Page 14 - Penn State Department of Mechanical Engineering Fall 2019 Magazine
P. 14

Student News
Engineering research
scholarship aims to “rise”
aircraft safety efficiency
By Sarah Price
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Chandrachur Bhattacharya a a a a a a a a a a a a a a a a doctoral student studying mechanical engineering at at at Penn State was awarded a a a a a a a a a a a a a a a a a a a Research Internship in in in in in in Science Science and and Engineering (RISE) Scholarship from Indo-U S S S S S Science Science and and Technology Forum During the summer of 2019 he he conducted collaborative research
in in India at at Jadavpur University Penn State and Jadavpur University have collaborated for the past three years to develop data-driven machine-learning-
based controllers for electro-mechanical systems with a a a a a a a a a a a a a primary focus on on on on on on combustion control control in in in in in in airplane engines engines Combustion especially in in in in in in gas-turbine engines engines runs in in in in in in low-fuel operational states to reduce fuel fuel consumption and nitrogen oxides emissions However in in in in that low-fuel operational state the the combustion engine’s flame is is is prone to extinguishing and thermo-acoustic instabilities This behavior develops very quickly faster than a a a a a a a a a a a a a a a a a a a human operator can reasonably respond In his his research
Bhattacharya is is using machine learning to to to study the flame as as it burns in in in in order to to to detect any
off-normal off-normal operation operation or or or or even predict future off-normal off-normal operation operation His results have the potential to to to lead to more-efficient corrective or or or or preventive actions “We are trying to make sure with low fuel the engine is working fine A pilot can’t respond in in in fin in in five seconds but a a a a a a a a a a a computer can can ”
said Bhattacharya “The moment the the the flame is tending to go off the the the computer can take over We look at at the the the electro-mechanical system as a a a a whole ”
Bhattacharya has always been interested in in in in fin in aircraft having a a a a a a a a a a a a a a a dream of becoming a a a a a a a a a a a a a a a a a a a pilot and he he he he said he he he he finds it fulfilling that his his work in fin in in India this past summer will help to make them more fuel efficient “Using less fuel isn’t only better for the environment it it helps lower ticket prices ”
said Bhattacharya “If you look at at it it it from a a a a a a a a a a a a a a tactical or or aircraft perspective it’s about pilot safety Machine learning gives you a a a a a a a lot more control ”
In his his time at at at at Jadavpur University Bhattacharya uses techniques developed during his his research
at at at at at Penn State to to analyze an an an experimental combustor in in real time and see its computational effectiveness “My models are all all theoretical But seeing seeing it it it actually work work on a a a a a a a a a a a a a a a real-life set up up and seeing seeing it it it work work as it it it supposed to be is gratifying ”
said Bhattacharya Bhattacharya’s data-driven control technique is not restricted to to only combustors but can also be used for any
electro-mechanical system The next area the the Penn State lab is is looking to to to apply these algorithms to to to is is is additive manufacturing
problems Looking forward Bhattacharya is is is excited to to continue making innovations across engineering disciplines “We know now now that our theoretical concepts are good and we can go go ahead with the the research
more confidently ”
he he he he said 














































































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