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Model Based Control Of Machining Processes: Exploration Of Bayesian Statistical Methods For Identification And Control, Parikshit Mehta
Model Based Control Of Machining Processes: Exploration Of Bayesian Statistical Methods For Identification And Control, Parikshit Mehta
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Machining process modeling & simulation as well as in-process monitoring and control have been identified as key technological factors to power efficient manufacturing facilities of tomorrow. The effective utilization of process models and in-process control are aimed towards improving profitability of the manufacturing process. To that end, the objective of this research work is to improve machining performance by implementing in-process control using model based control strategies, while considering stochastic models of machining process. Towards satisfying that objective, three research questions are asked.
1) What are metrics of measuring machining performance and which machining process models are important to consider …
Adaptive Model Based Combustion Phasing Control For Multi Fuel Spark Ignition Engines, Baitao Xiao
Adaptive Model Based Combustion Phasing Control For Multi Fuel Spark Ignition Engines, Baitao Xiao
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This research describes a physics-based control-oriented feed-forward model, combined with cylinder pressure feedback, to regulate combustion phasing in a spark-ignition engine operating on an unknown mix of fuels. This research may help enable internal combustion engines that are capable of on-the-fly adaptation to a wide range of fuels. These engines could; (1) facilitate a reduction in bio-fuel processing, (2) encourage locally-appropriate bio-fuels to reduce transportation, (3) allow new fuel formulations to enter the market with minimal infrastructure, and (4) enable engine adaptation to pump-to-pump fuel variations. These outcomes will help make bio-fuels cost-competitive with other transportation fuels, lessen dependence on …