Page 27 - AMTDC Annual Report 2019-20flipbook

When a new grinding process is to be designed, process
engineers refer to handbooks, vendor recommendations,
prior experience and other in-house expertise. But even
with all these sources, it is not very easy for a process
engineer to integrate all this information and determine
the optimal parameters. The first part of AGI project is to
develop a document/database containing all the
information related to grinding process.

The second phase of the project is to assist experts (and Process Intelligence into
even the non-experts) in finding the relationship
between the input and output parameters of the process Industry 4.0
as available from the system document and diagnose any
issue or further optimize the process. As mentioned AGI is the only intelligent software
earlier, grinding is a complex process involving multiple platform which integrates the process
process parameters. And it reflects a set of well-defined knowledge related to mechanics and
microscopic interactions and their stability or change. To microscopic interactions with Data
understand the microscopic interactions and find the Science compared to the other
relationship between input and output parameters, one
has to record the microscopic interactions. The in- platforms which offers only simple
process signals collected during the process will be used industrial solutions.
to record and analyse these microscopic interactions. Even the non-experts of grinding
The third phase of the project is to automate the above process will be able to use the AGI for
process of problem identification from the in-process problem solving, optimization and
signal, its analysis, rules and system document. For this troubleshooting the grinding process.
the in-process signals obtained has to be processed and
converted into quantifiable signal features using various
signal processing and feature recognition algorithms.

The fourth and final phase of the AGI project is to develop
a dashboard. This dashboard which can be installed in any
grinding machine. Ultimately the results will be subjected
to analytics and data science to identify further
inferences about the manufacturing process (unique
asset) by itself, in combination with other similar
operations within a plant or within a company, etc.

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AMTDC Annual Report | 2019-20