Artificial Inteligence Enabled Coolant Monitering System

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dc.contributor.authorShivaprasad, S
dc.contributor.authorSammed, Patil
dc.contributor.authorShreekrishna
dc.contributor.authorSrivathsa, S
dc.date.accessioned2020-09-16T11:39:18Z
dc.date.available2020-09-16T11:39:18Z
dc.date.issued2020-09-16T11:39:18Z
dc.description.abstractMetalworking fluids (MWFs) has greater significance in Manufacturing processes to ensure workpiece quality, to reduce tool wear, and to improve process productivity. The specific chemical composition of an applied Coolant should be strongly dependent on the scope of application. Even small changes of the MWF composition can influence the performance of MWFs in manufacturing processes considerably. In this Project, Intelligent Coolant monitoring System will be developed to ensure proper monitoring of water-based Metal Working fluids. This real time coolant monitoring system will be based on IoT platform and developed with integrating various sensors with Raspberry pi computing board.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/12753
dc.language.isoenen_US
dc.subjectShivaprasad Sen_US
dc.subjectSammed Patilen_US
dc.subjectShreekrishnaen_US
dc.subjectSrivathsa Sen_US
dc.subject1NH16ME103en_US
dc.subject1NH16ME094en_US
dc.subject1NH16ME104en_US
dc.subject1NH16ME110en_US
dc.titleArtificial Inteligence Enabled Coolant Monitering Systemen_US
dc.typeOtheren_US
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