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The data was considered ineffective unless the site of the fracture or the initiation of cracks was within the gauge length of the dynamic extensometer.
Effect on the reduction of area of Fatigue damage The reduction of area is one of plasticity index of metal material.
Fig.6 shows the relationship between the reduction of area and the cycles.
Compared with the reduction of area under static load, the increase in reduction of area of specimens subjected to fatigue cycles is shown in Fig.7.
Fig.6 Relationship between the reduction of area and the cycles Fig.7 Increase in the reduction of area Summary （1）The test material exhibited cyclic hardening, which contributed to improve its bearing capacity under high cyclic loading

Subsequently, Fast Fourier Transform (FFT) was used to transform the vibration data from time to frequency domain.
Table 2 shows the highest percentage reduction was observed also in run number 1.
This reduction was due to the damping effect of the magnets on the vibratory motion of the tool.
The best chatter reduction is showed by the side magnet, SM (1500 Gauss) with 97.19% vibration reduction at the cutting speed of 125m/min, feed rate 0.16mm/rot, and depth of cut 2.21mm.
At the condition of 1 kHz, the highest percentage reduction is by the big magnet (BM), with 4500 Gauss at run number 1 with cutting speed 125m/min, feed rate 0.16mm/rot, and depth of cut 2.21mm, which is approximately 90% reduction. 4.

Data Acquisition: Reading sensor data. 2.
Data Processing: Converting sensor data to voltage, calculating current and power, and updating energy consumption. 3.
Data Transmission: Determining when to transmit data and sending it to Google Sheets and a serial monitor.
· Data Logging: Sending data to Google Sheets implies that the system is logging data for analysis and historical records
o Data Validation: Adding data validation steps would improve the reliability of the system.

As only annual pollutant emission of pollution sources was collected but the simulation model used in the present study needs hourly emission data, and emission varies in different period, we cannot simply allocate the total emission evenly to each hour to obtain the hourly emission but divide time for emission data according to emission characteristics of different pollution source at different time.
Then we divided the time for emission data of point sources according to seasonal characteristics and time period characteristics of production of the industries.
Data in the table is the percentage of hourly emission of the pollution source to the total emission of 24 hours.
The original data and lateral boundary data used in the simulation test were sourced from America NCEP reanalysis data with a horizontal resolution of 111 km and time interval of 6 h.
Objective of total capacity reduction.

Internet browser Center control module Data collection and fault alarm module Graph drawing module Data storage module Fig. 2 Software Architecture of Remote Network Monitoring Model In the Fig. 2, the remote network monitoring model includes five modules: center control module, data collection and fault alarm module, graph drawing module and data storage module.
The data collection module is responsible for collecting data from manufacturing computers every certain time, and the data not only included the information about the manufacturing computers but also the information about the manufacturing machines and devices.
When the data is collected, it will be sent to the data storage module.
The data storage module’ role is to store and sort the data and information about the manufacturing computers, machines and devices.
Querying Getting data and drawing graph Collecting data Fault alarm Returning graphic and other data User querying Storing collected data and device information Getting graphic data and other data Internet browser Data collection and fault alarm module Data storage module Sending Collected data Graph drawing module Center control module Fig. 3 Workflow of Remote Network Monitoring Model Implementation According to the remote network monitoring model, the remote network monitoring software is implemented, which includes two parts.

Loading continued until specimens experienced a 50% reduction of their height.
The reduction of billet diameter during upset forging is referred herein as the reduction of height.
These cooling rates were measured in the temperature range of 1050 to 850 °C using a USB-data acquisition device and type K thermocouple implemented inside the specimens.
Obviously, the higher reduction below TNR promotes formation of polygonal ferrite.
SEM micrographs of sample with 50% reduction of height cooled by compressed air.

This has also been observed in previous studies for outdoor weathering of polypropylene and is believed to contribute to the reduction of strength.
The As-Received (AR) samples were tested earlier and the results were used as baseline data.
The system is also equipped with a specialized data acquisition, data reduction and data plotting software.
On the other hand, the fracture strain is observed to experience an abrupt reduction in value that starts after 100 hours month of accelerated exposure (Figure 5).
As fracture strain is generally thought of as measure of material toughness, its reduction is an indication of lower toughness.

Nevertheless, preliminary mechanical property data seemed to show an improved superplastic response in Mg alloys processed via large strain hot rolling [10].
The processing route consisted on three rolling passes with reductions of 20%, 35%, and 55%, respectively.
However, significant scatter on the ductility data under these conditions was apparent.
The scatter in the ductility data might be due to the effect of uncontrolled precipitation during the temperature stabilization and testing time.
Data for this plot were obtained from strain rate change tests at 250flC and 300flC, with strain rates varying from 2x10-5 s -1 to 2x10-2 s -1 Conclusions The superplastic response of an AZ61 alloy processed via large strain hot rolling has been investigated.

The study has revealed the reduction in thickness of "white layer" of surfaces of machined workpieces of hardened high-alloyed steels in use of coated ceramic tools and the increase of cutting properties of coated ceramic tools.
The analysis of the data of the experimental studies suggests the following.
The above allows predicting the increase in quality of machined surfaces and the reduction of wear rate when using the coated tools.
In particular, the study has revealed the reduction in thickness of "white layer" of surface layers of workpiece in machining with coated ceramic inserts and the increase of cutting properties of coated ceramic inserts.
The study has revealed the reduction in thickness of "white layer" of surfaces of machined workpieces of hardened high-alloyed steels in use of coated ceramic tools and the increase of cutting properties of coated ceramic tools.

The HRP/CdSe/MS composite film toward the reduction of hydrogen peroxide (H2O2) had stronger response signal under UV illumination than that in the dark.
The electrons photo-generated from CdSe and the electrons provided by electrode can occur simultaneously to catalyze the reduction of H2O2.
When CdSe/MS composite film as an electron donor is presented in a peroxidase–electrode system, the electrons photo-generated from CdSe/MS composite and the electrons provided by electrode can occur simultaneously to catalyze the reduction of H2O2.
Wide-angle (10-80º, 40 kV/200 mA) X-ray powder diffraction (XRD) data were recorded on a Rigaku D/max 2550 VB/PC diffratometer using nickel-filtered Cu-Kα radiation with wavelength λ = 0.154056 nm.
Such a fast response may be ascribed to CdSe as an electron donor presenting in a peroxidase–electrode system and facilitating reduction processes.