Search results

Introduction Networked collaborative product development is an advanced strategy of product development that is generated with the mature of Internet technology, aims at the establishment of sharing, integrated and collaborative product development mode, further reduction of product development period and improvement of product quality so as to win in fierce competitive market [1, 2].
Collaborative tools Audio and video meeting Sharing whiteboard E-mail Computing serve Data serve Information serve Coordinating serve User management File management Data management Task management Data base Decision Engine PLM Production planning of QFD Inference based on CBR Process planning of QFD Parts deployment of QFD Product planning of QFD Intelligent editing Report of VOC Initialization Inference based on CBR The analysis of FMEA Collaborative platform of CSCW VOC The integration of QFD and FMEA optimization Engineering characters Parts characters Process characters Production operation optimization optimization optimization Knowledge base Fig. 2 System functions of CQDS Low layer (Intranet) Information management Task management Collaborative management Quality design Task assignment Platform of collaborative quality design based on CSCW Quality knowledge managment Collaborative tools VOC FMEA
Quality design team management Clients Customer Cooperative enterprises … … User data base Internet Top layer (Internet) Middle layer (Intranet) ERP PLM QFD VOC.

The mobility reduction is caused by near interface traps (NITs) located near the conduction band edge in α-SiC [2].
Each micrograph comprises a 512 × 512 data point matrix, where each point represents the current value at a specific position (i.e. for a specific nano-MOS capacitor) in the 2D map.
The statistical distribution of these data points (not shown) results in two distinct peaks, one near zero current and another around the maximum current value in the micrograph, where the high current values correspond to BD spots.
From these distributions, the failure ratio was estimated from the percentage of data points belonging to the high current peak.
-4 -3 -2 -1 -10 -5 0 Experimental data Extrinsic fit W eibull statistics Intrinsic Ln(-Ln(1-F)) Ln(t) Extrinsic Fig. 3: Breakdown kinetics and Weibull plot.

From these data it can be concluded that aromatic compounds of essential oils should also influence the formation of o/w emulsions and their steam delivery.
Physicochemical data are summarized in Table 1.
Table 1: Physicochemical data of different oils used in this project.
The following drops were formed with a constant reduction in initial volume.
Data Vol. 44 (1999), p. 56 [2] A . del V.

The control components are consisted by personal computer, data acquisition module USB-4711A, sensors, microcontroller STC89S52, stepper motor and drivers, and so on.
Data acquisition module is connected to PC through a USB connection, and then two stepper motors are controlled by microcontroller through D/A converter interface, pulse sequences are produced by microcontroller, precise displacement could be realized by changing the number of pulses sent to stepper motors.
Signals from eddy current sensor are collected by System of detection scanning, and which could output on the screen after being extracted by data acquisition.
Ball defect scanning belongs to dynamic monitoring, detection signals are amplified through second-order high-pass filter circuit, each detection mechanics has two sets of the same circuit, which are sent to the A/D conversion template after filtered and amplified, and sampling data are sent to be analyzed by computer, the result could be used as a basis to select flawed ball.
To control stepper motor’s speed and position, it is necessary to control the given load, through the acceleration, high speed, reduction process makes load from one location to another location.

Based on man-machine interactive interpretation, two period vector data can be acquired.
The data sets were classified into seven categories, including cropland, wetland, woodland, grassland, water body, built up land and wetland.
The land use map and their corresponding attribute data were showed and analyzed in Arc GIS software for subsequent calculation of ecosystem service value (Fig. 1).
Through overlay analysis of two land use images and attribute data calculation within Arc GIS soft, the area of land use change was obtained (Table 3).
The total ecosystem services value of Xinjian was about 4588.2 million Yuan in 1996 and 4587.8 million Yuan in 2004, with a reduction of 340.8 thousand Yuan.

