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Simulated results matched well with experimental data in terms of final geometry and temperature, while roll force deviations indicated the need for the refining of the used model.
TWIP steels, on the other hand, deform primarily through mechanical twinning with both mechanisms leading to a high combination of strength and ductility. [1] To further improve material properties, a severe plastic deformation process like accumulative roll bonding (ARB) can be used, which leads to additional grain refinement in the materials after multiple cycles while retaining the starting geometry with a reduction of 50 %. [2] A laminate combining TRIP and TWIP steels can integrate both deformation mechanisms to improve the overall performance of the material, while also increasing the energy absorption through local deformation in the bonding zone.
A thickness reduction of 50% per pass was targeted in accordance with the accumulative roll bonding (ARB) process.
In the end, the final overall height of 2.33 mm corresponds to a reduction of 53.4 %.
Case 2: In this case, a starting height of 3 mm for each layer was used with a final height of 2.9 mm, therefore a slightly lower reduction of 51.7 % was achieved.

Here, we are presenting our data showing properties and activity of plasmonic photocatalysts and their possible application for decomposition of both chemical and biological pollutants.
Here, crucial data for selected samples will be shown and discussed.
Exemplary data of hydrogen evolution during gold, silver and copper deposition on the surface of commercial ST41 titania and SEM image for obtained product, i.e., Au@TiO2, are shown in Fig. 1.
The facets-role assignment (oxidation or reduction) is not clear because in case of OAPs {101} facets play rather the role of both oxidation and reduction sites [26-28].
Exemplary data for one of the least active silver sample (Ag@TiO2(ST41)) are shown in Fig. 4.

Samanc Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia anithia78@gmail.com, bnoordin@fkm.utm.my, czameri@fkm.utm.my Keywords: Lean production; Lean weaknesses; Lean implementation; Waste reduction; Value.
Then by consolidating the lean production weaknesses data in to categories of people, material, equipment, know-how, business and planning or scheduling.
Lean also referred as the cost reduction mechanism for industry [7].

Palm oil showed about 50% reduction in engine torque for the blends of 3 % and 5 %, while naphthalene showed about 11% reduction for the engine torque when the engine speed is more than 4000 rpm.
The engine was left to be idle operation to warm up for 5 minutes before starting the data collection.

The results show that the cost of consumable parts can be reduced to a minimum of only 10.9% of the original design for optimized generator based on cost reduction, but have the problems of lifespan reduction and frequently replacement.
According to above data, a cost comparison estimates as follows: 1 1 0 10 0.1 C 100000 200 Q 10.9% 3 2 C 1000 800 + = = + = (1) Where, Q1 is the reduced percent of the cost of consumable parts with optimized design based on the lowest cost; C0 is the cost of consumable parts of the initial design; C1 is the cost of consumable parts of optimized design based on the lowest cost.

The parameters are determined from the construction data, and a few of them from the field test data.
The model is validated against the unique plant data and the results are presented.
Introduction System or process identification is a mathematical modeling of systems from test or experimental data.
Fig.1 Integrated Boiler model Results and Discussions The data needed for the dynamic simulation of integrated boiler model are collected from the Neyveli Thermal power plant and the input data are listed in Table 1.
Steady State results are compared with the actual plant data.

Benefits of grain refinement of the billet on extrusion were found to be a slight increase in the size of the operating window, and a reduction of the grain size in the extrudate.
However, the effect of the reduction in extrudate grain size due to refinement of the billet was small compared with the amount of grain refinement obtained due to recrystallisation on extrusion.
This is because in Mg alloys the final grain size is critical to the mechanical properties because the Hall-Petch coefficient is very high [1], hence a substantial reduction in grain size leads to a large increase in strength.
Critical to the success of this trial was the determination of the level of Mn that can be tolerated when grain refining with zirconium, as there is little data available as to its tolerable level.

Material characterization indicates potential RDSon reductions of up to 15% or 30% for advanced 1200V SiC MOSFETs and JFETs.
A 24% RDSon improvement for 650V SiC MOSFETs has been demonstrated, with potential reductions of up to 30% for next-generations 1200V SiC MOSFETs.
Such a strong reduction of RDSon is close to what can be expected during the transition from a given device generation to the next one.
The lifetime data (see Fig.12) exhibit an exponential term as expected from the CIPS 2008 [17] as a major driving term.

It was found that the biosorption equilibrium data were fitted very well to the kangmuir as well as to the Freundlich adsorption model.
Adsorption isotherms are essential data source for practical design of adsorption systems and understanding of relation with adsorbent and adsorbate.
From the Table 1, it was observed that the sorption data all have high correlation coefficients (R2> 0.98) at different temperatures.
Higher values of correlation coefficients indicated that adsorption data were fitted to both the Freundlich and Langmuir models.
It was seen that the biosorption equilibrium data were fitted very well to the Langmuir as well as to Freundlich adsorption model.

The large-scale electric vehicle customers’ value-added services management platform for massive data cloud storage is a cloud computing system whose core is data storage and management.
The basic management layer is responsible for data processing with the grid computing technology.
To obtain more adequate monitoring data is one of the basic roles of the multi-source data management system.
However, the multi-source data it gathers are not adequate enough.
MapReduce:Simplified data processing on large clusters/Proc of the 6th SOSDI Berkeley Calif. 2004