant improve-
“AI can be leveraged to
ogy characteristics for the tool ments in productivity and
optimize maintenance, refine
are stored in the MAZATROL processes, increase productivity profitability. DMG Mori Digital
For com- or EIA (NC) program.” and sustainability, and improve Factory transcends the five
panies to He adds, “We also have an AI safety. It is driving increased steps of planning, preparation,
stay com- Thermal shield that automati- automation through the use of production, monitoring, and
collaborative robots, thereby
petitive, cally compensates the machine increasing productivity and service. With the cutting-edge
manufac- lowering costs. Sandvik is operating system, with CE-
turers must for temperature changes. Ma- developing new concepts and
realize that chine Learning combined with solutions that can help LOS at its core, it connects hu-
AI is no Spatiotemporal modeling is manufacturers reduce waste mans, machines, and factories
and improve efficiency.”
longer a used to increase the stability to achieve visualization and
concept of of processes with temperature Sunil Joshi analysis of information, which
President
the future change, further enhancing the Sandvik Coromant India has been difficult in the past.
but is now machine’s accuracy.” Through factory digitization,
a reality For many companies, the im- ing up many opportunities for DMG Mori identifies the chal-
that can plementation of AI can seem both producers and suppliers. lenges that the customers face
be imple- daunting. Manufacturers can It can be leveraged to optimize and provides solutions best
mented.
now generate billions of data maintenance, refine processes, suited to their needs.
points through smart machines, increase productivity and sus-
advanced sensor technologies, tainability, and improve safety. DMG Mori Digital Twin is one
and intuitive computing power. In addition, it is driving increased such specific AI tool developed
Still, many are uncertain how automation through the use of to offer the following benefits
to effectively use and manage collaborative robots, thereby in- to the customer:
this massive volume of data to creasing productivity and lower- • Continuous process improve-
increase productivity, reduce ing costs. Sandvik is developing ment due to virtual program-
costs, improve quality, etc. new concepts and solutions that ming and teaching machines.
They often attribute their hes- can help manufacturers reduce • Development-related prod-
itancy in the adoption of AI to waste and improve efficiency. uct optimization, leading to
cost, lack of IT requirements, or Our digital machining solutions, savings in time and money.
not being Industry 4.0 ready. which include software solu- • Increase in productivity due
However, for companies to stay tions, can strengthen the custom- to better system utilization.
competitive, manufacturers must ers’ value chain and facilitate da- • Quality improvement of the
realize that AI is no longer a con- ta-driven decision-making.” machine and automation solu-
cept of the future but is now a tion by means of virtual tests.”
reality that can be immediately Areas in manufacturing
implemented in one’s plant. where AI helps Predictive & Preventive
Sunil Joshi, President, Sandvik Production Optimization Maintenance
Coromant India, says, “AI is open- Optimizing processes can be a Some of the biggest potential

26 | January-February 2022 Modern Manufacturing India