In-process sensing for tool wear monitoring

With the ever-increasing availability of data, it has been crucial for every industries to collect as much data as possible and to make sense of these data to improve the efficiency of their factory or operation. As the world is moving ahead and entering the 4th industrial revolution, it is importan...

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Bibliographic Details
Main Author: Tan, Hock Hao
Other Authors: Tegoeh Tjahjowidodo
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68256
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author Tan, Hock Hao
author2 Tegoeh Tjahjowidodo
author_facet Tegoeh Tjahjowidodo
Tan, Hock Hao
author_sort Tan, Hock Hao
collection NTU
description With the ever-increasing availability of data, it has been crucial for every industries to collect as much data as possible and to make sense of these data to improve the efficiency of their factory or operation. As the world is moving ahead and entering the 4th industrial revolution, it is important for manufacturing company to produce better quality product at lower price. This can be achieve by gathering real-time data and making use of such data to improve the process while the product is being produce. In this project, an attempt to produce a model which correlate the applied force from the machine and input to the Acoustic Emission (AE) model will be developed. This model will be develop using Mass-Spring-Damper as its core model along with Newton’s Second Law of Motion as it mathematical foundation.
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spelling ntu-10356/682562023-03-04T18:33:35Z In-process sensing for tool wear monitoring Tan, Hock Hao Tegoeh Tjahjowidodo School of Mechanical and Aerospace Engineering DRNTU::Engineering With the ever-increasing availability of data, it has been crucial for every industries to collect as much data as possible and to make sense of these data to improve the efficiency of their factory or operation. As the world is moving ahead and entering the 4th industrial revolution, it is important for manufacturing company to produce better quality product at lower price. This can be achieve by gathering real-time data and making use of such data to improve the process while the product is being produce. In this project, an attempt to produce a model which correlate the applied force from the machine and input to the Acoustic Emission (AE) model will be developed. This model will be develop using Mass-Spring-Damper as its core model along with Newton’s Second Law of Motion as it mathematical foundation. Bachelor of Engineering (Mechanical Engineering) 2016-05-25T04:17:17Z 2016-05-25T04:17:17Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68256 en Nanyang Technological University 26 p. application/pdf
spellingShingle DRNTU::Engineering
Tan, Hock Hao
In-process sensing for tool wear monitoring
title In-process sensing for tool wear monitoring
title_full In-process sensing for tool wear monitoring
title_fullStr In-process sensing for tool wear monitoring
title_full_unstemmed In-process sensing for tool wear monitoring
title_short In-process sensing for tool wear monitoring
title_sort in process sensing for tool wear monitoring
topic DRNTU::Engineering
url http://hdl.handle.net/10356/68256
work_keys_str_mv AT tanhockhao inprocesssensingfortoolwearmonitoring