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Analysis of surface roughness, burr on workpiece edges and cutter diameter reduction due tool wear was performed.
This research is one part of research on micro-milling of hardened materials regard to obtain of process prediction models, optimisation and micro-machininability data base development.
As the limit of tool diameter reduction can be take geometrical limit regard to process parameter or moment in time where is surface roughness sudden increasing over nominal values.
Fig. 7 Cutting tool diameter reduction (ap = 10 μm; fz = 8 μm; vc = 40m/min; MQL) Summary Analysing of machining process performance is very important in precision industry.
Base on experimentral data, modells and data base will be developed.

., 600115, Bacau, Romania aadrian_ghenadi@ub.ro, b lili@ub.ro, c lbibire@ub.ro Key words: mechanisms for automatic changing tool, constructive- functional parameters, dynamic model Abstract: Producing of mechanisms for automatic tool (ATCM), for machining centers requires higher performance, in terms of: the reduction of effective time for tool, simplification of kinematic chain, the increasing of reliability and operational safety, the reduction of weight of the entire subassembly, the increasing of positioning accuracy in handling tools.
For performance of quality transitional processes, it may act by: - Stiffness increasing of mechanisms actuation; - Reduction of couplings clearances; - Proper adjustment of the braking devices; - Appropriate selecting of braking law and of its duration.
For this axis, it is specified the input and output data.
a) The input data are generalized loads (Fig. 3).
These are: - torque (reduced at piston rod) with the expression of in which: po2 and p2 are considered constant (it is adjusted by maximum valve of hydraulic panel of actuators); - generalized resistant moment b) Output data are kinematic parameters of the driven element function of time: Fig. 3.

For CMB, both ambient data and specific source profiles are needed.
Because PMF is based on ambient data only, it is convenient to carry out VOC source identification and apportionment.
In order to avoid any unrealistic data distorting the source analysis result, some species that are not well-characterized.
The final data set contained 21 VOC species at MBT.
The vehicle related source contribution at MBT is generally similar to the data collected at Beijing (64%) and urban Milan (60-80%) and lower than that detected at traffic intersections (82~87% ).

In order to facilitate the assessment of optimal mufflers having multiple sound-absorbing splitters, an approximated simplified objective function (OBJ) is established in advance by linking the boundary element model (BEM) with a polynomial neural network fitted with a series of real data, input design data (muffler dimensions) and output data obtained by BEM simulation.
To obtain the NNM by using the theoretical data of the BEM as the input data (the silencer’s design parameters) and the output data (STL) in the proposed NNM, a trained NNM can be achieved using the training data bank and polynomial calculation with the PSE standard (deviation of mean square).
As indicated in Fig. 3, the data bank is used to construct a polynomial neural network and can be divided into two parts ― the training data and the testing data.
Consequently, the predicted STL can be obtained by inputting arbitrary design data.
Therefore, the BEM data is applied as an exact solution.

From the processing technological point of view, the shape and distribution of inner porosity of the powders agglomerates are of fundamental importance due to their effects on the reaction rates involving the present phases taking place into the reduction stage.
The importance of porosity within this material on the kinetics reduction can be explained not only by the interfacial adsorption of the gaseous reducing agent with the solid metal oxides present in the structure but mainly due to the heat transfer within the pores coupled with gas flows [5].
This process was accomplished until a considerable reduction in the microhardness diagonal penetration and then, a new microhardness near of the last field is carried out.
The 3-D serial section reconstruction microscopy studies were carried out according to the following steps: I) sequential two-dimensional images data acquisition of the studied field, II) alignment of the digital images; III) rendering and visualization of porous structure observed.
Some difficulties were observed during the metallographic characterization due to the softness of the agglomerate that can cause inaccurate results, however with careful control in the polishing step this shortcoming could be avoided and good images were obtained after continuous refinement of the data image processing.

The reduction of ultimate load and increase in deflection of beams after fire in shear test were also observed.
Fig.2 Furnace temperature progression curve Test results and discussion The data generated from above tests can be used to study the overall performance of reinforced ceramsite LWAC beams after fire.
The average reduction of the shear ultimate capacity of beams LC20-Q-F1 and LC20-Q-F2 is about 20%.
For the main reinforcing bars, the yielding load after fire reduced about 3.8%, and there is no reduction for the ultimate load capacity listed in Table.4.
The yielding load of reinforcing bars in beams after fire reduced about 3.8%, and there is no reduction observed in the ultimate loads.

Based on above model, combing with 3D element strength reduction method and strain control criterion, the resist safety degree calculation method for dam shoulder high slope of high arc dam system has been constructed, which can fit the complex geo-mechanical engineering.
The strength reduction calculation method.
The strength reduction calculation method and the stress control criterion are used.
Based on above model, combing with 3D element strength reduction method and strain control criterion, the resist safety degree calculation method for dam shoulder high slope of high arc dam system is proposed.
The results are coincident with the monitoring data and actual experience, and provide valuable theoretical base in the engineering appraisement.

Several techniques were proposed for heat gain reduction such as ventilation, insulation and etc.
Data Reduction The data records are conducted to calculate the air flow rate and the number of air change per hour [6] can be estimate as equations (1) and (2), respectively.
Thermocouples type K (range: 0-1250°C, accuracy ±0.5°C) were installed at different positions as showed in figure 3, the thermocouples were connected the data logger (Hioki, Model: 8422-52, accuracy ±0.8%).
The data were recorded every 30 minute.
Shimizu: A laboratory experiment on natural ventilation through a roof cavity for reduction of solar heat gain, (Energy and Building, Elsevier 2008)

Empirical analysis on bidding data The analysis uses 195 data collected from PWD of Malaysia.
The data is restricted to additional public school buildings because they are the highest number of data available.
Natural logarithm transformation improves the linearity of the data (denoted as ln or LN).
This test is more applicable when examining the normality of data for a small sample size [20].
Levene test shows that (p>0.05) the data variances are equal, thus meeting the model assumption.

Analysis of absorption and reflection data indicates towards the reduction in optical band gap and increase in refractive index of the resulting nanocomposite.
In present work, Ag-PMMA nanocomposite films were prepared by chemical reduction method with thickness in the range of 20-30 µm.
Initially, the reduction of Ag+ ions leads to the formation of silver atoms (Ag0), which is followed by agglomeration into clusters [6].
UV-VIS absorption data was further analysed to calculate optical band gap and refractive index of Ag-PMMA nanocomposite films.