A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
H L, Nandeesha
- Development of IoT Based Pneumatic Punching Machine
Authors
1 Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore 560054., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 363-367Abstract
Building effective industrial systems are now possible with the help of the Internet of Things abbreviated as IoT. In nowadays automatic systems are recommended over manual systems. IoT is the latest and rising internet technology. IoT is a developing network of everyday products, from industrial machinery to consumer goods which exchange information and carry out tasks while consumers are attending to other responsibilities. A machine tool is used to punch sheet metals to increase the static stability of the section of the sheet. The movement of the piston in the pneumatic punching machine is from the compressed air which generates high pressure on the piston. The focus of this project is on the development of an IoTenabled sheet metal punching machine. The main objective of this project is to develop an IoT-based pneumatic punching machine that is capable of monitoring the production parameters of the pneumatic punching machine through an easily manageable web interface. Additionally this technology is innovative in that it allows the control of the punching machine through the Internet of Things as well as the tracking of production data or production values.
Keywords
IoT (Internet of Things), Pneumatic Punching Machine, Production Monitoring, Arduino.
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- Design and Development of an IoT Kit To Predict Cutting Tool Life and Generate Auto Inventory
Authors
1 Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore 560054., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 368-373Abstract
For the best tool life, machining precision, and maintenance, a cutting tool life prediction is crucial. As a result, an online smart diagnosis service must be created to establish an auto inventory and anticipate the cutting tool life based on temperature data. Due to the fast-cutting velocity and high work material strength, diffusion wear becomes predominant when the cutting temperature rises significantly. Based on sensorial data gathered at the factory level, knowledge-based algorithms conduct online-based inspections on utilized tool life including tool breakage occurrence. Because heat load influences tool wear rate, a thermistor is fitted to the cutting tool to alert the database server when the temperature rises. based on the data.
Keywords
Machining, IoT, Cutting Tool Life, Temperature.References
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