Sensor Fusion for Real-Time Condition Monitoring of Tool Wear in Surfacing With Fly Cutters

Author(s):  
Ramsey F. Hamade ◽  
Ali H. Ammouri

A coherent artificial neural network, ANN, software program capable of real time analysis and decision-making is utilized in this work for the automatic detection and diagnostics of tool wear during a surfacing milling operation using a fly cutter. Several sensors were utilized to collect data indirectly related to wear: current measurements from the spindle and two (x, y) drive motors, three (x, y, z) components of cutting force, and acoustic emission. Furthermore, direct wear measurements were collected using image capturing and dimensional measurements of the worn location (not performed in real-time). As the inputs from these sensors were ‘fused’, the ANN utilized this multiple-sensor data to yield reasonable predictions of ‘good’, ‘used’, and ‘worn’ tools.

Proceedings ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 14
Author(s):  
Pirovano ◽  
Shinde ◽  
White ◽  
Wallace ◽  
McCaul ◽  
...  

The field of biochemical sensing is evolving from the use of bulky apparatuses to the development of miniaturized systems allowing personal sensing and point of care analysis. We report a wearable platform capable of measuring the concentration of multiple electrolytes in sweat (Na+, K+, Cl−). The platform accesses sweat emerging through the skin, drawing it across solid-state ion-selective electrodes by capillary action. The electrolyte composition is monitored in real time by potentiometry. The sensor data is digitised and transmitted via Bluetooth to a mobile phone or laptop. The platform has been employed in on-body trials during controlled exercise.


Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.


2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli

2021 ◽  
Vol 57 (28) ◽  
pp. 3430-3444
Author(s):  
Vinod Kumar

This article describes our journey and success stories in the development of chemical warfare detection, detailing the range of unique chemical probes and methods explored to achieve the specific detection of individual agents in realistic environments.


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