Development of an online machining process monitoring system: Application in hard turning

2007 ◽  
Vol 135 (2) ◽  
pp. 405-414 ◽  
Author(s):  
Dongfeng Shi ◽  
Nabil N. Gindy
Keyword(s):  
Monitoring System ◽  
Process Monitoring ◽  
System Application ◽  
Hard Turning ◽  
Machining Process

Virtual Manufacturing for Machining Process Monitoring

2012 ◽  
Vol 482-484 ◽  
pp. 2243-2246
Author(s):  
Bai Chun Li ◽  
Hai Jun Fu ◽  
Tian Biao Yu ◽  
Wan Shan Wang
Keyword(s):  
Virtual Reality ◽  
Machine Tool ◽  
Monitoring System ◽  
Process Monitoring ◽  
Machine Tools ◽  
Virtual Manufacturing ◽  
Machining Process ◽  
Network Module ◽  
Machining Simulation ◽  
Key Technology

This paper presents an overall framework of the machining process monitoring system based on virtual manufacturing and does research on its key technology and validates the system with a engraving machine tool. By using of tabletop virtual reality platform Quest 3D, a virtual environment of the machine tool has been created and the machining simulation combined with VC++ has been realized. It has been proved that the simulation and the actual processing interface of monitoring interface are consistent, and the effect is very good. What's more, Using the network module of the virtual reality platform Quest 3D and the additional functions of the database operation, the communications among the machine tools, the server and the client is finished and the manufacturing process monitoring system based on virtual manufacturing is also realized.

A Web-based machining process monitoring system for E-manufacturing implementation

2006 ◽  
Vol 7 (9) ◽  
pp. 1467-1473 ◽  
Author(s):  
Bong-cheol Shin ◽  
Gun-hee Kim ◽  
Jin-hwa Choi ◽  
Byung-cheol Jeon ◽  
Honghee Lee ◽  
...  
Keyword(s):  
Monitoring System ◽  
Process Monitoring ◽  
Machining Process ◽  
Web Based

Surface Roughness and Cutting Force Components Evaluation in Hard Turning by Differently Shaped Cutting Tools

2016 ◽  
Vol 862 ◽  
pp. 26-32 ◽  
Author(s):  
Michaela Samardžiová
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Hard Turning ◽  
Cutting Tool ◽  
Single Point ◽  
Machining Process ◽  
Tool Geometry ◽  
Machined Surface ◽  
Cutting Force Components ◽  
Force Components

There is a difference in machining by the cutting tool with defined geometry and undefined geometry. That is one of the reasons of implementation of hard turning into the machining process. In current manufacturing processes is hard turning many times used as a fine finish operation. It has many advantages – machining by single point cutting tool, high productivity, flexibility, ability to produce parts with complex shapes at one clamping. Very important is to solve machined surface quality. There is a possibility to use wiper geometry in hard turning process to achieve 3 – 4 times lower surface roughness values. Cutting parameters influence cutting process as well as cutting tool geometry. It is necessary to take into consideration cutting force components as well. Issue of the use of wiper geometry has been still insufficiently researched.

scholarly journals A New Remote Monitoring System Application in Laser Power Based on LabVIEW

2016 ◽  
Vol 61 ◽  
pp. 06006 ◽  
Author(s):  
Gaoqiang Liu ◽  
Weilin Wu ◽  
Mingyu Liu ◽  
Kun Zhang ◽  
Guannan Chen
Keyword(s):  
Monitoring System ◽  
System Application ◽  
Remote Monitoring ◽  
Laser Power ◽  
Remote Monitoring System

In-Process Monitoring and Estimation of Tool Wear on CNC Turning by Applying Multi-Sensor with Back Propagation Technique

2011 ◽  
Vol 291-294 ◽  
pp. 3036-3043 ◽  
Author(s):  
Somkiat Tangjitsitcharoen ◽  
Channarong Rungruang
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Monitoring System ◽  
Process Monitoring ◽  
Back Propagation ◽  
Force Sensor ◽  
Accelerometer Sensor ◽  
Cnc Turning ◽  
Propagation Technique ◽  
Cnc Turning Process

The aim of this research is to propose and develop the in-process monitoring system of the tool wear for the carbon steel (S45C) in CNC turning process by utilizing the multi-sensor which are the force sensor, the sound sensor, the accelerometer sensor and the acoustic emission sensor. The progress of the tool wear results in the larger cutting force, the higher amplitude of the acceleration signal, and the higher power spectrum densities of sound and acoustic emission signals. Hence, their signals have been integrated via the neural network with the back propagation technique to monitor the tool wear. The experimentally obtained results showed that the in-process monitoring system proposed and developed in this research can be effectively used to estimate the tool wear level with the higher accuracy and reliability.

scholarly journals Automatic Temperature Measurement and Monitoring System for Milling Process of AA6041 Aluminum Aloy using MLX90614 Infrared Thermometer Sensor with Arduino

2021 ◽  
Vol 82 (2) ◽  
pp. 1-14
Author(s):  
Agus Sudianto ◽  
Zamberi Jamaludin ◽  
Azrul Azwan Abdul Rahman ◽  
Sentot Novianto ◽  
Fajar Muharrom
Keyword(s):  
Aluminum Alloy ◽  
Temperature Measurement ◽  
Monitoring System ◽  
Measurement System ◽  
Manufacturing Process ◽  
Milling Process ◽  
Numerical Control ◽  
Machining Process ◽  
Infrared Thermometer ◽  
Temperature Measurement System

Manufacturing process of metal part requires real-time temperature monitoring capability to ensure high surface integrity is upheld throughout the machining process. A smart temperature measurement and monitoring system for manufacturing process of metal parts is necessary to meet quality and productivity requirements. A smart temperature measurement can be applied in machining processes of conventional, non-conventional and computer numerical control (CNC) machines. Currently, an infrared fusion based thermometer Fluke Ti400 was employed for temperature measurement in a machining process. However, measured temperature in the form of data list with adjustable time range setting is not automatically linked to the computer for continuous monitoring and data analysis purposes. For this reason, a smart temperature measurement system was developed for a CNC milling operation on aluminum alloy (AA6041) using a MLX90614 infrared thermometer sensor operated by Arduino. The system enables data linkages with the computer because MLX90614 is compatible and linked to Microsoft Exel via the Arduino. This paper presents a work-study on the performance of this Arduino based temperature measurement system for dry milling process application. Here, the Arduino based temperature measurement system captured the workpiece temperature during machining of Aluminum Alloy (AA6041) and data were compared with the Fluke Ti400 infrared thermometer. Measurement results from both devices showed similar accuracy level with a deviation of ± 2 oC. Hence, a smart temperature measurement system was succeesfully developed expanding the scopes of current system setup.

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