HMI (Human Machine Interface) is developed by using Siemens WinCC, and through the variable connection set and the communication device property allocated in the WinCC to realize the HMI/SCADA functions in the system: parameter display, button operation, data report forms and so on.
When used as the lower computer, PLC takes charge of controlling the hardware switching value I/O and collecting and altering analog quantity, and communicating the global data through PROFIBUS.
IPC and PLC communicate through CP5611 data network interface controller.
Actuating mechanism and data collection system composes of relative transducers, controller modules, electrical components, control bus and so on.
The system has operated safely for two years, realizing energy saving and emission reduction, acquiring good economic benefit and environmental protection, improving the product quality and production efficiency, controlling the temperature to ±2º of the setting temperature, which has achieved the desired effect.

One popular approach to solve the multi-response optimization problems is dimensionality reduction strategy.
The control factors are assigned as the input data and the response GRG is assigned as the output data.
Given the input and output layers from the experimental data, the structure of a neural network can reference literature[11].
Given the experimental data, the SN ratios and the normalized values of SN ratios (NSN) are computed using correlated equation.

An auxetic material can change the scale of its geometry when a load is applied, causing an increase or reduction of spaces between the molecular structure.
Printed specimens. a) “T” shaped, b) “M” shaped, c) “PI” shaped To determine the energy absorbed by the material, it was based on the universal definition of energy that is work, which is directly related to the compression stress and the crushing unit strain produced by the piston W=0εσεdε (1) The data delivered by the machine in the experimentation are points which generate a curve, to estimate the return energy of the material it is necessary to use numerical integration applying the trapezoidal method, since it becomes much easier to estimate integration because the difference between the deformation points marked by the program is not constant throughout the analysis due to the resistance of the material.
Which for data management can be numerically processed.
Intδ=12(δi+1-δi)(Fi+1+Fi) (3) It is important to consider the elasticity and flexibility of the material that is being tested, for this the estimation of this mechanical property is possible by using the data obtained by the testing machine, firstly the height of the blue semi-rigid material on each elastomer must be measured and later after the compression test take a new measurement of the same part, then using the stress and deformation data it is possible to calculate the stiffness modulus of the material with the following equation.

Fixed parameters used for the experiments Parameters Value Arc length 2 mm Shielding gas Argon, 30 l-min-1 Electrode tip angle 35o Tungsten electrode diameter 3.2 mm Base current in pulsing 100 A Results and Discussions: SSRT data such as UTS, Elongation % and SCC index [ε(NaCl) / ε(air)] are summarized in Table 3.
In the case of FBTIG welds both in Experiment No 2 and 3, decrease in the UTS and elongation are observed in NaCl environment resulting in reduction in the SCC index to 0.93 and 0.91 respectively.
They have generated the test data of AA 2219-T87 condition in as welded (both single and multi-pass welds) and after repair welding using SSRT.
Though comparable published data is not available for FBTIG welds, the SCC index of FBTIG welds observed in the present study is comparable with the data for conventional TIG welds reported by Venugopal et.al [10, 11].

According to the EDX analysis data, the resulted active particles are primarily composed of Ni (> 99 at.%) with residual amount of chrome (0.3-0.5 at.%), whereas Cr concentration in the initial nichrome wire was 17-20 wt.%.
Rather fast reconstruction of the surface of bulk Ni-Cr alloy with formation of the active centers enriched with nickel is thought to be caused by occurrence of reversible chlorination-dechlorination reactions [12,16]: Ni + C2H4Cl2 → NiCl2 + 2С + 4Н (1) NiCl2 + 2H(H2) → Ni + 2HCl (2) Emergence of oxidation-reduction couple {HCl/H2} promotes the repeated interaction of metallic surface alternately with HCl and hydrogen that ultimately leads to ‘stratification’ of Ni-Cr alloy and facilitates process of isolation of nickel particles apart of inactive Cr.
Micrographs of filamentous carbon material produced after 1 h of bulk Ni-Cr interaction with reaction mixture (CFC-12 : H2 = 1 : 2,vol.%) at 600 °C: SEM data (left); TEM data (right).
According to SEM data presented in Fig. 2, the disintegration of Ni-Cr alloy exposed to CFC-12/H2 reaction atmosphere results in production of rather long carbon filaments of about 0.3 μm in diameter (Fig. 2, in the left).